Pollution Risk Assessment of the Soil Near the Quarries in Ogun State, Nigeria

Pollution Risk Assessment of the Soil Near the Quarries in Ogun State, Nigeria | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Pollution Risk Assessment of the Soil Near the Quarries in Ogun State, Nigeria Isiaka Adio HASSAN This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4269665/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Quarry is a mining industry through which construction materials are extracted. The investigation is on the pollution risk assessment of the nearby soil of the quarries in Ogun State, Nigeria. Topsoil and subsoil (Forty - Eight) samples were collected from ADE, BAA, OGB, IDO, IGO, ILA, ISA, and IWA (dry and wet seasons) and analysed for K, Mg, Si, As, Se, Ni, and Pb using standard procedures. Pollution level was assessed using the following indices; Pollution (PI), Ecological risk (ERI), and Geo-accumulation (Igeo). Topsoil (west season); all locations were very highly polluted with Mg, and IGO (very highly) polluted with Si and K. Subsoils (west season); BAA and IGO (Mg), ILA and IGO (Si), and ISA and BAA (K) were very highly polluted. Topsoil (wet season) ILA and BAA (As), and OGB, ISA, ILA, BAA, and IGO (Ni) were very highly polluted. In the subsoil (dry season), all locations were very highly polluted with As and Se. In subsoil (dry season); IDO (Pb), and ADE and BAA (As) had very high ecological risk (ER); Igodo had high ER of Pb. Topsoil Igeo (wet season); Mg in all locations (strongly - very strongly) polluted, ILA and IGO (Si), IWA, IDO, ILA, ADE, and IGO (K) were very strongly polluted. Subsoil Igeo (wet season) ILA and IGO (Si), and BAA and ISA (K) were very strongly polluted. Topsoil Igeo (wet season); OGB, ISA, ILA, BAA, and IGO (Ni) were very strongly polluted. Surrounding soils (polluted). Assessment Ogun state Pollution Quarry Risk Soil Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 INTRODUCTION Quarrying is a small scale industry through which construction material are extracted such as granite sand dust and siltstone etc (Hassan, 2022a ). However, despite quarry activities economic importance; it has its peculiar challenges to the environment by destroying landscape through the dust generated that eventually settling on leaves resulting into deficiency in photosynthesis, hence leading to stunted growth of plants (Adeyanju & Okeke, 2019 ; Hassan, 2022a ; Olatunde et al., 2020 ). Moreover, it causes some ailments to human being such as silicosis, catarrh respiratory diseases (Melodi, 2017 ). The topographies of most quarry sites are spurs, saddles, valleys, and river channels etc. The types of rock found around quarries are Quartzite, Magmatite gneiss, Chanockite, and Biotite gneiss. However, the rocks had been disturbed by tectonic activities and formed various fracture, crack, joint etc. (Oyawoye, 1970 ; Rahaman, 1988 ). The negative environmental effects of the abandoned and active quarry operation sites were the source of soil pollution sinkhole formation, and erosion in the vicinity of the quarries (Oyinloye & Ajayi, 2015 ). Besides, the addition of heavy metals into soil was as a result of the mineral and rock extraction activities (Gowd et al., 2010 ). Bada & Fagbayigbo ( 2009 ) reported that there were heavy metal contaminations on the soil at different depth around the quarry site and were decreasing as the distances were far away from the site (Kajola, Obafemi/Owode LGA). Ayodele et al. ( 2014 ) reported that there were heavy metals deposition at certain distances of different layers of the soil at Ikole - Ekiti. The quality of the soil in the vicinity of some quarries at Abeokuta were investigated by Olatunde et al. ( 2021 ); they discovered that iron and zinc were dominant among the heavy metals sampled in the study arena. However, most of these metals in the soil were not found as a free metal rather in their combination form forming products that might be positive or negative to the plants, which eventually affect man as consumers of such plants and could be varying from one location to the other (Morkunas et al., 2018). In addition, the contamination always come from the use of chemicals and nonchalant to the environment during quarrying by the operators (Etim & Adie, 2012; Oyinloye & Ajayi, 2015 ; Rani et al., 2019 ). All over the world, the fear of heavy metal risk has warranted the various studies on them as humans and ecological health are affected by the heavy metal (Ayodele et al., 2014 ; Islam et al., 2017 ; Maanan et al., 2014 ). Heavy metal pollution such as Hg, As, Pb and Cd could cause the following diseases among the others namely, gastro -intestinal disorder, vomiting, skin irritation, mucous membranes,, cancer of various part of the body, anaemia, cardiovascular disorders, and many respiratory diseases (Rai et al., 2019 ; Hassan, 2023b). However, some heavy metal like Fe, Zn, Cr, and Cu in small quantity are useful to the body (Hassan, 2022b ; Hassan, 2023b). Apart from the heavy metal pollution, there are also trace metal pollution whenever, there is human activities, and they are very useful to the body in a very reasonable quantity (Hassan, 2023b). Though too much of these trace metals in combination with many radical e.g. sulphate, nitrate and carbonate could harm the human body (Toth et al., 2016 ; Hassan, 2023a ). Furthermore, the increase in number of quarries in Ogun State resulted in the agitation and condemnation from various pressure groups because of the pollution emanating from quarries activities. However, it is not possible to determine level of the pollution, without comprehensive assessment analysis. Thus, investigation on pollution risk assessment of the soil near the quarries in Ogun State, Nigeria. MATERIALS AND METHODS Study Area Ogun State is the closest state to Lagos State; the economic mainstay of Nigeria (Hassan, 2022 c). Ogun State has approximate landmass of sixteen thousand nine hundred and eighty –one thousand square kilometres and population of three million seven hundred and fifty – one thousand one hundred and forty according to Nigeria population census,2006 .The state has climate variation of rain and dry season. The rain season in Ogun State falls within April and October, while dry season within November and February (Hassan, 2022c ). There are many quarry sites in Ogun State but the functional ones can only be found in six Local Government Areas (LGAs) of the State, namely; Odeda, Owode/Obafemi, Ijebu Norh, Ijebu East, Ijebu North East and Remo North LGA. The sample collection locations/villages with their corresponding operating companies are as follow; Baaki Ake (Blaco) and Adelokun (Zanex) in Owode/Obafemi LGA, Ishara (CCECC) in Remo LGA, Igodo (FW SAN concept) and Ilagbe (DLK) in Odeda LGA, Ogbere (Julius Berger)in Ijebu East LGA, Iwaye (Para crushing) in Ijebu Northeast LGA, and Idode (CCECC)in Ijebu North LGA. Sagamu in Sagamu LGA was a control site (lack quarry site) and it is central to all the selected quarry sites (Hassan, 2023a ). Figure 1 is the map of eight study quarry sites with control in the LGAs of Ogun state. Sampling Techniques Communities/locations that are five hundred – one thousand metres away from the quarry site in all six LGAs were selected (Hassan, 2022a ). Odeda and Obafemi/Owode Local Government Areas (LGAs) have large amount of quarry companies; hence, two communities/locations each were sampled from the two LGAs while one location was sampled from the remaining LGAs (Hassan, 2022a ). However, making a total of eight locations sampled. The soil were taken in harmattan and rainy seasons. Trace and heavy metals were analysed in the soil of eight selected communities; Ogbere (OGB), Iwaye (IWA), Idode (IDO), Isara (ISA), Ilagbe (ILA), Adelokun (ADE), Baaki Ake (BAA), and Igodo (IGO)) around the quarry sites and control site (sagamu) SAG. Sample Collection The samples were taken from topsoil (0–15 cm) and Subsoil (15–30cm). However, at each location soil was collected at three places and bulked and sample for the analysis were taken from the bulk and the same action was carried out at three different places of the location. Invariably, three samples were taken from 0–15 cm and 15–30 cm each at a location; hence, sum of six samples from a particular location and fifty –four in nine locations including control. The samplings were carried out within the 10am and 4pm in November, 2015 for dry (harmattan) season and July, 2017 for wet (rainy) season. The following trace and heavy metals were determined: Trace metals: Mg, Al, K, Si, and Zn. Heavy metals: Pb, Cd, Ni, As, Fe, Cu and Se The samples were subjected to laboratory analyses and the values of each metal in the each three samples from each location were used to calculate means and standard deviation. Laboratory Analysis of Trace and Heavy Metals Five grams of the pulverised sample was put into the 250 mL beaker for digestion. Hydrochloric acid and nitric acid in 3:1, making a volume of 30 mL and added into sample in the beaker and subsequently heated inside the fume cupboard for them to be digested. They were given time to cool down after the digestion. An addition of 20 mL of the extracting solution was put for further digestion and it was allowed to cool to 25 ̊ C and subsequently filtered into 250 mL beaker. However, the addition of distilled and de-ionised water used to mark to the level of 250 mL. Furthermore, standard solutions of aluminum, magnesium, arsenic, copper, zinc, nickel, iron, lead, cadmium, silicon and selenium of 0.2, 0.4, 0.6, 0.8 and 1.0 mg/L were prepared from each of these metal solutions of 1000 mg/L stock solutions of the each metal. These standard solutions of each metal and their respective filtrates from the digested samples were determined using Atomic Absorption Spectrophotometer (AAS) instrument (UNICAM 929). Potassium (K) The sample was first digested in AAS and thereafter subjected to Flame Photometer Spectrophotometry analysis. The standard solutions of K; 0.2, 0.4, 0.6, 0.8, and 1.0 mg/L were obtained from stock solution of 1000 mg/L of K, and put each of them into separate clean borosilicate glass containers. These standard solutions of K, and the filtrate from digestion of the sample were determined using Flame Photometer (Jenway PFP 7). Data Analysis Statistical Package for Science (SAS 9.4 Version) was used for statistical analysis. Descriptive and Inferential statistical tools: Mean and t –test for comparison of mean, Pearson correlation analysis (PCR) was and Principal component analysis (PCA). Correlations between heavy metals, trace metals and the locations were analysed using the Pearson correlation analysis (PCR). The PCA was evaluated to study the possible causes of heavy and trace metals in the soils of the localities around the quarry sites (Baltas et al., 2020 ). However, the Earth crust values (Alloway, 1995 ) were used to match with the values of heavy metals generated through laboratory analysis. Furthermore, the chances that the surrounding polluted soils might cause environmental and health hazard were calculated using Pollution index (PI), Ecological risk index (ERI), Geo-accumulation index (GI), and Enrichment index (EI) Evaluation of pollution index Pollution index is calculated by using Eq. 1 Pi = C i / B (1) C i = metal concentration in the sample (heavy or trace) B = metal concentration (control soil) The metal (heavy or trace) pollution is ranked by four pollution levels based on the index (Hassan et al., 2023 b; Olatunde et al., 2020 ); as demonstrated in Table 1 Table 1 Classification of Pollution Index (Hassan et al., 2023 b; Olatunde et al., 2020 ) Value Pollution level Pi ≤ 1 Low 1 < Pi ≤ 3 Moderate 3 6 very high Evaluation of ecological risk index The ecological risk index (Eri) = T i r ∗ P i (2) Eri = ecological risk factor, Pi = pollution index, and T i r = toxic response factor (constant) Table 2 shows toxicity of metals level or factor Table 2 Toxicity of Metals Factor (Kolawole et al., 2018 ; Nouri and Haddioui, 2016 ) Metal Toxic Response Factor As 10 Cu 5 Pb 5 Cr Cd Ni Zn Mn 2 30 5 1 1 The ecological risk level of the metal is ranked by using five values of the index (Hassan et al., 2023 b; Kolawole et al., 2018 ); as demonstrated in Table 3 Table 3 Classification of Ecological Risk Index ( Hassan et al., 2023 b; Kolawole et al., 2018 ) Value Ecological risk level Er i very high Evaluation of geo-accumulation index The geo-accumulation index (Igeo) = Log 2 ( C i / 1. 5 B ) (3) B = metal concentration (heavy or trace) in the control The geo-accumulation levels of the metal (heavy or trace) are ranked by using seven values of the index as in Table 4 Table 4 Classification of Geo-Accumulation Index (Hassan et al., 2023 b; Huu et al., 2020) Value Geo-accumulation level I geo < 0 Unpolluted 0 < Igeo < 1 unpolluted - moderately polluted 1 < Igeo < 2 moderately polluted 2 < Igeo < 3 moderately - strongly polluted 3 < Igeo < 4 strongly polluted 4 < Igeo < 5 strongly - very strongly polluted I geo ≥ 5 very strongly polluted Determination of enrichment factor index (EFI) EFI = ( Cn ∕ C Fe) sample/( Cn ∕ C Fe) crust (4) Where Cn = concentration of the element of concern in polluted soil C Fe (p) = concentration of Fe in the polluted soil Cn (crust) = concentration of the element of concern in the crust C Fe (crust) = concentration of the Fe in the crust. The degree of enrichment of any element is based on five enrichment factor classes in the Table 5 Table 5 Classification of the Enrichment Factor index ( Baltas, 2020; Sutherland et al., 2000 ) RESULT AND DISUSSION Table 6 Trace metal (µg/kg) of Top Soil in Dry and Rainy Season (N = 3) Dry Rainy Trace metal/Location Zn Mg Si Al K Zn Mg Si Al K OGB 1.41 ± 0.23 0.85 ± 0.87 23.67 ± 0.11 10.45 ± 0.17 0.06 ± 0.44 0.06 ± 0.02 0.41 ± 0.02 0.0001 ± 0.00 0.0015 ± 0.32 0.003 ± 0.0 IWA 1.58 ± 0.43 0.21 ± 0.27 26.29 ± 0.73 12.64 ± 0.24 0.07 ± 0.41 0.06 ± 0.00 0.45 ± 0.12 0.0010 ± 0.00 0.0017 ± 0.14 0.194 ± 0.21 IDO 1.61 ± 0.22 0.11 ± 0.91 32.15 ± 0.93 14.41 ± 0.21 0.07 ± 0.7 0.07 ± 0.00 0.41 ± 0.09 0.0009 ± 0.02 0.0021 ± 0.01 0.228 ± 0.11 ISA 1.63 ± 0.78 0.31 ± 0.21 29.34 ± 0.29 13.87 ± 0.29 0.07 ± 0.39 0.08 ± 0.02 0.38 ± 0.14 0.0009 ± 0.00 0.0016 ± 0.00 0.005 ± 0.00 ILA 1.48 ± 0.37 0.82 ± 0.33 3.32 ± 0.47 13.49 ± 0.47 0.04 ± 0.11 0.12 ± 0.10 0.38 ± 0.04 3.4520 ± 0.24 0.0016 ± 0.00 0.182 ± 0.00 ADE 1.85 ± 0.21 0.91 ± 0.41 3.42 ± 0.38 14.57 ± 0.37 0.05 ± 0.38 0.07 ± 0.00 0.42 ± 0.02 0.0008 ± 0.00 0.0018 ± 0.00 0.216 ± 0.42 BAA 1.96 ± 0.44 0.97 ± 0.29 3.52 ± 0.21 16.09 ± 0.49 0.06 ± 0.74 0.06 ± 0.00 0.40 ± 0.22 0.0010 ± 0.00 0.0021 ± 0.01 0.004 ± 0.12 IGO 1.52 ± 0.19 0.86 ± 0.93 3.35 ± 0.24 13.75 ± 0.24 0.05 ± 0.33 0.11 ± 0.13 0.31 ± 0.14 3.4740 ± 0.34 0.0012 ± 0.00 0.169 ± 0.03 SAG 1.66 ± 0.01 0.41 ± 0.00 19.94 ± 0.14 11.40 ± 0.10 0.07 ± 0.00 0.02 ± 0.00 0.01 ± 0.00 0.0007 ± 0.00 0.0004 ± 0.00 0.003 ± 0.00 Table 7 Trace metal (µg/kg) of Sub Soil in Dry and Rainy Season (N = 3) Season Dry Rainy Location Zn Mg Si Al K Zn Mg Si Al K OGB 1.36 ± 0.12 0.81 ± 0.2 24.31 ± 0.22 9.98 ± 0.79 0.07 ± 0.00 0.06 ± 0.03 0.01 ± 0.01 0.0005 ± 0.00 0.0012 ± 0.00 0.004 ± 0.00 IWA 1.5 ± 0.42 0.19 ± 0.23 27.84 ± 0.38 10.97 ± 0.47 0.07 ± 0.00 0.05 ± 0.02 0.01 ± 0.01 0.0005 ± 0.00 0.0014 ± 0.00 0.004 ± 0.00 IDO 1.49 ± 0.31 0.13 ± 0.39 33.64 ± 1.02 12.85 ± 0.31 0.07 ± 0.00 0.04 ± 0.02 0.01 ± 0.01 0.0004 ± 0.00 0.0012 ± 0.00 0.004 ± 0.00 ISA 1.54 ± 0.28 0.26 ± 0.11 30.15 ± 1.44 12.17 ± 0.33 0.07 ± 0.00 0.05 ± 0.02 0.01 ± 0.01 0.0004 ± 0.00 0.0011 ± 0.00 0.17 ± 0.01 ILA 1.32 ± 0.19 0.82 ± 0.31 3.45 ± 0.47 11.05 ± 0.41 0.05 ± 0.00 0.05 ± 0.02 0.01 ± 0.01 3.32 ± 0.01 0.0011 ± 0.00 0.003 ± 0.00 ADE 1.69 ± 0.22 0.91 ± 0.21 3.52 ± 0.39 12.55 ± 0.22 0.05 ± 0.00 0.06 ± 0.03 0.01 ± 0.01 0.0004 ± 0.00 0.0011 ± 0.00 0.005 ± 0.00 BAA 1.76 ± 0.19 0.66 ± 0.31 3.68 ± 0.27 14.09 ± 0.33 0.05 ± 0.00 0.05 ± 0.03 0.02 ± 0.01 0.0006 ± 0.00 0.0014 ± 0.00 0.21 ± 0.01 IGO 1.52 ± 0.29 0.86 ± 0.27 3.35 ± 0.49 13.75 ± 0.21 0.05 ± 0.00 0.05 ± 0.01 0.02 ± 0.01 3.4 ± 0.02 0.0014 ± 0.00 0.004 ± 0.00 SAG 1.58 ± 0.18 0.36 ± 0.09 20.64 ± 0.99 10.69 ± 0.19 0.07 ± 0.00 0.01 ± 0.00 0.003 ± 0.0 0.0004 ± 0.00 0.0007 ± 0.00 0.001 ± 0.00 Table 8 T-Test for Trace metals (µg/kg) of Soil in Dry and Rainy Season Mean value T- Statistics Season/Metal Dry Wet T-Stat. P-value Decision Zn 1.57 0.06 36.54 7.14E-29 Significant Si 14888.56 34035.22 9.63E-07 1.93E-06 Significant Al 12.60 11.94 0.79 0.44 Not Significant K 0.06 0.06 -1.04 0.31 Not Significant Mg 0.58 0.19 4.52 7.14E-05 Significant Table 9 Principal Component Analysis (PCA) For Trace Metal PC1 PC2 OGB -0.35211 0.268951 IWA -0.34547 0.272372 IDO -0.35698 0.260575 ISA -0.34463 0.271967 ILA 0.328365 0.201937 ADE 0.312324 0.515358 BAA 0.321327 0.510956 IGO 0.344185 0.215848 SAG -0.28875 0.312368 Standard deviation 0.7615 0.04539 Proportion of Variance (%) 99.560 0.35400 Cumulative Proportion (%) 99.560 99.9120 Table 10 Heavy metal (µg/kg) of Top Soil in Dry and Rainy Season (N = 3) Dry Rainy Location Pb As Ni Se Cu Fe Cd Pb As Ni Se Cu Fe Cd OGB 0.021 ± 0.01 0.004 ± 0.00 0.012 ± 0.0 0.002 ± 0.0 3.15 ± 0.03 1264.35 ± 16.69 0.008 ± 0.00 0.022 ± 0.01 0.006 ± 0.0 0.224 ± 0.14 0.001 ± 0.00 0.042 ± 0.01 0.043 ± 0.01 0.016 ± 0.01 IWA 0.029 ± 0.01 0.005 ± 0.01 0.022 ± 0.0 0.003 ± 0.0 2.95 ± 0.02 1648.64 ± 65.64 0.006 ± 0.00 0.018 ± 0.01 0.006 ± 0.0 0.001 ± 0.00 0.001 ± 0.00 0.042 ± 0.01 0.045 ± 0.01 0.013 ± 0.00 IDO 0.018 ± 0.01 0.006 ± 0.01 0.023 ± 0.0 0.003 ± 0.0 3.31 ± 0.03 1824.75 ± 35.66 0.006 ± 0.00 0.014 ± 0.00 0.004 ± 0.0 0.001 ± 0.00 0.000 ± 0.00 0.031 ± 0.01 0.035 ± 0.01 0.012 ± 0.00 ISA 0.019 ± 0.01 0.008 ± 0.01 0.018 ± 0.0 0.003 ± 0.0 3.42 ± 0.03 1731.1 ± 25.63 0.005 ± 0.00 0.022 ± 0.01 0.006 ± 0.0 0.211 ± 0.12 0.001 ± 0.00 0.033 ± 0.01 0.042 ± 0.01 0.012 ± 0.01 ILA 0.026 ± 0.01 0.009 ± 0.01 0.021 ± 0.0 0.003 ± 0.0 4.11 ± 0.04 968.91 ± 15.62 0.007 ± 0.00 0.020 ± 0.01 0.007 ± 0.0 0.219 ± 0.13 0.001 ± 0.00 0.037 ± 0.01 0.040 ± 0.01 0.014 ± 0.00 ADE 0.032 ± 0.01 0.011 ± 0.01 0.024 ± 0.0 0.002 ± 0.0 4.74 ± 0.04 1385.22 ± 85.41 0.008 ± 0.00 0.015 ± 0.01 0.006 ± 0.0 0.001 ± 0.00 0.000 ± 0.00 0.032 ± 0.01 0.051 ± 0.01 0.013 ± 0.00 BAA 0.035 ± 0.01 0.012 ± 0.01 0.024 ± 0.0 0.002 ± 0.0 5.1 ± 0.05 1422.13 ± 95.21 0.009 ± 0.01 0.026 ± 0.01 0.007 ± 0.0 0.238 ± 0.11 0.000 ± 0.00 0.045 ± 0.02 0.042 ± 0.01 0.013 ± 0.00 IGO 0.027 ± 0.01 0.011 ± 0.01 0.023 ± 0.0 0.003 ± 0.0 3.91 ± 0.03 1184.07 ± 35.11 0.007 ± 0.00 0.015 ± 0.01 0.005 ± 0.0 0.242 ± 0.13 0.001 ± 0.00 0.032 ± 0.01 0.035 ± 0.01 0.013 ± 0.00 SAG 0.012 ± 0.01 0.005 ± 0.00 0.017 ± 0.0 0.004 ± 0.0 2.83 ± 0.02 2157.74 ± 36.01 0.004 ± 0.00 0.010 ± 0.00 0.003 ± 0.0 0.001 ± 0.00 0.000 ± 0.00 0.014 ± 0.01 0.012 ± 0.01 0.058 ± 0.01 Earth crust 0.014 0.0015 0.080 0.050 - 0.0001 0.014 0.0015 0.080 - 50 - 0.1 Table 11 Heavy metal (µg/kg) of Sub Soil in Dry and Rainy Season (N = 3) Dry Wet Heavy metal/Location Pb As Ni Se Cu Fe Cd Pb As Ni Se Cu Fe Cd OGB 0.021 ± 0.0 0.004 ± 0.0 0.011 ± 0.0 0.002 ± 0.0 2.82 ± 0.7 1175.84 ± 17.8 0.006 ± 0.0 0.015 ± 0.0 0.005 ± 0.0 0.009 ± 0.0 0.001 ± 0.0 0.034 ± 0.0 0.034 ± 0.0 0.010 ± 0.0 IWA 0.026 ± 0.0 0.005 ± 0.0 0. 018 ± 0.0 0.002 ± 0.0 2.76 ± 0.3 1625.42 ± 12.4 0.006 ± 0.0 0.014 ± 0.0 0.005 ± 0.0 0.001 ± 0.0 0.001 ± 0.0 0.026 ± 0.0 0.032 ± 0.0 0.009 ± 0.0 IDO 1.487 ± 0.5 0.005 ± 0.0 0.021 ± 0.0 0.003 ± 0.0 3.19 ± 0.4 1795.75 ± 19.7 0.006 ± 0.0 0.009 ± 0.0 0.003 ± 0.0 0.000 ± 0.0 0.001 ± 0.0 0.010 ± 0.0 0.030 ± 0.0 0.008 ± 0.0 ISA 0.017 ± 0.0 0.007 ± 0.0 0.015 ± 0.0 0.002 ± 0.0 3.42 ± 0.3 1693.63 ± 19.6 0.005 ± 0.0 0.012 ± 0.0 0.004 ± 0.0 0.008 ± 0.0 0.001 ± 0.0 0.029 ± 0.0 0.032 ± 0.0 0.009 ± 0.0 ILA 0.025 ± 0.0 0.007 ± 0.0 0.023 ± 0.0 0.003 ± 0.0 3.43 ± 0.3 853.30 ± 5.3 0.005 ± 0.0 0.014 ± 0.0 0.004 ± 0.0 0.008 ± 0.0 0.001 ± 0.0 0.031 ± 0.0 0.032 ± 0.0 0.010 ± 0.0 ADE 0.029 ± 0.0 0.010 ± 0.0 0.024 ± 0.0 0.003 ± 0.0 4.12 ± 0.4 1215.31 ± 11.3 0.007 ± 0.0 0.013 ± 0.0 0.004 ± 0.0 0.000 ± 0.0 0.001 ± 0.0 0.025 ± 0.0 0.032 ± 0.0 0.009 ± 0.0 BAA 0.031 ± 0.0 0.010 ± 0.0 0.025 ± 0.0 0.002 ± 0.0 4.75 ± 0.5 1318.22 ± 11.2 0.006 ± 0.0 0.019 ± 0.0 0.005 ± 0.0 0.010 ± 0.0 0.000 ± 0.0 0.029 ± 0.0 0.040 ± 0.0 0.011 ± 0.0 IGO 0.026 ± 0.0 0.008 ± 0.0 0.024 ± 0.0 0.003 ± 0.0 3.54 ± 0.3 1055.45 ± 15.4 0.005 ± 0.0 0.015 ± 0.0 0.005 ± 0.0 0.010 ± 0.0 0.001 ± 0.0 0.033 ± 0.0 0.032 ± 0.0 0.011 ± 0.0 SAG 0.010 ± 0.0 0.005 ± 0.0 0.015 ± 0.0 0.003 ± 0.0 2.73 ± 0.2 1963.27 ± 16.2 0.004 ± 0.0 0.007 ± 0.0 0.002 ± 0.0 0.000 ± 0.0 0.000 ± 0.0 0.006 ± 0.0 0.009 ± 0.0 0.003 ± 0.0 Earth crust 0.014 0.0015 0.080 - 0.050 - 0.0001 0.014 0.0015 0.080 - 50 - 0.0001 Table 12 T-Test for Heavy Metals (µg/kg) of Soil in Dry and Rainy Season Metal Mean values T- Statistics Dry Wet T-stat. p-value Decision Pb 0.11 0.02 1.01 0.32 Not Significant As 0.01 0.01 -2.63 0.01 Significant Ni 0.01 0.01 -2.89 0.01 Significant Se 0.02 0.07 -1.89 0.07 Not Significant Cu 3.57 3.38 0.58 0.56 Not Significant Fe 1460.17 1059.26 3.82 5.47E-04 Significant Cd 0.01 0.01 -0.83 0.41 Not Significant Table 13 Principal Component Analysis (PCA) For Heavy Metal Location PC1 PC2 OGB -0.02431 -0.33279 IWA 0.411416 -0.38 IDO 0.397738 -0.37847 ISA 0.353866 -0.37375 ILA -0.42973 -0.28834 ADE -0.45748 -0.28548 BAA -0.04938 -0.32981 IGO -0.33992 -0.29832 SAG -0.18652 -0.31546 Standard deviation 0.001696 0.000573 Proportion of Variance (%) 89.76400 10.23600 Cumulative Proportion (%) 89.76400 100 Table 14 Pollution Index of Trace metals in Top soil (Dry and Rainy season) Season Dry Rainy Metal/ Location Zn Mg Si Al K Zn Mg Si Al K OGB 0.85 2.07 1.19 0.92 0.86 3.00 41.00 0.14 3.75 1.00 IWA 0.95 0.51 1.32 1.11 1.00 3.00 45.00 1.43 4.25 64.67 IDO 0.97 0.27 1.61 1.27 1.00 3.50 41.00 1.29 5.25 76.00 ISA 0.98 0.76 1.47 1.22 1.00 4.00 38.00 1.29 4.00 1.67 ILA 0.89 2.00 0.17 1.19 0.57 6.00 38.00 4950.29 4.00 60.67 ADE 1.11 2.22 0.17 1.28 0.71 3.50 42.00 1.14 4.50 72.00 BAA 1.17 2.37 0.18 1.41 0.86 3.00 40.00 1.43 5.25 1.33 IGO 0.92 2.10 0.17 1.21 0.71 5.50 31.00 4962.57 3.00 56.33 Table 15 Pollution Index of Trace Metals in Subsoil (Dry and Rainy season) Season Dry Rainy Metal/ Location Zn Mg Si Al K Zn Mg Si Al K OGB 0.86 2.25 1.18 0.93 1.00 6.00 3.33 1.25 1.71 4.00 IWA 0.95 0.53 1.35 1.02 1.00 5.00 3.33 1.25 2.00 4.00 IDO 0.94 0.36 1.63 1.20 1.00 4.00 3.33 1.00 1.71 4.00 ISA 0.97 0.72 1.46 1.14 1.00 5.00 3.33 1.00 1.57 170.00 ILA 0.84 2.28 0.17 1.03 0.71 5.00 3.33 8,300.00 1.57 3.00 ADE 1.07 2.53 0.17 1.17 0.71 6.00 3.33 1.00 1.57 5.00 BAA 1.11 1.83 0.18 1.32 0.71 5.00 6.67 1.50 2.00 210.00 IGO 0.96 2.39 0.16 1.29 0.71 5.00 6.67 8,500.00 2.00 4.00 Table 16 Pollution Index of Heavy Metals in Topsoil (Dry and Rainy season) Season Dry Wet Metal/ Location Pb As Ni Se Cu Fe Cd Pb As Ni Se Cu Fe Cd OGB 1.75 0.80 0.71 0.50 1.12 0.59 2.00 2.2 6.0 11.2 0.0 3.0 3.6 0.3 IWA 2.42 1.00 1.10 0.75 1.04 0.76 1.60 1.8 6.0 0.4 0.0 3.0 3.8 0.2 IDO 1.50 1.20 1.35 0.17 1.15 0.84 1.33 1.4 4.0 0.4 0.0 2.1 2.9 0.2 ISA 1.58 2.00 1.13 0.75 1.45 0.80 1.25 2.2 6.0 9.9 0.0 1.7 3.5 0.2 ILA 2.92 3.18 2.35 1.41 1.45 0.45 1.75 2.0 7.0 10.9 0.0 2.4 3.3 0.2 ADE 2.67 2.20 1.91 0.50 1.76 0.64 2.00 1.5 6.0 0.4 0.0 2.3 4.3 0.2 BAA 2.92 2.40 2.18 0.50 1.69 0.66 2.25 2.6 7.0 13.9 0.0 3.2 3.6 0.2 IGO 2.25 2.20 2.20 1.00 1.38 0.55 2.33 1.5 5.0 14.9 0.0 2.3 2.9 0.2 Table 17 Pollution Index of Heavy metal in Subsoil (Dry and Rainy season) Season Dry Rainy Heavy metal/ Location Pb As Ni Se Cu Fe Cd Pb As Ni Se Cu Fe Cd OGB 2.10 8.00 0.73 6.67 1.03 0.60 1.50 2.14 2.50 0.00 0.00 5.67 3.78 3.33 IWA 2.60 10.00 1.20 6.67 1.01 0.83 1.50 2.00 2.50 0.00 0.00 4.33 3.56 3.00 IDO 148.7 10.00 1.40 10.0 1.17 0.91 1.50 1.29 1.50 0.00 0.00 1.67 3.33 2.67 ISA 1.70 14.00 0.98 6.67 1.25 0.86 1.25 1.71 2.00 0.00 0.00 4.83 3.56 3.00 ILA 2.50 14.00 1.53 10.0 1.26 0.43 1.25 2.00 2.00 0.00 0.00 5.17 3.56 3.33 ADE 2.90 20.00 1.60 10.0 1.51 0.62 1.75 1.86 2.00 0.00 0.00 4.17 3.56 3.00 BAA 3.10 20.00 1.67 6.67 1.74 0.67 1.50 2.71 2.50 0.00 0.00 4.83 4.44 3.67 IGO 2.60 16.00 1.60 10.0 1.30 0.54 1.25 2.14 2.50 0.00 0.00 5.50 3.56 3.67 Table 18 Ecological Risk Index of Heavy metal in Topsoil (Dry and Wet season) Season Dry Rainy Heavy metal/ Location Pb As Ni Se Cu Fe Cd Pb As Ni Se Cu Fe Cd OGB 8.75 8.00 3.53 - 5.58 - 60.00 11.0 60.0 56.0 - 15.0 - 9.0 IWA 12.09 10.00 5.50 - 5.2 - 48.00 9.0 60.0 4.0 - 15.0 - 6.0 IDO 7.50 12.00 6.77 - 5.77 - 39.99 7.0 40.0 2.0 - 10.5 - 6.0 ISA 7.92 20.00 5.63 - 7.24 - 37.50 11.0 60.0 49.5 - 8.5 - 6.0 ILA 14.59 31.82 11.77 - 7.27 - 52.50 10.0 70.0 54.5 - 12.0 - 6.0 ADE 13.34 22.00 9.55 - 8.79 - 60.00 7.5 60.0 4.0 - 11.5 - 6.0 BAA 14.59 24.00 10.91 - 8.46 - 67.50 13.0 70.0 69.5 - 16.0 - 6.0 IGO 11.25 22.00 11.00 - 6.90 - 69.99 7.5 50.0 74.5 - 11.5 - 6.0 Table 19 Ecological Risk Index of Heavy metal in Subsoil (Dry and Rainy season) Season Dry Rainyt Heavy metal/ Location Pb As Ni Se Cu Fe Cd Pb As Ni Se Cu Fe Cd OGB 10.5 80.00 3.65 - 5.15 - 45.00 10.72 25.00 0.00 - 28.33 - 100.0 IWA 13.0 100.0 6.00 - 5.12 - 45.00 10.00 25.00 0.00 - 21.67 - 90.00 IDO 743.5 100.0 14.0 - 1.38 - 45.00 6.43 15.00 0.00 - 8.33 - 80.01 ISA 8.17 98.00 6.49 - 8.34 - 15.63 8.57 20.00 0.00 - 24.17 - 90.00 ILA 12.5 196.0 2.30 - 1.58 - 18.75 10.00 20.00 0.00 - 25.83 - 100.0 ADE 14.5 400.0 9.60 - 7.55 - 52.50 9.29 20.00 0.00 - 20.83 - 90.00 BAA 15.5 400.0 10.0 - 11.61 - 45.00 13.57 25.00 0.00 24.17 - 110.0 IGO 13.00 320.0 8.00 - 6.50 - 31.25 10.72 25.00 0.00 - 27.50 - 110.0 Table 20 Geo – accumulation Index of Trace metals in Topsoil (Dry and Rainy season) Season Dry Rainy Trace metal/Location Zn Mg Si Al K Zn Mg Si Al K OGB -0.82 0.47 -0.34 -0.71 -0.81 1.00 4.77 -3.39 1.32 -0.58 IWA -0.66 -1.55 -0.19 -0.44 -0.58 1.00 4.91 -0.07 1.51 5.43 IDO -0.63 -2.48 0.10 -0.25 -0.58 1.22 4.77 -0.22 1.81 5.66 ISA -0.61 -0.99 -0.03 -0.30 -0.58 1.42 4.66 -0.22 1.42 0.15 ILA -0.75 0.42 -3.17 -0.34 -1.39 2.00 4.66 11.68 1.42 5.34 ADE -0.43 0.57 -3.13 -0.23 -1.07 1.22 4.81 -0.39 1.58 5.58 BAA -0.35 0.66 -3.09 -0.09 -0.81 1.00 4.74 -0.07 1.81 -0.17 IGO -0.71 0.48 -3.16 -0.31 -1.07 1.87 4.37 11.69 1.00 5.23 Table 21 Geo – accumulation Index of Trace Metal in Subsoil (Dry and Rainy season) Season Dry Rainy Trace metal/ Location Zn Mg Si Al K Zn Mg Si Al K OGB -0.80 0.58 -0.35 -0.68 -0.58 2.00 1.15 -0.26 0.19 1.42 IWA -0.66 -1.51 -0.15 -0.55 -0.58 1.74 1.15 -0.26 0.42 1.42 IDO -0.67 -2.05 0.12 -0.32 -0.58 1.42 1.15 -0.58 0.19 1.42 ISA -0.62 -1.05 -0.04 -0.40 -0.58 1.74 1.15 -0.58 0.07 6.82 ILA -0.84 0.60 -3.17 -0.54 -1.07 1.74 1.15 12.43 0.07 1.00 ADE -0.49 0.75 -3.14 -0.35 -1.07 2.00 1.15 -0.58 0.07 1.74 BAA -0.43 0.29 -3.07 -0.19 -1.07 1.74 2.15 -0.00 0.42 7.13 IGO -0.64 0.67 -3.21 -0.22 -1.07 1.74 2.15 12.47 0.42 1.42 Table 22 Geo – accumulation Index of Heavy metal in Topsoil (Dry and Rainy Season) Season Dry Rainy Heavy metal/Location Pb As Ni Se Cu Fe Cd Pb As Ni Se Cu Fe Cd OGB 0.22 -0.91 -1.09 -1.58 -0.43 -1.36 0.42 0.55 0.42 7.22 0 1.00 1.26 -2.44 IWA 0.69 -0.58 -0.21 -1.00 -0.53 -0.97 0.00 0.26 0.42 -0.58 0 1.00 1.32 -2.74 IDO 0.00 -0.32 -0.15 -1.00 -0.36 -0.83 0.00 -0.10 -0.17 -0.58 0 0.56 0.96 -2.86 ISA 0.08 0.09 -0.50 -1.00 -0.31 -0.90 -0.26 0.55 0.42 7.14 0 0.65 1.22 -2.86 ILA 0.53 0.26 -0.28 -1.00 -0.05 -1.74 0.22 0.42 0.64 7.19 0 0.82 1.15 -2.64 ADE 0.83 0.55 -0.09 -1.58 0.16 -1.22 0.42 -0.00 0.42 -0.58 0 0.61 1.50 -2.74 BAA 0.96 0.68 -0.09 -1.58 0.26 -1.19 0.58 0.79 0.64 7.31 0 1.10 1.22 -2.74 IGO 0.58 0.55 -0.15 -1.00 -0.12 -1.45 0.22 0.00 0.15 7.33 0 0.61 0.96 -2.74 Table 23 Geo – accumulation Index of Heavy metal in Subsoil (Dry and Rainy Season) Season Dry Rainy Heavy metal/Location Pb As Ni Se Cu Fe Cd Pb As Ni Se Cu Fe Cd OGB 0.49 -0.91 -1.03 -1.17 -0.54 -1.32 0.00 0.51 0.74 0 0 1.92 1.33 1.15 IWA 0.79 -0.58 -0.32 -1.17 -0.57 -0.86 0.00 0.42 0.74 0 0 1.53 1.25 1.00 IDO 6.63 -0.58 -0.10 -0.58 -0.36 -0.71 0.00 -0.22 0.00 0 0 0.15 1.15 0.83 ISA 0.18 -0.10 -0.58 -1.17 -0.26 -0.80 -0.26 0.19 0.42 0 0 1.69 1.25 1.00 ILA 0.74 -0.10 0.03 -0.58 -0.26 -1.79 -0.26 0.42 0.42 0 0 1.78 1.25 1.15 ADE 0.95 0.42 0.09 -0.58 0.01 -1.28 0.22 0.31 0.42 0 0 1.47 1.25 1.00 BAA 1.05 0.42 0.15 -1.17 0.21 -1.16 0.00 0.86 0.74 0 0 1.69 1.57 1.29 IGO 0.79 0.09 0.10 -0.58 -0.21 -0.81 0.00 0.51 0.75 0 0 1.87 1.25 1.29 Table 24 Enrichment Factor Index of Heavy Metals in Topsoil (Dry and Rainy Season) Season Dry Rainy Heavy metal/Location Pb As Ni Se Cu Cd Pb As Ni Se Cu Cd OGB 2.99 1.37 1.20 0.85 1.90 3.41 0.61 0.56 62.51 0 0.84 0.08 IWA 3.16 1.31 1.69 0.98 1.36 1.96 0.48 0.53 0.27 0 0.80 0.06 IDO 1.77 1.42 1.60 0.89 1.38 1.77 0.48 0.46 0.34 0 0.76 0.07 ISA 1.97 1.99 1.32 0.93 1.51 1.56 0.63 0.57 60.29 0 0.67 0.06 ILA 4.83 4.01 2.75 1.67 3.23 3.90 0.60 0.70 65.70 0 0.79 0.07 ADE 4.15 3.43 2.20 0.78 2.61 3.12 0.35 0.47 0.24 0 0.54 0.05 BAA 4.43 3.64 2.14 0.76 2.73 3.41 0.74 0.67 68.00 0 0.92 0.06 IGO 4.10 4.01 2.47 1.37 2.52 3.19 0.51 0.57 82.97 0 0.78 0.08 Table 25 Enrichment Factor Index of Heavy Metals in Subsoil (Dry and Rainy Season) Season Dry Rainy Heavy metal/ Location Pb As Ni Se Cu Cd Pb As Ni Se Cu Cd OGB 3.51 1.34 1.22 1.11 1.72 2.50 0.57 0.66 0 0 1.50 0.88 IWA 3.14 1.21 1.45 0.81 1.22 1.81 0.56 0.70 0 0 1.22 0.84 IDO 162.57 1.09 1.53 1.09 1.28 1.64 0.39 0.45 0 0 0.50 0.80 ISA 1.97 1.62 1.16 0.77 1.45 1.45 0.48 0.56 0 0 1.36 0.84 ILA 5.75 3.22 3.53 2.30 2.89 2.88 0.56 0.56 0 0 1.45 0.94 ADE 4.68 3.23 2.58 1.62 2.44 2.83 0.52 0.56 0 0 1.17 0.84 BAA 4.62 2.98 2.48 0.99 2.59 2.23 0.61 0.56 0 0 1.09 0.82 IGO 4.84 2.98 2.98 1.86 2.41 2.33 0.60 0.70 0 0 1.55 1.03 DISCUSSION Table 6 demonstrates the determination of the trace metal contents of the topsoil in the harmattan and rainy season. In the harmattan season, Zn varies from 1.41 ± 0.23–1.96 ± 0.44 µg/kg with OGB and BAA respectively. With the exclusion of BAA (1.96 ± 0.44 µg/kg) that was greater than the control (1.66 ± 0.01 µg/kg) (Etim & Adie, 2012). In the rainy season, Zn across the locations showed that IWA and ILA vary from 0.06 ± 0.00–0.12 ± 0.10 µg/kg respectively. Comparing these with the control (0.02 ± 0.00 µg/kg), it was discovered that none was lesser than the control (Etim & Adie, 2012). However, the values of the Mg in the harmattan season, vary from 0.11 ± 0.91–0.97 ± 0.29 µg/kg with IDO, and BAA respectively; with the exception of IWA (0.21 ± 0.27 µg/kg), IDO (0.11 ± 0.91 µg/kg), and ISA (0.31 ± 0.21 µg/kg) that lesser than the control (0.41 ± 0.00 µg/kg) (Ayodele et al., 2014 ). As far as Mg across the locations in rainy is concerned, the values vary as follow; 0.31 ± 0.14 µg/kg (IGO) − 0.45 ± 0.12 µg/kg (IWA), and were greater than the control (0.01 ± 0.00 µg/kg) (Ayodele et al., 2014 ). Si content in the dry season varies from 3.32 ± 0.47–32.15 ± 0.93 µg/kg with corresponding locations; ILA and IDO. However, ILA (3.32 ± 0.47 µg/kg), ADE (3.42 ± 0.38 µg/kg), BAA (3.52 ± 0.21 µg/kg) and IGO (3.35 ± 0.24 µg/kg) were lesser than the control (19.94 ± 0.14 µg/kg); whereas OGB (23.67 ± 0.11 µg/kg), ISA (29.34 ± 0.29 µg/kg), IDO (32.15 ± 0.93 µg/kg) and IWA (26.29 ± 0.73 µg/kg) were greater (Olatunde et al., 2021 ). Si (rainy season) across the locations, the values were within the range 0.0001 ± 0.0–3.474 ± 0.34 µg/kg with OGB and IGO respectively; with the exclusion of OGB (0.0001 ± 0.0 µg/kg), all other locations were greater than the control (0.0007 ± 0.00 µg/kg) (Olatunde et al., 2021 ). Al (harmattan season) varies from 10.45 ± 0.17–16.09 ± 0.49 µg/kg; with the OGB and BAA respectively. All the locations were greater than the control (11.40 ± 0.10 µg/kg) (Olatunde et al., 2021 ). Furthermore, Al (rainy season) ranges between 0.0012 ± 0.0–0.0021 ± 0.01 µg/kg with corresponding locations; 1GO and IDO/BAA. In fact, all the locations were greater than the control (0.0004 ± 0.00 µg/kg). (Olatunde et al., 2021 ). Furthermore, K (harmattan season) values across the locations vary from (ILA) 0.04 ± 0.11–0.07 ± 0.41 µg/kg (IWA). However, three locations; IWA (0.07 ± 0.41 µg/kg), IDO (0.07 ± 0.7µg/kg) and ISA (0.07 ± 0.39 µg/kg) were more or less the same values as the control (0.07 ± 0.00 µg/kg) (Olatunde et al., 2021 ). Finally, the K (rainy season) values across locations vary from 0.003 ± 0.0–0.228 ± 0.11 µg/kg with their respective locations; OGB and IDO. None of these values was lesser than the control (0.003 ± 0.00 µg/kg) (Olatunde et al., 2021 ). Generally, in the locations where the trace metal higher than the control connote that they were affected by quarry activities but good for the surrounding soil as they are good as plants nutrient (Adeyanju & Okeke, 2019 ; Morkunas et al., 2018), which could invariably be consumed by man, hence good health. However, the locations where the trace metal were lesser than the control; though they were few but could be as a result of the following reasons; rigorous farming that was going on there as at the time of sampling in both season (Hassan, 2022b ). In addition, those locations where within the sphere of the quarries that opposed the tax levied by the Ogun state government in 2014, on the quarries (Hassan, 2022a ). Hence, there were brief cessation of activities by the affected quarries. These might have affected the deposition of the trace metals (Hassan, 2022b ). However, most results in wet season were lesser than dry season, because the construction and infrastructure sectors that are customers of the quarries are usually on holiday in rainy season; this bring about little demand for the quarry merchandises; hence, quarry events are lower (Hassan, 2022b ). The determination of the trace metal of subsoil in harmattan and rainy seasons were demonstrated in Table 7 . Zn level in subsoil during harmattan season varies from ILA (1.32 ± 0.19) – BAA (1.76 ± 0.19 µg/kg). Many of the locations namely; OGB (1.36 ± 0.12 µg/kg), IWA (1.5 ± 0.42 µg/kg), IDO (1.49 ± 0.31 µg/kg), ISA (1.54 ± 0.28 µg/kg), ILA (1.32 ± 0.19 µg/kg) and IGO (1.52 ± 0.29 µg/kg) were below the control (1.58 ± 0.18 µg/kg) (Ayodele et al., 2014 ). The Zn levels of subsoil in rainy season were IDO (0.04 ± 0.02–0.06 ± 0.03 µg/kg) OGB/ADE and all the levels of the Zn were greater than the control (0.01 ± 0.00 µg/kg) (Ayodele et al., 2014 ). Mg level (harmattan season) varies from IDO (0.13 ± 0.39) – ADE (0.91 ± 0.21 µg/kg) across locations; with locations like IWA (0.19 ± 0.23 µg/kg), IDO (0.13 ± 0.39 µg/kg) and ISA (0.26 ± 0.11 µg/kg) lesser than the control (0.36 ± 0.09 µg/kg) (Ayodele et al., 2014 ). Mg (rainy season), the levels vary from 0.01 ± 0.01–0.02 ± 0.01 µg/kg and all locations were greater than the control (0.003 ± 0.00 µg/kg) (Ayodele et al., 2014 ). Si (harmattan season) across locations vary from (IGO) 3.35 ± 0.49–33.64 ± 1.02 µg/kg (IDO). Some of these locations namely; ILA (3.45 ± 0.47 µg/kg), ADE (3.52 ± 0.39 µg/kg), BAA (3.68 ± 0.27 µg/kg) and IGO (3.35 ± 0.49 µg/kg) were lower than the control (20.64 ± 0.99 µg/kg) (Ayodele et al., 2014 ). The subsoil Si levels (rainy season) around the quarries vary from IWA/ISA/ADE (0.0004 ± 0.00–3.4 ± 0.02 µg/kg) IGO. However, none of these levels of Si was smaller than the control (0.0004 ± 0.00 µg/kg) (Ayodele et al., 2014 ). The Al levels (harmattan season) across locations were (OGB) 9.98 ± 0.79–14.09 ± 0.33 µg/kg (BAA); with only OGB (9.98 ± 0.79 µg/kg) that was lower than the control (10.69 ± 0.19 µg/kg) (Ayodele et al., 2014 ). The Al levels (rainy season) in all locations vary from ISA/ILA/ADE (0.0011 ± 0.00–0.0014 ± 0.00 µg/kg) IWA/ BAA / IGO and all these values were above the control site (0.0007 ± 0.00 µg/kg) (Ayodele et al., 2014 ). Moreover, K levels (harmattan season) in the subsoil around quarries vary from 0.05 ± 0.0–0.07 ± 0.0 µg/kg with their respective locations ILA/ADE/BAA/IGO and OGB/IWA/IDO/ISA. However, four among these locations were lower than the control (0.07 ± 0.00 µg/kg) and the other four locations had the same values as the control (Ayodele et al., 2014 ). Finally, the K levels (rainy season) in the subsoil across locations vary from ILA (0.003 ± 0.00–0.21 ± 0.01 µg/kg), BAA and none of these levels were lower than the control site (0.001 ± 0.00 µg/kg) (Ayodele et al., 2014 ). Furthermore, the reason why some locations low in deposition of certain trace metal in sub soil is ditto to the topsoil as what was deposited to the topsoil is likely to be percolated to the subsoil or washed away from topsoil especially during wet season; hence, able or unable to reach subsoil respectively. However, among the trace metal that showed increase in the value in subsoil especially during wet season are Al, K, Si and Mg; and they are good for the soil being trace elements needed by plants (Hassan, 2022b ). Si is also economically important as it is used in production of many components of electrical and electronic gadgets. Where the deposition of trace metals higher enough, they could reach the ground water as most of the locations where the quarries sited are villages or hamlet, and their water sources are merely ground water, which could affect them positively or negatively depending on the trace metal involves (Hassan, 2022b ). Table 8 is the t-test result of trace metal concentrations for the soil in dry and wet season in all locations. However, the result of the analysis shows that there was significant difference between the mean of the Zn in all locations (1.57 µg/kg) in the harmattan season and that of the rainy season (0.06 µg/kg); moreover, the harmattan season mean was higher than the rainy season. There was significant difference between the mean of the Mg level (0.58 µg/kg) in the harmattan season and the rainy season (0.19 µg/kg) but the means of harmattan season was greater than the rainy season. The Si mean of all locations (14888.56 µg/kg) in harmattan season was not insignificantly different from that of the rainy season (34035.22 µg/kg) but the mean of harmattan season was lesser than of the rainy season. Al mean of all locations was 12.60 µg/kg in harmattan season and was insignificantly different from the mean of all locations in rainy season (11.94 µg/kg); however, harmattan season mean was greater than the mean of the rainy season. The mean of K for all locations (0.06 µg/kg) in harmattan season was insignificantly different from that of the rainy season (0.06 µg/kg) and they were more or less the same in both seasons (Hassan, 2022c )). Figure 2 shows heat map of trace metal (mg/L) by location; there was a very strong positive correlation in the level of trace metals of control site and the following locations; OGB, IWA, IDO and ISA, while there was a weak positive correlation in the trace metals of the control site and ILA, ADE, BAA and IGO. This implies that the trace metals in ILA, ADE, BAA and IGO have been affected by quarry activities and that there were unobserved variables that affect the trace metal in ILA, ADE, BAA, and IGO. This is buttressed by the correlation table in Appendix 26, showing that the correlation between control and OGB is 0.9939, between control and IWA is 0.995, between control and IDO is 0.9929, between control and ISA is 0.9952; while between control and ILA is 0.5719 between control and ADE is 0.5991, between control and BAA is 0.5874, between control and IGO is 0.5535. Based on the result of the correlation, there is a need for a Principal Component Analysis (PCA). Hence, Table 9 shows that 99.56% of the variation in the trace metals is explained by the first principal component, while 99.91% are explained by the first two principal components. Thus, the variation in the trace metals in the locations are explained by two unobserved variables, which could be quarry activities and any other environmental factor. Figure 3 is the PCA biplot of the trace metal in the locations, and it supports the PCA results. The control, OGB, IWA, IDO, ISA are negatively related to the quarry activities, while ILA, ADE, BAA, and IGO have positive relationship with the quarry activities. This means that quarry events are responsible for the variation in the trace metals in all the locations as depicted in the scree plot in Appendix 6. Appendix 7 is the Cos2 of variables to Dimension-1-2 plot (cos2 plot) of trace metals in the locations, and it shows that the variables with a high cos2 indicates that when all the principal components’ sums of cos2 equal one, the variable is well represented on the model. The location that is most represented by the principal components is IDO, followed by OGB, IWA, ISA, IGO, ILA, BAA, ADE, and the least represented is control. Table 10 shows the determination of the heavy metal of the topsoil (harmattan and rainy season). In the harmattan season, Pb varying from 0.018 ± 0.01–0.035 ± 0.01 µg/kg across locations; IDO (lowest) and BAA (highest) respectively. On a general note, none was lesser than the control (0.012 ± 0.01 µg/kg); (Bada & Fagbayigbo, 2009 ). In the rainy season, the Pb content in various locations varies as follows, (IDO) 0.014 ± 0.00–0.026 ± 0.01 µg/kg (BAA) and all of these values were greater than the control (0.010 ± 0.00 µg/kg) (Bada & Fagbayigbo, 2009 ). In addition, all the values of Pb across locations in both seasons were greater than the Earth crust (0.014 µg/kg). As deposit (harmattan season) varies from 0.004 ± 0.00–0.012 ± 0.01 µg/kg across locations; with OGB (lowest) and BAA (highest); however, of all these values only OGB (0.004 µg/kg) was lower than the control (0.005 ± 0.00 µg/kg) (Bada & Fagbayigbo, 2009 ). With As deposit (rainy season), the values range 0.004 ± 0.00–0.007 ± 0.00 µg/kg and their respective locations were IDO and ILA/BAA Ake. However, all values of As deposit, with no exception were higher than the control (0.003 ± 0.00 µg/kg) (Bada & Fagbayigbo, 2009 ). In both season, As values (all locations) were greater than the Earth crust (0.0015 µg/kg). Furthermore, the Ni values (harmattan season) across locations range from (OGB) 0.012 ± 0.00–0.024 ± 0.00 µg/kg (ADE/BAA). However, only OGB was lesser than the control (0.017 ± 0.00 µg/kg) (Bada & Fagbayigbo, 2009 ). The values of the Ni (rainy season) vary from 0.001 ± 0.00–0.24 ± 0.13 µg/kg with ADE and IGO respectively. Moreso, all the values of Ni were greater than the control (0.001 ± 0.00 µg/kg) (Bada & Fagbayigbo, 2009 ). The values of Ni (harmattan season) across locations were lesser than the Earth crust (0.08 µg/kg), whereas in rainy season, only IWA, IDO and ADE (0.001 ± 0.00 µg/kg) were lesser than the Earth crust. The values of the Se across locations range from 0.002 ± 0.00–0.003 ± 0.00 µg/kg in these corresponding locations; OGB/ADE/BAA and IWA/ IDO/ISA/ ILA/ IGO; while control (0.004 ± 0.00 µg/kg) was greater than any of the Se values across locations ((Ayodele et al., 2014 )). In rainy season, the Se concentrations were determined in all sampled locations and the following results range were obtained; 0.000 ± 0.00–0.001 ± 0.00 µg/kg with the corresponding locations; IDO/ADE/BAA, and OGB/ IWA/ ISA/ILA/IGO. However, all values across locations were greater than the control (0.000 ± 0.00 µg/kg) (Ayodele et al., 2014 ). The values of the Cu (harmattan season) range from 2.95 ± 0.02–5.1 ± 0.05 µg/kg with their respective locations; Iwa and BAA. Moreover; the values were greater than the control (2.83 ± 0.02 µg/kg) (Bada & Fagbayigbo, 2009 ). Cu concentration (rainy season) varies in all locations from 0.031 ± 0.01–0.045 ± 0.02 µg/kg with their respective locations; IDO and BAA. However, all the values across the locations were greater than the control (0.014 ± 0.01 µg/kg) (Bada & Fagbayigbo, 2009 ). All the Cu values (harmattan season) were higher than the Earth crust (0.05 µg/kg) whereas all the values in wet season were lower. Fe deposits (harmattan season) in all locations vary from 968.91 ± 15.62–1824.75 ± 35.66 µg/kg with ILA and IDO respectively; which were lower than the control (2157.74 ± 36.01 µg/kg) (Ayodele et al., 2014 ). The Fe content (rainy season) are (IGO/IDO) 0.035 ± 0.01–0.051 ± 0.01 µg/kg (Adelokun) and all them, were greater than the control (0.012 ± 0.01 µg/kg) (Ayodele et al., 2014 ). The topsoil (Cd) in the harmattan season ranges from ISA (0.005 ± 0.00–0.009 ± 0.01 µg/kg) BAA and all the values were greater than the control (0.004 ± 0.00 µg/kg) (Ayodele et al., 2014 ). The values of the topsoil (Cd) during rainy season vary from 0.012 ± 0.00–0.016 ± 0.01 µg/kg with their respective locations; IDO and OGB; however, all values lesser than the control (0.058 ± 0.01 µg/kg) (Ayodele et al., 2014 ). However, in both season the Cd values in all locations were greater than the Earth crust (0.0001 µg/kg). Table 11 shows the heavy metal contents of sub soil in the dry and wet seasons. However, the Pb values across locations range from (OGB) 0.021 ± 0.01–1.487 ± 0.51 µg/kg (IDO) and all the values across locations were greater than the control (0.010 ± 0.00 µg/kg) (Ayodele et al., 2014 ). In the wet season, the Pb values in all locations vary from (IDO) 0.009 ± 0.00–0.019 ± 0.01 µg/kg (BAA) and all these values were greater than the control (0.007 ± 0.00 µg/kg) (Etim & Adie, 2012). All Pb values across locations in both seasons were greater than the Earth crust (0.014 µg/kg) except IDO (0.009 ± 0.0 µg/kg), ISA (0.012 ± 0.0 µg/kg) and ADE (0.013 ± 0.0 µg/kg) in rainy season. As levels (dry season) from different locations vary from 0.004 ± 0.00–0.010 ± 0.00 µg/kg with their respective locations; OGB, and ADE/BAA. In all these, only OGB (0.004 ± 0.00 µg/kg) was below the control (0.005 ± 0.00) (Bada and Fagbayigbo, 2009 ). The As contents (rainy season) of the various locations range from (IDO) 0.003 ± 0.00–0.005 ± 0.00 µg/kg (Ogbere/Iwaye/Baaki Ake/Igodo) and none of these values was found to be lesser than the control (0.002 ± 0.00 µg/kg) (Bada & Fagbayigbo, 2009 ). Every value of As (both season) in all locations was lower than the Earth crust value of 0.0015 µg/kg. The values of Ni (harmattan season) in all locations vary from 0.011 ± 0.01–0.025 ± 0.01 µg/kg with OGB and BAA respectively. However, with the exception of OGB (0.011 ± 0.01 µg/kg), no other locations was lower than the control (0.015 ± 0.00 µg/kg) (Olatunde et al., 2021 ). In addition, the Ni levels (rainy season) among the sampled locations vary from 0.000 ± 0.00–0.010 ± 0.00 µg/kg with their corresponding locations; IDO/ADE and BAA/IGO. However, none of these levels was lower than the control (0.000 ± 0.00 µg/kg) (Olatunde et al., 2021 ). All Ni values in both season were lower than the Earth crust (0.08 µg/kg). The Se (dry season) were varying from 0.002 ± 0.00–0.003 ± 0.00 µg/kg with their respective locations; OGB/IWA/ ISA /BAA and IDO/ILA/ADE/ IGO. In all of these locations, none was greater than the control (0.003 ± 0.00 µg/kg) Ayodele et al., 2014 ). The Se values (rainy season) vary from (BAA) 0.000 ± 0.00–0.001 ± 0.00 µg/kg (all other locations). All these values were more or less the same with the control (0.000 ± 0.00 µg/kg) (Ayodele et al., 2014 ). The levels of Cu content (harmattan season) range from (IWA) 2.76 ± 0.26–4.75 ± 0.45 µg/kg (BAA). None of these values was lower than the control (2.73 ± 0.23 µg/kg) (Olatunde et al., 2021 ). The Cu level (rainy season) varies from (IDO) 0.010 ± 0.01–0.034 ± 0.01 µg/kg (OGB) and all of these levels were higher than the control (0.006 ± 0.00 µg/kg) (Olatunde et al., 2021 ). The Earth crust value (0.050 µg/kg) lower than all the Cu values in all locations in harmattan season but higher than all the Cu values across locations in rainy season. Furthermore, Fe content (harmattan season) varies from (1GO) 853.30 ± 5.3–1795.75 ± 19.7 µg/kg (IDO) and none of these was higher than the control (1963.27 ± 16.2 µg/kg) (Etim & Adie, 2012). Fe content (rainy season) ranges from 0.030 ± 0.01–0.040 ± 0.01 µg/kg with the corresponding locations; IDO and BAA. However, none of these locations was found to be lower in Fe contents than the control site (0.009 ± 0.01 µg/kg) (Etim & Adie, 2012). The Cd levels (harmattan season) of the various sampled locations fell between (ISA/ILA) 0.005 ± 0.00–0.007 ± 0.00 µg/kg (ADE) and none of these values were lower than the control site (0.004 ± 0.00 µg/kg) (Etim & Adie, 2012). Finally, the Cd levels (harmattan season) vary from (IDO) 0.008 ± 0.00–0.011 ± 0.00 µg/kg (BAA/IGO) and none of the Cd levels in all locations were lesser than the control site (0.003 ± 0.00 µg/kg) (Etim & Adie, 2012). All the Cd values in all locations (both season) were greater than the Earth crust value (0.0001 µg/kg). Table 12 is the T-test data for heavy metal concentrations of soil at dry and wet season in all locations. The result of the analysis shows that there was insignificant difference between the mean of the Pb in all locations (0.11 µg/kg) in the harmattan season and that of the rainy season (0.02 µg/kg); although, the harmattan season mean was higher than the harmattan season. There was significant difference between the mean of the As level (0.01 µg/kg) in the harmattan season and the rainy season (0.01 µg/kg). Although, the mean of harmattan season and rainy season are almost the same. The Ni mean of all locations (0.01 µg/kg) in harmattan season was significantly different from that of the rainy season (0.01 µg/kg) but in actual fact they were the same in both seasons. Se mean of all locations was 0.02 µg/kg in harmattan season and was insignificantly different from the mean of all locations in rainy season (0.07 µg/kg). However, rainy season mean was greater than of the mean of the harmattan season. The mean of Cu for all locations (3.57 µg/kg) in harmattan season was insignificantly different from that of the rainy season (3.38 µg/kg). However, the harmattan season mean was greater than that of the rainy season. The analysis of Fe mean shows that in the harmattan season, it was (1460.17 µg/kg). Also, it was significantly different from that of the rainy season (1059.26 µg/kg). More so, the harmattan season mean was higher than that of the rainy season. Lastly, the mean of the Cd in all locations (0.01 µg/kg) lesser in the hamattan season than the wet season (0.01 µg/kg) although there was insignificant difference between the two. Figure 4 depicts heat map of heavy metal; that there is a very strong positive correlation in the level of heavy metals between Control and all the locations. This means that the heavy metals in all the locations have not been seriously affected by quarry activities because all the locations have very high positive correlation with the control location. However, this is explained by Appendix 27 that the correlation between the heavy metals in control and OGB is 0.9999, between control and IWA is 0.999, between control and IDO is 0.9992, between control and ISA is 0.9993, between control and ILA is 0.9999 between control and ADE is 0.9998, between control and BAA is 1, between control and IGO is 0.9999. Table 13 shows that 87.764% of the variation in the heavy metals is explained by the first principal component, while 100% are explained by the first two principal components. Thus, the variation in the heavy metals in the locations are explained by quarry activities and any other environmental factor as shown in Fig. 5 . Figure 5 is the biplot of heavy metals in the locations, and it shows that the control has the same variation with all the other locations, but its variation is the closet to that of BAA and OGB. Appendix 8 is the scree plot of heavy metal in the location, and it shows that the first principal component has explained 89.8% of the variation in the heavy metals in all the locations, while the second principal component explained 10.2% of the variation in the heavy metals in all the locations. This implies that quarry activities and any other environmental factor are responsible for the variation in heavy metals in all the locations. Appendix 9 is the Cos2 of variables to dimension-1-2 plot of heavy metals in the locations, and it shows that the first two principal components combined affect the variation in ADE most, followed by ILA, IWA, IDO, ISA, IGO, Control, BAA and the least affected is OGB. Appendix 10 is a heat map of trace metal and it shows that there is a high positive correlation between Zn and Mg, Zn and Si, Zn and Al, Mg and Al, and Si and Al. More so, there is a weak positive correlation between Mg and K. On the other hand, there is a weak negative correlation between Mg and Si, Si and K, and Al and K (Appendix 28). Appendix 11 shows that 74.3% of the variation in the trace metals have been caused by an unobserved factor (other environmental factor). K is positively affected by quarry activities, while Zn, Mg, Silicon and Al are negatively affected by it. Appendix 12 is a heat map of heavy metal and it shows that there is a high positive correlation between As and Cu, Se and Cu, Se and Fe, and between Cu and Fe. More so, there is a weak positive correlation between Pb and Se, Pb and Cu, Pb and Fe, As and Ni, As and Se, As and Fe, and between Ni and Cd. On the other hand, there is a weak negative correlation between Pb and As, Pb and Ni, Pb and Cd, As and Cd, Ni and Se, Ni and Cu, Ni and Fe, Se and Cd, Cu and Cd, and between Fe and Cd (Appendix 29). Appendix 13 shows that 78.5% of the variation in the heavy metals have been caused by an unobserved factor. Ni and Cd are positively affected by quarry activities, while As, Cu, Se, Fe and Pb are negatively affected by it. Table 14 illustrates the pollution index of trace metal in topsoil (harmattan and rainy seasons). In harmattan season, Zn ranges from OGB (0.85 - 1.17). BAA. OGB (0.85), IWA (0.95), IDO (0.97), ISA (0.98), ILA (0.89), and IGO (0.92) were polluted with Zn lowly while ADE (1.11) and BAA (1.17) were moderately. The pollution index of Mg (0.51) in IWA is the lowest, while BAA (2.37) is the highest; however, IWA (0.51), IDO (0.27), and ISA (0.76) were lowly polluted, while the rest were moderately polluted with Mg. The ILA (0.17), ADE (0.17), and BAA (0.18), and IGO (0.17) were lowly polluted with silicon, while the rest locations (1.19 – 1.61), OGB and IDO respectively were moderately polluted. With the exception of OGB (0.92) that the pollution with Al was low, the rest locations were within IWA (1.11 – 1.41) BAA and the pollution with Al were moderate. All locations, ILA (0.57 – 0.86) OGB/BAA were lowly polluted with K, while IWA, IDO, and ISA were 1.00 each (moderately polluted with K). In the wet season, Zn in all locations range from 3.00 – 6.00, OGB/IWA/BAA and ILA respectively and they were all considerably polluted with Zn. Mg in all locations, ISA/ ILA (38.00 – 45.00) IWA; hence, all were very highly polluted with Mg. OGB (0.14) lowly polluted with Si; IWA (1.43), IDO (1.29), ISA (1.29), ADE (1.14), and BAA (1.43) were moderately polluted with Si and ILA (4950.29) and IGO (4962.57) were very highly polluted with Si. Al in all locations range from IGO (3.00 – 5.25) IDO/BAA, all were considerably polluted with Al. Furthermore, the K pollution index in OGB (1.00), ISA (1.67), and BAA (1.33) were moderately polluted with K, whereas IWA (64.67), IDO (76.00), ILA (60.67), ADE (72.00), and IGO (56.33) were very highly polluted with K (Hassan, 2023b; Olatunde et al. , 2020). Table 15 demonstrates the pollution index of trace metals in sub soil (dry and wet season). In dry season, the soils in OGB (0.86), IWA (0.95), IDO (0.94), ISA (0.97), ILA (0.84) and IGO (0.96) were lowly polluted with Zn, while ADE (1.07) and BAA (1.11) were moderately polluted with Zn. The soil in IWA (0.53), IDO (0.36), ISA (0.72) were lowly polluted with Mg, while OGB (2.25), ILA (2.28), ADE (2.53), BAA (1.83), and IGO (2.39) were moderately polluted with Mg. The soils were moderately polluted with Si in OGB (1.18), IWA (1.35), IDO (1.63), and ISA (1.46) while they were lowly polluted in ILA (0.17), ADE (0.17), BAA (0.18), IGO (0.16). The pollution indices of the Al range from OGB (0.92 – 1.41) BAA; however, except Ogbere (lowly polluted), all other locations soil were moderately polluted. With the exception of OGB, IWA, IDO, and ISA (1.00 each) and the pollution of K were moderate, other locations were 0.71 each; thus the pollution of K there were low. In the wet season, the pollution indices Zn across locations range from 4.00 – 6.00; IDO and OGB/ADE respectively; hence, the pollution of Zn in the soils around these localities were considerable. The pollution index of Mg in all locations was 3.33 each (considerably polluted), with the exception of BAA and IGO that were 6.67 each (very highly polluted). The pollution index of Si ranges from IDO/ISA (1.00 – 1.50) BAA, except ILA (8,300.00), and IGO (8,500.00); therefore, the rest locations were moderately polluted while ILA and IGO were very highly polluted with Si. Al ranges from 1.57 – 2.00; ILA/ADE and IWA/BAA/ IGO respectively; hence, all locations were polluted moderately. All locations pollution indices range from ILA (3.00 – 5.00) ADE, with the exception of ISA (170.00) and BAA (210.00); hence, all locations were considerably polluted, while ISA and BAA were very highly polluted with K (Hassan, 2023b; Olatunde et al. , 2020). Table 16 illustrates the pollution index of heavy metals in topsoil (harmattan and rainy season). In the harmatan season; the soil around the quarries across locations are moderately polluted with Pb. Soils around IWA (1.00), IDO (1.20),ISA(2.00), ADE (2.20), BAA (2.24) and IGO (2.20) were moderately polluted, ILA (3.18) was considerably polluted, and OGB (0.8) was lowly polluted with As. However, the soil in OGB (0.70) was lowly polluted, IWA (1.10), IDO (1.35), ISA (1.13), ILA (2.35), ADE (1.91), BAA (2.18), and IGO (2.20) were moderately polluted with Ni. All locations were lowly polluted with Se, except ILA (1.41) and IGO (1.00) that moderately polluted. The soils in all locations were moderately polluted with Cu. The Fe in the surrounding the soils across locations were low (pollution). All the locations surrounding soils were moderately polluted with Cd. Furthermore, in the rainy season; the soil around all the locations were moderately polluted with Pb. All the soils around the locations were considerably polluted with the As, except ILA (7.00) and BAA (7.00) that were very highly polluted. IWA, IDO, and ADE were lowly polluted (0.4) with Ni, whereas OGB (11.2), ISA (9.9), ILA (10.9), BAA (13.9), and IGO (14.9) were very highly polluted with Ni. However, no deposit of Se was notice around the soils across locations. IDO (2.1), ISA (1.7), ILA (2.4), ADE (2.3), and IGO (2.3) were moderately polluted, whereas OGB (3.0), IWA (3.0), and BAA (3.2) were considerably polluted with Cu. The soil in the following location OGB (3.6), IWA (3.8), ISA (3.5), ILA (3.3), ADE (4.3) and BAA (3.6) were considerably polluted, while IDO (2.9), and IGO (2.9) were moderately polluted with Fe. All the pollution index of the Cd in all locations was 0.2 each except Ogbere (0.3), which means they were lowly polluted (Hassan, 2023b; Olatunde et al. , 2020). Table 17 illustrates pollution index of heavy metals in subsoil (harmattan and rainy season). In the harmattan season, OGB (2.10), IWA (2.60), ISA (1.70), ILA (2.50), ADE (2.90), and IGO (2.60) were moderately polluted, whereas BAA (3.10) and IDO (148.7) were considerably and very highly polluted respectively with Pb. The As in all locations range between OGB (8.00) – ADE/ BAA (2.00) this implies that all locations were very highly polluted with As. However, with the exception of OGB (0.73), and ISA (0.98) that were lowly polluted, other locations were moderately polluted with Ni. All locations (6.67 - 10.0) were very highly polluted with Se. Cu pollution indices across locations range between OGB (1.03 – 1.74) BAA; hence, the soil around the quarries were moderately polluted with Cu. The quarries in all locations pollute the soils around them with Fe lowly with the values range between ILA (0.43) – IDO (0.91). The Cd pollution index across locations range between ILA / IGO (1.25) – ADE (1.75); hence, all locations were moderately polluted with Cd. In rainy season; the Pb across locations range between IDO (1.29 - 2.71) BAA; thus, all locations were moderately polluted. As across locations were between IDO (1.50 – 2.50) OGB IWA, BAA, and IGO; thus all locations were moderately polluted. In all locations there were no iota of Ni deposition as all locations were 0.00 (pollution index). Likewise, Se deposition were 0.00 (pollution index) across locations. In Cu pollution index, except IDO (1.67), all other locations were between IWA (4.17 – 5.67) OGB; hence, IDO was moderately polluted, while all other locations were considerably polluted with Cu. All the Fe pollution indices across locations range between 3.33 – 4.44, with IDO and BAA respectively; hence, all locations were considerably polluted. With the exception of IDO (2.67), the other Cd pollution indices across locations range from 3.00 – 3.67, IWA/ISA/ILA and BAA/IGO respectively; thus, the Cd pollution at IDO was moderate, while the rest locations were considerable (Hassan, 2023b; Olatunde et al., 2020). Table 18 illustrates the ecological risk index of heavy metals in topsoil (harmattan and rainy season). In the harmattan season, Pb ranges across locations from IDO (7.50 – 14.59) ILA/BAA; this signifies that ecological risk of Pb across locations were low. The As level (8.00 – 31.00), OGB and ILA respectively; this implies that ecological risk across locations were low. The ecological risk indices of Ni range from OGB (3.53 – 11.77) ILA; thus low ecological risk across the location. Cu ranges across locations (5. 20 – 8.79) IWA and ILA respectively, hence ecological risk level is low across the board. The Cd ranges across locations from ISA (37.00 – 69.00) IGO; thus, ISA (37.00), and IDO (39.00) have low ecological risk, while the rest locations have moderate ecological risk. In the rainy season, the Pb ecological risk indices range from IDO (7.0 – 13.0) BAA; this implies the ecological risk levels in all locations were low. As ranges from IDO (40.00 – 70.00) ILA/ BAA, which means the ecological risk levels in all the locations were moderate. Ni across locations with ecological risk indices (2.0 - 69.0), IDO and BAA respectively; IWA (4.0), IDO (2.0) and ADE (4.0) were having low ecological risk levels, while the rest locations were moderate. Cu (8.5 – 16.0) had low ecological risk. Cd in all locations was 6.00 each, with the exception of OGB (9.00); this implies that all locations had low ecological risk levels (Maanan et al., 2014; Olatunde et al., 2020). Table 19 shows ecological risk index (ERI) of heavy metals in subsoil (harmattan and rainy season). In the harmattan season, Eri of Pb across locations (8.17- 15.5), ISA and BAA respectively, except IDO (743.5); this implies that all locations had low ecological risk, while IDO was very high. ERI of As across location (80.00 – 400.00), OGB and ADE/BAA respectively; this implies that OGB (80), IWA (100.0), IDO (100.0), and ISA (98.0) had considerable ecological risk, ILA (196.0) and IGO (320.0) were having high ecological risk, and ADE and BAA were 400.0 each (very high ecological risk). Ni (ERI) range from ILA (2.30 – 14.0) IDO; this implies that all locations had low ecological risk of Ni. Furthermore, Cu (ERI) were between 1.38 – 8.34, with IDO and ISA respectively; this means that all locations had low ecological risk. The Cd (ERI) ranges from ISA (15.63 – 52.50) ADE; however, ISA (15.63), ILA (18.75) and IGO (31.25) had low ecological risk; while OGB, IWA, IDO, and BAA Ake were 45.00 each and ADE (52.59) had moderate ecological risk. In the rainy season, the Pb in the soil of IDO (6.43) was the lowest, while BAA (13.57) was the highest in term of ERI; hence, all locations had low ecological risk. Regarding the As, the ERI ranges from IDODE (15.00 - 25.00) OGB/IWA/BAA/IGO; this implies that all the locations had low ecological risk. However, Ni (ERI) in all locations (0.00); hence, Ni has no ecological risk at all across locations. The Cu in the soil of the IDO (8.33) is the lowest, while OGB (28.33) is the highest in term of ERI; thus, all locations had low ecological risk. Finally, the Cd (ERI) ranges IDO (80.00 – 110) BAA/ IGO; however, all without exception had considerable ecological risks (Maanan et al., 2014; 2020 Hassan, 2023 b; Olatunde et al.). Table 20 demonstrates Igeo of trace metals in topsoil (harmattan and rainy season). In the harmattan season, Zn (I geo) in all locations (-0.35 – (-0.82), with BAA and OGB respectively; this implies that all locations were unpolluted. The Mg (Igeo) in all locations (-2.48 - 0.66), with IDO and BAA respectively. However, IDO (-2.48), IWA (-1.55), and ISA (-0.99) signify that the soil in these locations were unpolluted with Mg, while the rest location soils were unpolluted - moderately polluted. The Igeo of Si in all the locations range from ILA (-3.17 - 0.10) IDO; which means all locations were unpolluted, with the exception of IDO (0.10) that was unpolluted - moderately polluted. The Igeo of Al in all the locations range from OGB (-0.71 – (-0.09) BAA; this implies that all locations were unpolluted with Al. The Igeo of K ranges (– 0.81 - (-0.58), with OGB/BAA and IWA/IDO respectively; however, all the locations can be interpreted as unpolluted. In the rainy season, the Igeo of Zn across locations (1.00 – 2.00), with OGB/IWA/ BAA and ILA respectively; hence, all the locations could be interpreted as moderately polluted. All the Igeo of Mg across the locations range from IGO (4.37 – 4.91) IWA; which can be interpreted as strongly - very strongly polluted with Mg in all the locations. The Si (Igeo) in all locations (-3.39 – 11.69), with OGB and IGO respectively; thus all locations were unpolluted with Si, except ILA (11.68), and IGO (11.69) that were very strongly polluted with Si. However, the Al (Igeo) across locations (1.00 – 1.81), with IGO and IDO/BAA respectively; this implies that all the locations were moderately polluted with Al. In addition, K (Igeo) across locations range from OGB (-0.58 – 5.66) IDO; this implies that OGB (-0.58) and BAA (-0.17) were unpolluted, ISA (0.15) was unpolluted - moderately polluted, while IWA (5.43), IDO (5.66), ILA (5.34), ADE (5.58), and IGO (5.23) were very strongly polluted (Hassan, 2023 b; Nouri & Haddioui, 2016). Table 21 shows the geo – accumulation index of trace metals in subsoil (harmattan and rainy season). In the harmattan season, the Zn (Igeo) across the locations from ILA - BAA (-0.84 – (-0.43) respectively; hence, all the locations were unpolluted with Zn. The Igeo of Mg across locations range from IDO (-2.05 – (0.75) ADE; this implies that IWA (-1.51), IDO (-2.05), ISA (-1.05) were unpolluted, and the rest locations were unpolluted - moderately polluted of Mg. The Igeo of Si in all locations range from IGO - IDO (-3.21- 0.12) respectively. Except IDO (0.12) that was unpolluted - moderately polluted, all other locations were unpolluted with Si. Al (Igeo) ranges from OGB (-0.68 – (-0.19) BAA; thus all the locations were unpolluted with Al. The K (Igeo) of OGB, IWA, IDO and ISA were -0.58 each, while ILA, ADE, BAA and IGO were -1.07 each; hence, none of these locations was polluted with K. In the rainy season Zn ranges from IDO (1.42) – OGB/ADE (2.00); this implies that all locations were moderately polluted with Zn. Igeo of Mg in all locations were 1.15 each, except BAA and IGO that were 2.15 each; this signifies that all locations were moderately polluted, whereas BAA and IGO were moderately - strongly polluted with Mg. The Si Igeo ranges from IDO/ISA (-0.58 - 12.47) IGO; this means that OGB (-0.26), IWA (-0.26), IDO (-0.58), ISA (-0.58) ADE (-0.58) and BAA (-0.00) were unpolluted but ILA (12.43) and IGO (12.47) were very strongly polluted with Si. Furthermore, the Igeo of Al across locations were 0.07 - 0.42, with ISA/ILA/ADE, and IWA/BAA/IGO respectively; this implies that all locations were unpolluted with Al. The Igeo of K ranges from OGB/ IWA/IDO (1.42 - 7.13) BAA; this means that OGB, IWA, IDO, ILA, ADE and IGO were moderately polluted, whereas BAA Ake (7.13) and ISA (6.82) very strongly polluted with K (Hassan, 2023 b; Nouri & Haddioui, 2016). Table 22 illustrates the Igeo of heavy metal in top soil (harmattan and rainy season). In the harmattan season, the Pb (Igeo) across locations were 0.00 - 0.96, with IDO and BAA respectively, this means that all locations were unpolluted - moderately polluted with Pb. Igeo of As across locations were -0.91 - 0.68, with OGB and BAA respectively; this means that OGB (-0.91), IWA (-0.58), and IDO (-0.32) were unpolluted, while the rest locations were unpolluted - moderately polluted. The Ni (Igeo) across locations were -1.09 - (-0.09), with OGB and ADE/BAA respectively; this means that all locations were unpolluted with Ni. However, the Igeo of Se across locations were -1.58 – (-1.00), with OGB/ADE/IWA/BAA and IWA/IDO/ISA/ILA/IGO respectively; hence, all locations were unpolluted with the Se. The Cu (Igeo) across locations vary from -0.53 - 0.26, with IWA and BAA respectively; this can be interpreted as unpolluted - moderately polluted for ADE (0.16) and BAA (0.26), while the rest locations were unpolluted with Cu. The Fe Igeo across location were -1.74 – (-0.83), which implies that all locations were unpolluted with Fe. The Igeo of Cd across locations vary from ISA (-0.26) – BAA (0.58); this implies that ISA (-0.26) was unpolluted, while the rest locations were unpolluted - moderately polluted with Cd. In the rainy season, the Pb (Igeo) in all locations were vary from IDO (-0.10) – BAA (0.79), this implies that IDO (-0.10), and ADE (-0.00) were unpolluted, while the rest locations were unpolluted - moderately polluted with Pb. The Igeo of As across locations were IDO (-0.17) – ILA/BAA (0.64); which implies that IDO was unpolluted and the rest locations were unpolluted - moderately polluted with As. The Ni (Igeo) in all locations vary from IWA/IDO/ADE (-0.58) – IGO (7.33), which means IWA, IDO, and ADE were unpolluted, while OGB (7.22), ISA (7.14), ILA (7.19), BAA (7.31) and IGO (7.33) were very strongly polluted with Ni. Se (Igeo) in all locations were 0.00; this implies that all locations were unpolluted with Se. The Cu (Igeo) across locations vary from IDO (0.56) – BAA (1.10), this can be interpreted as IDO (0.56), ISA (0.65), ILA (0.82), ADE (0.61), and IGO (0.61) were unpolluted - moderately polluted, while OGB(1.00), IWA (1.00), and BAA (1.10) were moderately polluted with Cu. Fe (Igeo) across locations vary from IDO/IGO (0.96) – ADE (1.50) , these can be interpreted as unpolluted - moderately polluted for IDO (0.96), and IGO (0.96) , while the remaining six locations were moderately polluted with Fe. The Igeo of Cd across locations vary from IDO/ISA (-2.86) – OGB (-2.44); hence, all locations were unpolluted with Cd (Hassan, 2023 b; Nouri & Haddioui, 2016). Table 23 illustrates the Igeo of heavy metal in subsoil (harmattan and rainy Season). In the harmattan season, the Pb (Igeo) in all locations vary from ISA (0.18) – IDO (6.63), this implies that ISA (0.18), OGB (0.49), IWA (0.79), ILA (0.74), ADE (0.95), and IGO (0.79) were unpolluted - moderately polluted, BAA (1.05) was moderately polluted, while IDO (6.63) was very strongly polluted with Pb. The Igeo of As in all locations vary from OGB (-0.91) – ADE/BAA (0.42), this implies that OGB (-0.91), IWA (-0.58), IDO (-0.58), ISA (-0.10), ILA (-0.10) were unpolluted, while ADE (0.42), BAA (0.42) and IGO (0.09) were unpolluted - moderately polluted with As. The Ni (Igeo) across locations vary from OGB (-1.03) – BAA (0.15); this implies that OGB (-1.03), IWA (-0.32), IDO (-0.10), and ISA (-0.58) were unpolluted, while ILA (0.03), ADE (0.09), BAA (0.15) and IGO (0.10) were unpolluted - moderately polluted with Ni. Igeo of Se across the locations were -1.17 – (-0.58), with OGB/IWA/ISA/BAA and IDO/ILA/ADE/IGO respectively; this implies that all the locations were unpolluted with Se. Igeo of Cu across locations were -0.57 - 0.21, with IWA and BAA respectively; this implies that OGB (-0.54), IWA (-0.57), IDO (-0.36), ISA (-0.26), ILA (-0.26) and IGO (-0.21) were unpolluted, while ADE (0.01), BAA (0.21) were unpolluted - moderately polluted with Cu. The Igeo of Fe across locations vary from ILA (-1.79) - IDO (-0.71); hence, all the locations were unpolluted with Fe. The Cd (Igeo) across the locations vary from ISA/ILA (-0.26) – ADE (0.22); this signifies that ISA and ILA were unpolluted while the rest location were unpolluted - moderately polluted with Cd. However, in the rainy season, the Pb (Igeo) in all locations vary from IDO (-0.22) – BAA (0.86), this implies that IDO was unpolluted, while the remaining locations were unpolluted - moderately polluted with Pb. Igeo of As in IDO (0.00) was the lowest, while OGB /IWA/ BAA (0.74) was the highest; thus all the locations were unpolluted - moderately polluted with As. The Ni (Igeo) across locations was 0.00 each; hence, they were unpolluted with Ni. Likewise, Igeo of Se across locations was 0.00 each; thus all locations were unpolluted with Se. The Cu (Igeo) in all locations were IDO (0.15) – OGB (1.92); thus with the exception of IDO that was unpolluted - moderately polluted, the remaining locations were moderately polluted with Cu. The Igeo of Fe across locations vary from IDO (1.15) – BAA (1.57); thus all locations were moderately polluted with Fe. IDO (0.83) had the lowest Igeo of Cd, while BAA/IGO (1.29) had the highest; however, except IDO that was unpolluted - moderately polluted, the remaining locations were moderately polluted with Cd (Nouri & Haddioui, 2016). Table 24 demonstrates the EFI of heavy metals in topsoil (harmattan and rainy Season). In the harmattan season, the Pb (EFI) across locations vary from IDO (1.77) – ILA (4.83); which means that IDO (1.77) and ISA (1.97) were deficient - minimal, while the rest locations were moderate enriched with Pb. As (EFI) in all locations were vary from IWA (1.31) – ILA/IGO (4.01); thus IWA (1.31), OGB (1.37), IDO (1.42), and ISA (1.99) were deficient – minimal, while ILA (4.01), ADE (3.43), BAA (3.64), and IGO (4.01) were moderate enriched with As. Ni (EFI) across locations (1.20 - 2.75), OGB and ILA respectively, this can be interpreted as OGB (1.20), IWA (1.69), IDO (1.60), and ISA (1.32) were deficient – minimal, while IIA (2.75), ADE (2.20), BAA (2.14), and IGO (2.47) were moderate enriched with Ni. The EFI of Se in all locations range from BAA (0.76) – ILA (1.67), this connotes that all locations were deficient – minimal enriched with Se. The EFI of Cu in all locations range from IWA (1.36) – ILA (3.23); this connotes that OGB (1.90), IWA (1.36), IDO (1.38), ISA (1.51) were deficient – minimal, while the remaining four locations were moderate enriched with Cu. The Cd (EFI) in all locations vary from ISA (1.56) - OGB/BAA (3.41); this means that ISA (1.56), IDO (1.77), IWA (1.96) were deficient – minimal, while the remaining five locations were moderate enriched with Cd. In the rainy season, the Pb (EFI) in all locations were ADE (0.35) – BAA (0.74), hence, all locations were deficient – minimal enriched with Pb. The As (EFI) across locations vary from IDO (0.46) – ILA (0.70); thus, all locations were deficient – minimal enriched with As. The Ni (EFI) across locations range ADE (0.24) – IGO (82.97); this means that ADE (0.24), IWA (0.27), and IDO (0.34) were deficient – minimal, while remaining five locations were extremely high enriched with Ni. The Se (EFI) were 0.00 across the board; hence, all locations were deficient - minimal enriched with Se. The Cu (EFI) across the locations were 0.54 - 0.92, with ADE and BAA respectively; this signifies that all locations were deficient – minimal enriched with Cu. However, the Cd (EFI) across locations were 0.05 – 0.08, with ADE and OGB/IGO respectively; hence, all the locations were deficient – minimal enriched with Cd (Kolawole et al. , 2018; Toth et al., 2016). Table 25 illustrates the EFI of heavy metals in subsoil (harmattan and rainy season). In the harmattan season, the Pb (EFI) in all locations vary from ISA (1.97) – IDO (162.57), this means that ISA (1.97) was deficient – minimal; IWA (3.14), OGB (3.51), ADE (4.68), BAA (4.62) and IGO (4.84) were moderate; ILA (5.75) was significant, while IDO (162.57) was extremely high enriched with Pb. The EFI of As across locations were 1.09 - 3.23, with IDO and ADE respectively; this means that OGB (1.34), IWA (1.21), IDO (1.09), and ISA (1.62) were deficient – minimal; while ILA (3.22), ADE (3.23), BAA (2.98), and IGO (2.98) were moderate enriched with As. The Ni (EFI) across the locations vary from ISA (1.16) - ILA (3.53); thus, ISA (1.16), OGB (1.22), IWA (1.45), and IDO (1.53) were deficient – minimal; while ILA (3.53), ADE (2.58), BAA (2.48), and IGO (2.98) were moderate enriched with Ni. The Se (EFI) across the locations range from ISA (0.77) – ILA (2.30), this signifies that all locations were deficient – minimal; except ILA (2.30) that was moderate enriched with Se. The EFI of the Cu vary from IWA (1.22) – ILA (2.89); thus, IWA (1.22), OGB (1.72), IDO (1.28), and ISA (1.45) were deficient – minimal; while ILA (2.89), ADE (2.44), BAA (2.59) and IGO (2.41) were moderate enriched with Cu. In addition, the Cd (EFI) across locations were 1.45 - 2.88, with ISA and ILA respectively; hence, the IWA (1.81), IDO (1.64), and ISA (1.45) were deficient – minimal; while OGB (2.50), ILA (2.88), ADE (2.83), and BAA (2.23),and IGO (2.33) were moderate enriched with Cd. In the rainy season, the Pb (EFI) across locations range IDO (0.39) – BAA (0.61); hence, all locations were deficient – minimal enriched with Pb. EFI of the As across locations vary from IDO (0.45) – IWA/IGO (0.70); hence, all the locations were deficient – minimal enriched with As. EFI of Ni were 0.00 across the board; these mean that all locations were deficient – minimal enriched with Ni. Likewise, EFI of Se were 0.00 across the board; thus, all locations were deficient – minimal enriched with Se. Furthermore, the EFI of the Cu vary from IDO (0.50 - 1.55) IGO; these can be interpreted as all locations were deficient – minimal enriched with Cu. The EFI of Cd across locations vary from IDO (0.80 - 1.03) IGO; which imply that all locations were deficient – minimal enriched with Cd (Kolawole et al., 2018; Toth et al., 2016) CONCLUSION Though there were increase in heavy metal depositions in some locations, because of the quarry events but they were never outrageous because they were within the Earth crust value but higher than the control site. However those that were above the Earth crust values were topsoil Pb, As, Ni, Se, Cu, Fe, and Cd in all location (harmattan and rainy season); except in the dry season, that As and Ni (OGB), Se and Fe (all locations) and Cu (rainy season) in all locations. Furthermore, there was significant difference in the mean of the Zn, Mg, Si, in all locations between the harmattan and rainy. But, there was no significant difference in the mean of Al, K in all location between the harmattan season and rainy season. The correlation between control site and OGB, IWA, IDO, and ISA are very strong and positive. On the other hand, the correlation between control site and ILA, ADE, BAA, and IGO are positive but very weak. There is a very strong positive correlation in the level of heavy metals between control and all the locations. There was no significant difference between the means of the Pb, Se, Cu, and Cd in all locations in the dry season and the rainy season. There was significant difference between the mean of the As, Ni, Fe (all location) in the harmattan season and rainy season The pollution levels such as low and moderate are assumed to be insignificant; hence, they could be under control or may not pose serious impact on the soil. However, in the harmattan season (topsoil), all locations either polluted lowly or moderate with one stipulated trace metals or another, whereas, in the rainy season, all locations were polluted with Zn (considerably), Mg (very highly), Al (considerably) and IGO was very highly polluted with Si and K. In the harmattan and rainy season, the subsoils (all locations) were either polluted lowly or moderately with certain one trace metals or others with the exception of the following in the rainy season; all locations were polluted with Zn (considerably), and Mg (considerably) with the exception of BAA and IGO that were very highly polluted Mg, ILA and IGO were very highly polluted with Si, K (ILA, OGB, IWA, IDO, ADE and IGO) were considerably polluted, while ISA and BAA were very highly polluted with K. Topsoil (harmattan season); ILA was considerably polluted with As, while in the wet season; all locations were considerably polluted with the As, except ILA and BAA that were very highly polluted, OGB, ISA , ILA, BAA, and IGO were very highly polluted with Ni, OGB, IWA, and BAA were considerably polluted with Cu. OGB, IWA, ISA, ILA, ADE and BAA were considerably polluted with Fe. No deposit of Se was noticed around the soils across all locations. In the subsoil (harmattan season); BAA considerably and IDO very highly polluted with Pb, All locations were very highly polluted with As and Se, and all locations were considerably polluted with Cd. All analysed heavy metal in all locations were either had low or moderate ecological risk in topsoil (harmattan and rainy seasons). Whereas all analysed heavy metal in all locations were either had low or moderate ecological risk in subsoil (harmattan and rainy seasons) with the exception of dry season; Pb in IDO (very high), OGB, IWA, IDO, and ISA had considerable, ILA, and IGO had (high ecological risk), and ADE and BAA had (very high ecological risk) of As. All locations without exception had considerable ecological risks of Cd (rainy season) The Igeo of trace metal in topsoil (harmattan and rainy seasons) were either unpolluted or moderately polluted with one stipulated trace metal or the others in all locations; except that in harmattan season, all locations were strongly - very strongly polluted with Mg, ILA, and IGO were very strongly polluted with Si, and IWA, IDO, ILA, ADE, and IGO were very strongly polluted with K. In addition, geo – accumulation index of trace metal in subsoil (harmattan and rainy seasons) were either unpolluted or moderately polluted with one stipulated trace metal or the others in all locations, except in the wet season, that BAA and IGO were moderately - strongly polluted with Mg, ILA, and IGO were very strongly polluted with Si, and BAA and ISA were very strongly polluted with K. Furthermore, geo – accumulation index of heavy metal in top soil (harmattan and rainy seasons) were either unpolluted or moderately with one stipulated heavy metal or the others in all locations, with the exception of harmattan season that OGB, ISA , ILA, BAA, and IGO were very strongly polluted with Ni. The Igeo of heavy metal in subsoil (harmattan and rainy seasons) were either unpolluted or moderately with one specific heavy metal or the others in all locations with the exception of IDO in the harmattan season, that was very strongly polluted with Pb. The EFI of heavy metals in topsoil (harmattan and rainy seasons) shows that the soil in all locations were either deficient, minimal or moderately enriched with one specific heavy metal or the others, except in wet season that OGB, ISA, ILA, BAA, and IGO were extremely high enriched with Ni. The Enrichment Factor Index (EFI) of heavy metals in subsoil (harmattan and rainy seasons) shows that the soil in all locations were either deficient, minimal or moderately enriched with one stipulated heavy metal or the others, except ILA that was significant, while IDO was extremely high enriched with Pb in the harmattan season. Hence, there is need for proactive action to be taken on the Pb not to spread to other locations and also other heavy metals that were within the Earth crust limit could be curtailed so as not to go out of the control. However, the trace metals in ILA, ADE, BAA and IGO are suspected to have been affected by quarry activities. Thus, the variation in the trace metals in the locations are explained by only one unobserved variable, which could be traced to quarry events in the area. In addition, the surrounding soils of the quarries had been polluted with different metals at various levels. It is therefore recommended that regulatory actions should be taken by the necessary governmental regulatory bodies in the affected localities to mitigate against soil pollution. Moreover, there should be re – assessment and revalidation of the Environmental Impact Assessment (EIA) studies carried out at the inception of the operations by the quarries operators so as to ascertain where the problem comes from because no mitigation was observed to have been putting in place to cushion the effect of their activities in most quarry sites visited. Declarations Funding: No funding was received for conducting this study. Competing interests: The author certifies that he has no affiliations with or involvement in any organization or entity with any financial interest or non-financial interest in the subject matter or materials discussed in this manuscript. Ethics approval: Not applicable . Data availability: All data generated or analysed during this study are included in this published article [and its supplementary information files]. Author Contribution The corresponding author is the only author. He is responsible for the conceptualization of the investigation, all the fieldwork, laboratory analyses, and the writing of the manuscript. References Adeyanju, E., & Okeke, C. (2019). Exposure effect to cement dust pollution: a mini review. SN Applied Science, 1 (1), 1572 Alloway, B.J. (1995). Heavy metals in soils (2nd edition). Blackie Academic and Professional, London Ayodele O.J., Shittu, O.S., & Balogun, T. (2014). Heavy metal pollution assessment of granite quarrying operations at Ikole-Ekiti, Nigeria. International Journal of Environmental Monitoring and Analytical, 2(6), 333-339. http:// doi. Org/10.11648/j.ijema.20140206.16. 26 – 35 Bada, B.S., & Fagbayigbo, B.O. (2009). Heavy metal levels of soil and vegetation in vicinity of a quarry site . InA. S. Fasina, O. J. Ayodele, A. E. Salami and S.O. Ojeniyi (Eds), Proceedings 33rd Annual Conference of Soil Science Society of Nigeria at University of Ado-Ekiti, Nigeria (pp. 280-284) Interlink. Baltas, H., Sirin, M., Gökbayrak, E., Ozcelik, & A.E. (2020). A case study on pollution and a human health risk assessment of heavy metals in agricultural soils around Sinop province, Turkey. Chemosphere, 241, 125015. Gowd, S.S., Reddy, M. R., & Govil, P.K. (2010). Assessment of heavy metal contamination in soils at Jajmau (Kanpur) and Unnao industrial areas of the Ganga Plain, Uttar Pradesh, India. Journal of Hazardous Matter, 174(1–3), 113–121. https:// doi. org/ 10. 1016/j. jhazm at. 2009. 09. Hassan, I.A. (2022a). Impact of quarrying activities on the surrounding vegetation in Ogun State, Nigeria. Journal of Forest and Environmental Science , 38(4), 263-274. https://doi.org/10.7747/JFES.2022.38.4.263 Hassan, I.A. (2022b). Metals distribution in the water bodies around quarry sites in Ogun State, Nigeria. Ethiopia Journal of Environmental Studies and Management , 15 (4), 511-531. https:// doi .org/ejesm.v15i4.9 Hassan, I.A. (2022c). Physicochemical characteristics of the soil around the quarry sites in Ogun State, Nigeria. Ife Journal of Science, 24 (2), 400. https://dx.doi.org/10.4314/ijs.v24i2.18 Hassan, I.A. (2023a). Impact of quarry activities on the air quality around neighbouring localities in Ogun State, Nigeria. International Journal of Natural Science and Research, 11(1), 34-43.http:// doi.org/ 10.18488/63.v11i1.3392 Hassan, I.A., Abdul Raheem, W.O., Obalola, A.A., & Bello, I.O. (2023b). Ecological risk assessment of the soil around Odo Iya-Alaro (Iya Alaro) River) at Ojota, Lagos States, Nigeria, Pollution, 9 (3), 918-928. https://doi.org/10.22059/poll.2023.346877.1710 Huu, H.H., Rudy, S., & Van Damme, A. (2010). Distribution and contamination status of heavy metals in estuarine sediments near Cau Ong harbor, Ha Long Bay, Vietnam, Geology . Belgica , 13, 37–47. Islam, T.A.R.M., Shen, S., Bodrud-Doza, M., Atiqur-Rahman, M., & Das, S. (2017). Assessment of trace elements of groundwater and their spatial distribution in Rangpur district Bangladesh. Arabian Journal of Geoscience, 10(4), 1–14. https:// doi. org/ 10. 1007/ s12517- 017- 2886-3. Kolawole, T.O., Olatunji, A.S., Jimoh, M. T., & Fajemila, O.T. (2018). Heavy metal contamination and ecological risk assessment in soils and sediments of an industrial area in Southwestern Nigeria. Journal of Health and Pollution, 8 (19), 1 – 16. Maanan, M., Saddik, M., Maanan, M., Chaibi, M., Assobhei, O., & Zourarah, B. (2014). Environmental and ecological risk assessment of heavy metals in sediments of Nador lagoon, Morocco. Ecological Indicator , 48, 616–626. Melodi, M.M. (2017). Assessment of environmental impacts of quarry operation in Ogun State, Nigeria. FUOYE Journal of Engineering and Technology , 2(2), 2579-0625 National Population Commission (NPC) (2006). Federal Republic of Nigeria, Legal Notice on Publication of 2006 Census Final Results . Retrieved 6 November, 2023 from http//www.npc.gov.ng. Nouri, M., & Haddioui, A. (2016). Assessment of metal contamination and ecological risk in AIT Ammar abandoned Iron mine soil, Morocco, Ekológia, 35 (1), 32–49. Olatunde, K.A., Sosanya, P.A., Bada, B.S., Ojekunle, Z.O., & Abdussalaam, S.A. (2020). Distribution and ecological risk assessment of heavy metals in soils around a major cement factory, Ibese, Nigeria. Scientific African , Elsevier, 9, e00495. http://doi.org/10.1016/j.sciaf.2020.e00496 Olatunde, K.A., Towolawi, T., Kolawole, I., Aiyelabola, N., Michael, O., Warrie, E., Oludiran, O., & Awomade, I. (2021). Soil quality and metal distribution around stone quarries within Abeokuta, Southwest Nigeria. Ife Journal of Science, 23(2), 58. https://dx.doi.org/10.4314/ijs.v23i2.6 Etim, E. U., & Adie, G. U. (2012). Assessment of toxic heavy metal loading in topsoil samples within the vicinity of a limestone quarry in Southwestern Nigeria. African Journal of Environmental. Science and Technology, 6(8), 322-330. http://doi: 10.5897/ajest12.041 Oyawoye, M.O. 1970. The basement complex of Nigeria : African geology ( 1970 ed). Geology Department University of Ibadan, Nigeria (67-99) Dessauvagie and a Whiteman. Oyinloye, M.A., & Ajayi, E. A. (2015). Environmental impact assessment of quarry activities in Oba-Ile, Ondo state, Nigeria. The Journal of Macro Trends in Energy and Sustainable, 3 (1), 32 – 45. Rai, P.K., Lee, S.S., Zhang, M., Tsang, Y.F., & Kim, K.H. (2019). Heavy metals in food crops: health risks, fate, mechanisms, and management. Environmental International, 125, 365–385. https:// doi. org/ 10. 1016/j. envint. 2019. 01. 067 Rani, J., Agarwal, T., & Chaudhary, S. (2019). Heavy metals in agricultural soils of national capital region, Delhi: levels and ecological risk. Current World Environment, 16(3), 804–817. Rahaman, M.A. (1988). Recent advances in the study of the basement complex of Nigeria . First symposium on the Precambrian Geology of Nigeria. Summary,34 -38. Sutherland, R.A., Tolosa, C.A., Tack, F.M., & Verloo, M.G. (2000). Characterization of selected element concentration and enrichment ratios in the background and anthropogenically impacted roadside areas. Archive of Environmental Contamination and Toxicology, 38, 428–438. Toth, G., Hermann, T., DaSilva, M.R., & Montanarella, L. (2016). Heavy metals in agricultural soils of the European Union with implications for food safety. Environment International , 88, 299 – 309. Additional Declarations No competing interests reported. Supplementary Files APPENDICES.docx Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4269665","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":312353651,"identity":"ac12320b-e7dc-4c92-9ee7-b97e25c7fcc1","order_by":0,"name":"Isiaka Adio HASSAN","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABE0lEQVRIie3QMWuDQBTA8SeBuJzc+sQ2/QqXJSGkkK+iUxbp6CgW4brY3W79GB0VhyxWV0OWFIcuLcQtDoGcJRQKV3Es9P7LeXA/73EAKtUfjF1WAnoYfH8DjIcQkn4RHEzEWWcgmeub+tC+wBV9ertvWu77VH9N4OBlMKfPUrKI3Jn5mAPBnRNaBs/QjO5sLS4yWMR7+WCJOwaDi2F2TmBpPEFWETYSFliVyEn5XjcnQW62adiKwXDVkVMfqWxmdbewSuNo8BEyFETrSBn8Qj5m1jVHMs0dviRFZsa5y9KoWIufyF+Mleu6+eS3q8kmy7ZHz6f0IZ/uj95ywkr5YJfw57Y7SwDtPiKN9t6iUqlU/6cz/n5fS+CNy9wAAAAASUVORK5CYII=","orcid":"","institution":"Lagos State University of Science and Technology","correspondingAuthor":true,"prefix":"","firstName":"Isiaka","middleName":"Adio","lastName":"HASSAN","suffix":""}],"badges":[],"createdAt":"2024-04-15 12:17:44","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4269665/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4269665/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":58360026,"identity":"8508a554-daea-4a77-8ecf-10d461de35b9","added_by":"auto","created_at":"2024-06-14 10:59:39","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":306463,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eLocations of Study Quarry Sites in Ogun State\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-4269665/v1/98525ff76d0fc19da94cb27a.png"},{"id":58360708,"identity":"8d8f24fc-1753-4a71-9849-310d1096b9e1","added_by":"auto","created_at":"2024-06-14 11:15:39","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":137150,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eHeat Map of Trace metal (mg/L) by Location\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-4269665/v1/e81486807511b6964d7a88f5.png"},{"id":58360423,"identity":"128c2f4e-7d28-47fa-a711-6583c06c73fb","added_by":"auto","created_at":"2024-06-14 11:07:39","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":104883,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eBiplot PCA Variables Plot for Trace metal (mg/L) by Location\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-4269665/v1/40c1e4d873ef188eead4e988.png"},{"id":58360027,"identity":"36a90322-0043-4c78-8481-5c568000d9c3","added_by":"auto","created_at":"2024-06-14 10:59:39","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":42194,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eHeat Map of Heavy metal (mg/L)\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-4269665/v1/bd86cc08d8369e19003c5e6a.png"},{"id":58360029,"identity":"39a5baad-6c91-4759-8658-d5058a884cdf","added_by":"auto","created_at":"2024-06-14 10:59:39","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":59108,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eBiplot PCA by Location for Heavy Metals\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-4269665/v1/f80d01a2a781b0fb6bb2cb1c.png"},{"id":60916082,"identity":"575970ba-12c0-4224-a23a-b7ddd2defdbc","added_by":"auto","created_at":"2024-07-23 13:44:27","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2795116,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4269665/v1/aec87efc-8c37-4ef0-8f78-a81069ae0765.pdf"},{"id":58360031,"identity":"5bce73d2-0c8f-4324-8675-f21449a6eeab","added_by":"auto","created_at":"2024-06-14 10:59:39","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":485654,"visible":true,"origin":"","legend":"","description":"","filename":"APPENDICES.docx","url":"https://assets-eu.researchsquare.com/files/rs-4269665/v1/c383b7f2687721b7b38de103.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"\u003cp\u003ePollution Risk Assessment of the Soil Near the Quarries in Ogun State, Nigeria\u003c/p\u003e","fulltext":[{"header":"INTRODUCTION","content":"\u003cp\u003eQuarrying is a small scale industry through which construction material are extracted such as granite sand dust and siltstone etc (Hassan, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2022a\u003c/span\u003e). However, despite quarry activities economic importance; it has its peculiar challenges to the environment by destroying landscape through the dust generated that eventually settling on leaves resulting into deficiency in photosynthesis, hence leading to stunted growth of plants (Adeyanju \u0026amp; Okeke, \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Hassan, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2022a\u003c/span\u003e; Olatunde et al., \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Moreover, it causes some ailments to human being such as silicosis, catarrh respiratory diseases (Melodi, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2017\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe topographies of most quarry sites are spurs, saddles, valleys, and river channels etc. The types of rock found around quarries are Quartzite, Magmatite gneiss, Chanockite, and Biotite gneiss. However, the rocks had been disturbed by tectonic activities and formed various fracture, crack, joint etc. (Oyawoye, \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e1970\u003c/span\u003e; Rahaman, \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e1988\u003c/span\u003e). The negative environmental effects of the abandoned and active quarry operation sites were the source of soil pollution sinkhole formation, and erosion in the vicinity of the quarries (Oyinloye \u0026amp; Ajayi, \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2015\u003c/span\u003e). Besides, the addition of heavy metals into soil was as a result of the mineral and rock extraction activities (Gowd et al., \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2010\u003c/span\u003e). Bada \u0026amp; Fagbayigbo (\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2009\u003c/span\u003e) reported that there were heavy metal contaminations on the soil at different depth around the quarry site and were decreasing as the distances were far away from the site (Kajola, Obafemi/Owode LGA). Ayodele et al. (\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2014\u003c/span\u003e) reported that there were heavy metals deposition at certain distances of different layers of the soil at Ikole - Ekiti.\u003c/p\u003e \u003cp\u003eThe quality of the soil in the vicinity of some quarries at Abeokuta were investigated by Olatunde et al. (\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2021\u003c/span\u003e); they discovered that iron and zinc were dominant among the heavy metals sampled in the study arena. However, most of these metals in the soil were not found as a free metal rather in their combination form forming products that might be positive or negative to the plants, which eventually affect man as consumers of such plants and could be varying from one location to the other (Morkunas et al., 2018). In addition, the contamination always come from the use of chemicals and nonchalant to the environment during quarrying by the operators (Etim \u0026amp; Adie, 2012; Oyinloye \u0026amp; Ajayi, \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2015\u003c/span\u003e; Rani et al., \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2019\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eAll over the world, the fear of heavy metal risk has warranted the various studies on them as humans and ecological health are affected by the heavy metal (Ayodele et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2014\u003c/span\u003e; Islam et al., \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2017\u003c/span\u003e; Maanan et al., \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). Heavy metal pollution such as Hg, As, Pb and Cd could cause the following diseases among the others namely, gastro -intestinal disorder, vomiting, skin irritation, mucous membranes,, cancer of various part of the body, anaemia, cardiovascular disorders, and many respiratory diseases (Rai et al., \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Hassan, 2023b). However, some heavy metal like Fe, Zn, Cr, and Cu in small quantity are useful to the body (Hassan, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2022b\u003c/span\u003e; Hassan, 2023b). Apart from the heavy metal pollution, there are also trace metal pollution whenever, there is human activities, and they are very useful to the body in a very reasonable quantity (Hassan, 2023b). Though too much of these trace metals in combination with many radical e.g. sulphate, nitrate and carbonate could harm the human body (Toth et al., \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2016\u003c/span\u003e; Hassan, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2023a\u003c/span\u003e). Furthermore, the increase in number of quarries in Ogun State resulted in the agitation and condemnation from various pressure groups because of the pollution emanating from quarries activities. However, it is not possible to determine level of the pollution, without comprehensive assessment analysis. Thus, investigation on pollution risk assessment of the soil near the quarries in Ogun State, Nigeria.\u003c/p\u003e"},{"header":"MATERIALS AND METHODS","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eStudy Area\u003c/h2\u003e \u003cp\u003eOgun State is the closest state to Lagos State; the economic mainstay of Nigeria (Hassan, 2022 c). Ogun State has approximate landmass of sixteen thousand nine hundred and eighty –one thousand square kilometres and population of three million seven hundred and fifty – one thousand one hundred and forty according to Nigeria population census,2006 .The state has climate variation of rain and dry season. The rain season in Ogun State falls within April and October, while dry season within November and February (Hassan, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2022c\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThere are many quarry sites in Ogun State but the functional ones can only be found in six Local Government Areas (LGAs) of the State, namely; Odeda, Owode/Obafemi, Ijebu Norh, Ijebu East, Ijebu North East and Remo North LGA. The sample collection locations/villages with their corresponding operating companies are as follow; Baaki Ake (Blaco) and Adelokun (Zanex) in Owode/Obafemi LGA, Ishara (CCECC) in Remo LGA, Igodo (FW SAN concept) and Ilagbe (DLK) in Odeda LGA, Ogbere (Julius Berger)in Ijebu East LGA, Iwaye (Para crushing) in Ijebu Northeast LGA, and Idode (CCECC)in Ijebu North LGA. Sagamu in Sagamu LGA was a control site (lack quarry site) and it is central to all the selected quarry sites (Hassan, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2023a\u003c/span\u003e). Figure\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e is the map of eight study quarry sites with control in the LGAs of Ogun state.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003eSampling Techniques\u003c/h2\u003e \u003cp\u003eCommunities/locations that are five hundred – one thousand metres away from the quarry site in all six LGAs were selected (Hassan, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2022a\u003c/span\u003e). Odeda and Obafemi/Owode Local Government Areas (LGAs) have large amount of quarry companies; hence, two communities/locations each were sampled from the two LGAs while one location was sampled from the remaining LGAs (Hassan, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2022a\u003c/span\u003e). However, making a total of eight locations sampled. The soil were taken in harmattan and rainy seasons. Trace and heavy metals were analysed in the soil of eight selected communities; Ogbere (OGB), Iwaye (IWA), Idode (IDO), Isara (ISA), Ilagbe (ILA), Adelokun (ADE), Baaki Ake (BAA), and Igodo (IGO)) around the quarry sites and control site (sagamu) SAG.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003eSample Collection\u003c/h2\u003e \u003cp\u003eThe samples were taken from topsoil (0–15 cm) and Subsoil (15–30cm). However, at each location soil was collected at three places and bulked and sample for the analysis were taken from the bulk and the same action was carried out at three different places of the location. Invariably, three samples were taken from 0–15 cm and 15–30 cm each at a location; hence, sum of six samples from a particular location and fifty –four in nine locations including control. The samplings were carried out within the 10am and 4pm in November, 2015 for dry (harmattan) season and July, 2017 for wet (rainy) season. The following trace and heavy metals were determined:\u003c/p\u003e \u003cp\u003e \u003c/p\u003e\u003cul\u003e \u003cli\u003e \u003cp\u003eTrace metals: Mg, Al, K, Si, and Zn.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003eHeavy metals: Pb, Cd, Ni, As, Fe, Cu and Se\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003cp\u003e\u003c/p\u003e \u003cp\u003eThe samples were subjected to laboratory analyses and the values of each metal in the each three samples from each location were used to calculate means and standard deviation.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003eLaboratory Analysis of Trace and Heavy Metals\u003c/h2\u003e \u003cp\u003eFive grams of the pulverised sample was put into the 250 mL beaker for digestion. Hydrochloric acid and nitric acid in 3:1, making a volume of 30 mL and added into sample in the beaker and subsequently heated inside the fume cupboard for them to be digested. They were given time to cool down after the digestion. An addition of 20 mL of the extracting solution was put for further digestion and it was allowed to cool to 25 ̊ C and subsequently filtered into 250 mL beaker. However, the addition of distilled and de-ionised water used to mark to the level of 250 mL.\u003c/p\u003e \u003cp\u003eFurthermore, standard solutions of aluminum, magnesium, arsenic, copper, zinc, nickel, iron, lead, cadmium, silicon and selenium of 0.2, 0.4, 0.6, 0.8 and 1.0 mg/L were prepared from each of these metal solutions of 1000 mg/L stock solutions of the each metal. These standard solutions of each metal and their respective filtrates from the digested samples were determined using Atomic Absorption Spectrophotometer (AAS) instrument (UNICAM 929).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003ePotassium (K)\u003c/h2\u003e \u003cp\u003eThe sample was first digested in AAS and thereafter subjected to Flame Photometer Spectrophotometry analysis. The standard solutions of K; 0.2, 0.4, 0.6, 0.8, and 1.0 mg/L were obtained from stock solution of 1000 mg/L of K, and put each of them into separate clean borosilicate glass containers. These standard solutions of K, and the filtrate from digestion of the sample were determined using Flame Photometer (Jenway PFP 7).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003eData Analysis\u003c/h2\u003e \u003cp\u003eStatistical Package for Science (SAS 9.4 Version) was used for statistical analysis. Descriptive and Inferential statistical tools: Mean and t –test for comparison of mean, Pearson correlation analysis (PCR) was and Principal component analysis (PCA). Correlations between heavy metals, trace metals and the locations were analysed using the Pearson correlation analysis (PCR). The PCA was evaluated to study the possible causes of heavy and trace metals in the soils of the localities around the quarry sites (Baltas et al., \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2020\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eHowever, the Earth crust values (Alloway, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e1995\u003c/span\u003e) were used to match with the values of heavy metals generated through laboratory analysis. Furthermore, the chances that the surrounding polluted soils might cause environmental and health hazard were calculated using Pollution index (PI), Ecological risk index (ERI), Geo-accumulation index (GI), and Enrichment index (EI)\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section2\"\u003e \u003ch2\u003eEvaluation of pollution index\u003c/h2\u003e \u003cp\u003ePollution index is calculated by using Eq.\u0026nbsp;1\u003c/p\u003e \u003cp\u003e \u003cem\u003ePi\u003c/em\u003e = \u003cem\u003eC i / B\u003c/em\u003e (1)\u003c/p\u003e \u003cp\u003e \u003cem\u003eC i\u003c/em\u003e = metal concentration in the sample (heavy or trace)\u003c/p\u003e \u003cp\u003e \u003cem\u003eB\u003c/em\u003e = metal concentration (control soil)\u003c/p\u003e \u003cp\u003eThe metal (heavy or trace) pollution is ranked by four pollution levels based on the index (Hassan et al., 2023 b; Olatunde et al., \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2020\u003c/span\u003e ); as demonstrated in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e\u003c/p\u003e \u003cp\u003e \u003c/p\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003e\u003cb\u003eClassification of Pollution Index\u003c/b\u003e (Hassan et al., 2023 b; Olatunde et al., \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2020\u003c/span\u003e)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"2\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eValue\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePollution level\u003c/p\u003e \u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003ePi\u003c/em\u003e ≤ 1\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eLow\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e1 \u0026lt; \u003cem\u003ePi\u003c/em\u003e ≤ 3\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eModerate\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e3 \u0026lt; \u003cem\u003ePi\u003c/em\u003e ≤ 6\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eConsiderable\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003ePi\u003c/em\u003e \u0026gt; 6\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003every high\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e \u003cp\u003e\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003eEvaluation of ecological risk index\u003c/h2\u003e \u003cp\u003eThe ecological risk index \u003cem\u003e(Eri)\u003c/em\u003e = T i r ∗ \u003cem\u003eP i\u003c/em\u003e (2)\u003c/p\u003e \u003cp\u003e \u003cem\u003eEri\u003c/em\u003e = ecological risk factor, \u003cem\u003ePi\u003c/em\u003e = pollution index, and T i r = toxic response factor (constant)\u003c/p\u003e \u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e shows toxicity of metals level or factor\u003c/p\u003e \u003cp\u003e \u003c/p\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003e\u003cb\u003eToxicity of Metals Factor\u003c/b\u003e (Kolawole et al., \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2018\u003c/span\u003e; Nouri and Haddioui, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2016\u003c/span\u003e)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"2\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMetal\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eToxic Response Factor\u003c/p\u003e \u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAs\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e10\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCu\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePb\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCr\u003c/p\u003e \u003cp\u003eCd\u003c/p\u003e \u003cp\u003eNi\u003c/p\u003e \u003cp\u003eZn\u003c/p\u003e \u003cp\u003eMn\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e2\u003c/p\u003e \u003cp\u003e30\u003c/p\u003e \u003cp\u003e5\u003c/p\u003e \u003cp\u003e1\u003c/p\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e \u003cp\u003e\u003c/p\u003e \u003cp\u003eThe ecological risk level of the metal is ranked by using five values of the index (Hassan et al., 2023 b; Kolawole et al., \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2018\u003c/span\u003e); as demonstrated in Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e\u003c/p\u003e \u003cp\u003e \u003c/p\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003e\u003cb\u003eClassification of Ecological Risk Index (\u003c/b\u003eHassan et al., 2023 b; Kolawole et al., \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2018\u003c/span\u003e)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"2\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eValue\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eEcological risk level\u003c/p\u003e \u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eEr\u003c/em\u003ei \u0026lt; 40\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eLow\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e40 ≤ \u003cem\u003eEr\u003c/em\u003ei ≤ 80\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eModerate\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e80 ≤ \u003cem\u003eEr\u003c/em\u003ei ≤ 160\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eConsiderable\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e160 ≤ \u003cem\u003eEr\u003c/em\u003ei ≤ 320\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eHigh\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eEr\u003c/em\u003ei 320 \u0026gt;\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003every high\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e \u003cp\u003e\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003eEvaluation of geo-accumulation index\u003c/h2\u003e \u003cp\u003eThe geo-accumulation index (Igeo) = Log\u003csub\u003e2\u003c/sub\u003e (\u003cem\u003eC i\u003c/em\u003e / 1. 5 \u003cem\u003eB\u003c/em\u003e) (3)\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003e \u003cem\u003eB\u003c/em\u003e = metal concentration (heavy or trace) in the control\u003c/p\u003e \u003cp\u003eThe geo-accumulation levels of the metal (heavy or trace) are ranked by using seven values of the index as in Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e\u003c/p\u003e \u003cp\u003e \u003c/p\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003e\u003cb\u003eClassification of Geo-Accumulation Index\u003c/b\u003e (Hassan et al., 2023 b; Huu et al., 2020)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"2\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eValue\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eGeo-accumulation level\u003c/p\u003e \u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eI\u003c/em\u003e geo \u0026lt; 0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eUnpolluted\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e0 \u0026lt; Igeo \u0026lt; 1\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eunpolluted - moderately polluted\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e1 \u0026lt; Igeo \u0026lt; 2\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003emoderately polluted\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2 \u0026lt; Igeo \u0026lt; 3\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003emoderately - strongly polluted\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e3 \u0026lt; Igeo \u0026lt; 4\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003estrongly polluted\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e4 \u0026lt; Igeo \u0026lt; 5\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003estrongly - very strongly polluted\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eI\u003c/em\u003e geo ≥ 5\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003every strongly polluted\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e \u003cp\u003e\u003c/p\u003e \u003cp\u003e \u003cb\u003eDetermination of enrichment factor index\u003c/b\u003e (EFI)\u003c/p\u003e \u003cp\u003eEFI = (\u003cem\u003eCn\u003c/em\u003e ∕\u003cem\u003eC\u003c/em\u003e Fe) sample/(\u003cem\u003eCn\u003c/em\u003e∕\u003cem\u003eC\u003c/em\u003eFe) crust (4)\u003c/p\u003e \u003cp\u003eWhere \u003cem\u003eCn\u003c/em\u003e = concentration of the element of concern in polluted soil\u003c/p\u003e \u003cp\u003e \u003cem\u003eC\u003c/em\u003e Fe (p) = concentration of Fe in the polluted soil\u003c/p\u003e \u003cp\u003eCn (crust) \u003cem\u003e=\u003c/em\u003e concentration of the element of concern in the crust\u003c/p\u003e \u003cp\u003e \u003cem\u003eC\u003c/em\u003e Fe (crust) = concentration of the Fe in the crust.\u003c/p\u003e \u003cp\u003eThe degree of enrichment of any element is based on five enrichment factor classes in the Table\u0026nbsp;5\u003c/p\u003e \u003cp\u003e \u003cb\u003eTable\u0026nbsp;5 Classification of the Enrichment Factor index (\u003c/b\u003eBaltas, 2020; Sutherland et al., \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2000\u003c/span\u003e)\u003c/p\u003e \u003cp\u003e\u003cimg src=\"data:image/png;base64,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\"\u003e\u003cbr\u003e\u003c/p\u003e\u003c/div\u003e "},{"header":"RESULT AND DISUSSION","content":"\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\"±\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\"±\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\"±\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\"±\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\"±\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\"±\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\"±\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\"±\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\"±\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\"±\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab5\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 6\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003e\u003cb\u003eTrace metal (µg/kg) of Top Soil in Dry and Rainy Season (N = 3)\u003c/b\u003e\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"11\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eDry\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003eRainy\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/th\u003e\u003c/tr\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTrace metal/Location\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eZn\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eMg\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eSi\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eAl\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eK\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eZn\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003eMg\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003eSi\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e \u003cp\u003eAl\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c11\"\u003e \u003cp\u003eK\u003c/p\u003e \u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOGB\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c2\"\u003e \u003cp\u003e1.41 ± 0.23\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c3\"\u003e \u003cp\u003e0.85 ± 0.87\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c4\"\u003e \u003cp\u003e23.67 ± 0.11\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c5\"\u003e \u003cp\u003e10.45 ± 0.17\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c6\"\u003e \u003cp\u003e0.06 ± 0.44\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c7\"\u003e \u003cp\u003e0.06 ± 0.02\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c8\"\u003e \u003cp\u003e0.41 ± 0.02\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c9\"\u003e \u003cp\u003e0.0001 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c10\"\u003e \u003cp\u003e0.0015 ± 0.32\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c11\"\u003e \u003cp\u003e0.003 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIWA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c2\"\u003e \u003cp\u003e1.58 ± 0.43\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c3\"\u003e \u003cp\u003e0.21 ± 0.27\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c4\"\u003e \u003cp\u003e26.29 ± 0.73\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c5\"\u003e \u003cp\u003e12.64 ± 0.24\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c6\"\u003e \u003cp\u003e0.07 ± 0.41\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c7\"\u003e \u003cp\u003e0.06 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c8\"\u003e \u003cp\u003e0.45 ± 0.12\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c9\"\u003e \u003cp\u003e0.0010 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c10\"\u003e \u003cp\u003e0.0017 ± 0.14\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c11\"\u003e \u003cp\u003e0.194 ± 0.21\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIDO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c2\"\u003e \u003cp\u003e1.61 ± 0.22\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c3\"\u003e \u003cp\u003e0.11 ± 0.91\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c4\"\u003e \u003cp\u003e32.15 ± 0.93\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c5\"\u003e \u003cp\u003e14.41 ± 0.21\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c6\"\u003e \u003cp\u003e0.07 ± 0.7\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c7\"\u003e \u003cp\u003e0.07 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c8\"\u003e \u003cp\u003e0.41 ± 0.09\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c9\"\u003e \u003cp\u003e0.0009 ± 0.02\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c10\"\u003e \u003cp\u003e0.0021 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c11\"\u003e \u003cp\u003e0.228 ± 0.11\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eISA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c2\"\u003e \u003cp\u003e1.63 ± 0.78\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c3\"\u003e \u003cp\u003e0.31 ± 0.21\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c4\"\u003e \u003cp\u003e29.34 ± 0.29\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c5\"\u003e \u003cp\u003e13.87 ± 0.29\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c6\"\u003e \u003cp\u003e0.07 ± 0.39\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c7\"\u003e \u003cp\u003e0.08 ± 0.02\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c8\"\u003e \u003cp\u003e0.38 ± 0.14\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c9\"\u003e \u003cp\u003e0.0009 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c10\"\u003e \u003cp\u003e0.0016 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c11\"\u003e \u003cp\u003e0.005 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eILA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c2\"\u003e \u003cp\u003e1.48 ± 0.37\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c3\"\u003e \u003cp\u003e0.82 ± 0.33\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c4\"\u003e \u003cp\u003e3.32 ± 0.47\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c5\"\u003e \u003cp\u003e13.49 ± 0.47\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c6\"\u003e \u003cp\u003e0.04 ± 0.11\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c7\"\u003e \u003cp\u003e0.12 ± 0.10\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c8\"\u003e \u003cp\u003e0.38 ± 0.04\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c9\"\u003e \u003cp\u003e3.4520 ± 0.24\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c10\"\u003e \u003cp\u003e0.0016 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c11\"\u003e \u003cp\u003e0.182 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eADE\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c2\"\u003e \u003cp\u003e1.85 ± 0.21\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c3\"\u003e \u003cp\u003e0.91 ± 0.41\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c4\"\u003e \u003cp\u003e3.42 ± 0.38\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c5\"\u003e \u003cp\u003e14.57 ± 0.37\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c6\"\u003e \u003cp\u003e0.05 ± 0.38\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c7\"\u003e \u003cp\u003e0.07 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c8\"\u003e \u003cp\u003e0.42 ± 0.02\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c9\"\u003e \u003cp\u003e0.0008 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c10\"\u003e \u003cp\u003e0.0018 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c11\"\u003e \u003cp\u003e0.216 ± 0.42\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBAA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c2\"\u003e \u003cp\u003e1.96 ± 0.44\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c3\"\u003e \u003cp\u003e0.97 ± 0.29\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c4\"\u003e \u003cp\u003e3.52 ± 0.21\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c5\"\u003e \u003cp\u003e16.09 ± 0.49\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c6\"\u003e \u003cp\u003e0.06 ± 0.74\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c7\"\u003e \u003cp\u003e0.06 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c8\"\u003e \u003cp\u003e0.40 ± 0.22\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c9\"\u003e \u003cp\u003e0.0010 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c10\"\u003e \u003cp\u003e0.0021 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c11\"\u003e \u003cp\u003e0.004 ± 0.12\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIGO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c2\"\u003e \u003cp\u003e1.52 ± 0.19\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c3\"\u003e \u003cp\u003e0.86 ± 0.93\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c4\"\u003e \u003cp\u003e3.35 ± 0.24\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c5\"\u003e \u003cp\u003e13.75 ± 0.24\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c6\"\u003e \u003cp\u003e0.05 ± 0.33\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c7\"\u003e \u003cp\u003e0.11 ± 0.13\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c8\"\u003e \u003cp\u003e0.31 ± 0.14\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c9\"\u003e \u003cp\u003e3.4740 ± 0.34\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c10\"\u003e \u003cp\u003e0.0012 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c11\"\u003e \u003cp\u003e0.169 ± 0.03\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSAG\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c2\"\u003e \u003cp\u003e1.66 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c3\"\u003e \u003cp\u003e0.41 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c4\"\u003e \u003cp\u003e19.94 ± 0.14\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c5\"\u003e \u003cp\u003e11.40 ± 0.10\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c6\"\u003e \u003cp\u003e0.07 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c7\"\u003e \u003cp\u003e0.02 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c8\"\u003e \u003cp\u003e0.01 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c9\"\u003e \u003cp\u003e0.0007 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c10\"\u003e \u003cp\u003e0.0004 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\"±\" colname=\"c11\"\u003e \u003cp\u003e0.003 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c12\" colnum=\"12\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab6\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 7\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eTrace metal (µg/kg) of Sub Soil in Dry and Rainy Season (N = 3)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"12\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSeason\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eDry\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e \u003cp\u003eRainy\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLocation\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eZn\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eMg\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eSi\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eAl\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eK\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003eZn\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003eMg\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003eSi\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003eAl\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003eK\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOGB\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.36 ± 0.12\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.81 ± 0.2\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e24.31 ± 0.22\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e9.98 ± 0.79\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.07 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.06 ± 0.03\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.01 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.0005 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.0012 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.004 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIWA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.5 ± 0.42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.19 ± 0.23\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e27.84 ± 0.38\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e10.97 ± 0.47\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.07 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.05 ± 0.02\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.01 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.0005 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.0014 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.004 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIDO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.49 ± 0.31\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.13 ± 0.39\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e33.64 ± 1.02\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e12.85 ± 0.31\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.07 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.04 ± 0.02\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.01 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.0004 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.0012 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.004 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eISA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.54 ± 0.28\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.26 ± 0.11\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e30.15 ± 1.44\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e12.17 ± 0.33\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.07 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.05 ± 0.02\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.01 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.0004 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.0011 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.17 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eILA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.32 ± 0.19\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.82 ± 0.31\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e3.45 ± 0.47\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e11.05 ± 0.41\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.05 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.05 ± 0.02\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.01 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e3.32 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.0011 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.003 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eADE\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.69 ± 0.22\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.91 ± 0.21\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e3.52 ± 0.39\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e12.55 ± 0.22\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.05 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.06 ± 0.03\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.01 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.0004 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.0011 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.005 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBAA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.76 ± 0.19\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.66 ± 0.31\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e3.68 ± 0.27\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e14.09 ± 0.33\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.05 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.05 ± 0.03\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.02 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.0006 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.0014 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.21 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIGO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.52 ± 0.29\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.86 ± 0.27\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e3.35 ± 0.49\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e13.75 ± 0.21\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.05 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.05 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.02 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e3.4 ± 0.02\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.0014 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.004 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSAG\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.58 ± 0.18\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.36 ± 0.09\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e20.64 ± 0.99\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e10.69 ± 0.19\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.07 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.01 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.003 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.0004 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.0007 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.001 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab7\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 8\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eT-Test for Trace metals (µg/kg) of Soil in Dry and Rainy Season\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"6\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eMean value\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colspan=\"3\" nameend=\"c6\" namest=\"c4\"\u003e \u003cp\u003eT- Statistics\u003c/p\u003e \u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSeason/Metal\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003eDry\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003eWet\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003eT-Stat.\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cb\u003eP-value\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u003cb\u003eDecision\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eZn\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.57\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.06\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e36.54\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e7.14E-29\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eSignificant\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSi\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e14888.56\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e34035.22\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e9.63E-07\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.93E-06\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eSignificant\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAl\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e12.60\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11.94\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.79\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.44\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eNot Significant\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eK\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.06\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.06\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-1.04\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.31\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eNot Significant\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMg\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.19\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e4.52\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e7.14E-05\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eSignificant\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab8\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 9\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003e\u003cb\u003ePrincipal Component Analysis (PCA) For Trace Metal\u003c/b\u003e\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"3\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePC1\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ePC2\u003c/p\u003e \u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOGB\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e-0.35211\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.268951\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIWA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e-0.34547\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.272372\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIDO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e-0.35698\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.260575\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eISA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e-0.34463\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.271967\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eILA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.328365\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.201937\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eADE\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.312324\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.515358\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBAA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.321327\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.510956\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIGO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.344185\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.215848\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSAG\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e-0.28875\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.312368\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eStandard deviation\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.7615\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.04539\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eProportion of Variance (%)\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e99.560\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.35400\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCumulative Proportion (%)\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e99.560\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e99.9120\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c12\" colnum=\"12\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c13\" colnum=\"13\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c14\" colnum=\"14\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c15\" colnum=\"15\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab9\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 10\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eHeavy metal (µg/kg) of Top Soil in Dry and Rainy Season (N = 3)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"15\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eDry\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c12\"\u003e \u003cp\u003eRainy\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c13\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c15\"\u003e\u0026nbsp;\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLocation\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePb\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAs\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eNi\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eSe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eCu\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eFe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003eCd\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003ePb\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003eAs\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003eNi\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003eSe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003eCu\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003eFe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003eCd\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOGB\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.021 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.004 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.012 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.002 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e3.15 ± 0.03\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1264.35 ± 16.69\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.008 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.022 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.006 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.224 ± 0.14\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.001 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.042 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e0.043 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e0.016 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIWA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.029 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.005 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.022 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.003 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e2.95 ± 0.02\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1648.64 ± 65.64\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.006 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.018 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.006 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.001 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.001 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.042 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e0.045 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e0.013 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIDO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.018 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.006 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.023 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.003 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e3.31 ± 0.03\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1824.75 ± 35.66\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.006 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.014 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.004 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.001 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.000 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.031 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e0.035 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e0.012 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eISA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.019 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.008 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.018 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.003 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e3.42 ± 0.03\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1731.1 ± 25.63\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.005 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.022 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.006 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.211 ± 0.12\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.001 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.033 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e0.042 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e0.012 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eILA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.026 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.009 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.021 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.003 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e4.11 ± 0.04\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e968.91 ± 15.62\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.007 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.020 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.007 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.219 ± 0.13\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.001 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.037 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e0.040 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e0.014 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eADE\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.032 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.011 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.024 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.002 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e4.74 ± 0.04\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1385.22 ± 85.41\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.008 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.015 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.006 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.001 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.000 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.032 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e0.051 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e0.013 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBAA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.035 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.012 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.024 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.002 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e5.1 ± 0.05\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1422.13 ± 95.21\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.009 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.026 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.007 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.238 ± 0.11\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.000 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.045 ± 0.02\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e0.042 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e0.013 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIGO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.027 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.011 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.023 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.003 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e3.91 ± 0.03\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1184.07 ± 35.11\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.007 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.015 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.005 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.242 ± 0.13\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.001 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.032 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e0.035 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e0.013 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSAG\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.012 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.005 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.017 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.004 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e2.83 ± 0.02\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e2157.74 ± 36.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.004 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.010 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.003 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.001 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.000 ± 0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.014 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e0.012 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e0.058 ± 0.01\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEarth crust\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.014\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.0015\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.080\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.050\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.0001\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.014\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.0015\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.080\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e0.1\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c12\" colnum=\"12\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c13\" colnum=\"13\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c14\" colnum=\"14\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c15\" colnum=\"15\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab10\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 11\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eHeavy metal (µg/kg) of Sub Soil in Dry and Rainy Season (N = 3)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"15\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eDry\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c12\"\u003e \u003cp\u003eWet\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c13\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c15\"\u003e\u0026nbsp;\u003c/th\u003e\u003c/tr\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHeavy metal/Location\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePb\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAs\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eNi\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eSe\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eCu\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eFe\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003eCd\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003ePb\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e \u003cp\u003eAs\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c11\"\u003e \u003cp\u003eNi\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c12\"\u003e \u003cp\u003eSe\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c13\"\u003e \u003cp\u003eCu\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c14\"\u003e \u003cp\u003eFe\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c15\"\u003e \u003cp\u003eCd\u003c/p\u003e \u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOGB\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.021 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.004 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.011 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.002 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e2.82 ± 0.7\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1175.84 ± 17.8\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.006 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.015 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.005 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.009 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.001 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.034 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e0.034 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e0.010 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIWA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.026 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.005 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0. 018 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.002 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e2.76 ± 0.3\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1625.42 ± 12.4\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.006 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.014 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.005 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.001 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.001 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.026 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e0.032 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e0.009 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIDO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.487 ± 0.5\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.005 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.021 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.003 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e3.19 ± 0.4\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1795.75 ± 19.7\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.006 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.009 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.003 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.000 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.001 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.010 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e0.030 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e0.008 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eISA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.017 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.007 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.015 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.002 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e3.42 ± 0.3\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1693.63 ± 19.6\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.005 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.012 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.004 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.008 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.001 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.029 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e0.032 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e0.009 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eILA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.025 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.007 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.023 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.003 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e3.43 ± 0.3\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e853.30 ± 5.3\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.005 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.014 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.004 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.008 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.001 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.031 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e0.032 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e0.010 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eADE\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.029 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.010 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.024 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.003 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e4.12 ± 0.4\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1215.31 ± 11.3\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.007 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.013 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.004 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.000 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.001 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.025 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e0.032 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e0.009 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBAA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.031 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.010 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.025 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.002 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e4.75 ± 0.5\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1318.22 ± 11.2\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.006 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.019 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.005 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.010 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.000 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.029 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e0.040 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e0.011 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIGO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.026 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.008 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.024 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.003 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e3.54 ± 0.3\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1055.45 ± 15.4\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.005 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.015 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.005 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.010 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.001 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.033 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e0.032 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e0.011 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSAG\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.010 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.005 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.015 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.003 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e2.73 ± 0.2\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1963.27 ± 16.2\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.004 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.007 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.002 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.000 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.000 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.006 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e0.009 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e0.003 ± 0.0\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEarth crust\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.014\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.0015\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.080\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.050\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.0001\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.014\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.0015\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.080\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e0.0001\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab11\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 12\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eT-Test for Heavy Metals (µg/kg) of Soil in Dry and Rainy Season\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"6\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMetal\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eMean values\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colspan=\"3\" nameend=\"c6\" namest=\"c4\"\u003e \u003cp\u003eT- Statistics\u003c/p\u003e \u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cb\u003eDry\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003eWet\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003eT-stat.\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e\u003cb\u003ep-value\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e\u003cb\u003eDecision\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePb\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.11\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.32\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eNot Significant\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAs\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-2.63\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eSignificant\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNi\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-2.89\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eSignificant\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.02\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-1.89\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eNot Significant\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCu\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3.57\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.38\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.56\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eNot Significant\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1460.17\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1059.26\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e3.82\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e5.47E-04\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eSignificant\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCd\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.83\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.41\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eNot Significant\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab12\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 13\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003ePrincipal Component Analysis (PCA) For Heavy Metal\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"3\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLocation\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePC1\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ePC2\u003c/p\u003e \u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOGB\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e-0.02431\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e-0.33279\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIWA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.411416\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e-0.38\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIDO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.397738\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e-0.37847\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eISA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.353866\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e-0.37375\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eILA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e-0.42973\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e-0.28834\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eADE\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e-0.45748\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e-0.28548\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBAA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e-0.04938\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e-0.32981\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIGO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e-0.33992\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e-0.29832\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSAG\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e-0.18652\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e-0.31546\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eStandard deviation\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.001696\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.000573\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eProportion of Variance (%)\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e89.76400\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.23600\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCumulative Proportion (%)\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e89.76400\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e100\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab13\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 14\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003ePollution Index of Trace metals in Top soil (Dry and Rainy season)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"11\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSeason\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eDry\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003eRainy\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMetal/\u003c/p\u003e \u003cp\u003eLocation\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eZn\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eMg\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eSi\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eAl\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eK\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eZn\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003eMg\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003eSi\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003eAl\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003eK\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOGB\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.85\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.07\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.19\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.92\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.86\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e3.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e41.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.14\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e3.75\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIWA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.95\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.51\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.32\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.11\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e3.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e45.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e1.43\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e4.25\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e64.67\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIDO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.97\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.27\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.61\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.27\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e3.50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e41.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e1.29\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e5.25\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e76.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eISA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.98\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.76\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.47\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.22\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e4.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e38.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e1.29\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e4.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e1.67\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eILA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.89\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.17\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.19\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.57\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e6.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e38.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e4950.29\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e4.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e60.67\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eADE\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.11\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.22\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.17\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.28\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.71\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e3.50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e42.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e1.14\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e4.50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e72.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBAA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.17\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.37\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.18\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.41\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.86\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e3.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e40.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e1.43\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e5.25\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e1.33\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIGO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.92\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.10\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.17\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.21\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.71\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e5.50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e31.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e4962.57\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e3.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e56.33\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab14\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 15\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003e\u003cb\u003ePollution Index of Trace Metals in Subsoil (Dry and Rainy season)\u003c/b\u003e\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"11\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSeason\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eDry\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003eRainy\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/th\u003e\u003c/tr\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMetal/\u003c/p\u003e \u003cp\u003eLocation\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eZn\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eMg\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eSi\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eAl\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eK\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eZn\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003eMg\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003eSi\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e \u003cp\u003eAl\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c11\"\u003e \u003cp\u003eK\u003c/p\u003e \u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOGB\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.86\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2.25\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e1.18\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.93\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e6.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e3.33\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1.25\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e1.71\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e4.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIWA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.95\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.53\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e1.35\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1.02\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e5.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e3.33\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1.25\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e2.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e4.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIDO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.94\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.36\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e1.63\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1.20\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e4.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e3.33\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e1.71\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e4.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eISA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.97\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.72\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e1.46\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1.14\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e5.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e3.33\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e1.57\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e170.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eILA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.84\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2.28\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.17\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1.03\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.71\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e5.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e3.33\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e8,300.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e1.57\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e3.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eADE\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.07\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2.53\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.17\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1.17\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.71\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e6.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e3.33\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e1.57\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e5.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBAA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.11\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1.83\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.18\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1.32\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.71\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e5.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e6.67\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e1.50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e2.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e210.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIGO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.96\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e2.39\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.16\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1.29\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.71\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e5.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e6.67\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e8,500.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e2.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e4.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c12\" colnum=\"12\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c13\" colnum=\"13\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c14\" colnum=\"14\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c15\" colnum=\"15\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab15\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 16\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003e\u003cb\u003ePollution Index of Heavy Metals in Topsoil (Dry and Rainy season)\u003c/b\u003e\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"15\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSeason\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eDry\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c12\"\u003e \u003cp\u003eWet\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c13\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c15\"\u003e\u0026nbsp;\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMetal/\u003c/p\u003e \u003cp\u003eLocation\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePb\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAs\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eNi\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eSe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eCu\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eFe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003eCd\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003ePb\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003eAs\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003eNi\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003eSe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003eCu\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003eFe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003eCd\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOGB\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.75\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.80\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.71\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.12\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.59\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e2.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e2.2\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e6.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e11.2\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e3.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e3.6\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e0.3\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIWA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2.42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.10\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.75\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.04\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.76\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1.60\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e1.8\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e6.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.4\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e3.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e3.8\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e0.2\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIDO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.20\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.35\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.17\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.15\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.84\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1.33\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e1.4\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e4.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.4\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e2.1\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e2.9\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e0.2\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eISA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.13\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.75\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.45\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.80\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1.25\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e2.2\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e6.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e9.9\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e1.7\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e3.5\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e0.2\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eILA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2.92\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.18\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.35\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.41\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.45\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.45\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1.75\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e2.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e7.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e10.9\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e2.4\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e3.3\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e0.2\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eADE\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2.67\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.20\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.91\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.76\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.64\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e2.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e1.5\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e6.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.4\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e2.3\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e4.3\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e0.2\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBAA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2.92\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.40\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.18\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.69\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.66\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e2.25\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e2.6\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e7.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e13.9\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e3.2\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e3.6\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e0.2\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIGO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2.25\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.20\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.20\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.38\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.55\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e2.33\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e1.5\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e5.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e14.9\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e2.3\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e2.9\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e0.2\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c12\" colnum=\"12\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c13\" colnum=\"13\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c14\" colnum=\"14\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c15\" colnum=\"15\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab16\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 17\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003e\u003cb\u003ePollution Index of Heavy metal in Subsoil (Dry and Rainy season)\u003c/b\u003e\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"15\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSeason\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eDry\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c12\"\u003e \u003cp\u003eRainy\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c13\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c15\"\u003e\u0026nbsp;\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHeavy metal/ Location\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePb\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAs\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eNi\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eSe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eCu\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eFe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003eCd\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003ePb\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003eAs\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003eNi\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003eSe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003eCu\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003eFe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003eCd\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOGB\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2.10\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e8.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.73\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e6.67\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.03\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.60\u003c/p\u003e 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colname=\"c3\"\u003e \u003cp\u003e10.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.20\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e6.67\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.83\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1.50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e2.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e2.50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e4.33\u003c/p\u003e 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colname=\"c9\"\u003e \u003cp\u003e1.29\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e1.50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e1.67\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e3.33\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e2.67\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eISA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.70\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e14.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e 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colname=\"c15\"\u003e \u003cp\u003e3.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eILA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2.50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e14.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.53\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e10.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.26\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.43\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1.25\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e2.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e 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colname=\"c1\"\u003e \u003cp\u003eBAA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3.10\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e20.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.67\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e6.67\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.74\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.67\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1.50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e2.71\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e2.50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e4.83\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e4.44\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e3.67\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIGO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2.60\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e16.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.60\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e10.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.30\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e 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align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c12\" colnum=\"12\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c13\" colnum=\"13\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c14\" colnum=\"14\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c15\" colnum=\"15\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab17\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 18\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003e\u003cb\u003eEcological Risk Index of Heavy metal in Topsoil (Dry and Wet season)\u003c/b\u003e\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"15\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSeason\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colspan=\"7\" nameend=\"c8\" namest=\"c2\"\u003e \u003cp\u003eDry\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c11\"\u003e \u003cp\u003eRainy\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c13\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c15\"\u003e\u0026nbsp;\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHeavy metal/\u003c/p\u003e \u003cp\u003eLocation\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePb\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAs\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eNi\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eSe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eCu\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eFe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003eCd\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003ePb\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003eAs\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003eNi\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003eSe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003eCu\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003eFe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003eCd\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOGB\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e8.75\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e8.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e3.53\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e5.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e60.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e11.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e60.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e56.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e15.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e9.0\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIWA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e12.09\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e5.50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e5.2\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e48.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e9.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e60.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e4.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e15.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e6.0\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIDO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7.50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e12.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e6.77\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e5.77\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e39.99\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e7.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e40.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e2.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e10.5\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e6.0\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eISA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7.92\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e20.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e5.63\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e7.24\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e37.50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e11.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e60.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e49.5\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e8.5\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e6.0\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eILA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e14.59\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e31.82\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e11.77\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e7.27\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e52.50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e10.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e70.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e54.5\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e12.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e6.0\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eADE\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e13.34\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e22.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e9.55\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e8.79\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e60.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e7.5\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e60.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e4.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e11.5\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e6.0\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBAA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e14.59\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e24.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e10.91\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e8.46\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e67.50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e13.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e70.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e69.5\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e16.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e6.0\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIGO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e11.25\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e22.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e11.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e6.90\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e69.99\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e7.5\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e50.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e74.5\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e11.5\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e6.0\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c12\" colnum=\"12\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c13\" colnum=\"13\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c14\" colnum=\"14\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c15\" colnum=\"15\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab18\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 19\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003e\u003cb\u003eEcological Risk Index of Heavy metal in Subsoil (Dry and Rainy season)\u003c/b\u003e\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"15\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSeason\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colspan=\"7\" nameend=\"c8\" namest=\"c2\"\u003e \u003cp\u003eDry\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c11\"\u003e \u003cp\u003eRainyt\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c13\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c15\"\u003e\u0026nbsp;\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHeavy metal/\u003c/p\u003e \u003cp\u003eLocation\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePb\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAs\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eNi\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eSe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eCu\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eFe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003eCd\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003ePb\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003eAs\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003eNi\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003eSe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003eCu\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003eFe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003eCd\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOGB\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e10.5\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e80.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e3.65\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e5.15\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e45.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e10.72\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e25.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e28.33\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e100.0\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIWA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e13.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e100.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e6.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e5.12\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e45.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e10.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e25.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e21.67\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e90.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIDO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e743.5\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e100.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e14.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.38\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e45.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e6.43\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e15.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e8.33\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e80.01\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eISA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e8.17\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e98.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e6.49\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e8.34\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e15.63\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e8.57\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e20.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e24.17\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e90.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eILA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e12.5\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e196.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.30\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e18.75\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e10.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e20.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e25.83\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e100.0\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eADE\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e14.5\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e400.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e9.60\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e7.55\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e52.50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e9.29\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e20.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e20.83\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e90.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBAA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e15.5\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e400.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e10.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e11.61\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e45.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e13.57\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e25.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e24.17\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e110.0\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIGO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e13.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e320.0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e8.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e6.50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e31.25\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e10.72\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e25.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e27.50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e-\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e110.0\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab19\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 20\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eGeo – accumulation Index of Trace metals in Topsoil (Dry and Rainy season)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"11\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSeason\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eDry\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003eRainy\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTrace metal/Location\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eZn\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eMg\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eSi\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eAl\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eK\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eZn\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003eMg\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003eSi\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003eAl\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003eK\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOGB\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0.82\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.47\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.34\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-0.71\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-0.81\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e4.77\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e-3.39\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e1.32\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e-0.58\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIWA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0.66\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e-1.55\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.19\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-0.44\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-0.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e4.91\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e-0.07\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e1.51\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e5.43\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIDO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0.63\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e-2.48\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.10\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-0.25\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-0.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.22\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e4.77\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e-0.22\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e1.81\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e5.66\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eISA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0.61\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e-0.99\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.03\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-0.30\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-0.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e4.66\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e-0.22\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e1.42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eILA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0.75\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-3.17\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-0.34\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-1.39\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e2.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e4.66\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e11.68\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e1.42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e5.34\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eADE\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0.43\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.57\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-3.13\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-0.23\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-1.07\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.22\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e4.81\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e-0.39\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e1.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e5.58\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBAA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0.35\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.66\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-3.09\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-0.09\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-0.81\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e4.74\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e-0.07\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e1.81\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e-0.17\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIGO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0.71\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.48\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-3.16\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-0.31\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-1.07\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.87\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e4.37\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e11.69\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e5.23\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab20\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 21\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eGeo – accumulation Index of Trace Metal in Subsoil (Dry and Rainy season)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"11\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSeason\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eDry\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003eRainy\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTrace metal/\u003c/p\u003e \u003cp\u003eLocation\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eZn\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eMg\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eSi\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eAl\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eK\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eZn\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003eMg\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003eSi\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003eAl\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003eK\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOGB\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0.80\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.35\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-0.68\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-0.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e2.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1.15\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e-0.26\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.19\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e1.42\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIWA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0.66\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e-1.51\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.15\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-0.55\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-0.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.74\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1.15\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e-0.26\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e1.42\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIDO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0.67\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e-2.05\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.12\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-0.32\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-0.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1.15\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e-0.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.19\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e1.42\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eISA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0.62\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e-1.05\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.04\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-0.40\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-0.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.74\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1.15\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e-0.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e6.82\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eILA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0.84\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.60\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-3.17\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-0.54\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-1.07\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.74\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1.15\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e12.43\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eADE\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0.49\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.75\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-3.14\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-0.35\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-1.07\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e2.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1.15\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e-0.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e1.74\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBAA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0.43\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.29\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-3.07\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-0.19\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-1.07\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.74\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e2.15\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e-0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e7.13\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIGO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e-0.64\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.67\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-3.21\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-0.22\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-1.07\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.74\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e2.15\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e12.47\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e1.42\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c12\" colnum=\"12\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c13\" colnum=\"13\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c14\" colnum=\"14\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c15\" colnum=\"15\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab21\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 22\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eGeo – accumulation Index of Heavy metal in Topsoil (Dry and Rainy Season)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"15\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSeason\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eDry\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c11\"\u003e \u003cp\u003eRainy\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c13\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c15\"\u003e\u0026nbsp;\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHeavy metal/Location\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePb\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAs\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eNi\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eSe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eCu\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eFe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003eCd\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003ePb\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003eAs\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003eNi\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003eSe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003eCu\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003eFe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003eCd\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOGB\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.22\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e-0.91\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-1.09\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-1.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-0.43\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-1.36\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.55\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e7.22\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e1.26\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e-2.44\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIWA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.69\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e-0.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.21\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-1.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-0.53\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-0.97\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.26\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e-0.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e1.32\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e-2.74\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIDO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e-0.32\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.15\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-1.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-0.36\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-0.83\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e-0.10\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e-0.17\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e-0.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.56\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e0.96\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e-2.86\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eISA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.08\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-1.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-0.31\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-0.90\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e-0.26\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.55\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e7.14\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.65\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e1.22\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e-2.86\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eILA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.53\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.26\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.28\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-1.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-0.05\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-1.74\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.22\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.64\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e7.19\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.82\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e1.15\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e-2.64\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eADE\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.83\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.55\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.09\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-1.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.16\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-1.22\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e-0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e-0.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.61\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e1.50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e-2.74\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBAA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.96\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.68\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.09\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-1.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.26\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-1.19\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.79\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.64\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e7.31\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e1.10\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e1.22\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e-2.74\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIGO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.55\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.15\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e-1.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e-0.12\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e-1.45\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.22\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e7.33\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.61\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e \u003cp\u003e0.96\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e \u003cp\u003e-2.74\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c12\" colnum=\"12\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c13\" colnum=\"13\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c14\" colnum=\"14\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c15\" colnum=\"15\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab22\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 23\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eGeo – accumulation Index of Heavy metal in Subsoil (Dry and Rainy Season)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"15\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSeason\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eDry\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c11\"\u003e \u003cp\u003eRainy\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c13\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c15\"\u003e\u0026nbsp;\u003c/th\u003e\u003c/tr\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHeavy metal/Location\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePb\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAs\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eNi\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eSe\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eCu\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eFe\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003eCd\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003ePb\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e \u003cp\u003eAs\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c11\"\u003e \u003cp\u003eNi\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c12\"\u003e \u003cp\u003eSe\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c13\"\u003e \u003cp\u003eCu\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c14\"\u003e \u003cp\u003eFe\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c15\"\u003e \u003cp\u003eCd\u003c/p\u003e \u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOGB\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.49\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e-0.91\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e-1.03\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e-1.17\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e-0.54\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e-1.32\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e0.51\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e0.74\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e \u003cp\u003e1.92\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c14\"\u003e \u003cp\u003e1.33\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c15\"\u003e \u003cp\u003e1.15\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIWA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.79\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e-0.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e-0.32\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e-1.17\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e-0.57\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e-0.86\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e0.74\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e \u003cp\u003e1.53\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c14\"\u003e \u003cp\u003e1.25\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c15\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIDO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e6.63\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e-0.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e-0.10\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e-0.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e-0.36\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e-0.71\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e-0.22\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c14\"\u003e \u003cp\u003e1.15\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c15\"\u003e \u003cp\u003e0.83\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eISA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.18\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e-0.10\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e-0.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e-1.17\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e-0.26\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e-0.80\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e-0.26\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e0.19\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e \u003cp\u003e1.69\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c14\"\u003e \u003cp\u003e1.25\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c15\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eILA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.74\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e-0.10\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.03\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e-0.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e-0.26\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e-1.79\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e-0.26\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e \u003cp\u003e1.78\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c14\"\u003e \u003cp\u003e1.25\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c15\"\u003e \u003cp\u003e1.15\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eADE\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.95\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e-0.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e-1.28\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.22\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e0.31\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e \u003cp\u003e1.47\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c14\"\u003e \u003cp\u003e1.25\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c15\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBAA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.05\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.15\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e-1.17\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e0.21\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e-1.16\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e0.86\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e0.74\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e \u003cp\u003e1.69\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c14\"\u003e \u003cp\u003e1.57\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c15\"\u003e \u003cp\u003e1.29\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIGO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.79\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.09\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e0.10\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e-0.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e-0.21\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e \u003cp\u003e-0.81\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e \u003cp\u003e0.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e \u003cp\u003e0.51\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e \u003cp\u003e0.75\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c11\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c12\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c13\"\u003e \u003cp\u003e1.87\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c14\"\u003e \u003cp\u003e1.25\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c15\"\u003e \u003cp\u003e1.29\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c12\" colnum=\"12\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c13\" colnum=\"13\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab23\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 24\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eEnrichment Factor Index of Heavy Metals in Topsoil (Dry and Rainy Season)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"13\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSeason\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eDry\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e \u003cp\u003eRainy\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c13\"\u003e\u0026nbsp;\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHeavy metal/Location\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePb\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAs\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eNi\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eSe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eCu\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eCd\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003ePb\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003eAs\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003eNi\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003eSe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003eCu\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003eCd\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOGB\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2.99\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.37\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.20\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.85\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.90\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e3.41\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.61\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.56\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e62.51\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.84\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.08\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIWA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3.16\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.31\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.69\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.98\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.36\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.96\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.48\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.53\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.27\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.80\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.06\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIDO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.77\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.60\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.89\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.38\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.77\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.48\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.46\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.34\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.76\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eISA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.97\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.99\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.32\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.93\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.51\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.56\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.63\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.57\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e60.29\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.67\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.06\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eILA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4.83\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e4.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.75\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.67\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e3.23\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e3.90\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.60\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.70\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e65.70\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.79\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eADE\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4.15\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.43\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.20\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.78\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e2.61\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e3.12\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.35\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.47\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0.24\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.54\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBAA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4.43\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.64\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.14\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.76\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e2.73\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e3.41\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.74\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.67\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e68.00\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.92\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.06\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIGO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4.10\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e4.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.47\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.37\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e2.52\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e3.19\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.51\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.57\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e82.97\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.78\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.08\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e\u003cdiv class=\"gridtable\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c12\" colnum=\"12\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c13\" colnum=\"13\"\u003e\u003c/div\u003e\u003ctable float=\"Yes\" id=\"Tab24\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 25\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eEnrichment Factor Index of Heavy Metals in Subsoil (Dry and Rainy Season)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e\u003ccolgroup cols=\"13\"\u003e\u003c/colgroup\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSeason\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eDry\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003eRainy\u003c/p\u003e \u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c11\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c13\"\u003e\u0026nbsp;\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHeavy metal/\u003c/p\u003e \u003cp\u003eLocation\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePb\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAs\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003eNi\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eSe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003eCu\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003eCd\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003ePb\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003eAs\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003eNi\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003eSe\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003eCu\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003eCd\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOGB\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3.51\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.34\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.22\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.11\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.72\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e2.50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.57\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.66\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e1.50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.88\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIWA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3.14\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.21\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.45\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.81\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.22\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.81\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.56\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.70\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e1.22\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.84\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIDO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e162.57\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.09\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.53\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.09\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.28\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.64\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.39\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.45\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e0.50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.80\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eISA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.97\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.62\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1.16\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.77\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1.45\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.45\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.48\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.56\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e1.36\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.84\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eILA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5.75\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.22\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e3.53\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e2.30\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e2.89\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e2.88\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.56\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.56\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e1.45\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.94\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eADE\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4.68\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.23\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.58\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.62\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e2.44\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e2.83\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.52\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.56\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e1.17\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.84\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBAA\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4.62\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.98\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.48\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.99\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e2.59\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e2.23\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.61\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.56\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e1.09\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e0.82\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIGO\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4.84\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.98\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.98\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.86\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e2.41\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e2.33\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.60\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.70\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e \u003cp\u003e1.55\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e \u003cp\u003e1.03\u003c/p\u003e \u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/table\u003e\u003c/div\u003e"},{"header":"DISCUSSION","content":"\u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e6\u003c/span\u003e demonstrates the determination of the trace metal contents of the topsoil in the harmattan and rainy season. In the harmattan season, Zn varies from 1.41 ± 0.23–1.96 ± 0.44 µg/kg with OGB and BAA respectively. With the exclusion of BAA (1.96 ± 0.44 µg/kg) that was greater than the control (1.66 ± 0.01 µg/kg) (Etim \u0026amp; Adie, 2012). In the rainy season, Zn across the locations showed that IWA and ILA vary from 0.06 ± 0.00–0.12 ± 0.10 µg/kg respectively. Comparing these with the control (0.02 ± 0.00 µg/kg), it was discovered that none was lesser than the control (Etim \u0026amp; Adie, 2012). However, the values of the Mg in the harmattan season, vary from 0.11 ± 0.91–0.97 ± 0.29 µg/kg with IDO, and BAA respectively; with the exception of IWA (0.21 ± 0.27 µg/kg), IDO (0.11 ± 0.91 µg/kg), and ISA (0.31 ± 0.21 µg/kg) that lesser than the control (0.41 ± 0.00 µg/kg) (Ayodele et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). As far as Mg across the locations in rainy is concerned, the values vary as follow; 0.31 ± 0.14 µg/kg (IGO) − 0.45 ± 0.12 µg/kg (IWA), and were greater than the control (0.01 ± 0.00 µg/kg) (Ayodele et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). Si content in the dry season varies from 3.32 ± 0.47–32.15 ± 0.93 µg/kg with corresponding locations; ILA and IDO. However, ILA (3.32 ± 0.47 µg/kg), ADE (3.42 ± 0.38 µg/kg), BAA (3.52 ± 0.21 µg/kg) and IGO (3.35 ± 0.24 µg/kg) were lesser than the control (19.94 ± 0.14 µg/kg); whereas OGB (23.67 ± 0.11 µg/kg), ISA (29.34 ± 0.29 µg/kg), IDO (32.15 ± 0.93 µg/kg) and IWA (26.29 ± 0.73 µg/kg) were greater (Olatunde et al., \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Si (rainy season) across the locations, the values were within the range 0.0001 ± 0.0–3.474 ± 0.34 µg/kg with OGB and IGO respectively; with the exclusion of OGB (0.0001 ± 0.0 µg/kg), all other locations were greater than the control (0.0007 ± 0.00 µg/kg) (Olatunde et al., \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Al (harmattan season) varies from 10.45 ± 0.17–16.09 ± 0.49 µg/kg; with the OGB and BAA respectively. All the locations were greater than the control (11.40 ± 0.10 µg/kg) (Olatunde et al., \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Furthermore, Al (rainy season) ranges between 0.0012 ± 0.0–0.0021 ± 0.01 µg/kg with corresponding locations; 1GO and IDO/BAA. In fact, all the locations were greater than the control (0.0004 ± 0.00 µg/kg). (Olatunde et al., \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Furthermore, K (harmattan season) values across the locations vary from (ILA) 0.04 ± 0.11–0.07 ± 0.41 µg/kg (IWA). However, three locations; IWA (0.07 ± 0.41 µg/kg), IDO (0.07 ± 0.7µg/kg) and ISA (0.07 ± 0.39 µg/kg) were more or less the same values as the control (0.07 ± 0.00 µg/kg) (Olatunde et al., \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Finally, the K (rainy season) values across locations vary from 0.003 ± 0.0–0.228 ± 0.11 µg/kg with their respective locations; OGB and IDO. None of these values was lesser than the control (0.003 ± 0.00 µg/kg) (Olatunde et al., \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2021\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eGenerally, in the locations where the trace metal higher than the control connote that they were affected by quarry activities but good for the surrounding soil as they are good as plants nutrient (Adeyanju \u0026amp; Okeke, \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Morkunas et al., 2018), which could invariably be consumed by man, hence good health. However, the locations where the trace metal were lesser than the control; though they were few but could be as a result of the following reasons; rigorous farming that was going on there as at the time of sampling in both season (Hassan, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2022b\u003c/span\u003e). In addition, those locations where within the sphere of the quarries that opposed the tax levied by the Ogun state government in 2014, on the quarries (Hassan, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2022a\u003c/span\u003e). Hence, there were brief cessation of activities by the affected quarries. These might have affected the deposition of the trace metals (Hassan, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2022b\u003c/span\u003e). However, most results in wet season were lesser than dry season, because the construction and infrastructure sectors that are customers of the quarries are usually on holiday in rainy season; this bring about little demand for the quarry merchandises; hence, quarry events are lower (Hassan, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2022b\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eThe determination of the trace metal of subsoil in harmattan and rainy seasons were demonstrated in Table\u0026nbsp;\u003cspan refid=\"Tab6\" class=\"InternalRef\"\u003e7\u003c/span\u003e. Zn level in subsoil during harmattan season varies from ILA (1.32 ± 0.19) – BAA (1.76 ± 0.19 µg/kg). Many of the locations namely; OGB (1.36 ± 0.12 µg/kg), IWA (1.5 ± 0.42 µg/kg), IDO (1.49 ± 0.31 µg/kg), ISA (1.54 ± 0.28 µg/kg), ILA (1.32 ± 0.19 µg/kg) and IGO (1.52 ± 0.29 µg/kg) were below the control (1.58 ± 0.18 µg/kg) (Ayodele et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). The Zn levels of subsoil in rainy season were IDO (0.04 ± 0.02–0.06 ± 0.03 µg/kg) OGB/ADE and all the levels of the Zn were greater than the control (0.01 ± 0.00 µg/kg) (Ayodele et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). Mg level (harmattan season) varies from IDO (0.13 ± 0.39) – ADE (0.91 ± 0.21 µg/kg) across locations; with locations like IWA (0.19 ± 0.23 µg/kg), IDO (0.13 ± 0.39 µg/kg) and ISA (0.26 ± 0.11 µg/kg) lesser than the control (0.36 ± 0.09 µg/kg) (Ayodele et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). Mg (rainy season), the levels vary from 0.01 ± 0.01–0.02 ± 0.01 µg/kg and all locations were greater than the control (0.003 ± 0.00 µg/kg) (Ayodele et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). Si (harmattan season) across locations vary from (IGO) 3.35 ± 0.49–33.64 ± 1.02 µg/kg (IDO). Some of these locations namely; ILA (3.45 ± 0.47 µg/kg), ADE (3.52 ± 0.39 µg/kg), BAA (3.68 ± 0.27 µg/kg) and IGO (3.35 ± 0.49 µg/kg) were lower than the control (20.64 ± 0.99 µg/kg) (Ayodele et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). The subsoil Si levels (rainy season) around the quarries vary from IWA/ISA/ADE (0.0004 ± 0.00–3.4 ± 0.02 µg/kg) IGO. However, none of these levels of Si was smaller than the control (0.0004 ± 0.00 µg/kg) (Ayodele et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). The Al levels (harmattan season) across locations were (OGB) 9.98 ± 0.79–14.09 ± 0.33 µg/kg (BAA); with only OGB (9.98 ± 0.79 µg/kg) that was lower than the control (10.69 ± 0.19 µg/kg) (Ayodele et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). The Al levels (rainy season) in all locations vary from ISA/ILA/ADE (0.0011 ± 0.00–0.0014 ± 0.00 µg/kg) IWA/ BAA / IGO and all these values were above the control site (0.0007 ± 0.00 µg/kg) (Ayodele et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). Moreover, K levels (harmattan season) in the subsoil around quarries vary from 0.05 ± 0.0–0.07 ± 0.0 µg/kg with their respective locations ILA/ADE/BAA/IGO and OGB/IWA/IDO/ISA. However, four among these locations were lower than the control (0.07 ± 0.00 µg/kg) and the other four locations had the same values as the control (Ayodele et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). Finally, the K levels (rainy season) in the subsoil across locations vary from ILA (0.003 ± 0.00–0.21 ± 0.01 µg/kg), BAA and none of these levels were lower than the control site (0.001 ± 0.00 µg/kg) (Ayodele et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2014\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eFurthermore, the reason why some locations low in deposition of certain trace metal in sub soil is ditto to the topsoil as what was deposited to the topsoil is likely to be percolated to the subsoil or washed away from topsoil especially during wet season; hence, able or unable to reach subsoil respectively. However, among the trace metal that showed increase in the value in subsoil especially during wet season are Al, K, Si and Mg; and they are good for the soil being trace elements needed by plants (Hassan, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2022b\u003c/span\u003e). Si is also economically important as it is used in production of many components of electrical and electronic gadgets. Where the deposition of trace metals higher enough, they could reach the ground water as most of the locations where the quarries sited are villages or hamlet, and their water sources are merely ground water, which could affect them positively or negatively depending on the trace metal involves (Hassan, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2022b\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab7\" class=\"InternalRef\"\u003e8\u003c/span\u003e is the t-test result of trace metal concentrations for the soil in dry and wet season in all locations. However, the result of the analysis shows that there was significant difference between the mean of the Zn in all locations (1.57 µg/kg) in the harmattan season and that of the rainy season (0.06 µg/kg); moreover, the harmattan season mean was higher than the rainy season. There was significant difference between the mean of the Mg level (0.58 µg/kg) in the harmattan season and the rainy season (0.19 µg/kg) but the means of harmattan season was greater than the rainy season. The Si mean of all locations (14888.56 µg/kg) in harmattan season was not insignificantly different from that of the rainy season (34035.22 µg/kg) but the mean of harmattan season was lesser than of the rainy season. Al mean of all locations was 12.60 µg/kg in harmattan season and was insignificantly different from the mean of all locations in rainy season (11.94 µg/kg); however, harmattan season mean was greater than the mean of the rainy season. The mean of K for all locations (0.06 µg/kg) in harmattan season was insignificantly different from that of the rainy season (0.06 µg/kg) and they were more or less the same in both seasons (Hassan, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2022c\u003c/span\u003e)).\u003c/p\u003e\u003cp\u003eFigure \u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e shows heat map of trace metal (mg/L) by location; there was a very strong positive correlation in the level of trace metals of control site and the following locations; OGB, IWA, IDO and ISA, while there was a weak positive correlation in the trace metals of the control site and ILA, ADE, BAA and IGO. This implies that the trace metals in ILA, ADE, BAA and IGO have been affected by quarry activities and that there were unobserved variables that affect the trace metal in ILA, ADE, BAA, and IGO. This is buttressed by the correlation table in Appendix 26, showing that the correlation between control and OGB is 0.9939, between control and IWA is 0.995, between control and IDO is 0.9929, between control and ISA is 0.9952; while between control and ILA is 0.5719 between control and ADE is 0.5991, between control and BAA is 0.5874, between control and IGO is 0.5535. Based on the result of the correlation, there is a need for a Principal Component Analysis (PCA). Hence, Table\u0026nbsp;\u003cspan refid=\"Tab8\" class=\"InternalRef\"\u003e9\u003c/span\u003e shows that 99.56% of the variation in the trace metals is explained by the first principal component, while 99.91% are explained by the first two principal components. Thus, the variation in the trace metals in the locations are explained by two unobserved variables, which could be quarry activities and any other environmental factor. Figure\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e is the PCA biplot of the trace metal in the locations, and it supports the PCA results. The control, OGB, IWA, IDO, ISA are negatively related to the quarry activities, while ILA, ADE, BAA, and IGO have positive relationship with the quarry activities. This means that quarry events are responsible for the variation in the trace metals in all the locations as depicted in the scree plot in Appendix 6. Appendix 7 is the Cos2 of variables to Dimension-1-2 plot (cos2 plot) of trace metals in the locations, and it shows that the variables with a high cos2 indicates that when all the principal components’ sums of cos2 equal one, the variable is well represented on the model. The location that is most represented by the principal components is IDO, followed by OGB, IWA, ISA, IGO, ILA, BAA, ADE, and the least represented is control.\u003c/p\u003e\u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab9\" class=\"InternalRef\"\u003e10\u003c/span\u003e shows the determination of the heavy metal of the topsoil (harmattan and rainy season). In the harmattan season, Pb varying from 0.018 ± 0.01–0.035 ± 0.01 µg/kg across locations; IDO (lowest) and BAA (highest) respectively. On a general note, none was lesser than the control (0.012 ± 0.01 µg/kg); (Bada \u0026amp; Fagbayigbo, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2009\u003c/span\u003e). In the rainy season, the Pb content in various locations varies as follows, (IDO) 0.014 ± 0.00–0.026 ± 0.01 µg/kg (BAA) and all of these values were greater than the control (0.010 ± 0.00 µg/kg) (Bada \u0026amp; Fagbayigbo, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2009\u003c/span\u003e). In addition, all the values of Pb across locations in both seasons were greater than the Earth crust (0.014 µg/kg). As deposit (harmattan season) varies from 0.004 ± 0.00–0.012 ± 0.01 µg/kg across locations; with OGB (lowest) and BAA (highest); however, of all these values only OGB (0.004 µg/kg) was lower than the control (0.005 ± 0.00 µg/kg) (Bada \u0026amp; Fagbayigbo, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2009\u003c/span\u003e). With As deposit (rainy season), the values range 0.004 ± 0.00–0.007 ± 0.00 µg/kg and their respective locations were IDO and ILA/BAA Ake. However, all values of As deposit, with no exception were higher than the control (0.003 ± 0.00 µg/kg) (Bada \u0026amp; Fagbayigbo, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2009\u003c/span\u003e). In both season, As values (all locations) were greater than the Earth crust (0.0015 µg/kg). Furthermore, the Ni values (harmattan season) across locations range from (OGB) 0.012 ± 0.00–0.024 ± 0.00 µg/kg (ADE/BAA). However, only OGB was lesser than the control (0.017 ± 0.00 µg/kg) (Bada \u0026amp; Fagbayigbo, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2009\u003c/span\u003e). The values of the Ni (rainy season) vary from 0.001 ± 0.00–0.24 ± 0.13 µg/kg with ADE and IGO respectively. Moreso, all the values of Ni were greater than the control (0.001 ± 0.00 µg/kg) (Bada \u0026amp; Fagbayigbo, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2009\u003c/span\u003e). The values of Ni (harmattan season) across locations were lesser than the Earth crust (0.08 µg/kg), whereas in rainy season, only IWA, IDO and ADE (0.001 ± 0.00 µg/kg) were lesser than the Earth crust. The values of the Se across locations range from 0.002 ± 0.00–0.003 ± 0.00 µg/kg in these corresponding locations; OGB/ADE/BAA and IWA/ IDO/ISA/ ILA/ IGO; while control (0.004 ± 0.00 µg/kg) was greater than any of the Se values across locations ((Ayodele et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2014\u003c/span\u003e)). In rainy season, the Se concentrations were determined in all sampled locations and the following results range were obtained; 0.000 ± 0.00–0.001 ± 0.00 µg/kg with the corresponding locations; IDO/ADE/BAA, and OGB/ IWA/ ISA/ILA/IGO. However, all values across locations were greater than the control (0.000 ± 0.00 µg/kg) (Ayodele et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). The values of the Cu (harmattan season) range from 2.95 ± 0.02–5.1 ± 0.05 µg/kg with their respective locations; Iwa and BAA. Moreover; the values were greater than the control (2.83 ± 0.02 µg/kg) (Bada \u0026amp; Fagbayigbo, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2009\u003c/span\u003e). Cu concentration (rainy season) varies in all locations from 0.031 ± 0.01–0.045 ± 0.02 µg/kg with their respective locations; IDO and BAA. However, all the values across the locations were greater than the control (0.014 ± 0.01 µg/kg) (Bada \u0026amp; Fagbayigbo, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2009\u003c/span\u003e). All the Cu values (harmattan season) were higher than the Earth crust (0.05 µg/kg) whereas all the values in wet season were lower. Fe deposits (harmattan season) in all locations vary from 968.91 ± 15.62–1824.75 ± 35.66 µg/kg with ILA and IDO respectively; which were lower than the control (2157.74 ± 36.01 µg/kg) (Ayodele et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). The Fe content (rainy season) are (IGO/IDO) 0.035 ± 0.01–0.051 ± 0.01 µg/kg (Adelokun) and all them, were greater than the control (0.012 ± 0.01 µg/kg) (Ayodele et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). The topsoil (Cd) in the harmattan season ranges from ISA (0.005 ± 0.00–0.009 ± 0.01 µg/kg) BAA and all the values were greater than the control (0.004 ± 0.00 µg/kg) (Ayodele et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). The values of the topsoil (Cd) during rainy season vary from 0.012 ± 0.00–0.016 ± 0.01 µg/kg with their respective locations; IDO and OGB; however, all values lesser than the control (0.058 ± 0.01 µg/kg) (Ayodele et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). However, in both season the Cd values in all locations were greater than the Earth crust (0.0001 µg/kg).\u003c/p\u003e\u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab10\" class=\"InternalRef\"\u003e11\u003c/span\u003e shows the heavy metal contents of sub soil in the dry and wet seasons. However, the Pb values across locations range from (OGB) 0.021 ± 0.01–1.487 ± 0.51 µg/kg (IDO) and all the values across locations were greater than the control (0.010 ± 0.00 µg/kg) (Ayodele et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). In the wet season, the Pb values in all locations vary from (IDO) 0.009 ± 0.00–0.019 ± 0.01 µg/kg (BAA) and all these values were greater than the control (0.007 ± 0.00 µg/kg) (Etim \u0026amp; Adie, 2012). All Pb values across locations in both seasons were greater than the Earth crust (0.014 µg/kg) except IDO (0.009 ± 0.0 µg/kg), ISA (0.012 ± 0.0 µg/kg) and ADE (0.013 ± 0.0 µg/kg) in rainy season. As levels (dry season) from different locations vary from 0.004 ± 0.00–0.010 ± 0.00 µg/kg with their respective locations; OGB, and ADE/BAA. In all these, only OGB (0.004 ± 0.00 µg/kg) was below the control (0.005 ± 0.00) (Bada and Fagbayigbo, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2009\u003c/span\u003e). The As contents (rainy season) of the various locations range from (IDO) 0.003 ± 0.00–0.005 ± 0.00 µg/kg (Ogbere/Iwaye/Baaki Ake/Igodo) and none of these values was found to be lesser than the control (0.002 ± 0.00 µg/kg) (Bada \u0026amp; Fagbayigbo, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2009\u003c/span\u003e). Every value of As (both season) in all locations was lower than the Earth crust value of 0.0015 µg/kg. The values of Ni (harmattan season) in all locations vary from 0.011 ± 0.01–0.025 ± 0.01 µg/kg with OGB and BAA respectively. However, with the exception of OGB (0.011 ± 0.01 µg/kg), no other locations was lower than the control (0.015 ± 0.00 µg/kg) (Olatunde et al., \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). In addition, the Ni levels (rainy season) among the sampled locations vary from 0.000 ± 0.00–0.010 ± 0.00 µg/kg with their corresponding locations; IDO/ADE and BAA/IGO. However, none of these levels was lower than the control (0.000 ± 0.00 µg/kg) (Olatunde et al., \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). All Ni values in both season were lower than the Earth crust (0.08 µg/kg). The Se (dry season) were varying from 0.002 ± 0.00–0.003 ± 0.00 µg/kg with their respective locations; OGB/IWA/ ISA /BAA and IDO/ILA/ADE/ IGO. In all of these locations, none was greater than the control (0.003 ± 0.00 µg/kg) Ayodele et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). The Se values (rainy season) vary from (BAA) 0.000 ± 0.00–0.001 ± 0.00 µg/kg (all other locations). All these values were more or less the same with the control (0.000 ± 0.00 µg/kg) (Ayodele et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). The levels of Cu content (harmattan season) range from (IWA) 2.76 ± 0.26–4.75 ± 0.45 µg/kg (BAA). None of these values was lower than the control (2.73 ± 0.23 µg/kg) (Olatunde et al., \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). The Cu level (rainy season) varies from (IDO) 0.010 ± 0.01–0.034 ± 0.01 µg/kg (OGB) and all of these levels were higher than the control (0.006 ± 0.00 µg/kg) (Olatunde et al., \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). The Earth crust value (0.050 µg/kg) lower than all the Cu values in all locations in harmattan season but higher than all the Cu values across locations in rainy season. Furthermore, Fe content (harmattan season) varies from (1GO) 853.30 ± 5.3–1795.75 ± 19.7 µg/kg (IDO) and none of these was higher than the control (1963.27 ± 16.2 µg/kg) (Etim \u0026amp; Adie, 2012). Fe content (rainy season) ranges from 0.030 ± 0.01–0.040 ± 0.01 µg/kg with the corresponding locations; IDO and BAA. However, none of these locations was found to be lower in Fe contents than the control site (0.009 ± 0.01 µg/kg) (Etim \u0026amp; Adie, 2012). The Cd levels (harmattan season) of the various sampled locations fell between (ISA/ILA) 0.005 ± 0.00–0.007 ± 0.00 µg/kg (ADE) and none of these values were lower than the control site (0.004 ± 0.00 µg/kg) (Etim \u0026amp; Adie, 2012). Finally, the Cd levels (harmattan season) vary from (IDO) 0.008 ± 0.00–0.011 ± 0.00 µg/kg (BAA/IGO) and none of the Cd levels in all locations were lesser than the control site (0.003 ± 0.00 µg/kg) (Etim \u0026amp; Adie, 2012). All the Cd values in all locations (both season) were greater than the Earth crust value (0.0001 µg/kg).\u003c/p\u003e\u003cp\u003eTable\u0026nbsp;\u003cspan refid=\"Tab11\" class=\"InternalRef\"\u003e12\u003c/span\u003e is the T-test data for heavy metal concentrations of soil at dry and wet season in all locations. The result of the analysis shows that there was insignificant difference between the mean of the Pb in all locations (0.11 µg/kg) in the harmattan season and that of the rainy season (0.02 µg/kg); although, the harmattan season mean was higher than the harmattan season. There was significant difference between the mean of the As level (0.01 µg/kg) in the harmattan season and the rainy season (0.01 µg/kg). Although, the mean of harmattan season and rainy season are almost the same. The Ni mean of all locations (0.01 µg/kg) in harmattan season was significantly different from that of the rainy season (0.01 µg/kg) but in actual fact they were the same in both seasons. Se mean of all locations was 0.02 µg/kg in harmattan season and was insignificantly different from the mean of all locations in rainy season (0.07 µg/kg). However, rainy season mean was greater than of the mean of the harmattan season. The mean of Cu for all locations (3.57 µg/kg) in harmattan season was insignificantly different from that of the rainy season (3.38 µg/kg). However, the harmattan season mean was greater than that of the rainy season. The analysis of Fe mean shows that in the harmattan season, it was (1460.17 µg/kg). Also, it was significantly different from that of the rainy season (1059.26 µg/kg). More so, the harmattan season mean was higher than that of the rainy season. Lastly, the mean of the Cd in all locations (0.01 µg/kg) lesser in the hamattan season than the wet season (0.01 µg/kg) although there was insignificant difference between the two.\u003c/p\u003e\u003cp\u003eFigure \u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e depicts heat map of heavy metal; that there is a very strong positive correlation in the level of heavy metals between Control and all the locations. This means that the heavy metals in all the locations have not been seriously affected by quarry activities because all the locations have very high positive correlation with the control location. However, this is explained by Appendix 27 that the correlation between the heavy metals in control and OGB is 0.9999, between control and IWA is 0.999, between control and IDO is 0.9992, between control and ISA is 0.9993, between control and ILA is 0.9999 between control and ADE is 0.9998, between control and BAA is 1, between control and IGO is 0.9999. Table\u0026nbsp;\u003cspan refid=\"Tab12\" class=\"InternalRef\"\u003e13\u003c/span\u003e shows that 87.764% of the variation in the heavy metals is explained by the first principal component, while 100% are explained by the first two principal components. Thus, the variation in the heavy metals in the locations are explained by quarry activities and any other environmental factor as shown in Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e. Figure\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e is the biplot of heavy metals in the locations, and it shows that the control has the same variation with all the other locations, but its variation is the closet to that of BAA and OGB. Appendix 8 is the scree plot of heavy metal in the location, and it shows that the first principal component has explained 89.8% of the variation in the heavy metals in all the locations, while the second principal component explained 10.2% of the variation in the heavy metals in all the locations. This implies that quarry activities and any other environmental factor are responsible for the variation in heavy metals in all the locations. Appendix 9 is the Cos2 of variables to dimension-1-2 plot of heavy metals in the locations, and it shows that the first two principal components combined affect the variation in ADE most, followed by ILA, IWA, IDO, ISA, IGO, Control, BAA and the least affected is OGB.\u003c/p\u003e\u003cp\u003eAppendix 10 is a heat map of trace metal and it shows that there is a high positive correlation between\u0026nbsp;Zn and Mg, Zn and Si, Zn and Al, Mg and Al, and Si and Al. More so, there is a weak positive correlation between Mg and K.\u0026nbsp;On the other hand, there is a weak negative correlation between\u0026nbsp;Mg and Si, Si and K, and Al and K (Appendix 28). Appendix 11 shows that 74.3% of the variation in the trace metals have been caused by an unobserved factor (other environmental factor). K is positively affected by quarry activities, while Zn, Mg, Silicon and Al are negatively affected by it.\u0026nbsp;\u003c/p\u003e\u003cp\u003eAppendix 12 is a heat map of heavy metal and it shows that there is a high positive correlation between\u0026nbsp;As and Cu, Se and Cu, Se and Fe, and between Cu and Fe. More so, there is a weak positive correlation between Pb and Se, Pb and Cu, Pb and Fe, As and Ni, As and Se, As and Fe, and between Ni and Cd.\u0026nbsp;On the other hand, there is a weak negative correlation between\u0026nbsp;Pb and As, Pb and Ni, Pb and Cd, As and Cd, Ni and Se, Ni and Cu, Ni and Fe, Se and Cd, Cu and Cd, and between Fe and Cd (Appendix 29). Appendix 13 shows that 78.5% of the variation in the heavy metals have been caused by an unobserved factor. Ni and Cd are positively affected by quarry activities, while As, Cu, Se, Fe and Pb are negatively affected by it.\u003c/p\u003e\u003cp\u003eTable 14 illustrates the pollution index of trace metal in topsoil (harmattan and rainy seasons). In harmattan season, Zn ranges from OGB (0.85 - 1.17). BAA. OGB (0.85), IWA (0.95), IDO (0.97), ISA (0.98), ILA (0.89), and IGO (0.92) were polluted with Zn lowly while ADE (1.11) and BAA (1.17) were moderately. \u0026nbsp; The pollution index of Mg (0.51) in IWA is the lowest, while BAA (2.37) is the highest; however, IWA (0.51), IDO (0.27), and ISA (0.76) were lowly polluted, while the rest were moderately polluted with Mg. The ILA (0.17), ADE (0.17), and BAA (0.18), and IGO (0.17) were lowly polluted with silicon, while the rest locations (1.19 – 1.61), OGB and IDO respectively were moderately polluted. With the exception of OGB (0.92) that the pollution with Al was low, the rest locations were within IWA (1.11 – 1.41) BAA and the pollution with Al were moderate. All locations, ILA (0.57 – 0.86) OGB/BAA were lowly polluted with K, while IWA, IDO, and ISA were 1.00 each (moderately polluted with K). In the wet season, Zn in all locations range from 3.00 – 6.00, OGB/IWA/BAA and ILA respectively and they were all considerably polluted with Zn. Mg in all locations, ISA/ ILA (38.00 – 45.00) IWA; hence, all were very highly polluted with Mg. OGB (0.14) lowly polluted with Si; IWA (1.43), IDO (1.29), ISA (1.29), ADE (1.14), and BAA (1.43) were moderately polluted with Si and ILA (4950.29) and IGO (4962.57) were very highly polluted with Si. \u0026nbsp;Al in all locations range from IGO (3.00 – 5.25) IDO/BAA, all were considerably polluted with Al. Furthermore, the K pollution index in OGB (1.00), ISA (1.67), and BAA (1.33) were moderately polluted with K, whereas IWA (64.67), IDO (76.00), ILA (60.67), ADE (72.00), and IGO (56.33) were very highly polluted with K (Hassan, 2023b; Olatunde et al.\u003cem\u003e,\u0026nbsp;\u003c/em\u003e2020). \u0026nbsp;\u003c/p\u003e\u003cp\u003eTable 15 demonstrates the pollution index of trace metals in sub soil (dry and wet season). In dry season, the soils in OGB (0.86), IWA (0.95), IDO (0.94), ISA (0.97), ILA (0.84) and IGO (0.96) were lowly polluted with Zn, while ADE (1.07) and BAA (1.11) were moderately polluted with Zn. The soil in IWA (0.53), IDO (0.36), ISA (0.72) were lowly polluted with Mg, while OGB (2.25), ILA (2.28), ADE (2.53), BAA (1.83), and IGO (2.39) were moderately polluted with Mg. \u0026nbsp;The soils were moderately polluted with Si in OGB (1.18), IWA (1.35), IDO (1.63), and ISA (1.46) while they were lowly polluted in ILA (0.17), ADE (0.17), BAA (0.18), IGO (0.16). The pollution indices of the Al range from OGB (0.92 – 1.41) BAA; however, except Ogbere (lowly polluted), all other locations soil were moderately polluted. With the exception of OGB, IWA, IDO, and ISA (1.00 each) and the pollution of K were moderate, other locations were 0.71 each; thus the pollution of K there were low. In the wet season, the pollution indices Zn across locations range from 4.00 – 6.00; IDO and OGB/ADE respectively; hence, the pollution of Zn in the soils around these localities were considerable. The pollution index of Mg in all locations was 3.33 each (considerably polluted), with the exception of BAA and IGO that were 6.67 each (very highly polluted). The pollution index of Si ranges from IDO/ISA (1.00 – 1.50) BAA, except ILA (8,300.00), and IGO (8,500.00); therefore, the rest locations were moderately polluted while ILA and IGO were very highly polluted with Si. Al ranges from 1.57 – 2.00; ILA/ADE and IWA/BAA/ IGO respectively; hence, all locations were polluted moderately. All locations pollution indices range from ILA (3.00 – 5.00) ADE, with the exception of ISA (170.00) and BAA (210.00); hence, all locations were considerably polluted, while ISA and BAA were very highly polluted with K (Hassan, 2023b; Olatunde et al.\u003cem\u003e,\u0026nbsp;\u003c/em\u003e2020).\u003c/p\u003e\u003cp\u003eTable 16 illustrates the pollution index of heavy metals in topsoil (harmattan and rainy season). In the harmatan season; the soil around the quarries across locations are moderately polluted with Pb. Soils \u0026nbsp; around IWA (1.00), IDO (1.20),ISA(2.00), ADE (2.20), BAA (2.24) and IGO (2.20) were moderately polluted, \u0026nbsp;ILA (3.18) was considerably polluted, and OGB (0.8) was lowly polluted with As. However, the soil in OGB (0.70) was lowly polluted, IWA (1.10), IDO (1.35), ISA (1.13), ILA (2.35), ADE (1.91), BAA (2.18), and IGO (2.20) were moderately polluted with Ni. All locations were lowly polluted with Se, except ILA (1.41) and IGO (1.00) that moderately polluted. The soils in all locations were moderately polluted with Cu. The Fe in the surrounding the soils across locations were low (pollution). All the locations surrounding soils were moderately polluted with Cd. Furthermore, in the rainy season; the soil around all the locations were moderately polluted with Pb. All the soils around the locations were considerably polluted with the As, except ILA (7.00) and BAA (7.00) that were very highly polluted. IWA, IDO, and ADE were lowly polluted (0.4) with Ni, whereas OGB (11.2), ISA (9.9), ILA (10.9), BAA (13.9), and IGO (14.9) were very highly polluted with Ni. However, no deposit of Se was notice around the soils across locations. \u0026nbsp;IDO (2.1), ISA (1.7), ILA (2.4), ADE (2.3), and IGO (2.3) were moderately polluted, whereas OGB (3.0), IWA (3.0), and BAA (3.2) were considerably polluted with Cu. The soil in the following location OGB (3.6), IWA (3.8), ISA (3.5), ILA (3.3), ADE (4.3) and BAA (3.6) were considerably polluted, while IDO (2.9), and IGO (2.9) were moderately polluted with Fe. All the pollution index of the Cd in all locations was 0.2 each except Ogbere (0.3),\u0026nbsp;which means they were lowly polluted\u0026nbsp;(Hassan, 2023b; Olatunde et al.\u003cem\u003e,\u0026nbsp;\u003c/em\u003e2020).\u003c/p\u003e\u003cp\u003eTable 17 illustrates pollution index of heavy metals in subsoil (harmattan and rainy season). In the harmattan season, OGB (2.10), IWA (2.60), ISA (1.70), ILA (2.50), ADE (2.90), and IGO (2.60) were moderately polluted, whereas BAA (3.10) and IDO (148.7) were considerably and very highly polluted respectively with Pb. The As in all locations range between OGB (8.00) – ADE/ BAA (2.00) this implies that all locations were very highly polluted with As. However, with the exception of OGB (0.73), and ISA (0.98) that were lowly polluted, other locations were moderately polluted with Ni. All locations (6.67 - 10.0) were very highly polluted with Se. Cu pollution indices across locations range between OGB (1.03 – 1.74) BAA; hence, the soil around the quarries were moderately polluted with Cu. The quarries in all locations pollute the soils around them with Fe lowly with the values range between ILA (0.43) – IDO (0.91). The Cd pollution index across locations range between ILA / IGO (1.25) – ADE (1.75); hence, all locations were moderately polluted with Cd. In rainy season; the Pb across locations range between IDO (1.29 - 2.71) BAA; thus, all locations were moderately polluted. As across locations were between IDO (1.50 – 2.50) OGB IWA, BAA, and IGO; thus all locations were moderately polluted. In all locations there were no iota of Ni deposition as all locations were 0.00 (pollution index). Likewise, Se deposition were 0.00 (pollution index) across locations. In Cu pollution index, except IDO (1.67), all other locations were between IWA (4.17 – 5.67) OGB; hence, IDO was moderately polluted, while all other locations were considerably polluted with Cu. \u0026nbsp;All the Fe pollution indices across locations range between 3.33 – 4.44, with IDO and BAA respectively; hence, all locations were considerably polluted. With the exception of IDO (2.67), the other Cd pollution indices across locations range from 3.00 – 3.67, IWA/ISA/ILA and BAA/IGO respectively; thus, the Cd pollution at IDO was moderate, while the rest locations were considerable (Hassan, 2023b; Olatunde et al.,\u003cem\u003e\u0026nbsp;\u003c/em\u003e2020).\u0026nbsp;\u003c/p\u003e\u003cp\u003eTable 18 illustrates the ecological risk index of heavy metals in topsoil (harmattan and rainy season). In the harmattan season, Pb ranges across locations from IDO (7.50 – 14.59) ILA/BAA; this signifies that ecological risk of Pb across locations were low. \u0026nbsp;The As level (8.00 – 31.00), OGB and ILA respectively; this implies that ecological risk across locations were low. The ecological risk indices of Ni range from OGB (3.53 – 11.77) ILA; thus low ecological risk across the location. \u0026nbsp;Cu ranges across locations (5. 20 – 8.79) IWA and ILA respectively, hence ecological risk level is low across the board. \u0026nbsp;The Cd ranges across locations from ISA (37.00 – 69.00) IGO; thus, ISA (37.00), and IDO (39.00) have low ecological risk, while the rest locations have moderate ecological risk. In the rainy season, the Pb ecological risk indices range from IDO (7.0 – 13.0) BAA; this implies the ecological risk levels in all locations were low. \u0026nbsp;As ranges from IDO (40.00 – 70.00) ILA/ BAA, which means the ecological risk levels in all the locations were moderate. Ni across locations with ecological risk indices (2.0 - 69.0), IDO and BAA respectively; IWA (4.0), IDO (2.0) and ADE (4.0) were having low ecological risk levels, while the rest locations were moderate. Cu (8.5 – 16.0) had low ecological risk. \u0026nbsp;Cd in all locations was 6.00 each, with the exception of OGB (9.00); this implies that all locations had low ecological risk levels (Maanan et al.,\u003cem\u003e\u0026nbsp;\u003c/em\u003e2014; Olatunde \u003cem\u003eet al.,\u0026nbsp;\u003c/em\u003e2020).\u0026nbsp;\u003c/p\u003e\u003cp\u003eTable 19 shows ecological risk index (ERI) of heavy metals in subsoil (harmattan and rainy season). In the harmattan season, Eri of Pb across locations (8.17- 15.5), ISA and BAA respectively, except IDO (743.5); this implies that all locations had low ecological risk, while IDO was very high. ERI of As across location (80.00 – 400.00), OGB and ADE/BAA respectively; this implies that OGB (80), IWA (100.0), IDO (100.0), and ISA (98.0) had considerable ecological risk, ILA (196.0) and IGO (320.0) were having high ecological risk, and ADE and BAA were 400.0 each (very high ecological risk). Ni (ERI) range from ILA (2.30 – 14.0) IDO; this implies that all locations had low ecological risk of Ni. Furthermore, Cu (ERI) were between 1.38 – 8.34, with IDO and ISA respectively; this means that all locations had low ecological risk. The Cd (ERI) ranges from ISA (15.63 – 52.50) ADE; however, ISA (15.63), ILA (18.75) and IGO (31.25) had low ecological risk; while OGB, IWA, IDO, and BAA Ake were 45.00 each and ADE (52.59) had moderate ecological risk. In the rainy season, the Pb in the soil of IDO (6.43) was the lowest, while BAA (13.57) was the highest in term of ERI; hence, all locations had low ecological risk. Regarding the As, the ERI ranges from IDODE (15.00 - 25.00) OGB/IWA/BAA/IGO; this implies that all the locations had low ecological risk. However, Ni (ERI) in all locations (0.00); hence, Ni has no ecological risk at all across locations. The Cu in the soil of the IDO (8.33) is the lowest, while OGB (28.33) is the highest in term of ERI; thus, all locations had low ecological risk. Finally, the Cd (ERI) ranges IDO (80.00 – 110) BAA/ IGO; however, all without exception had considerable ecological risks (Maanan et al.,\u003cem\u003e\u0026nbsp;\u003c/em\u003e2014; 2020\u0026nbsp;Hassan, 2023 b; Olatunde et al.). \u0026nbsp;\u003c/p\u003e\u003cp\u003eTable 20 demonstrates\u0026nbsp;Igeo\u0026nbsp;of trace metals in topsoil (harmattan and rainy season). In the harmattan season, Zn\u0026nbsp;(I geo)\u0026nbsp;in all locations (-0.35 – (-0.82), with BAA and OGB respectively; this implies that all locations were unpolluted. The Mg\u0026nbsp;(Igeo)\u0026nbsp;in all locations (-2.48 - 0.66), with IDO and BAA respectively. However, IDO (-2.48), IWA (-1.55), and ISA (-0.99) signify that the soil in these locations were unpolluted with Mg, while the rest location soils were\u0026nbsp;unpolluted - moderately polluted. The Igeo of Si in all the locations range from ILA (-3.17 - 0.10) IDO; which means all locations were unpolluted, with the exception of IDO (0.10) that was unpolluted - moderately polluted. The Igeo of Al in all the locations range from OGB (-0.71 – (-0.09) BAA; this implies that all locations were unpolluted with Al. The Igeo of K ranges (– 0.81 - (-0.58), with OGB/BAA and IWA/IDO respectively; however, all the locations can be interpreted as unpolluted. In the rainy season, the Igeo of Zn across locations (1.00 – 2.00), with OGB/IWA/ BAA and ILA respectively; hence, all the locations could be interpreted as moderately polluted. All the Igeo of Mg across the locations range from IGO (4.37 – 4.91) IWA; which can be interpreted as strongly - very strongly polluted with Mg in all the locations. The Si (Igeo) in all locations (-3.39 – 11.69), with OGB and IGO respectively; thus all locations were unpolluted with Si, except ILA (11.68), and IGO (11.69) that were very strongly polluted with Si. However, the Al (Igeo) across locations (1.00 – 1.81), with IGO and IDO/BAA respectively; this implies that all the locations were moderately polluted with Al. In addition, K (Igeo) across locations range from OGB (-0.58 – 5.66) IDO; this implies that OGB (-0.58) and BAA (-0.17) were unpolluted, ISA (0.15) was unpolluted - moderately polluted, while IWA (5.43), IDO (5.66), ILA (5.34), ADE (5.58), and IGO (5.23) were very strongly polluted (Hassan, 2023 b;\u0026nbsp;Nouri\u0026nbsp;\u0026amp;\u0026nbsp;Haddioui, 2016).\u0026nbsp;\u003c/p\u003e\u003cp\u003eTable 21 shows the geo – accumulation index of trace metals in subsoil (harmattan and rainy season). In the harmattan season, the Zn (Igeo) across the locations from\u0026nbsp;ILA - BAA (-0.84 – (-0.43) respectively; hence, all the locations were unpolluted with Zn.\u0026nbsp;The Igeo of Mg across locations range from IDO (-2.05 – (0.75) ADE; this implies that IWA (-1.51), IDO (-2.05), ISA (-1.05) were unpolluted, and the rest locations were unpolluted - moderately polluted of Mg. The Igeo of Si in all locations range from IGO - IDO (-3.21- 0.12) respectively. Except IDO (0.12) that was\u0026nbsp;unpolluted - moderately polluted, all other locations were unpolluted with Si.\u0026nbsp;\u0026nbsp;Al (Igeo) ranges from OGB (-0.68 – (-0.19) BAA; thus all the locations were unpolluted with Al. The K (Igeo) of OGB, IWA, IDO and ISA were\u0026nbsp;-0.58 each, while ILA, ADE, BAA and IGO were -1.07 each; hence, none of these locations was polluted with K. \u0026nbsp;In the rainy season Zn ranges from IDO (1.42) – OGB/ADE (2.00); this implies that all locations were\u0026nbsp;moderately polluted with Zn. Igeo of Mg \u0026nbsp;in all locations were\u0026nbsp;1.15 each, except BAA and IGO that were 2.15 each; \u0026nbsp; this signifies that all locations were\u0026nbsp;moderately polluted, whereas\u0026nbsp;BAA and IGO were\u0026nbsp;moderately - strongly polluted with Mg. \u0026nbsp;The Si Igeo ranges from IDO/ISA (-0.58 - 12.47) IGO; this means that OGB (-0.26), IWA (-0.26),\u0026nbsp;IDO (-0.58), ISA (-0.58) ADE (-0.58) and BAA (-0.00) were unpolluted but ILA (12.43) and IGO (12.47) were\u0026nbsp;very strongly polluted with Si. Furthermore, the Igeo of Al across locations were 0.07 - 0.42, with ISA/ILA/ADE, and IWA/BAA/IGO respectively; this implies that all locations were unpolluted with Al. The Igeo of K ranges from OGB/ IWA/IDO (1.42 - 7.13) BAA; this means that OGB, IWA, IDO, ILA, ADE and IGO were moderately polluted, whereas BAA Ake (7.13) and ISA (6.82) very strongly polluted with K (Hassan, 2023 b; Nouri\u0026nbsp;\u0026amp;\u0026nbsp;Haddioui, 2016).\u003c/p\u003e\u003cp\u003eTable 22 illustrates the Igeo of heavy metal in top soil (harmattan and rainy season). In the harmattan season, the Pb (Igeo) across locations were 0.00 - 0.96, with IDO and BAA respectively, this means that all locations were\u0026nbsp;unpolluted - moderately polluted\u0026nbsp;with Pb. \u0026nbsp;Igeo of As across locations were -0.91 - 0.68, with OGB and BAA respectively; this means that OGB (-0.91), IWA (-0.58), and IDO (-0.32) were unpolluted, while the rest locations were\u0026nbsp;unpolluted - moderately polluted. The Ni (Igeo)\u0026nbsp;across locations were -1.09 - (-0.09), with OGB and ADE/BAA respectively; this means that all locations were unpolluted with Ni. However, the Igeo of Se across locations were -1.58 – (-1.00), with OGB/ADE/IWA/BAA and\u0026nbsp;IWA/IDO/ISA/ILA/IGO respectively; hence, all locations were unpolluted with the Se. The Cu (Igeo) across locations vary from\u0026nbsp;-0.53 - 0.26, with IWA and\u0026nbsp;BAA respectively; this can be interpreted as unpolluted - moderately polluted for\u0026nbsp;ADE\u0026nbsp;(0.16) and\u0026nbsp;\u0026nbsp;BAA (0.26), while the rest locations were unpolluted with Cu. The Fe Igeo across location were -1.74 – (-0.83), which implies that all locations were unpolluted with Fe. The Igeo of Cd across locations vary from ISA (-0.26) – BAA (0.58); this implies that ISA (-0.26) was unpolluted, while the rest locations were\u0026nbsp;unpolluted - moderately polluted with Cd. In the rainy season, the Pb (Igeo) in all locations were vary from IDO (-0.10) – BAA (0.79), this implies that IDO (-0.10), and ADE (-0.00) were unpolluted, while the rest locations were\u0026nbsp;unpolluted - moderately polluted with Pb. The Igeo of As across locations were IDO (-0.17) – ILA/BAA (0.64); which implies that IDO was unpolluted and the rest locations were unpolluted - moderately polluted with As. The Ni (Igeo) in all locations vary from IWA/IDO/ADE (-0.58) – IGO (7.33), which means IWA, IDO, and ADE were unpolluted, while OGB (7.22), ISA (7.14), ILA (7.19), BAA (7.31) and IGO (7.33) were very strongly polluted with Ni. Se (Igeo) in all locations were 0.00; this implies that all locations were unpolluted with Se. The Cu (Igeo) across locations vary from IDO (0.56) – BAA (1.10), this can be interpreted as IDO (0.56), ISA (0.65), ILA (0.82), ADE (0.61), and IGO (0.61) were unpolluted - moderately polluted, while OGB(1.00), IWA (1.00), and BAA (1.10) were moderately polluted with Cu. Fe (Igeo) across locations vary from IDO/IGO (0.96) – ADE (1.50) , these can be \u0026nbsp;interpreted as \u0026nbsp;unpolluted - moderately polluted for IDO (0.96), and IGO (0.96) , while the remaining six locations were moderately polluted with Fe. \u0026nbsp;The Igeo of Cd across locations vary from IDO/ISA (-2.86) – OGB (-2.44); hence, all locations were unpolluted with Cd (Hassan, 2023 b; Nouri\u0026nbsp;\u0026amp;\u0026nbsp;Haddioui, 2016).\u003c/p\u003e\u003cp\u003eTable 23 illustrates the Igeo of heavy metal in subsoil (harmattan and rainy Season). In the harmattan season, the Pb (Igeo) in all locations vary from ISA (0.18) – IDO (6.63), this implies that ISA (0.18), OGB (0.49), IWA (0.79), ILA (0.74), ADE (0.95), and IGO (0.79) were\u0026nbsp;unpolluted - moderately polluted, BAA (1.05) was moderately polluted, while IDO (6.63) was very strongly polluted with Pb. The Igeo of As in all locations vary from OGB (-0.91) – ADE/BAA (0.42), this implies that OGB (-0.91), IWA (-0.58), IDO (-0.58), ISA (-0.10), ILA (-0.10) were unpolluted, while ADE (0.42),\u0026nbsp;BAA (0.42) and IGO (0.09) were\u0026nbsp;unpolluted - moderately polluted with As. The Ni (Igeo) across locations vary from OGB (-1.03) – BAA (0.15); this implies that OGB (-1.03), IWA (-0.32), IDO (-0.10), and ISA (-0.58) were unpolluted, while ILA (0.03), ADE (0.09), BAA (0.15) and IGO (0.10) were unpolluted - moderately polluted with Ni. Igeo of Se across the locations were\u0026nbsp;-1.17 – (-0.58), with OGB/IWA/ISA/BAA and IDO/ILA/ADE/IGO respectively; this implies that all the locations were unpolluted with Se. Igeo of Cu across locations were -0.57 - 0.21, with IWA and BAA respectively; this implies that OGB (-0.54),\u0026nbsp;IWA (-0.57),\u0026nbsp;IDO (-0.36), ISA (-0.26), ILA (-0.26) and IGO (-0.21) were unpolluted, while ADE (0.01), BAA (0.21) were unpolluted - moderately polluted with Cu. The Igeo of Fe across locations vary from ILA (-1.79) - IDO (-0.71); hence, all the locations were unpolluted with Fe. The Cd (Igeo) across the locations vary from ISA/ILA (-0.26) – ADE (0.22); this signifies that ISA and ILA were unpolluted while the rest location were unpolluted - moderately polluted with Cd. However, in the rainy season, the Pb (Igeo) in all locations vary from IDO (-0.22) – BAA (0.86), this implies that IDO was unpolluted, while the remaining locations were unpolluted - moderately polluted with Pb. Igeo of As in IDO (0.00) was the lowest, while OGB /IWA/ BAA (0.74) was the highest; thus all the locations were unpolluted - moderately polluted with As. The Ni (Igeo) across locations was 0.00 each; hence, they were unpolluted with Ni. Likewise, Igeo of Se across locations was 0.00 each; thus all locations were unpolluted with Se. The Cu (Igeo) in all locations were IDO (0.15) – OGB (1.92); thus with the exception of IDO that was unpolluted - moderately polluted, the remaining locations were moderately polluted with Cu. The Igeo of Fe across locations vary from IDO (1.15) – BAA (1.57); thus all locations were moderately polluted with Fe. IDO (0.83) had the lowest Igeo of Cd, while BAA/IGO (1.29) had the highest; however, except IDO that was unpolluted - moderately polluted, the remaining locations were moderately polluted with Cd (Nouri\u0026nbsp;\u0026amp;\u0026nbsp;Haddioui, 2016).\u003c/p\u003e\u003cp\u003eTable 24 demonstrates the EFI of heavy metals in topsoil (harmattan and rainy Season). In the harmattan season, the Pb (EFI) across locations vary from IDO (1.77) – ILA (4.83); which means that IDO (1.77) and ISA (1.97) were deficient - minimal, while the rest locations were\u0026nbsp;moderate enriched with Pb. As (EFI) in all locations were vary from IWA (1.31) – ILA/IGO (4.01); thus IWA (1.31), OGB (1.37), IDO (1.42), and ISA (1.99) were deficient – minimal, while ILA (4.01), ADE (3.43), BAA (3.64), and IGO (4.01)\u0026nbsp;were\u0026nbsp;moderate enriched with As. Ni (EFI) across locations (1.20 - 2.75), OGB and ILA respectively, this can be interpreted as OGB (1.20), IWA (1.69), IDO (1.60), and ISA (1.32) were deficient – minimal, while IIA (2.75), ADE (2.20), BAA (2.14), and IGO (2.47) were moderate enriched with Ni. The EFI of Se in all locations range from BAA (0.76) – ILA (1.67), this connotes that all locations were deficient – minimal enriched with Se. \u0026nbsp;The EFI of Cu in all locations range from IWA (1.36) – ILA (3.23); this connotes that OGB (1.90), IWA (1.36), IDO (1.38), ISA (1.51) were deficient – minimal, while the remaining four locations were moderate enriched with Cu. \u0026nbsp; The Cd (EFI) in all locations vary from ISA (1.56) - OGB/BAA (3.41); this means that ISA (1.56), IDO (1.77), IWA (1.96) were deficient – minimal, while the remaining five locations were moderate enriched with Cd. In the rainy season, the Pb (EFI) in all locations were ADE (0.35) – BAA (0.74), hence, all locations were deficient – minimal enriched with Pb. \u0026nbsp;The As (EFI) across locations vary from IDO (0.46) – ILA (0.70); thus, all locations were deficient – minimal enriched with As. \u0026nbsp;The Ni (EFI) across locations range ADE (0.24) – IGO (82.97); this means that ADE (0.24), IWA (0.27), and IDO (0.34) were deficient – minimal, while remaining five locations were extremely high enriched with Ni. The Se (EFI) were 0.00 across the board; hence, all locations were deficient - minimal enriched with Se. The Cu (EFI) across the locations were\u0026nbsp;0.54 - 0.92, with ADE and BAA respectively; this signifies that all locations were deficient – minimal enriched with Cu. However, the Cd (EFI) across locations were\u0026nbsp;0.05 – 0.08, with ADE and OGB/IGO respectively; hence, all the locations were deficient – minimal enriched with Cd (Kolawole et al.\u003cem\u003e,\u0026nbsp;\u003c/em\u003e2018; Toth et al., 2016).\u003c/p\u003e\u003cp\u003eTable 25 illustrates the EFI of heavy metals in subsoil (harmattan and rainy season). In the harmattan season, the Pb (EFI) in all locations vary from ISA (1.97) – IDO (162.57), this means that ISA (1.97) was deficient – minimal;\u0026nbsp;IWA (3.14), OGB (3.51), ADE (4.68), BAA (4.62) and IGO (4.84) were moderate; ILA (5.75) was significant,\u0026nbsp;while\u0026nbsp;IDO (162.57) was extremely high enriched with Pb. The EFI of As across locations were\u0026nbsp;1.09 - 3.23, with IDO and ADE respectively;\u0026nbsp;this means that OGB (1.34), IWA (1.21), IDO (1.09), and ISA (1.62) were \u0026nbsp;deficient – minimal; while ILA (3.22), ADE (3.23), BAA (2.98), and IGO (2.98) were moderate enriched with As. The Ni (EFI) across the locations vary from ISA (1.16) - ILA (3.53); thus, ISA (1.16), OGB (1.22), IWA (1.45), and IDO (1.53) were deficient – minimal; while ILA (3.53), ADE (2.58), BAA (2.48), and IGO (2.98) were moderate enriched with Ni. The Se (EFI) across the locations range from ISA (0.77) – ILA (2.30), this signifies that all locations were deficient – minimal; except ILA (2.30) that was moderate enriched with Se. \u0026nbsp;The EFI of the Cu vary from IWA (1.22) – ILA (2.89); thus, IWA (1.22), OGB (1.72), IDO (1.28), and ISA (1.45) were deficient – minimal; while ILA (2.89), ADE (2.44), BAA (2.59) and IGO (2.41) were moderate enriched with Cu. In addition, the Cd (EFI) across locations were\u0026nbsp;1.45 - 2.88,\u0026nbsp;with ISA and ILA respectively; hence, the IWA (1.81), IDO (1.64), and ISA (1.45) were deficient – minimal; while OGB (2.50), ILA (2.88), ADE (2.83), and BAA (2.23),and IGO (2.33) were moderate enriched with Cd. In the rainy season, the Pb (EFI) across locations range IDO (0.39) – BAA (0.61); hence, all locations were deficient – minimal enriched with Pb. EFI of the As across locations vary from IDO (0.45) – IWA/IGO (0.70); hence, all the locations were deficient – minimal enriched with As. \u0026nbsp;EFI of Ni were 0.00 across the board; these mean that all locations were deficient – minimal enriched with Ni. Likewise, EFI of Se were 0.00 across the board; thus, all locations were deficient – minimal enriched with Se. Furthermore, the EFI of the Cu vary from IDO (0.50 - 1.55) IGO; these can be interpreted as all locations were deficient – minimal enriched with Cu. The EFI of Cd across locations vary from IDO (0.80 - 1.03) IGO; which imply that all locations were\u0026nbsp;deficient – minimal enriched with Cd (Kolawole et al.,\u003cem\u003e\u0026nbsp;\u003c/em\u003e2018; Toth et al., 2016)\u0026nbsp;\u003c/p\u003e"},{"header":"CONCLUSION","content":"\u003cp\u003eThough there were increase in heavy metal depositions in some locations, because of the quarry events but they were never outrageous because\u0026nbsp;they were within the Earth crust value but higher than the control site. However those that were above the Earth crust values were topsoil Pb, As, Ni, Se, Cu, Fe, and Cd \u0026nbsp;in all location (harmattan and rainy season); except \u0026nbsp;in the dry season, that As and Ni (OGB), Se and Fe (all locations) and Cu (rainy season) in all locations. Furthermore, there was significant difference in the mean of the Zn, Mg, Si, in all locations between the harmattan and rainy. But, there was no significant difference in the mean of Al, K in all location between the harmattan season and rainy season.\u0026nbsp;The correlation between control site and OGB, IWA, IDO, and ISA are very strong and positive. On the other hand, the correlation between control site and ILA, ADE, BAA, and IGO are positive but very weak. There is a very strong positive correlation in the level of heavy metals between control and all the locations. There was no significant difference between the means of the Pb, Se, Cu, and Cd in all locations in the dry season and the rainy season. There was significant difference between the mean of the As, Ni, Fe (all location) in the harmattan season and rainy season\u0026nbsp; \u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;The pollution levels such as low and moderate are assumed to be insignificant; hence, they could be under control or may not pose serious impact on the soil. However, in the harmattan season (topsoil), all locations either polluted lowly or moderate with \u0026nbsp;one stipulated trace metals or another, whereas, in the rainy season, all locations were polluted with Zn (considerably), Mg (very highly), \u0026nbsp;Al (considerably) and IGO was very highly polluted with Si and K. \u0026nbsp;In the harmattan and rainy season, the subsoils (all locations) were either polluted lowly or moderately with certain one trace metals or others with the exception of the following in the rainy season; all locations were polluted with Zn (considerably), and Mg (considerably) with the exception of BAA \u0026nbsp;and IGO that were very highly polluted Mg, ILA and IGO were very highly polluted with Si, K (ILA, OGB, IWA, IDO, ADE and IGO) were considerably polluted, while ISA and BAA were very highly polluted with K.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eTopsoil (harmattan season); ILA was considerably polluted with As, while in the wet season; all locations were considerably polluted with the As, except ILA and BAA that were very highly polluted, OGB, ISA , ILA, BAA, and IGO were very highly polluted with Ni, OGB, IWA, and BAA were considerably polluted with Cu. OGB, IWA, ISA, ILA, ADE and BAA were considerably polluted with Fe. No deposit of Se was noticed around the soils across all locations. \u0026nbsp;In the subsoil (harmattan\u0026nbsp;season); BAA considerably and IDO very highly polluted with Pb, All locations were very highly polluted with As and Se, and all locations were considerably polluted with Cd.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAll analysed heavy metal in all locations were either had low or moderate ecological risk in topsoil (harmattan and rainy seasons). Whereas all analysed heavy metal in all locations were either had low or moderate ecological risk in subsoil (harmattan and rainy seasons) with the exception of dry season; Pb in IDO (very high), OGB, IWA, IDO, and ISA \u0026nbsp;had considerable, ILA, and IGO had (high ecological risk), and ADE and BAA had (very high ecological risk) of As. All locations without exception had considerable ecological risks of Cd (rainy season)\u003c/p\u003e\n\u003cp\u003eThe Igeo of trace metal in topsoil (harmattan and rainy seasons) were either unpolluted or moderately polluted with one stipulated trace metal or the others in all locations; except\u0026nbsp;that in harmattan season, all locations were strongly - very strongly polluted with Mg, ILA, and IGO were very strongly polluted with Si, and IWA, IDO, ILA, ADE, and IGO were very strongly polluted with K. \u0026nbsp;In addition,\u0026nbsp;geo \u0026ndash; accumulation index of trace metal in subsoil (harmattan and rainy seasons) were either unpolluted or moderately polluted with one stipulated trace metal or the others in all locations, except in the wet season, that BAA and IGO were\u0026nbsp;moderately - strongly polluted with Mg, ILA,\u0026nbsp;and IGO were\u0026nbsp;very strongly polluted with Si, and BAA and ISA were very strongly polluted with K.\u0026nbsp;Furthermore, \u0026nbsp;geo \u0026ndash; accumulation index of heavy metal in top soil (harmattan and rainy seasons) were either unpolluted or moderately with one stipulated heavy metal or the others in all locations, with the exception of harmattan season that\u0026nbsp;OGB, ISA , ILA, BAA, and IGO were very strongly polluted with Ni. The Igeo of heavy metal in subsoil (harmattan and rainy seasons) were either unpolluted or moderately with one specific heavy metal or the others in all locations with the exception of\u0026nbsp;IDO in the harmattan season, that was very strongly polluted with Pb.\u003c/p\u003e\n\u003cp\u003eThe EFI of heavy metals in topsoil (harmattan and rainy seasons) shows that the soil in all locations were either deficient, minimal or moderately enriched with one specific heavy metal or the others, except in wet season that OGB, ISA, ILA, BAA, and IGO\u0026nbsp;were extremely high enriched with Ni. \u0026nbsp;The Enrichment Factor Index (EFI) of heavy metals in subsoil (harmattan and rainy seasons) shows that the soil in all locations were either deficient, minimal or moderately enriched with one stipulated heavy metal or the others, except ILA that was significant,\u0026nbsp;while\u0026nbsp;IDO was extremely high enriched with Pb in the harmattan season.\u003c/p\u003e\n\u003cp\u003eHence, there is need for proactive action to be taken on the Pb not to spread to other locations and also other heavy metals that were within the Earth crust limit could be curtailed so as not to go out of the control. However,\u0026nbsp;the trace metals in ILA, ADE, BAA and IGO are suspected to have been affected by quarry activities. Thus, the variation in the trace metals in the locations are explained by only one unobserved variable, which could be traced to quarry events in the area.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eIn addition, the surrounding soils of the quarries had been polluted with different metals at various levels. It is therefore recommended that regulatory actions should be taken by the necessary governmental regulatory bodies in the affected localities to mitigate against soil pollution. Moreover, there should be re \u0026ndash; assessment \u0026nbsp; and revalidation of the Environmental Impact Assessment (EIA) studies carried out at the inception of the operations by the quarries operators so as to ascertain where the problem comes from because no mitigation was observed to have been putting \u0026nbsp;in place to cushion the effect of their activities in most quarry sites visited.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eFunding:\u0026nbsp;\u003c/strong\u003eNo funding was received for conducting this study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests: \u0026nbsp;\u003c/strong\u003eThe author certifies that he has no affiliations with or involvement in any organization or entity with any financial interest or non-financial interest in the subject matter or materials discussed in this manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval:\u0026nbsp;\u003c/strong\u003eNot applicable\u003cstrong\u003e.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData availability:\u003c/strong\u003e All data generated or analysed during this study are included in this published article [and its supplementary information files].\u0026nbsp;\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eThe corresponding author is the only author. He is responsible for the conceptualization of the investigation, all the fieldwork, laboratory analyses, and the writing of the manuscript.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eAdeyanju, E., \u0026amp; Okeke, C. (2019). Exposure effect to cement dust pollution: a mini review. \u003cem\u003eSN Applied Science, \u003c/em\u003e1 (1), 1572\u003c/li\u003e\n\u003cli\u003eAlloway, B.J. (1995). \u003cem\u003eHeavy metals in soils\u003c/em\u003e (2nd edition). Blackie Academic and Professional, London\u003c/li\u003e\n\u003cli\u003eAyodele O.J., Shittu, O.S., \u0026amp; Balogun, T. (2014). Heavy metal pollution assessment of granite quarrying operations at Ikole-Ekiti, Nigeria. \u003cem\u003eInternational Journal of Environmental Monitoring and Analytical, \u003c/em\u003e2(6), 333-339. http:// doi. Org/10.11648/j.ijema.20140206.16. 26 \u0026ndash; 35\u003c/li\u003e\n\u003cli\u003eBada, B.S., \u0026amp; Fagbayigbo, B.O. (2009). 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Heavy metals in agricultural soils of the European Union with implications for food safety. \u003cem\u003eEnvironment International\u003c/em\u003e, 88, 299 \u0026ndash; 309.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Assessment, Ogun state, Pollution, Quarry, Risk, Soil","lastPublishedDoi":"10.21203/rs.3.rs-4269665/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4269665/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eQuarry is a mining industry through which construction materials are extracted. The investigation is on the pollution risk assessment of the nearby soil of the quarries in Ogun State, Nigeria. Topsoil and subsoil (Forty - Eight) samples were collected from ADE, BAA, OGB, IDO, IGO, ILA, ISA, and IWA (dry and wet seasons) and analysed for K, Mg, Si, As, Se, Ni, and Pb using standard procedures. Pollution level was assessed using the following indices; Pollution (PI), Ecological risk (ERI), and Geo-accumulation (Igeo). Topsoil (west season); all locations were very highly polluted with Mg, and IGO (very highly) polluted with Si and K. Subsoils (west season); BAA and IGO (Mg), ILA and IGO (Si), and ISA and BAA (K) were very highly polluted. Topsoil (wet season) ILA and BAA (As), and OGB, ISA, ILA, BAA, and IGO (Ni) were very highly polluted. In the subsoil (dry season), all locations were very highly polluted with As and Se. In subsoil (dry season); IDO (Pb), and ADE and BAA (As) had very high ecological risk (ER); Igodo had high ER of Pb. Topsoil Igeo (wet season); Mg in all locations (strongly - very strongly) polluted, ILA and IGO (Si), IWA, IDO, ILA, ADE, and IGO (K) were very strongly polluted. Subsoil Igeo (wet season) ILA and IGO (Si), and BAA and ISA (K) were very strongly polluted. Topsoil Igeo (wet season); OGB, ISA, ILA, BAA, and IGO (Ni) were very strongly polluted. Surrounding soils (polluted).\u003c/p\u003e","manuscriptTitle":"Pollution Risk Assessment of the Soil Near the Quarries in Ogun State, Nigeria","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-06-14 10:59:34","doi":"10.21203/rs.3.rs-4269665/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"86937972-9c6b-4176-ad8d-a50681c9b8c2","owner":[],"postedDate":"June 14th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-07-23T13:36:19+00:00","versionOfRecord":[],"versionCreatedAt":"2024-06-14 10:59:34","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4269665","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4269665","identity":"rs-4269665","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}