Assessment of Environmental Effects of Kirkuk Landfill's Leachate on Soil Pollution

Assessment of Environmental Effects of Kirkuk Landfill's Leachate on Soil Pollution | 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 Assessment of Environmental Effects of Kirkuk Landfill's Leachate on Soil Pollution Maali Mahmood, Isam omran, Maher Kadim This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6571175/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 The environmental effects of landfill leachate on the dump site and surrounding soil were investigated in this study. To assess the levels of soil contaminants, Seven test locations were selected. The physical, chemical, and biological contaminants in soil and leachate were assessed using standard techniques. The soil pollution indices such as PLI, CF, and Igeo were used to assess Soil quality. Soil maps have been predicted using GIS techniques. The nine-month test period ran from February to November 2024. The results demonstrated a significant influence of leachate on soil properties contingent upon leachate concentrations. The Leachate Pollution Index (LPI) findings for leachate samples varied between 25.43 and 40.52. Also, the TOC, SO 4 − 2 , Cl − , and phenol concentrations exceeded the limits established by WHO guidelines. At multiple testing locations, the levels of heavy metals in the soil were higher than allowed, except for the Pb element, which was below the allowable limit. The quantified concentrations of these elements adhered to the sequence: Ni > Cr > Cu > Pb. According to PLI, the soil at the testing sites was at the polluted level for heavy metals in S1, S2, S3, S4, and S5. According to CF and Igeo, Ni and Cr elements have contaminated the soil through a distance of 800 meters from the landfill. Correlation analysis showed a substantial link between most factors. Pollutant concentrations decrease with distance from the landfill site due to the significant negative correlation between distance and parameters. The research suggests employing customized pipe networks to limit leachate leaks from landfill cells and current methods to treat leachate before it reaches the soil to reduce contamination. Pollution Load Index (PLI) Leachate pollution index (LPI) Geo-accumulation Index (Igeo) GIS ArcMap Special analysis IDW correlation matrix analysis Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 7 1. Introduction The substantial amount of municipal solid waste (MSW) produced by urbanization and population increase is a major environmental hazard. This trash significantly harms soil health, water, plants, and humans. Nearly 1.3 billion metric tons of municipal solid waste were generated globally in 2025; estimates indicate that amount might increase to nearly 2.2 billion metric tons. This large amount of trash is a major problem, especially in emerging and low-income countries. Industrial, agricultural, service, commercial, and residential operations, as well as common items discarded by the general population, are some of the sources of municipal solid waste (MSW)[ 1 ], [ 2 ], [ 3 ]. Landfilling is regarded as the most economical and ecologically sustainable way for solid waste disposal when contrasted to other processes such as composting, combustion, and gasification[ 4 ]. Nevertheless, Leachate is generated because of biodegradation and different physical, chemical, and biological interactions[ 5 ]. Leachate is any liquid seeped from decomposing waste of dissolved or suspended materials[ 6 ]. As a result, household and municipal waste decomposition generates many hazardous materials, including toxic metals, organic pollutants, and microbes[ 7 ]. Leachates may infiltrate the soil and aquatic systems, polluting natural ecological resources (land and water)[ 8 ]. Therefore, inadequate landfill leachate management may adversely affect the environment and human health [ 9 ]. The toxic elements of trash disrupt the regular makeup of the soil, potentially degrading the topsoil and polluting the subsoil. Heavy metals such as Fe, Cu, Cd, Ni, Pb, and Zn elements, as well as microbes and dangerous substances, are present in leachate from decomposed solid waste[ 1 ], [ 10 ], [ 11 ]. The United States Environmental Protection Agency (USEPA) has designated certain heavy metals as priority control pollutants due to their restricted degradability, bioaccumulation, and toxicity[ 10 ], [ 12 ]. Heavy metals in the soil may result in agricultural contamination and reduced soil fertility, thereby endangering ecological security, food safety, and human health[ 13 ]. Leachates from municipal solid waste that affect soils must be carefully and scientifically studied to make a good management plan to stop soil degradation and lower the risks of too much trash. In this way, the leachate pollution index[ 14 ], [ 15 ]. The Geo-accumulation Index (Igeo) and the Pollution Load Index (PLI) were developed to aid in the management of polluted soils [ 16 ], [ 17 ]. Recently, numerous academics released studies on the effects of landfills on soil. For instance, the researcher [ 18 ]stated that the enrichment factor (EF) values indicated a moderate enrichment category attributable to human activities. In contrast, the contamination factor (CF) values reflected a low to moderate degree of contamination. (PLI) results for the three landfill sites reveal that the soil at the Kirkuk landfill is burdened by contamination from pollutants originating in landfill leachates. Researchers [ 19 ] discovered that soluble salts such as Na and K from landfills significantly impacted the soil. Consequently, the soil's electrical conductivity reached 6.37 ds/m, surpassing the permissible limit by six times. With the exception of the elements Fe and Al, which remained noticeably higher than permitted levels, all heavy metals were below permissible limits. The impact of municipal landfills on soil concentrations of heavy metals, such as lead, nickel, copper, and chromium, was examined in the study. [ 20 ] Results indicated that the concentrations of all components decreased with increasing distance from the dump. Pollution levels ranged from low to highly high across all soil samples, with chromium exhibiting the most significant concentrations relative to other elements. The study is to examine the physical, chemical, and biological characteristics as well as the heavy metal concentration of leachate samples from the landfill site and soil samples from the area between the landfill cell and the nearest residential area (TazaKhurmatu City). In order to investigate the effects of leachate leakage on soil quality and suitability for human use, it also aims to determine the two pollution indices: the Pollution Load Index (PLI) and Geo-accumulation Index (Igeo) for soil samples and the Leachate Pollution Index (LPI) for leachate samples. Also, the association between the parameters pollution indicators and the distance between the dump and the closest residential area was also determined by analyzing the results using a Pearson correlation matrix. 2. Study Area The ​landfill site is located within the geographical boundaries of Kirkuk Governorate. The Kirkuk Governorate is 90 km southeast of Erbil and 240 km north of Baghdad in northeastern Iraq. The population is to be around 1,726,409, and the entire area is to be 9,679 square kilometers, according to the Planning Ministry of Iraq in 2021. The Kirkuk Governorate's physical position in Iraq is shown in Fig. 1. The area has a semi-arid climate marked by intense summers and mild, humid winters, with an average annual rainfall of 250–320 mm. The sanitary landfill has a single cell of 300 by 600 m with an average depth of 4 m, a primary treatment basin for leachate, and a capability to handle about 1000 tons of waste daily. The landfill is located around 3 km east of Tazkhurmato and 18 km south of the southern periphery of Kirkuk City. The operational design of the facility specifies a ten-year duration for the landfill. Since its establishment in 2008, the landfill has used resources above its designated capacity. The location was chosen to illustrate its effect on soil quality inside the landfill and adjacent regions beyond its lifespan. Consequently, the Universal Transverse Mercator (UTM) coordinate system designates the landfill site with the following coordinates: longitude (442937.32) and latitude (3907013.9). 3. Methods Seven sites were chosen to assess soil pollutant levels in the landfill and its vicinity, determined by the proximity of the landfill cell to the residential area, a depth of 1.5 m. as seen in Figure. (2). Leachate Samples were collected in a 2.0-litre pre-cleaned polyethylene container, maintained at 4°C in the incubator. Samples of soil were gathered, labeled in accordance with the study protocol, sealed in plastic bags, and brought to the lab. The collected samples were analyzed using APHA Standard Methods (23rd Edition). The current research monitors leachate and soil parameters by using Garmin GPS 72TM, novAA 800 atomic absorption spectrometer (heavy metals), VELP BOD EVO Sensor, HI1285-51 electrode, HI839150COD Reactor, HI83399-01Water & Wastewater Multiparameter (with COD) Photometer and pH meter, and UV-Visible Spectrophotometer (190 to 1100 nm). The most probable number (MPN) approach was used for the biological investigation to ascertain the overall bacterial count. The solid waste leachate pollution index (LPI) was determined at the sanitary landfill site using standard formulas and figures[ 14 ], [ 15 ]. While The Pollution load index PLI was computed using the following Eq. (1) $$\:PLI={(CF1*CF2*CF3\dots\:\dots\:.CFn)}^{\raisebox{1ex}{$1$}\!\left/\:\!\raisebox{-1ex}{$n$}\right.}\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\left(1\right)$$ Where: CF is the contamination factor, which is calculated by using Eq. (2), and n is the number of elements: $$\:CF=Cmetal/Cbackground\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\left(2\right)$$ Where: C metal is the measuring concentration of the heavy metal in the soil sample, and C background is the standard concentration of the heavy metal in the background sample. It is important to emphasize that PLI values were evaluated based on the categories given in [ 16 ], [ 21 ], as follows: CF Values are: CF 6 Very High, while PLI Values are: 0 indicates Unpolluted, < 1 signifies Baseline Level, while ≥ 1 denotes Polluted. Additionally, the Geo-accumulation index (Igeo) is computed by using equations (3) [ 21 ], [ 22 ]. $$\:Igeo={\text{log}}_{2}(Cmetal/1.5Cbackground\left)\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\right(3)$$ Igeo was categorized into seven classes, as described in Table 1 . Table 1 Categorization of Geo-accumulation Index (Igeo) I geo I geo grade Pollution Case 5 Extremely Contaminated The Geographic Information System GIS ArcMap, 10.8.2, was also used to predict groundwater quality maps. The results were analyzed using a special analysis tool called Inverse Distance Weighting Interpolation (IDW). The results were then statistically analyzed to find the correlation between parameters using the Pearson matrix correlation method in Microsoft Excel. 4. Results and Discussion This research evaluated four leachate samples from the edges of the sanitary landfill cell, with their overall average denoted as sample 1. Additionally, two leachate samples from the middle of the cell were analyzed, and a sample similarly represented their overall average. Table 2 displays the concentrations of primary contaminants in the untreated landfill leachate. According to[ 23 ]LPI readings surpassed the allowable threshold (7.378). Table 2 Values of LPI Analysis Parameter Sample 1 Sample 2 Pi 1 * Pi 2 * Wi ** Pi*Wi1 Pi*Wi2 pH 7.6 8.3 5 5 0.055 0.275 0.275 Cr, (mg/l) 0.433 0.618 4 5 0.064 0.256 0.32 Fe, (mg/l) 7.713 3.685 5 5 0.045 0.225 0.225 Cu, (mg/l) 10 5.4 100 50 0.05 5 2.5 Pb, (mg/l) 0.436 0.2583 5 4 0.064 0.32 0.256 Ni, (mg/l) 1.376 1.209 8 8 0.052 0.416 0.416 NH 3 + -N, (mg/l) 1116 0.93 100 5 0.051 5.1 0.255 BOD, (mg/l) 13020 7920 70 60 0.061 4.27 3.66 COD, (mg/l) 31000 22010 85 80 0.062 5.27 4.96 Phenol, (mg/l) 28.9 17.4 35 25 0.057 1.995 1.425 Coliform, (cfu/ml) 19.3 14.5 33 25 0.052 1.716 1.3 Total 0.613 24.843 15.592 LPI 1 40.52692 * Pi: (represent the subindex score) from LPI curves & **Wi: (represent the weight for the ith pollutants variable) from LPI weight tables according to the [ 14 ], [ 15 ] \(\:LPI=\sum\:_{i=1}^{m}Wi\:Pi/\sum\:_{i=1}^{m}Wi\) …. (4) LPI 2 25.43556 4.1 Evaluation of the Leachate Contaminants in Soil The soil at the evaluation locations (S1, S2, and S3) beside the landfill exhibited substantial leachate pollutants, including TOC, SO 4 − 2 , Cl − , and phenol. These concentrations began to dissipate further away from the landfill site, Table 3 and Fig. 3-b. Sites S1, S2, S3, and S4 exhibited significant contamination with heavy metals, such as Ni and Cr. Their concentrations began approaching the permissible level in the remaining locations. The Cu concentration slightly exceeded the allowable limit in sites S1, S2, and S3, while it was within the acceptable limit in the remaining locations. The concentration of Pb remained within the allowable parameters at all locations. The observed concentrations of these elements adhered to the sequence: Ni > Cr > Cu > Pb, whereas the others were negligible. The data comparison in Table 3 and Fig. 3-a supports the above statement by showing the leachate contaminants in the soil. Table 3 presents the measurements of the inorganic element Fe and electrical conductivity (EC). Testing locations inside and close to the landfill cell showed increased concentrations, but demonstrated a drop in sites far from the cell. Table 3 Values of the Testing Sites' Physical, Chemical, and Biological Soil Parameters. Parameters allowable limit S1 S2 S3 S4 S5 S6 S7 pH 6.5–8.5 7.78 7.74 7.69 7.91 7.89 8.1 7.95 EC (mS/m) 570 961 817 719 722 745 623 617 TOC (%) 2 13.74 13.92 11.42 8.75 6.41 5.93 5.11 Cr (mg/kg) 5 43.741 35.217 27.147 15.636 8.212 6.725 5.175 Cu (mg/kg) 10 12.473 12.395 11.362 10.927 10.122 9.226 8.437 Ni (mg/kg) 10 95.331 90.924 56.313 32.736 26.319 19.735 11.924 Pb (mg/kg) 2 0.981 0.857 0.661 0.543 0.498 0.447 0.334 Fe (mg/kg) 5000 12645 12420 9859 8324 6231 5975 5360 SO 4 (mg/kg) 400 1476 1402 1328 1233 1103 988 912 Cl(mg/kg) 500 1247 1176 1023 943 817 744 627 Phenol (mg/kg) 0.54 3.565 3.115 2.847 2.386 1.972 1.640 0.774 Total number of bacteria (No./g) 10 10 23*10 6 27*10 6 43*10 6 59*10 6 71*10 6 93*10 6 122*10 6 4.2 Assessment of Soil Contamination by Heavy Metals The values of the heavy metals examined in soil samples were measured using the pollution load index (PLI). Table (4) and Figures (5 and 6) show that the maximum PLI value was recorded at test sites S1 and S2. The values gradually decreased to S5, within the polluted pollution level. According to PLI classification, S6 and S7 recorded the lowest PLI values within the baseline threshold. Using the Contamination Factor (CF) index, Fig. 4 -b illustrates that the soil is substantially polluted with Ni and Cr components. At the same time, there is minimal contamination from other heavy metals, including Cu and Pb elements. The CF index indicates high contamination levels for Ni and Cu at sites S1 and S2, where the values exceed 6. Contamination levels subsequently decrease to moderate levels at sites S5 and S6. However, Cu and Pb elements consistently show low contamination levels across all testing sites. Figure 4 -a further illustrates that the Igeo values align with the CF indicator values. The findings for Ni and Cr elements showed increased pollution levels. They attained around 2.66 and 2.54 values, respectively, at the closest area to the landfill. Simultaneously, the values recorded in S7 were − 0.33 and − 0.53. All Igeo values for Cu and Pb elements were negative. Table 4 PLI Values for Soil Quality at the Testing Sites Test Location PLI Value PLI Position S1 2.67 Polluted 65 meters from the cell edge S2 2.41 Polluted 125 meters from the cell edge S3 1.84 Polluted 250 meters from the cell edge S4 1.32 Polluted 500 meters from the cell edge S5 1.03 Polluted 800 meters from the cell edge S6 0.86 Baseline level 950 meters from the cell edge S7 0.65 Baseline level 1100 meters from the cell edge 4.3 Correlation Analysis The correlation among all examined parameters, which indicates the statistical correlation among the parameters, has been determined and presented in matrix representation. A correlation matrix for each of the chosen parameters under consideration has been created based on these correlation values. A strong correlation coefficient (close to 1 or -1) indicates a strong association between two variables, whereas a number approaching zero A indicates an absence of correlation between the variables[ 24 ]. According to [ 25 ], values over 0.6 identify the factors with strong correlations. Table (5) and Figure (7) show a strong positive correlation between the elements (EC, TOC, phenol, Cl, SO 4 , Fe, Cr, Cu, Ni, and Pb). It indicates that soil pollution is derived from the same leachate as solid waste landfills but shows a strong negative relationship with distance. The concentration of contaminants often decreases with more distance from the landfill. The pH parameter showed a strong negative correlation; the pollutants inversely affected pH. The PLI decreases with more distance from the landfill site, indicating enhanced soil quality as one nears the subsequent residential area. 5. Conclusions Kirkuk sanitary landfill was selected as the research site due to its importance to the environment, community, and surrounding residential areas. The study sought to clarify the significant substantial influence of solid waste leaching on soil characteristics. The most important results of the research were as follows: High amounts of leachate element contamination (SO 4 -2 , Cl - , TOC, and phenol) were found in the soil of the testing locations near the landfill. However, these levels gradually declined in the test sites farther away. Pollution load index (PLI) results demonstrated that the soil was polluted through a distance 800 m from the landfill at a polluted level according to PLI classification, while the last other testing sets were at the baseline level. The CF and Igeo indices stated that the soil at the testing locations, S1, S2, S3, and S4, is polluted with Ni and Cr. No substantial impact was seen on the level of other heavy metals. The indicator readings decreased progressively at testing locations farther from the landfill site and nearer to the city. The correlation analysis matrix across measurements demonstrates a high association, indicating that pollutant concentrations diminish with increasing distance from the landfill location. The study advocates applying scientific and technical methods to mitigate leachate impacts from sanitary landfills. One way to do this is by using the latest treatment technologies, such as specialized pipe networks, to move the leachate from the landfill cells to safe places to collect and treat it. Abbreviations PH measures how acidic or alkaline a substance is EC electrical conductivity (µS/cm) COD chemical oxygen demand (mg/l) BOD Biochemical oxygen demand (mg/l) TOC Total organic carbon MPN most probable number of bacteria LPI Leachate quality index GIS Geographic information system IDW Inverse distance weighting interpolation PLI Pollution load index CF Contamination Factor Igeo Geo-accumulation Index Declarations Clinical trial number: not applicable. Ethics approval and consent to participate : Not applicable. Consent for publication : Not applicable. Competing interests : The authors declare no competing interests. Data availability The data substantiating the findings reported in this publication are included in the article, and no other data sources are required. The corresponding author will make the datasets available upon a reasonable request. Competing interests The authors declare that they have no competing interests. Funding This research was undertaken without any financial support from public, commercial, or nonprofit funding organizations. Authors’ contributions Conceptualization: Maali SH. Mahmood, Isam I. Omran, Maher A.A Kadim. Data curation: Maali SH. Mahmood, Isam I. Omran, Maher A.A Kadim. Formal analysis: Maali SH. Mahmood, Isam I. Omran, Maher A.A Kadim. Research: Maali SH. Mahmood, Isam I. Omran, Maher A.A Kadim. Methodology: Maali SH. Mahmood, Isam I. Omran, Maher A.A Kadim. Drafting - original draft: Maali SH. Mahmood, Isam I. Omran, Maher A.A Kadim. Writing - proofreading and editing: Maali SH. Mahmood, Isam I. Omran, Maher A.A Kadim. Acknowledgments This work is supported by the Building and Construction Engineering Department Al-Mussaib Technical College, Al-Furat Al-Awsat Technical University, Babylon 51001, Iraq. References S. Yeilagi, S. Rezapour, and F. 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Nithiyanantham, “Groundwater quality around municipal solid waste dump in Tiruchirappalli (South India),” International Journal of Environmental Science and Technology , vol. 16, no. 11, pp. 7375–7392, Nov. 2019, doi: 10.1007/s13762-018-2063-6 . Additional Declarations No competing interests reported. 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-6571175","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":470085157,"identity":"52147396-ecd9-41f6-8dd5-39c4b34e3c82","order_by":0,"name":"Maali Mahmood","email":"data:image/png;base64,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","orcid":"","institution":"","correspondingAuthor":true,"prefix":"","firstName":"Maali","middleName":"","lastName":"Mahmood","suffix":""},{"id":470085158,"identity":"da2ea22a-f979-441f-8da3-f5e47de9d39f","order_by":1,"name":"Isam omran","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Isam","middleName":"","lastName":"omran","suffix":""},{"id":470085159,"identity":"317e90f3-8dc3-418e-aa96-0892d158b90a","order_by":2,"name":"Maher Kadim","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Maher","middleName":"","lastName":"Kadim","suffix":""}],"badges":[],"createdAt":"2025-05-01 10:38:04","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6571175/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6571175/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":84553769,"identity":"0dd24f50-59c6-4c51-9363-eec174a104df","added_by":"auto","created_at":"2025-06-13 11:04:00","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":427478,"visible":true,"origin":"","legend":"\u003cp\u003eLocations of Kirkuk Governorate and the Study Area\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-6571175/v1/9dd4b5a916302d29383c9013.png"},{"id":84552717,"identity":"f0958505-788d-4c66-9b11-30cabd483dfd","added_by":"auto","created_at":"2025-06-13 10:48:00","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":560914,"visible":true,"origin":"","legend":"\u003cp\u003eLocation of Landfill and Testing Sites\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-6571175/v1/de2963fb741411fc714fa754.png"},{"id":84552712,"identity":"654f95fb-475a-49d3-95ee-d2b47bae12dc","added_by":"auto","created_at":"2025-06-13 10:47:59","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":35397,"visible":true,"origin":"","legend":"\u003cp\u003eLeachate Pollutants Values in the Soil at Testing Sites\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-6571175/v1/40543d3ea7d11ab32295b2f9.png"},{"id":84552713,"identity":"c8ffd422-1270-4926-9746-b7cdd078a812","added_by":"auto","created_at":"2025-06-13 10:47:59","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":27019,"visible":true,"origin":"","legend":"\u003cp\u003eSoil Pollution Indices\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-6571175/v1/9738eaf0e6f3f58742c1de75.png"},{"id":84553426,"identity":"af2c5c3c-6285-49e2-adc9-a36ec5e64a7e","added_by":"auto","created_at":"2025-06-13 10:56:00","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":14419,"visible":true,"origin":"","legend":"\u003cp\u003eThe Pollution Load Index of Soil in the Testing Sites\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-6571175/v1/cdeacc5de005e613a786b8f2.png"},{"id":84554792,"identity":"0a04a6be-2eb6-4f52-b1f5-8dabe0c3b008","added_by":"auto","created_at":"2025-06-13 11:12:00","extension":"png","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":38282,"visible":true,"origin":"","legend":"\u003cp\u003ePollutant Concentration Correlation Analysis of Soil in the Testing Sites\u003c/p\u003e","description":"","filename":"7.png","url":"https://assets-eu.researchsquare.com/files/rs-6571175/v1/f2efea702ce27734ca176415.png"},{"id":92573792,"identity":"71e949df-64da-4f4d-8f76-9b79fad19cc0","added_by":"auto","created_at":"2025-10-01 08:09:23","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2091385,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6571175/v1/d9bea8f9-ca6c-4775-b266-5697836e3df3.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"\u003cp\u003eAssessment of Environmental Effects of Kirkuk Landfill's Leachate on Soil Pollution\u003c/p\u003e","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eThe substantial amount of municipal solid waste (MSW) produced by urbanization and population increase is a major environmental hazard. This trash significantly harms soil health, water, plants, and humans. Nearly 1.3\u0026nbsp;billion metric tons of municipal solid waste were generated globally in 2025; estimates indicate that amount might increase to nearly 2.2\u0026nbsp;billion metric tons. This large amount of trash is a major problem, especially in emerging and low-income countries. Industrial, agricultural, service, commercial, and residential operations, as well as common items discarded by the general population, are some of the sources of municipal solid waste (MSW)[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e], [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e], [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. Landfilling is regarded as the most economical and ecologically sustainable way for solid waste disposal when contrasted to other processes such as composting, combustion, and gasification[\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. Nevertheless, Leachate is generated because of biodegradation and different physical, chemical, and biological interactions[\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. Leachate is any liquid seeped from decomposing waste of dissolved or suspended materials[\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. As a result, household and municipal waste decomposition generates many hazardous materials, including toxic metals, organic pollutants, and microbes[\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. Leachates may infiltrate the soil and aquatic systems, polluting natural ecological resources (land and water)[\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. Therefore, inadequate landfill leachate management may adversely affect the environment and human health [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. The toxic elements of trash disrupt the regular makeup of the soil, potentially degrading the topsoil and polluting the subsoil. Heavy metals such as Fe, Cu, Cd, Ni, Pb, and Zn elements, as well as microbes and dangerous substances, are present in leachate from decomposed solid waste[\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e], [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e], [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. The United States Environmental Protection Agency (USEPA) has designated certain heavy metals as priority control pollutants due to their restricted degradability, bioaccumulation, and toxicity[\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e], [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eHeavy metals in the soil may result in agricultural contamination and reduced soil fertility, thereby endangering ecological security, food safety, and human health[\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. Leachates from municipal solid waste that affect soils must be carefully and scientifically studied to make a good management plan to stop soil degradation and lower the risks of too much trash. In this way, the leachate pollution index[\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e], [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. The Geo-accumulation Index (Igeo) and the Pollution Load Index (PLI) were developed to aid in the management of polluted soils [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e], [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. Recently, numerous academics released studies on the effects of landfills on soil. For instance, the researcher [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]stated that the enrichment factor (EF) values indicated a moderate enrichment category attributable to human activities. In contrast, the contamination factor (CF) values reflected a low to moderate degree of contamination. (PLI) results for the three landfill sites reveal that the soil at the Kirkuk landfill is burdened by contamination from pollutants originating in landfill leachates. Researchers [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e] discovered that soluble salts such as Na and K from landfills significantly impacted the soil. Consequently, the soil's electrical conductivity reached 6.37 ds/m, surpassing the permissible limit by six times. With the exception of the elements Fe and Al, which remained noticeably higher than permitted levels, all heavy metals were below permissible limits. The impact of municipal landfills on soil concentrations of heavy metals, such as lead, nickel, copper, and chromium, was examined in the study. [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e] Results indicated that the concentrations of all components decreased with increasing distance from the dump. Pollution levels ranged from low to highly high across all soil samples, with chromium exhibiting the most significant concentrations relative to other elements.\u003c/p\u003e \u003cp\u003eThe study is to examine the physical, chemical, and biological characteristics as well as the heavy metal concentration of leachate samples from the landfill site and soil samples from the area between the landfill cell and the nearest residential area (TazaKhurmatu City). In order to investigate the effects of leachate leakage on soil quality and suitability for human use, it also aims to determine the two pollution indices: the Pollution Load Index (PLI) and Geo-accumulation Index (Igeo) for soil samples and the Leachate Pollution Index (LPI) for leachate samples. Also, the association between the parameters pollution indicators and the distance between the dump and the closest residential area was also determined by analyzing the results using a Pearson correlation matrix.\u003c/p\u003e"},{"header":"2. Study Area","content":"\u003cp\u003eThe ​landfill site is located within the geographical boundaries of Kirkuk Governorate. The Kirkuk Governorate is 90 km southeast of Erbil and 240 km north of Baghdad in northeastern Iraq. The population is to be around 1,726,409, and the entire area is to be 9,679 square kilometers, according to the Planning Ministry of Iraq in 2021. The Kirkuk Governorate's physical position in Iraq is shown in Fig.\u0026nbsp;1.\u003c/p\u003e \u003cp\u003eThe area has a semi-arid climate marked by intense summers and mild, humid winters, with an average annual rainfall of 250\u0026ndash;320 mm. The sanitary landfill has a single cell of 300 by 600 m with an average depth of 4 m, a primary treatment basin for leachate, and a capability to handle about 1000 tons of waste daily. The landfill is located around 3 km east of Tazkhurmato and 18 km south of the southern periphery of Kirkuk City. The operational design of the facility specifies a ten-year duration for the landfill. Since its establishment in 2008, the landfill has used resources above its designated capacity. The location was chosen to illustrate its effect on soil quality inside the landfill and adjacent regions beyond its lifespan. Consequently, the Universal Transverse Mercator (UTM) coordinate system designates the landfill site with the following coordinates: longitude (442937.32) and latitude (3907013.9).\u003c/p\u003e"},{"header":"3. Methods","content":"\u003cp\u003eSeven sites were chosen to assess soil pollutant levels in the landfill and its vicinity, determined by the proximity of the landfill cell to the residential area, a depth of 1.5 m. as seen in Figure. (2). Leachate Samples were collected in a 2.0-litre pre-cleaned polyethylene container, maintained at 4\u0026deg;C in the incubator. Samples of soil were gathered, labeled in accordance with the study protocol, sealed in plastic bags, and brought to the lab.\u003c/p\u003e \u003cp\u003eThe collected samples were analyzed using APHA Standard Methods (23rd Edition). The current research monitors leachate and soil parameters by using Garmin GPS 72TM, novAA 800 atomic absorption spectrometer (heavy metals), VELP BOD EVO Sensor, HI1285-51 electrode, HI839150COD Reactor, HI83399-01Water \u0026amp; Wastewater Multiparameter (with COD) Photometer and pH meter, and UV-Visible Spectrophotometer (190 to 1100 nm). The most probable number (MPN) approach was used for the biological investigation to ascertain the overall bacterial count. The solid waste leachate pollution index (LPI) was determined at the sanitary landfill site using standard formulas and figures[\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e], [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. While The Pollution load index PLI was computed using the following Eq.\u0026nbsp;(1)\u003cdiv id=\"Equa\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equa\" name=\"EquationSource\"\u003e\n$$\\:PLI={(CF1*CF2*CF3\\dots\\:\\dots\\:.CFn)}^{\\raisebox{1ex}{$1$}\\!\\left/\\:\\!\\raisebox{-1ex}{$n$}\\right.}\\:\\:\\:\\:\\:\\:\\:\\:\\:\\:\\:\\:\\:\\:\\:\\:\\left(1\\right)$$\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003eWhere: CF is the contamination factor, which is calculated by using Eq.\u0026nbsp;(2), and n is the number of elements:\u003cdiv id=\"Equb\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equb\" name=\"EquationSource\"\u003e\n$$\\:CF=Cmetal/Cbackground\\:\\:\\:\\:\\:\\:\\:\\:\\:\\:\\:\\:\\:\\:\\:\\:\\:\\:\\:\\:\\:\\:\\:\\:\\left(2\\right)$$\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003eWhere: C\u003csub\u003emetal\u003c/sub\u003e is the measuring concentration of the heavy metal in the soil sample, and C\u003csub\u003ebackground\u003c/sub\u003e is the standard concentration of the heavy metal in the background sample. It is important to emphasize that PLI values were evaluated based on the categories given in [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e], [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e], as follows: CF Values are: CF\u0026thinsp;\u0026lt;\u0026thinsp;1 Low, 1\u0026thinsp;\u0026le;\u0026thinsp;CF\u0026thinsp;\u0026le;\u0026thinsp;3 Moderate, 3\u0026thinsp;\u0026le;\u0026thinsp;CF\u0026thinsp;\u0026le;\u0026thinsp;6 Considerable, CF\u0026thinsp;\u0026gt;\u0026thinsp;6 Very High, while PLI Values are: 0 indicates Unpolluted, \u0026lt;\u0026thinsp;1 signifies Baseline Level, while\u0026thinsp;\u0026ge;\u0026thinsp;1 denotes Polluted.\u003c/p\u003e \u003cp\u003eAdditionally, the Geo-accumulation index (Igeo) is computed by using equations (3) [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e], [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e].\u003cdiv id=\"Equc\" class=\"Equation\"\u003e\u003cdiv format=\"TEX\" class=\"mathdisplay\" id=\"FileID_Equc\" name=\"EquationSource\"\u003e\n$$\\:Igeo={\\text{log}}_{2}(Cmetal/1.5Cbackground\\left)\\:\\:\\:\\:\\:\\:\\:\\:\\:\\:\\:\\:\\:\\:\\:\\right(3)$$\u003c/div\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003eIgeo was categorized into seven classes, as described in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\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\u003eCategorization of Geo-accumulation Index (Igeo)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"3\"\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 \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eI geo\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eI geo grade\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ePollution Case\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u0026lt;\u0026thinsp;0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eUncontaminated\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e1\u0026ndash;2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eModerate Contaminated\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e2\u0026ndash;3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eModerate to high Contaminated\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e3\u0026ndash;4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eHigh Contaminated\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e4\u0026ndash;5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eHigh to Extremely Contaminated\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e5\u0026ndash;6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u0026gt;\u0026thinsp;5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eExtremely Contaminated\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThe Geographic Information System GIS ArcMap, 10.8.2, was also used to predict groundwater quality maps. The results were analyzed using a special analysis tool called Inverse Distance Weighting Interpolation (IDW). The results were then statistically analyzed to find the correlation between parameters using the Pearson matrix correlation method in Microsoft Excel.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e"},{"header":"4. Results and Discussion","content":"\u003cp\u003eThis research evaluated four leachate samples from the edges of the sanitary landfill cell, with their overall average denoted as sample 1. Additionally, two leachate samples from the middle of the cell were analyzed, and a sample similarly represented their overall average. Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e displays the concentrations of primary contaminants in the untreated landfill leachate. According to[\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]LPI readings surpassed the allowable threshold (7.378).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\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\u003eValues of LPI Analysis\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"8\"\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 \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eParameter\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eSample 1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eSample 2\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003ePi 1\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003ePi 2\u003csup\u003e*\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eWi\u003csup\u003e**\u003c/sup\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003ePi*Wi1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003ePi*Wi2\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003epH\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e8.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.055\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.275\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.275\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCr, (mg/l)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.433\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.618\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.064\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.256\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.32\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFe, (mg/l)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7.713\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.685\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.045\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.225\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.225\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCu, (mg/l)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e5.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e100\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e50\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e2.5\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePb, (mg/l)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.436\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.2583\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.064\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.32\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.256\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNi, (mg/l)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.376\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.209\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.052\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.416\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.416\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNH\u003csub\u003e3\u003c/sub\u003e\u003csup\u003e+\u003c/sup\u003e-N, (mg/l)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1116\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.93\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e100\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.051\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e5.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.255\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBOD, (mg/l)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e13020\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e7920\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e70\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e60\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.061\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e4.27\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e3.66\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCOD, (mg/l)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e31000\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e22010\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e85\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e80\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.062\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e5.27\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e4.96\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePhenol, (mg/l)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e28.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e17.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e35\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.057\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.995\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1.425\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eColiform, (cfu/ml)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e19.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e14.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e33\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e25\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.052\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.716\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1.3\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTotal\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"4\" nameend=\"c5\" namest=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.613\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e24.843\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e15.592\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLPI 1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e40.52692\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"6\" morerows=\"1\" nameend=\"c8\" namest=\"c3\" rowspan=\"2\"\u003e \u003cp\u003e* Pi: (represent the subindex score) from LPI curves \u0026amp; **Wi: (represent the weight for the ith pollutants variable) from LPI weight tables according to the [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e], [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]\u003c/p\u003e \u003cp\u003e\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\:LPI=\\sum\\:_{i=1}^{m}Wi\\:Pi/\\sum\\:_{i=1}^{m}Wi\\)\u003c/span\u003e\u003c/span\u003e \u0026hellip;. (4)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLPI 2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e25.43556\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003e4.1 Evaluation of the Leachate Contaminants in Soil\u003c/h2\u003e \u003cp\u003eThe soil at the evaluation locations (S1, S2, and S3) beside the landfill exhibited substantial leachate pollutants, including TOC, SO\u003csub\u003e4\u003c/sub\u003e\u0026thinsp;\u003csup\u003e\u0026minus;\u0026thinsp;2\u003c/sup\u003e, Cl\u003csup\u003e\u0026minus;\u003c/sup\u003e, and phenol. These concentrations began to dissipate further away from the landfill site, Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e and Fig.\u0026nbsp;3-b.\u003c/p\u003e \u003cp\u003eSites S1, S2, S3, and S4 exhibited significant contamination with heavy metals, such as Ni and Cr. Their concentrations began approaching the permissible level in the remaining locations. The Cu concentration slightly exceeded the allowable limit in sites S1, S2, and S3, while it was within the acceptable limit in the remaining locations. The concentration of Pb remained within the allowable parameters at all locations. The observed concentrations of these elements adhered to the sequence: Ni\u0026thinsp;\u0026gt;\u0026thinsp;Cr\u0026thinsp;\u0026gt;\u0026thinsp;Cu\u0026thinsp;\u0026gt;\u0026thinsp;Pb, whereas the others were negligible. The data comparison in Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e and Fig.\u0026nbsp;3-a supports the above statement by showing the leachate contaminants in the soil. Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e presents the measurements of the inorganic element Fe and electrical conductivity (EC). Testing locations inside and close to the landfill cell showed increased concentrations, but demonstrated a drop in sites far from the cell.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\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\u003eValues of the Testing Sites' Physical, Chemical, and Biological Soil Parameters.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"9\"\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 \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eParameters\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eallowable limit\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eS1\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eS2\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eS3\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eS4\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c7\"\u003e \u003cp\u003eS5\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c8\"\u003e \u003cp\u003eS6\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c9\"\u003e \u003cp\u003eS7\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003epH\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e6.5\u0026ndash;8.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e7.78\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e7.74\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e7.69\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e7.91\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e7.89\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e8.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e7.95\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eEC (mS/m)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e570\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e961\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e817\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e719\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e722\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e745\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e623\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e617\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eTOC (%)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e13.74\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e13.92\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e11.42\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e8.75\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e6.41\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e5.93\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e5.11\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eCr (mg/kg)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e43.741\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e35.217\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e27.147\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e15.636\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e8.212\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e6.725\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e5.175\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eCu (mg/kg)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e12.473\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e12.395\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e11.362\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e10.927\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e10.122\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e9.226\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e8.437\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eNi (mg/kg)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e10\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e95.331\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e90.924\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e56.313\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e32.736\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e26.319\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e19.735\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e11.924\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003ePb (mg/kg)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.981\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.857\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.661\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e0.543\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e0.498\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e0.447\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.334\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eFe (mg/kg)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5000\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e12645\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e12420\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e9859\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e8324\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e6231\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e5975\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e5360\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eSO\u003c/b\u003e\u003csub\u003e\u003cb\u003e4\u003c/b\u003e\u003c/sub\u003e\u003cb\u003e(mg/kg)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e400\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1476\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1402\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1328\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e1233\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1103\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e988\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e912\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eCl(mg/kg)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e500\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1247\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1176\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1023\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e943\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e817\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e744\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e627\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003ePhenol (mg/kg)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.54\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.565\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e3.115\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e2.847\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e2.386\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e1.972\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e1.640\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e0.774\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eTotal number of bacteria (No./g)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e10\u003csup\u003e10\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e23*10\u003csup\u003e6\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e27*10\u003csup\u003e6\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e43*10\u003csup\u003e6\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c6\"\u003e \u003cp\u003e59*10\u003csup\u003e6\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c7\"\u003e \u003cp\u003e71*10\u003csup\u003e6\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c8\"\u003e \u003cp\u003e93*10\u003csup\u003e6\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c9\"\u003e \u003cp\u003e122*10\u003csup\u003e6\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003e4.2 Assessment of Soil Contamination by Heavy Metals\u003c/h2\u003e \u003cp\u003eThe values of the heavy metals examined in soil samples were measured using the pollution load index (PLI).\u003c/p\u003e \u003cp\u003eTable\u0026nbsp;(4) and Figures (5 and 6) show that the maximum PLI value was recorded at test sites S1 and S2. The values gradually decreased to S5, within the polluted pollution level. According to PLI classification, S6 and S7 recorded the lowest PLI values within the baseline threshold. Using the Contamination Factor (CF) index, Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e4\u003c/span\u003e-b illustrates that the soil is substantially polluted with Ni and Cr components. At the same time, there is minimal contamination from other heavy metals, including Cu and Pb elements. The CF index indicates high contamination levels for Ni and Cu at sites S1 and S2, where the values exceed 6. Contamination levels subsequently decrease to moderate levels at sites S5 and S6. However, Cu and Pb elements consistently show low contamination levels across all testing sites. Figure\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e4\u003c/span\u003e-a further illustrates that the Igeo values align with the CF indicator values. The findings for Ni and Cr elements showed increased pollution levels. They attained around 2.66 and 2.54 values, respectively, at the closest area to the landfill. Simultaneously, the values recorded in S7 were \u0026minus;\u0026thinsp;0.33 and \u0026minus;\u0026thinsp;0.53. All Igeo values for Cu and Pb elements were negative.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\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\u003ePLI Values for Soil Quality at the Testing Sites\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\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 \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTest Location\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePLI Value\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003ePLI\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003ePosition\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eS1\u003c/b\u003e\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\u003ePolluted\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e65 meters from the cell edge\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eS2\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2.41\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003ePolluted\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e125 meters from the cell edge\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eS3\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.84\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003ePolluted\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e250 meters from the cell edge\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eS4\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.32\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003ePolluted\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e500 meters from the cell edge\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eS5\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003ePolluted\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e800 meters from the cell edge\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eS6\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.86\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eBaseline level\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e950 meters from the cell edge\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eS7\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.65\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eBaseline level\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1100 meters from the cell edge\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003e4.3 Correlation Analysis\u003c/h2\u003e \u003cp\u003eThe correlation among all examined parameters, which indicates the statistical correlation among the parameters, has been determined and presented in matrix representation. A correlation matrix for each of the chosen parameters under consideration has been created based on these correlation values. A strong correlation coefficient (close to 1 or -1) indicates a strong association between two variables, whereas a number approaching zero A indicates an absence of correlation between the variables[\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e]. According to [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e], values over 0.6 identify the factors with strong correlations. Table\u0026nbsp;(5) and Figure (7) show a strong positive correlation between the elements (EC, TOC, phenol, Cl, SO\u003csub\u003e4\u003c/sub\u003e, Fe, Cr, Cu, Ni, and Pb). It indicates that soil pollution is derived from the same leachate as solid waste landfills but shows a strong negative relationship with distance. The concentration of contaminants often decreases with more distance from the landfill. The pH parameter showed a strong negative correlation; the pollutants inversely affected pH. The PLI decreases with more distance from the landfill site, indicating enhanced soil quality as one nears the subsequent residential area.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" width=\"693\" height=\"339\"\u003e\u003c/p\u003e"},{"header":"5. Conclusions","content":"\u003cp\u003eKirkuk sanitary landfill was selected as the research site due to its importance to the environment, community, and surrounding residential areas. The study sought to clarify the significant substantial influence of solid waste leaching on soil characteristics. The most important results of the research were as follows:\u003c/p\u003e \u003cp\u003e \u003col\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003eHigh amounts of leachate element contamination (SO\u003csub\u003e4\u003c/sub\u003e\u003csup\u003e-2\u003c/sup\u003e, Cl\u003csup\u003e-\u003c/sup\u003e, TOC, and phenol) were found in the soil of the testing locations near the landfill. However, these levels gradually declined in the test sites farther away.\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003ePollution load index (PLI) results demonstrated that the soil was polluted through a distance 800 m from the landfill at a polluted level according to PLI classification, while the last other testing sets were at the baseline level.\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003eThe CF and Igeo indices stated that the soil at the testing locations, S1, S2, S3, and S4, is polluted with Ni and Cr. No substantial impact was seen on the level of other heavy metals. The indicator readings decreased progressively at testing locations farther from the landfill site and nearer to the city.\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003eThe correlation analysis matrix across measurements demonstrates a high association, indicating that pollutant concentrations diminish with increasing distance from the landfill location.\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003cspan\u003e \u003cli\u003e \u003cp\u003eThe study advocates applying scientific and technical methods to mitigate leachate impacts from sanitary landfills. One way to do this is by using the latest treatment technologies, such as specialized pipe networks, to move the leachate from the landfill cells to safe places to collect and treat it.\u003c/p\u003e \u003c/li\u003e \u003c/span\u003e \u003c/ol\u003e \u003c/p\u003e"},{"header":"Abbreviations","content":" \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"No\" id=\"Tabd\" border=\"1\"\u003e \u003ccolgroup cols=\"2\"\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 \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003ePH\u003c/div\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003emeasures how acidic or alkaline a substance is\u003c/div\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eEC\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003eelectrical conductivity (\u0026micro;S/cm)\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eCOD\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003echemical oxygen demand (mg/l)\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eBOD\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003eBiochemical oxygen demand (mg/l)\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eTOC\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003eTotal organic carbon\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eMPN\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003emost probable number of bacteria\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eLPI\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003eLeachate quality index\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eGIS\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003eGeographic information system\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eIDW\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003eInverse distance weighting interpolation\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003ePLI\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003ePollution load index\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eCF\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003eContamination Factor\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cdiv class=\"SimplePara\"\u003eIgeo\u003c/div\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cdiv class=\"SimplePara\"\u003eGeo-accumulation Index\u003c/div\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003cbr/\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eClinical trial number:\u0026nbsp;\u003c/strong\u003enot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e: Not applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e: Not applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e: The authors declare no competing interests.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData availability\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe data substantiating the findings reported in this publication are included in the article, and no other data sources are required. The corresponding author will make the datasets available upon a reasonable request.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no competing interests.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis research was undertaken without any financial support from public, commercial, or nonprofit funding organizations.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors\u0026rsquo; contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eConceptualization: Maali SH. Mahmood, Isam I. Omran, Maher A.A Kadim.\u003c/p\u003e\n\u003cp\u003eData curation: Maali SH. Mahmood, Isam I. Omran, Maher A.A Kadim.\u003c/p\u003e\n\u003cp\u003eFormal analysis: Maali SH. Mahmood, Isam I. Omran, Maher A.A Kadim.\u003c/p\u003e\n\u003cp\u003eResearch: Maali SH. Mahmood, Isam I. Omran, Maher A.A Kadim.\u003c/p\u003e\n\u003cp\u003eMethodology: Maali SH. Mahmood, Isam I. Omran, Maher A.A Kadim.\u003c/p\u003e\n\u003cp\u003eDrafting - original draft: Maali SH. Mahmood, Isam I. Omran, Maher A.A Kadim.\u003c/p\u003e\n\u003cp\u003eWriting - proofreading and editing: Maali SH. Mahmood, Isam I. Omran, Maher A.A Kadim.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgments\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis work is supported by the Building and Construction Engineering Department Al-Mussaib Technical College, Al-Furat Al-Awsat Technical University, Babylon 51001, Iraq.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eS. Yeilagi, S. Rezapour, and F. 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Nithiyanantham, \u0026ldquo;Groundwater quality around municipal solid waste dump in Tiruchirappalli (South India),\u0026rdquo; \u003cem\u003eInternational Journal of Environmental Science and Technology\u003c/em\u003e, vol. 16, no. 11, pp. 7375\u0026ndash;7392, Nov. 2019, doi: \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1007/s13762-018-2063-6\u003c/span\u003e\u003cspan address=\"10.1007/s13762-018-2063-6\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\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":"Pollution Load Index (PLI), Leachate pollution index (LPI), Geo-accumulation Index (Igeo), GIS ArcMap, Special analysis IDW, correlation matrix analysis","lastPublishedDoi":"10.21203/rs.3.rs-6571175/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6571175/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe environmental effects of landfill leachate on the dump site and surrounding soil were investigated in this study.\u003c/p\u003e \u003cp\u003eTo assess the levels of soil contaminants, Seven test locations were selected. The physical, chemical, and biological contaminants in soil and leachate were assessed using standard techniques. The soil pollution indices such as PLI, CF, and Igeo were used to assess Soil quality. Soil maps have been predicted using GIS techniques. The nine-month test period ran from February to November 2024.\u003c/p\u003e \u003cp\u003eThe results demonstrated a significant influence of leachate on soil properties contingent upon leachate concentrations. The Leachate Pollution Index (LPI) findings for leachate samples varied between 25.43 and 40.52. Also, the TOC, SO\u003csub\u003e4\u003c/sub\u003e\u0026thinsp;\u003csup\u003e\u0026minus;\u0026thinsp;2\u003c/sup\u003e, Cl\u003csup\u003e\u0026minus;\u003c/sup\u003e, and phenol concentrations exceeded the limits established by WHO guidelines. At multiple testing locations, the levels of heavy metals in the soil were higher than allowed, except for the Pb element, which was below the allowable limit. The quantified concentrations of these elements adhered to the sequence: Ni\u0026thinsp;\u0026gt;\u0026thinsp;Cr\u0026thinsp;\u0026gt;\u0026thinsp;Cu\u0026thinsp;\u0026gt;\u0026thinsp;Pb. According to PLI, the soil at the testing sites was at the polluted level for heavy metals in S1, S2, S3, S4, and S5. According to CF and Igeo, Ni and Cr elements have contaminated the soil through a distance of 800 meters from the landfill. Correlation analysis showed a substantial link between most factors. Pollutant concentrations decrease with distance from the landfill site due to the significant negative correlation between distance and parameters. The research suggests employing customized pipe networks to limit leachate leaks from landfill cells and current methods to treat leachate before it reaches the soil to reduce contamination.\u003c/p\u003e","manuscriptTitle":"Assessment of Environmental Effects of Kirkuk Landfill's Leachate on Soil Pollution","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-06-13 10:47:55","doi":"10.21203/rs.3.rs-6571175/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":"0680db20-1582-40b1-a6bb-643f281cfd43","owner":[],"postedDate":"June 13th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-10-01T08:09:09+00:00","versionOfRecord":[],"versionCreatedAt":"2025-06-13 10:47:55","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6571175","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6571175","identity":"rs-6571175","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}