Assessment of Metal and Heavy Metal Concentrations in the Angola Catchment, Freetown, Sierra Leone

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Monthly water samples were collected from March to December 2024 at three distinct locations: upstream, midstream, and downstream, totalling ten months of data collection. Seven heavy metals were analyzed: arsenic (As), manganese (Mn), copper (Cu), iron (Fe), zinc (Zn), lead (Pb), and chromium (Cr). The results indicated that chromium, and manganese levels consistently exceeded the World Health Organization (WHO) recommended limits. In contrast, lead and arsenic were undetectable at all three sampling sites. These findings raise significant environmental concerns regarding heavy metal contamination, which poses health risks to both aquatic organisms and the local population due to the potential for bioaccumulation. The study underscores the urgent need for enhanced monitoring and regulation of human activities to mitigate the adverse effects of these hazardous metals in water bodies. Heavy metals Water quality Angola Catchment Bioaccumulation Aquatic ecosystem Figures Figure 1 Figure 2 1.0 Introduction Heavy metal pollution is a pressing global environmental issue, with significant implications for human health and ecological integrity. Metals such as lead, cadmium, mercury, and arsenic are of particular concern due to their toxicity, persistence in the environment, and bioaccumulation potential (Alloway, 2013 ; World Health Organization, 2017 ). In urban areas, the discharge of industrial effluents, untreated sewage, and runoff from roads and agricultural fields often leads to elevated levels of these metals in surface water and sediments (Abdallah et al., 2018 ). In Sierra Leone, rapid urbanization and a lack of effective waste management systems exacerbate the risks of heavy metal contamination. Freetown, the capital city, has experienced significant population growth, resulting in increased pressure on local water resources (Kanu et al., 2020 ). This urban sprawl, combined with historical mining activities, raises serious concerns about the potential for heavy metal accumulation in local waterways, including the Angola Catchment. The Angola Catchment is an essential water resource for communities in Freetown, providing water for domestic, agricultural, and recreational purposes. However, the catchment is not only susceptible to pollution from urban runoff but also from nearby industrial activities and mining operations (Mansaray et al., 2019 ). Previous studies have indicated that urban catchments often exhibit elevated heavy metal concentrations due to these anthropogenic influences (Berglund et al., 2020 ). Research has shown that heavy metals can have severe adverse effects on aquatic ecosystems. For instance, lead is known to cause neurological damage in both humans and wildlife, while cadmium is linked to renal dysfunction and skeletal deformities (Cohen et al., 2017 ; Shaker et al., 2021 ). The bioavailability of heavy metals in aquatic systems can also lead to bioaccumulation in the food chain, posing risks to higher trophic levels, including humans (Chowdhury et al., 2019 ). The potential for heavy metal contamination in the Angola Catchment is compounded by the region's socio-economic challenges. Many residents rely on untreated water sources for drinking and cooking, heightening the risk of exposure to harmful substances (United Nations Development Programme, 2019 ). This reliance underscores the importance of assessing water quality to protect public health and promote sustainable development in Freetown. Despite the recognized importance of monitoring heavy metal levels, there is a significant lack of comprehensive data regarding the concentrations of these pollutants in the Angola Catchment. Few studies have systematically examined the extent of contamination or the seasonal variations in heavy metal concentrations (Kanu et al., 2020 ). This gap in knowledge presents a critical need for targeted research to understand the current status of water quality in this vital catchment. This study aims to assess the concentration of heavy metals in both water and sediment samples from the Angola Catchment. By employing rigorous sampling and analytical techniques, this research will provide valuable baseline data that can inform local policymakers and stakeholders about the potential risks associated with heavy metal pollution. Furthermore, understanding the spatial and temporal patterns of contamination will be crucial for effective environmental management. In addition to assessing current heavy metal concentrations, this study will explore potential sources of pollution within the catchment. Identifying key contributors to contamination can help target interventions and improve water quality management practices. The findings will also serve as a critical resource for raising public awareness about the dangers of heavy metal exposure and the importance of environmental stewardship. The significance of this research extends beyond academic inquiry; it has the potential to contribute to the development of strategies aimed at mitigating heavy metal pollution in the Angola Catchment. By addressing the urgent need for data-driven decision-making, this study aspires to support the health and well-being of communities in Freetown while promoting sustainable environmental practices. 2.0 Material and Methods 2.1 Description of the Study Area The Angola Community is located in the eastern part of Freetown, Sierra Leone’s capital, within the Western Area Urban District as shown in Fig. 1 . This residential neighbourhood is characterized by high population density and features a mix of residential homes, small businesses, and local markets that serve the community’s needs. The area is defined by its narrow streets, informal settlements, and a vibrant atmosphere that reflects a blend of modern and traditional Sierra Leonean culture. While some parts of Angola Community lack adequate infrastructure and facilities, housing varies from basic single-story dwellings to more developed multi-story buildings. Residents of Angola Community engage in various local economic activities, including services, agriculture, and trading. However, the neighbourhood faces challenges associated with urbanization, such as limited access to sanitation facilities, electricity, and clean water in certain areas. Like much of Freetown, Angola Community experiences a humid tropical climate, characterized by warm temperatures year-round and a distinct rainy season. Its strategic location near other significant neighbourhoods in Freetown allows for easy accessibility from the city centre and other key areas of the capital. 2.2 Sample and Sampling Procedure Water samples were collected from three distinct locations: upstream, midstream, and downstream. A total of 500 ml clean plastic bottles, each thoroughly rinsed with the water to be sampled, were utilized for this purpose. Sampling took place monthly over a ten-month period, from March to December 2024. At each of the three locations, 500 ml of water was collected for analysis each month. To prevent contamination and waste, each sample was gathered in a new plastic bottle and sealed securely. Following collection, the samples were transported in an ice cooler to the National Laboratory of the Ministry of Water Resources in Freetown for further analysis. 2.3 Laboratory Analyses All parameters, except for lead and arsenic, underwent photometric chemical analysis. The water quality characteristics analyzed included chromium (Cr), zinc (Zn), manganese (Mn), lead (Pb), iron (Fe), and arsenic (As). For the determination of lead and arsenic levels, colorimetric methods were employed using specialized kits designed for these heavy metals. 2.4 Sample and Sampling Procedure Three locations were used to collect water samples: upstream, midstream, and downstream. Using 500 fresh plastic bottles that had been well cleaned with the water to be collected, samples were taken every month for ten months starting from March to December 2024. 500ml of water was taken from each of the three locations for the analyses for each month. To avoid contamination and waste, each sample was taken in a brand-new, fresh plastic bottle and carefully sealed. For analysis, samples were shipped in an ice cooler to the Ministry of Water Resources' National Laboratory in Freetown. 2.5 Water Quality Index Calculation The WQI was calculated using the weighted arithmetic index method of parameter computation. The WQI under consideration is of the following format: $$\:\varvec{W}\varvec{Q}\varvec{I}=\:\:\:\varvec{w}\varvec{i}\varvec{q}\varvec{i}/\sum\:\:\varvec{w}\varvec{i}$$ Where: qi = Quality rating for the i th water quality parameters, Wi = Unit weight for the i th parameters In this study, there were four processes to calculating WQI: The WQI criteria are chosen based on the World Health Organization's drinking water quality requirements (WHO) 2.5.1 Computation of the sub-index of quality rating (qi) Quality rating or sub-index (qi) was determined using the following expression, according to Brown et al., 1972 Where : qi = Quality rating for the i th water quality parameters Va = actual value present of the (i th ) parameter at a given sampling station. Vi = ideal value (0 for all parameters excepts pH 7.0 mg/lit respectively). Vs = standard value 2.5.2 Unit weight (Wi) calculation The suggested standards value of the linked parameters is inversely related to the unit weight (Wi) attributed to various water quality measurements. $$\:{\varvec{W}}_{\varvec{i}}\:=\varvec{K}/\varvec{S}$$ Where: Wi = unit weight for the i th parameters si = standards value for the i th parameters K = relative constant K = 1/1/Sn1,2,3 Table 1: Explain the different classifications of water quality status based on water quality index (Brown et al., 1972) Table 1: Water Quality Classification Based on WQI Value Class WQI Value Water Quality Status I 0-25 Excellent II 26-50 Good Water III 51-75 Fair IV 76-100 Very Poor Water V Above 100 Unsuitable Water 3.0 RESULTS AND DISCUSSIONS 3.1 Temperature The average water temperatures across the three segments of the Angola Catchment are as follows: 28.6°C for the upstream (US) region, 28.52°C for the midstream (MS) region, and 28.39°C for the downstream (DS) region. These measurements are detailed in Tables 1, 2, and 3. Temperature is a crucial parameter in aquatic chemistry, as it influences various chemical processes, including solubility, reaction rates, and biological activity (Wetzel, 2001; Chapman, 1996). 3.2 pH The pH of water is a critical parameter that indicates its acidity or basicity. The pH scale ranges from 0 to 14, with a recommended range of 6.5 to 8.5 for irrigation and drinking purposes (World Health Organization, 2003). Water with a pH below 6.5 is classified as acidic, and decreasing pH values indicate increasing acidity. In the Angola Catchment, pH values range from 6.7 to 7.2, with an average of 6.94 in the upstream region. The midstream region shows pH values from 6.8 to 7.2, averaging 6.98, while the downstream region also ranges from 6.8 to 7.2, with an average of 6.96. These results are depicted in Figure 2 (Mean pH Level in Angola Catchment) and fall within the acceptable limits set by the WHO (6.50–8.50). Similar findings were reported by Fianko et al. (2006), where mean pH values of water samples in the estuary ranged between 6.8 and 7.7, also within the recommended values for domestic use. Both temperature and pH significantly influence the toxicity and solubility of metals in aquatic environments. The relationship between these parameters and metal toxicity is crucial for understanding the health of aquatic ecosystems and assessing potential risks to human health. 3.3 Chromium Chromium concentrations in water samples from the Angola Catchment vary, with levels ranging from 0.07 mg/L to 0.28 mg/L with an average mean of 0.18 mg/L in the upper stream region. The midstream region shows chromium levels between 0.05 mg/L and 0.17 mg/L, averaging 0.08 mg/L. In the downstream region, concentrations range from 0.07 mg/L to 0.26 mg/L, with an average mean of 0.19 mg/L. Except the midstream point of the sampled region, the chromium mean values for both the upper-stream and downstream points of the Angola water, exceed the World Health Organization's (WHO) permissible limit of 0.05 mg/L for drinkable waters, as illustrated in Figure 2b. Chromium (Cr) is a trace element that can exist in several oxidation states, with trivalent (Cr 3+ ) ion, being relatively non-toxic and hexavalent (Cr 6+ ) ion being highly toxic and carcinogenic (Agency for Toxic Substances and Disease Registry, 2018). The elevated levels of parameters obtained in the research executed, raise critical concerns about potentially health risk impacts for communities relying on these water sources for consumption. 3.4 Copper Analysis of water samples reveals that copper concentrations in the Angola Catchment vary across different locations. In the upstream region, copper levels range from 0.06 to 0.08 mg/L, while the midstream point and/or location shows concentrations between 0.061 and 0.088 mg/L. The downstream region has copper levels ranging from 0.058 to 0.069 mg/L, as detailed in Tables 2. The mean copper concentrations recorded are 0.0734 mg/L for the upstream, 0.0746 mg/L for the midstream, and 0.0675 mg/L for the downstream. Importantly, these mean concentrations within the World Health Organization's (WHO) drinking water guideline of 2 mg/L, as illustrated in Figure 2 (c). Copper can pose health risks at elevated levels, including gastrointestinal disturbances and potential liver or kidney damage (López et al., 2020). The findings highlight the need for continuous monitoring and management of copper levels in water sources to safeguard public health. 3.5 Iron In the Angola Catchment, iron concentrations vary across the upstream, midstream, and downstream regions. Specifically, iron levels range from 0.2 to 0.3 mg/L in the upstream, from 0.21 to 0.34 mg/L in the midstream, and from 0.07 to 0.38 mg/L in the downstream region. The mean iron concentrations recorded for these locations are 0.25 mg/L for the upstream, 0.26 mg/L for the midstream, and 0.28 mg/L for the downstream. As illustrated in Figure 5, all measured iron mean concentrations fall well within the World Health Organization's (WHO) recommended limit of 0.3 mg/L. While iron is an essential nutrient for human health, excessive levels can lead to water quality issues, such as discoloration and an undesirable taste (Benoit et al., 2020). Therefore, ongoing monitoring of iron levels is crucial to ensure that they remain within safe limits for consumption and environmental health. 3.6 Manganese In the Angola Catchment, manganese concentrations exhibit variability across different locations. In the upstream region, manganese levels range from 0.3 mg/L to 0.5 mg/L, with an average concentration of 0.44 mg/L. The midstream region shows values ranging from 0.33 mg/L to 0.53 mg/L, averaging 0.48 mg/L, while the downstream region has concentrations from 0.3 mg/L to 0.52 mg/L, with an average of 0.46 mg/L. The mean results from the three sampling points collected over ten months are illustrated in Figure 2 (e). Importantly, the mean manganese concentrations in all three regions exceed the World Health Organization's (WHO) guideline of 0.4 mg/L for drinking water. Comparatively, the mean manganese values found in the Angola Catchment are lower than those reported in similar studies conducted in Kenya, such as those in Winam Gulf, Lake Victoria, where concentrations ranged from 0.05 to 3.276 mg/L (Lalah et al., 2008). Elevated manganese levels can pose health risks, including neurological effects, particularly in vulnerable populations (Kumar et al., 2021). 3.7 Arsenic This recommendation is supported by toxicological and epidemiological data showing that prolonged exposure to drinking water containing arsenic can cause cancer, diabetes, cardiovascular disease, and skin lesions (World Health Organisation, 2017). During monitoring periods, the three sample points recorded zero mean values from March to December, as shown in Table 2. 3.8 Zinc In the Angola Catchment, zinc concentrations vary across different regions. In the upstream area, zinc levels range from 0.3 mg/L to 0.5 mg/L, while the midstream region shows values between 0.3 mg/L and 0.4 mg/L. The downstream region exhibits zinc concentrations ranging from 0.31 mg/L to 0.42 mg/L. The average zinc concentrations for the monitored points are 0.44 mg/L for the upstream, 0.36 mg/L for the midstream, and 0.35 mg/L for the downstream. All measured zinc values are well within the World Health Organization's (WHO) recommended guideline of 3 mg/L for potable water. Zinc is an essential trace element that plays a vital role in various biological processes; however, excessive levels can lead to adverse health effects, including gastrointestinal disturbances and interference with the absorption of other essential minerals (Davis et al., 2020). Continuous monitoring of zinc levels is crucial to ensure water quality and public health safety. 3.9 Lead Lead is a heavy metal that can naturally occur in environmental deposits, potentially contaminating groundwater sources (World Health Organization, 2019). According to the WHO's 2017 guidelines, the acceptable limit for lead in drinking water is no more than 10 micrograms per liter (10 µg/L), equivalent to 0.01 milligrams per liter (0.01 mg/L). In the Angola Catchment, lead concentrations were consistently measured at zero across all sampling points during the monitoring periods, as presented in Tables 2. This absence of detectable lead is promising, indicating that the water quality in this region meets the WHO standards and suggests minimal risk of lead exposure from drinking water sources. However, continuous monitoring is essential, as lead can enter water supplies through aging infrastructure and industrial activities (Graham et al., 2020). Table2: Summary Results for Upper Stream, Middle Stream, and Down Stream at Angola Catchment Upper Stream Middle Stream Down Stream Parameters Min Max Mean Min Max Mean Min Max Mean Temperature 28.1 28.9 28.6 28 28.7 28.52 27.8 28.6 28.4 pH 6.7 7.2 6.94 6.8 7.2 6.98 6.8 7.2 6.96 Chromium 0.06 0.28 0.19 0.05 0.17 0.08 0.07 0.26 0.19 Copper 0.06 0.08 0.07 0.061 0.088 0.072 0.058 0.069 0.068 Iron 0.2 0.3 0.25 0.21 0.34 0.26 0.22 0.38 0.29 Manganese 0.3 0.5 0.45 0.33 0.53 0.48 0.3 0.52 0.47 Arsenic 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Zinc 0.3 0.41 0.35 0.33 0.41 0.36 0.31 0.42 0.35 Lead 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 3a: Water Quality Index Calculation for Angola Upper Stream and Middle Stream Upper Stream Middle Stream SI. No Parameters Standard Values (Si) 1/Si Unit Weight (Wi) Observed Values Quality Rating (qi) Weighted (Wiqi) Parameters Standard Values (Si) 1/Si Unit Weight (Wi) Observed Values Quality (Rating) (qi) Weighted (Wiqi) 1 pH 8.5 0.1176 0.00047 6.94 -4 -0.00188 pH 8.5 0.1176 0.00047 6.98 -1.333 -0.00063 2 Chromium 0.05 20.0 0.08 0.19 380 30.4 Chromium 0.05 20.0 0.08 0.08 160 12.8 3 Copper 2.0 0.5 0.002 0.07 3.5 0.007 Copper 2.0 0.5 0.002 0.072 3.6 0.0072 4 Iron 0.3 3.333 0.0133 0.25 83.33 1.108289 Iron 0.3 3.333 0.0133 0.26 86.67 1.1527 5 Manganese 0.4 2.5 0.01 0.45 112.5 1.125 Manganese 0.4 2.5 0.01 0.48 120 1.2 6 Arsenic 0.01 100 0.4 0.00 0.00 0.00 Arsenic 0.01 100 0.4 0.00 0.00 0.00 7 Zinc 3.0 0.333 0.00133 0.35 11.67 0.01552 Zinc 3.0 0.333 0.00133 0.36 12 0.01596 8 Lead 0.01 100 0.4 0.00 0.00 0.00 Lead 0.01 100 0.4 0.00 0.00 0.00 226.7836 ∑Wi= 0.9071 ∑Wiqi= 32.65393 226.7836 ∑Wi= 0.9071 ∑Wiqi= 15.17523 WQI= 35.998 WQI= 16.73 Table 3b: Water Quality Index Calculation for Angola Down Stream Down Stream SI. No Parameters Standard Values (Si) 1/Si Unit Weight (Wi) Observed Values Quality Rating (qi) Weighted (Wiqi) 1 pH 8.5 0.1176 0.00047 6.96 -2.67 -0.00125 2 Chromium 0.05 20.0 0.08 0.19 380 30.4 3 Copper 2.0 0.5 0.002 0.068 3.4 0.0068 4 Iron 0.3 3.333 0.0133 0.29 96.67 0.19334 5 Manganese 0.4 2.5 0.01 0.47 117.5 1.175 6 Arsenic 0.01 100 0.4 0.00 0.00 0.00 7 Zinc 3.0 0.333 0.00133 0.35 11.67 0.0155 8 Lead 0.01 100 0.4 0.00 0.00 0.00 226.7836 ∑Wi= 0.9071 ∑Wiqi= 31.78939 WQI= 35.05 In the upper stream as shown in Table 3a, the WQI IS 35.998 which shows that the water quality is good. Compared to the upper stream, the middle stream's WQI of 16.73 from Table 3a indicates exceptional water quality. This section's overall WQI is much lower than the upper stream, indicating that the water quality is getting better. The downstream WQI of 35.05 as shown in Table 3b is very similar to the upper stream, indicating that water quality does not improve substantially by the time it reaches the downstream. Certain parameters are above the WHO limits across all three sections of the river (upper, middle, and down streams), with pollutants like chromium, and manganese levels being the key contributors. However, the Middle Stream shows a slight improvement compared to the upper and down Streams. Conclusions The assessment of heavy metals in the Angola Catchment Area revealed the presence of several hazardous metals, notably chromium, and manganese, at concentrations exceeding the World Health Organization's (WHO) drinking water standards. These elevated levels pose a significant health risk to the local community, which may be exposed to contaminated water through drinking, agriculture, and fishing activities. While arsenic and lead were not detected in any samples, the high concentrations of other metals suggest considerable contamination, likely stemming from waste discharges, agricultural runoff, and inadequate waste management practices. The findings of this study underscore the critical need for ongoing water quality monitoring to detect heavy metal pollution in aquatic systems. Given the potential for metals to accumulate and biomagnify in these environments, there is an urgent necessity for effective management strategies and regulatory measures aimed at reducing heavy metal discharges into water bodies. Furthermore, raising public awareness about the health risks associated with contaminated water sources and enhancing wastewater treatment facilities are essential steps for protecting both human and environmental health in the region. Future research should focus on understanding the long-term impacts of these pollutants on the ecosystem and developing sustainable approaches for pollution management. Declarations “All authors have read, understood, and have complied as applicable with the statement on “Ethical responsibilities of Authors” as found in the Instructions for Authors” for Jornal Environmental Monitoring and Assessment Funding Declaration: No external funding to support our research Author Contribution [Author 1's Yahaya Kudush Kawa]: Lead investigator responsible for designing the study, developing the research framework, and overseeing the water sample and analysis. Also contributed to drafting and revising the manuscript.[Author 2's Sam Sonny Tommy ]: Contributed to the study's design, water samples collections, and laboratory analysis, and participated in the manuscript revision.[Author 3's Gibrilla Thullah]: Contributed to the study's design, water sample collections, and laboratory analysis. Interpretation of findings, and review of the manuscript for accuracy and coherence.[Author 4's Victoria Olufemi Danke ]Assisted with water sample collections and laboratory analysis. Contributed to data analysis and interpretation of results. She was also involved in manuscript drafting and revisions. References Abdallah, M. F., et al. (2018). Assessment of heavy metal pollution in urban water bodies: A review. Environmental Monitoring and Assessment , 190(9), 515. Agency for Toxic Substances and Disease Registry. (2018). Toxicological Profile for Chromium . Atlanta, GA: U.S. Department of Health and Human Services. Alloway, B. J. (2013). Heavy Metals in Soils: Trace Metals and Metalloids in Soils and Their Bioavailability . New York: Springer. Berglund, M., et al. (2020). Health effects of lead and cadmium exposure: A systematic review. Environmental Research , 183, 109238. Benoit, J. M., et al. (2020). Iron in drinking water: Effects on health and water quality. 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Water Research , 154, 304-312. Shaker, H. A., et al. (2021). Ecotoxicological effects of cadmium and lead on aquatic organisms: A review. Ecotoxicology and Environmental Safety , 213, 112054. United Nations Development Programme. (2019). Human Development Report 2019: Beyond income, beyond averages, beyond today . New York: UNDP. Wetzel, R. G. (2001). Limnology: Lake and River Ecosystems . San Diego: Academic Press. World Health Organization. (2019). Lead in drinking water: Background document for development of WHO Guidelines for Drinking-water Quality . Geneva: WHO. World Health Organization. (2017). Heavy metals in drinking water: Background document for development of WHO Guidelines for Drinking-water Quality . Geneva: WHO. World Health Organization. (2003). Guidelines for Drinking-water Quality. Geneva: WHOTop of FormBottom of Form Additional Declarations No competing interests reported. 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Metals such as lead, cadmium, mercury, and arsenic are of particular concern due to their toxicity, persistence in the environment, and bioaccumulation potential (Alloway, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2013\u003c/span\u003e; World Health Organization, \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2017\u003c/span\u003e). In urban areas, the discharge of industrial effluents, untreated sewage, and runoff from roads and agricultural fields often leads to elevated levels of these metals in surface water and sediments (Abdallah et al., \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2018\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eIn Sierra Leone, rapid urbanization and a lack of effective waste management systems exacerbate the risks of heavy metal contamination. Freetown, the capital city, has experienced significant population growth, resulting in increased pressure on local water resources (Kanu et al., \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). This urban sprawl, combined with historical mining activities, raises serious concerns about the potential for heavy metal accumulation in local waterways, including the Angola Catchment.\u003c/p\u003e \u003cp\u003eThe Angola Catchment is an essential water resource for communities in Freetown, providing water for domestic, agricultural, and recreational purposes. However, the catchment is not only susceptible to pollution from urban runoff but also from nearby industrial activities and mining operations (Mansaray et al., \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). Previous studies have indicated that urban catchments often exhibit elevated heavy metal concentrations due to these anthropogenic influences (Berglund et al., \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2020\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eResearch has shown that heavy metals can have severe adverse effects on aquatic ecosystems. For instance, lead is known to cause neurological damage in both humans and wildlife, while cadmium is linked to renal dysfunction and skeletal deformities (Cohen et al., \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2017\u003c/span\u003e; Shaker et al., \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). The bioavailability of heavy metals in aquatic systems can also lead to bioaccumulation in the food chain, posing risks to higher trophic levels, including humans (Chowdhury et al., \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2019\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe potential for heavy metal contamination in the Angola Catchment is compounded by the region's socio-economic challenges. Many residents rely on untreated water sources for drinking and cooking, heightening the risk of exposure to harmful substances (United Nations Development Programme, \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). This reliance underscores the importance of assessing water quality to protect public health and promote sustainable development in Freetown.\u003c/p\u003e \u003cp\u003eDespite the recognized importance of monitoring heavy metal levels, there is a significant lack of comprehensive data regarding the concentrations of these pollutants in the Angola Catchment. Few studies have systematically examined the extent of contamination or the seasonal variations in heavy metal concentrations (Kanu et al., \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). This gap in knowledge presents a critical need for targeted research to understand the current status of water quality in this vital catchment.\u003c/p\u003e \u003cp\u003eThis study aims to assess the concentration of heavy metals in both water and sediment samples from the Angola Catchment. By employing rigorous sampling and analytical techniques, this research will provide valuable baseline data that can inform local policymakers and stakeholders about the potential risks associated with heavy metal pollution. Furthermore, understanding the spatial and temporal patterns of contamination will be crucial for effective environmental management.\u003c/p\u003e \u003cp\u003eIn addition to assessing current heavy metal concentrations, this study will explore potential sources of pollution within the catchment. Identifying key contributors to contamination can help target interventions and improve water quality management practices. The findings will also serve as a critical resource for raising public awareness about the dangers of heavy metal exposure and the importance of environmental stewardship.\u003c/p\u003e \u003cp\u003eThe significance of this research extends beyond academic inquiry; it has the potential to contribute to the development of strategies aimed at mitigating heavy metal pollution in the Angola Catchment. By addressing the urgent need for data-driven decision-making, this study aspires to support the health and well-being of communities in Freetown while promoting sustainable environmental practices.\u003c/p\u003e"},{"header":"2.0 Material and Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\n \u003ch2\u003e2.1 Description of the Study Area\u003c/h2\u003e\n \u003cp\u003eThe Angola Community is located in the eastern part of Freetown, Sierra Leone\u0026rsquo;s capital, within the Western Area Urban District as shown in Fig. \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e. This residential neighbourhood is characterized by high population density and features a mix of residential homes, small businesses, and local markets that serve the community\u0026rsquo;s needs.\u003c/p\u003e\n \u003cp\u003eThe area is defined by its narrow streets, informal settlements, and a vibrant atmosphere that reflects a blend of modern and traditional Sierra Leonean culture. While some parts of Angola Community lack adequate infrastructure and facilities, housing varies from basic single-story dwellings to more developed multi-story buildings.\u003c/p\u003e\n \u003cp\u003eResidents of Angola Community engage in various local economic activities, including services, agriculture, and trading. However, the neighbourhood faces challenges associated with urbanization, such as limited access to sanitation facilities, electricity, and clean water in certain areas.\u003c/p\u003e\n \u003cp\u003eLike much of Freetown, Angola Community experiences a humid tropical climate, characterized by warm temperatures year-round and a distinct rainy season. Its strategic location near other significant neighbourhoods in Freetown allows for easy accessibility from the city centre and other key areas of the capital.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec4\" class=\"Section2\"\u003e\n \u003ch2\u003e2.2 Sample and Sampling Procedure\u003c/h2\u003e\n \u003cp\u003eWater samples were collected from three distinct locations: upstream, midstream, and downstream. A total of 500 ml clean plastic bottles, each thoroughly rinsed with the water to be sampled, were utilized for this purpose. Sampling took place monthly over a ten-month period, from March to December 2024. At each of the three locations, 500 ml of water was collected for analysis each month.\u003c/p\u003e\n \u003cp\u003eTo prevent contamination and waste, each sample was gathered in a new plastic bottle and sealed securely. Following collection, the samples were transported in an ice cooler to the National Laboratory of the Ministry of Water Resources in Freetown for further analysis.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec5\" class=\"Section2\"\u003e\n \u003ch2\u003e2.3 Laboratory Analyses\u003c/h2\u003e\n \u003cp\u003eAll parameters, except for lead and arsenic, underwent photometric chemical analysis. The water quality characteristics analyzed included chromium (Cr), zinc (Zn), manganese (Mn), lead (Pb), iron (Fe), and arsenic (As). For the determination of lead and arsenic levels, colorimetric methods were employed using specialized kits designed for these heavy metals.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec6\" class=\"Section2\"\u003e\n \u003ch2\u003e2.4 Sample and Sampling Procedure\u003c/h2\u003e\n \u003cp\u003eThree locations were used to collect water samples: upstream, midstream, and downstream. Using 500 fresh plastic bottles that had been well cleaned with the water to be collected, samples were taken every month for ten months starting from March to December 2024. 500ml of water was taken from each of the three locations for the analyses for each month. To avoid contamination and waste, each sample was taken in a brand-new, fresh plastic bottle and carefully sealed. For analysis, samples were shipped in an ice cooler to the Ministry of Water Resources\u0026apos; National Laboratory in Freetown.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec7\" class=\"Section2\"\u003e\n \u003ch2\u003e2.5 Water Quality Index Calculation\u003c/h2\u003e\n \u003cp\u003eThe WQI was calculated using the weighted arithmetic index method of parameter computation. The WQI under consideration is of the following format:\u003c/p\u003e\n \u003cdiv id=\"Equa\" class=\"Equation\"\u003e\n \u003cdiv class=\"mathdisplay\" id=\"FileID_Equa\" name=\"EquationSource\"\u003e$$\\:\\varvec{W}\\varvec{Q}\\varvec{I}=\\:\\:\\:\\varvec{w}\\varvec{i}\\varvec{q}\\varvec{i}/\\sum\\:\\:\\varvec{w}\\varvec{i}$$\u003c/div\u003e\n \u003c/div\u003e\n \u003cp\u003e\u003c/p\u003e\n \u003cp\u003eWhere:\u003c/p\u003e\n \u003cp\u003eqi\u0026thinsp;=\u0026thinsp;Quality rating for the i\u003csup\u003eth\u003c/sup\u003e water quality parameters, Wi\u0026thinsp;=\u0026thinsp;Unit weight for the i\u003csup\u003eth\u003c/sup\u003e parameters\u003c/p\u003e\n \u003cp\u003eIn this study, there were four processes to calculating WQI:\u003c/p\u003e\n \u003cp\u003eThe WQI criteria are chosen based on the World Health Organization\u0026apos;s drinking water quality requirements (WHO)\u003c/p\u003e\n \u003cp\u003e\u003c/p\u003e\n \u003cdiv id=\"Sec8\" class=\"Section3\"\u003e\n \u003ch2\u003e2.5.1 Computation of the sub-index of quality rating (qi)\u003c/h2\u003e\n \u003cdiv class=\"BlockQuote\"\u003e\n \u003cp\u003eQuality rating or sub-index (qi) was determined using the following expression, according to Brown et al., \u003cspan class=\"CitationRef\"\u003e1972\u003c/span\u003e\u003c/p\u003e\n \u003cp\u003e\u003cimg src=\"data:image/png;base64,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\" width=\"314\" height=\"98\"\u003e\u003c/p\u003e\n \u003c/div\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n \u003cp\u003e\u003cem\u003eWhere\u003c/em\u003e:\u003c/p\u003e\n \u003cdiv class=\"BlockQuote\"\u003e\n \u003cp\u003eqi\u0026thinsp;=\u0026thinsp;Quality rating for the i\u003csup\u003eth\u003c/sup\u003e water quality parameters\u003c/p\u003e\n \u003cp\u003eVa\u0026thinsp;=\u0026thinsp;actual value present of the (i\u003csup\u003eth\u003c/sup\u003e) parameter at a given sampling station.\u003c/p\u003e\n \u003cp\u003eVi\u0026thinsp;=\u0026thinsp;ideal value (0 for all parameters excepts pH 7.0 mg/lit respectively).\u003c/p\u003e\n \u003cp\u003eVs\u0026thinsp;=\u0026thinsp;standard value\u003c/p\u003e\n \u003c/div\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n \u003c/div\u003e\n \u003cdiv id=\"Sec9\" class=\"Section3\"\u003e\n \u003ch2\u003e2.5.2 Unit weight (Wi) calculation\u003c/h2\u003e\n \u003cdiv class=\"BlockQuote\"\u003e\n \u003cp\u003eThe suggested standards value of the linked parameters is inversely related to the unit weight (Wi) attributed to various water quality measurements.\u003c/p\u003e\n \u003c/div\u003e\n \u003cdiv id=\"Equb\" class=\"Equation\"\u003e\n \u003cdiv class=\"mathdisplay\" id=\"FileID_Equb\" name=\"EquationSource\"\u003e$$\\:{\\varvec{W}}_{\\varvec{i}}\\:=\\varvec{K}/\\varvec{S}$$\u003c/div\u003e\n \u003c/div\u003e\n \u003cp\u003eWhere:\u003c/p\u003e\n \u003cp\u003eWi\u0026thinsp;=\u0026thinsp;unit weight for the i\u003csup\u003eth\u003c/sup\u003e parameters\u003c/p\u003e\n \u003cp\u003esi\u0026thinsp;=\u0026thinsp;standards value for the i\u003csup\u003eth\u003c/sup\u003e parameters\u003c/p\u003e\n \u003cdiv class=\"BlockQuote\"\u003e\n \u003cp\u003eK\u0026thinsp;=\u0026thinsp;relative constant\u003c/p\u003e\n \u003c/div\u003e\n \u003cp\u003eK\u0026thinsp;=\u0026thinsp;1/1/Sn1,2,3\u003c/p\u003e\n \u003cp\u003eTable 1: Explain the different classifications of water quality status based on water quality index (Brown et al., 1972)\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003eTable 1: Water Quality Classification Based on WQI Value\u003c/strong\u003e\u0026nbsp;\u003c/p\u003e\n \u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" width=\"654\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd rowspan=\"3\" style=\"width: 85px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eClass\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"3\" style=\"width: 168px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eWQI Value\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd rowspan=\"3\" style=\"width: 402px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eWater Quality Status\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"50\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd height=\"36\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd height=\"30\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eI\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003e0-25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 402px;\"\u003e\n \u003cp\u003eExcellent\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"23\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eII\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003e26-50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 402px;\"\u003e\n \u003cp\u003eGood Water\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"23\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eIII\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003e51-75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 402px;\"\u003e\n \u003cp\u003eFair\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"23\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eIV\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003e76-100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 402px;\"\u003e\n \u003cp\u003eVery Poor Water\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"24\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 85px;\"\u003e\n \u003cp\u003eV\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 168px;\"\u003e\n \u003cp\u003eAbove 100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 402px;\"\u003e\n \u003cp\u003eUnsuitable Water\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd height=\"23\" style=\"width: 0px;\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n \u003c/div\u003e\n\u003c/div\u003e"},{"header":"3.0 RESULTS AND DISCUSSIONS","content":"\u003cp\u003e\u003cstrong\u003e3.1 Temperature\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe average water temperatures across the three segments of the Angola Catchment are as follows: 28.6\u0026deg;C for the upstream (US) region, 28.52\u0026deg;C for the midstream (MS) region, and 28.39\u0026deg;C for the downstream (DS) region. These measurements are detailed in Tables 1, 2, and 3. Temperature is a crucial parameter in aquatic chemistry, as it influences various chemical processes, including solubility, reaction rates, and biological activity (Wetzel, 2001; Chapman, 1996).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.2 pH\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe pH of water is a critical parameter that indicates its acidity or basicity. The pH scale ranges from 0 to 14, with a recommended range of 6.5 to 8.5 for irrigation and drinking purposes (World Health Organization, 2003). Water with a pH below 6.5 is classified as acidic, and decreasing pH values indicate increasing acidity.\u003c/p\u003e\n\u003cp\u003eIn the Angola Catchment, pH values range from 6.7 to 7.2, with an average of 6.94 in the upstream region. The midstream region shows pH values from 6.8 to 7.2, averaging 6.98, while the downstream region also ranges from 6.8 to 7.2, with an average of 6.96. These results are depicted in Figure 2 (Mean pH Level in Angola Catchment) and fall within the acceptable limits set by the WHO (6.50\u0026ndash;8.50). Similar findings were reported by Fianko et al. (2006), where mean pH values of water samples in the estuary ranged between 6.8 and 7.7, also within the recommended values for domestic use.\u003c/p\u003e\n\u003cp\u003eBoth temperature and pH significantly influence the toxicity and solubility of metals in aquatic environments. The relationship between these parameters and metal toxicity is crucial for understanding the health of aquatic ecosystems and assessing potential risks to human health.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.3 Chromium\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eChromium concentrations in water samples from the Angola Catchment vary, with levels ranging from 0.07 mg/L to 0.28 mg/L with an average mean of 0.18 mg/L in the upper stream region. The midstream region shows chromium levels between 0.05 mg/L and 0.17 mg/L, averaging 0.08 mg/L. In the downstream region, concentrations range from 0.07 mg/L to 0.26 mg/L, with an average mean of 0.19 mg/L. Except the midstream point of the sampled region, the chromium mean values for both the upper-stream and downstream points of the Angola water, exceed the World Health Organization\u0026apos;s (WHO) permissible limit of 0.05 mg/L for drinkable waters, as illustrated in Figure 2b.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eChromium (Cr) is a trace element that can exist in several oxidation states, with trivalent (Cr\u003csup\u003e3+\u003c/sup\u003e) ion, being relatively non-toxic and hexavalent (Cr\u003csup\u003e6+\u003c/sup\u003e) ion being highly toxic and carcinogenic (Agency for Toxic Substances and Disease Registry, 2018). The elevated levels of parameters obtained in the research executed, raise critical concerns about potentially health risk impacts for communities relying on these water sources for consumption.\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.4 Copper\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAnalysis of water samples reveals that copper concentrations in the Angola Catchment vary across different locations. In the upstream region, copper levels range from 0.06 to 0.08 mg/L, while the midstream point and/or location shows concentrations between 0.061 and 0.088 mg/L. The downstream region has copper levels ranging from 0.058 to 0.069 mg/L, as detailed in Tables 2. The mean copper concentrations recorded are 0.0734 mg/L for the upstream, 0.0746 mg/L for the midstream, and 0.0675 mg/L for the downstream. Importantly, these mean concentrations within the World Health Organization\u0026apos;s (WHO) drinking water guideline of 2 mg/L, as illustrated in Figure 2 (c). Copper can pose health risks at elevated levels, including gastrointestinal disturbances and potential liver or kidney damage (L\u0026oacute;pez et al., 2020). The findings highlight the need for continuous monitoring and management of copper levels in water sources to safeguard public health.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.5 Iron\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn the Angola Catchment, iron concentrations vary across the upstream, midstream, and downstream regions. Specifically, iron levels range from 0.2 to 0.3 mg/L in the upstream, from 0.21 to 0.34 mg/L in the midstream, and from 0.07 to 0.38 mg/L in the downstream region. The mean iron concentrations recorded for these locations are 0.25 mg/L for the upstream, 0.26 mg/L for the midstream, and 0.28 mg/L for the downstream.\u003c/p\u003e\n\u003cp\u003eAs illustrated in Figure 5, all measured iron mean concentrations fall well within the World Health Organization\u0026apos;s (WHO) recommended limit of 0.3 mg/L. While iron is an essential nutrient for human health, excessive levels can lead to water quality issues, such as discoloration and an undesirable taste (Benoit et al., 2020). Therefore, ongoing monitoring of iron levels is crucial to ensure that they remain within safe limits for consumption and environmental health.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.6 Manganese\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn the Angola Catchment, manganese concentrations exhibit variability across different locations. In the upstream region, manganese levels range from 0.3 mg/L to 0.5 mg/L, with an average concentration of 0.44 mg/L. The midstream region shows values ranging from 0.33 mg/L to 0.53 mg/L, averaging 0.48 mg/L, while the downstream region has concentrations from 0.3 mg/L to 0.52 mg/L, with an average of 0.46 mg/L. The mean results from the three sampling points collected over ten months are illustrated in Figure 2 (e).\u003c/p\u003e\n\u003cp\u003eImportantly, the mean manganese concentrations in all three regions exceed the World Health Organization\u0026apos;s (WHO) guideline of 0.4 mg/L for drinking water. Comparatively, the mean manganese values found in the Angola Catchment are lower than those reported in similar studies conducted in Kenya, such as those in Winam Gulf, Lake Victoria, where concentrations ranged from 0.05 to 3.276 mg/L (Lalah et al., 2008). Elevated manganese levels can pose health risks, including neurological effects, particularly in vulnerable populations (Kumar et al., 2021).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.7 Arsenic\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis recommendation is supported by toxicological and epidemiological data showing that prolonged exposure to drinking water containing arsenic can cause cancer, diabetes, cardiovascular disease, and skin lesions (World Health Organisation, 2017). During monitoring periods, the three sample points recorded zero mean values from March to December, as shown in Table 2.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.8 Zinc\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn the Angola Catchment, zinc concentrations vary across different regions. In the upstream area, zinc levels range from 0.3 mg/L to 0.5 mg/L, while the midstream region shows values between 0.3 mg/L and 0.4 mg/L. The downstream region exhibits zinc concentrations ranging from 0.31 mg/L to 0.42 mg/L. The average zinc concentrations for the monitored points are 0.44 mg/L for the upstream, 0.36 mg/L for the midstream, and 0.35 mg/L for the downstream.\u003c/p\u003e\n\u003cp\u003eAll measured zinc values are well within the World Health Organization\u0026apos;s (WHO) recommended guideline of 3 mg/L for potable water. Zinc is an essential trace element that plays a vital role in various biological processes; however, excessive levels can lead to adverse health effects, including gastrointestinal disturbances and interference with the absorption of other essential minerals (Davis et al., 2020). Continuous monitoring of zinc levels is crucial to ensure water quality and public health safety.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.9 Lead\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eLead is a heavy metal that can naturally occur in environmental deposits, potentially contaminating groundwater sources (World Health Organization, 2019). According to the WHO\u0026apos;s 2017 guidelines, the acceptable limit for lead in drinking water is no more than 10 micrograms per liter (10 \u0026micro;g/L), equivalent to 0.01 milligrams per liter (0.01 mg/L).\u003c/p\u003e\n\u003cp\u003eIn the Angola Catchment, lead concentrations were consistently measured at zero across all sampling points during the monitoring periods, as presented in Tables 2. This absence of detectable lead is promising, indicating that the water quality in this region meets the WHO standards and suggests minimal risk of lead exposure from drinking water sources. However, continuous monitoring is essential, as lead can enter water supplies through aging infrastructure and industrial activities (Graham et al., 2020).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable2: Summary Results for Upper Stream, Middle Stream, and Down Stream at Angola Catchment\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" align=\"\" width=\"627\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" valign=\"top\" style=\"width: 179px;\"\u003e\n \u003cp\u003eUpper Stream\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"3\" valign=\"top\" style=\"width: 181px;\"\u003e\n \u003cp\u003eMiddle Stream\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"4\" valign=\"top\" style=\"width: 182px;\"\u003e\n \u003cp\u003eDown Stream\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eParameters\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003eMin\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003eMax\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 61px;\"\u003e\n \u003cp\u003eMean\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003eMin\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003eMax\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 61px;\"\u003e\n \u003cp\u003eMean\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003eMin\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003eMax\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003eMean\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 1px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eTemperature\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e28.1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e28.9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 61px;\"\u003e\n \u003cp\u003e28.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e28.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 61px;\"\u003e\n \u003cp\u003e28.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e27.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e28.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e28.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 1px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003epH\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e6.7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e7.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 61px;\"\u003e\n \u003cp\u003e6.94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e6.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e7.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 61px;\"\u003e\n \u003cp\u003e6.98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e6.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e7.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e6.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 1px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eChromium\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e0.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 61px;\"\u003e\n \u003cp\u003e0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.17\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 61px;\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 1px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eCopper\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e0.06\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 61px;\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.061\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.088\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 61px;\"\u003e\n \u003cp\u003e0.072\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.058\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.069\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.068\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 1px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eIron\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e0.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 61px;\"\u003e\n \u003cp\u003e0.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.21\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.34\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 61px;\"\u003e\n \u003cp\u003e0.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.22\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.38\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 1px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eManganese\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e0.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 61px;\"\u003e\n \u003cp\u003e0.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.53\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 61px;\"\u003e\n \u003cp\u003e0.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.52\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 1px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eArsenic\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 61px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 61px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 1px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eZinc\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e0.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 61px;\"\u003e\n \u003cp\u003e0.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.41\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 61px;\"\u003e\n \u003cp\u003e0.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.31\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.42\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 1px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 84px;\"\u003e\n \u003cp\u003eLead\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 61px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 61px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 60px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 1px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3a: Water Quality Index Calculation for Angola Upper Stream and Middle Stream\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" align=\"\" width=\"974\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"8\" valign=\"top\" style=\"width: 494px;\"\u003e\n \u003cp\u003eUpper Stream\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"8\" valign=\"top\" style=\"width: 479px;\"\u003e\n \u003cp\u003eMiddle Stream\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003eSI. No\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003eParameters\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003eStandard Values (Si)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 67px;\"\u003e\n \u003cp\u003e1/Si\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 70px;\"\u003e\n \u003cp\u003eUnit Weight (Wi)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003eObserved Values\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003eQuality Rating (qi)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 63px;\"\u003e\n \u003cp\u003eWeighted (Wiqi)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 70px;\"\u003e\n \u003cp\u003eParameters\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003eStandard Values (Si)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e1/Si\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 58px;\"\u003e\n \u003cp\u003eUnit Weight (Wi)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003eObserved Values\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 72px;\"\u003e\n \u003cp\u003eQuality (Rating) (qi)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 91px;\"\u003e\n \u003cp\u003eWeighted (Wiqi)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 1px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003epH\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e8.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 67px;\"\u003e\n \u003cp\u003e0.1176\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 70px;\"\u003e\n \u003cp\u003e0.00047\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e6.94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e-4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 63px;\"\u003e\n \u003cp\u003e\u0026nbsp; -0.00188\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 70px;\"\u003e\n \u003cp\u003epH\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e8.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e0.1176\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 58px;\"\u003e\n \u003cp\u003e0.00047\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e6.98\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 72px;\"\u003e\n \u003cp\u003e-1.333\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 91px;\"\u003e\n \u003cp\u003e-0.00063\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 1px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003eChromium\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 67px;\"\u003e\n \u003cp\u003e20.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 70px;\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e380\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 63px;\"\u003e\n \u003cp\u003e30.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 70px;\"\u003e\n \u003cp\u003eChromium\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e20.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 58px;\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 72px;\"\u003e\n \u003cp\u003e160\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 91px;\"\u003e\n \u003cp\u003e12.8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 1px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003eCopper\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e2.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 67px;\"\u003e\n \u003cp\u003e0.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 70px;\"\u003e\n \u003cp\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e0.07\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e3.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 63px;\"\u003e\n \u003cp\u003e0.007\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 70px;\"\u003e\n \u003cp\u003eCopper\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e2.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e0.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 58px;\"\u003e\n \u003cp\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e0.072\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 72px;\"\u003e\n \u003cp\u003e3.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 91px;\"\u003e\n \u003cp\u003e0.0072\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 1px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003eIron\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 67px;\"\u003e\n \u003cp\u003e3.333\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 70px;\"\u003e\n \u003cp\u003e0.0133\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e0.25\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e83.33\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.108289\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 70px;\"\u003e\n \u003cp\u003eIron\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e3.333\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 58px;\"\u003e\n \u003cp\u003e0.0133\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e0.26\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 72px;\"\u003e\n \u003cp\u003e86.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 91px;\"\u003e\n \u003cp\u003e1.1527\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 1px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003eManganese\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e0.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 67px;\"\u003e\n \u003cp\u003e2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 70px;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e0.45\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e112.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 63px;\"\u003e\n \u003cp\u003e1.125\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 70px;\"\u003e\n \u003cp\u003eManganese\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e0.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 58px;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e0.48\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 72px;\"\u003e\n \u003cp\u003e120\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 91px;\"\u003e\n \u003cp\u003e1.2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 1px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003eArsenic\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 67px;\"\u003e\n \u003cp\u003e100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 70px;\"\u003e\n \u003cp\u003e0.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 63px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 70px;\"\u003e\n \u003cp\u003eArsenic\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 58px;\"\u003e\n \u003cp\u003e0.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 72px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 91px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 1px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003eZinc\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e3.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 67px;\"\u003e\n \u003cp\u003e0.333\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 70px;\"\u003e\n \u003cp\u003e0.00133\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e0.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e11.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 63px;\"\u003e\n \u003cp\u003e0.01552\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 70px;\"\u003e\n \u003cp\u003eZinc\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e3.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e0.333\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 58px;\"\u003e\n \u003cp\u003e0.00133\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e0.36\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 72px;\"\u003e\n \u003cp\u003e12\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 91px;\"\u003e\n \u003cp\u003e0.01596\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 1px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003eLead\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 67px;\"\u003e\n \u003cp\u003e100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 70px;\"\u003e\n \u003cp\u003e0.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 63px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 70px;\"\u003e\n \u003cp\u003eLead\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 58px;\"\u003e\n \u003cp\u003e0.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 72px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 91px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 1px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 78px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 67px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e226.7836\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 70px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026sum;Wi=\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e0.9071\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 63px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026sum;Wiqi=\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e32.65393\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 70px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 59px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e226.7836\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 58px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026sum;Wi=\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e0.9071\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 74px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 72px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 91px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026sum;Wiqi=\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e15.17523\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 1px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 54px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"7\" valign=\"top\" style=\"width: 441px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eWQI= 35.998\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"8\" valign=\"top\" style=\"width: 479px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eWQI= 16.73\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3b: Water Quality Index Calculation for Angola Down Stream\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\" align=\"\" width=\"989\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"9\" valign=\"top\" style=\"width: 989px;\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; Down Stream\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 33px;\"\u003e\n \u003cp\u003eSI. No\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003eParameters\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 177px;\"\u003e\n \u003cp\u003eStandard Values (Si)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 71px;\"\u003e\n \u003cp\u003e1/Si\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 124px;\"\u003e\n \u003cp\u003eUnit Weight (Wi)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 133px;\"\u003e\n \u003cp\u003eObserved Values\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003eQuality Rating (qi)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003eWeighted (Wiqi)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 33px;\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003epH\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 177px;\"\u003e\n \u003cp\u003e8.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 71px;\"\u003e\n \u003cp\u003e0.1176\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 124px;\"\u003e\n \u003cp\u003e0.00047\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 133px;\"\u003e\n \u003cp\u003e6.96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e-2.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e-0.00125\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 33px;\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003eChromium\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 177px;\"\u003e\n \u003cp\u003e0.05\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 71px;\"\u003e\n \u003cp\u003e20.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 124px;\"\u003e\n \u003cp\u003e0.08\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 133px;\"\u003e\n \u003cp\u003e0.19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e380\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e30.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 33px;\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003eCopper\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 177px;\"\u003e\n \u003cp\u003e2.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 71px;\"\u003e\n \u003cp\u003e0.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 124px;\"\u003e\n \u003cp\u003e0.002\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 133px;\"\u003e\n \u003cp\u003e0.068\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e3.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e0.0068\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 33px;\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003eIron\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 177px;\"\u003e\n \u003cp\u003e0.3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 71px;\"\u003e\n \u003cp\u003e3.333\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 124px;\"\u003e\n \u003cp\u003e0.0133\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 133px;\"\u003e\n \u003cp\u003e0.29\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e96.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e0.19334\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 33px;\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003eManganese\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 177px;\"\u003e\n \u003cp\u003e0.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 71px;\"\u003e\n \u003cp\u003e2.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 124px;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 133px;\"\u003e\n \u003cp\u003e0.47\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e117.5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e1.175\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 33px;\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003eArsenic\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 177px;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 71px;\"\u003e\n \u003cp\u003e100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 124px;\"\u003e\n \u003cp\u003e0.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 133px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 33px;\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003eZinc\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 177px;\"\u003e\n \u003cp\u003e3.0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 71px;\"\u003e\n \u003cp\u003e0.333\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 124px;\"\u003e\n \u003cp\u003e0.00133\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 133px;\"\u003e\n \u003cp\u003e0.35\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e11.67\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e0.0155\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 33px;\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003eLead\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 177px;\"\u003e\n \u003cp\u003e0.01\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 71px;\"\u003e\n \u003cp\u003e100\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 124px;\"\u003e\n \u003cp\u003e0.4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 133px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e0.00\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 33px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 177px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 71px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e226.7836\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 124px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026sum;Wi= 0.9071\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 133px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 150px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 151px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026sum;Wiqi= 31.78939\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd style=\"width: 0px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 33px;\"\u003e\n \u003cp\u003e\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd colspan=\"8\" valign=\"top\" style=\"width: 955px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eWQI= 35.05\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eIn the upper stream as shown in Table 3a, the WQI IS 35.998 which shows that the water quality is good. Compared to the upper stream, the middle stream\u0026apos;s WQI of 16.73 from Table 3a indicates exceptional water quality. This section\u0026apos;s overall WQI is much lower than the upper stream, indicating that the water quality is getting better. The downstream WQI of \u003cstrong\u003e35.05\u003c/strong\u003e as shown in Table 3b is very similar to the upper stream, indicating that water quality does not improve substantially by the time it reaches the downstream. Certain parameters are above the WHO limits across all three sections of the river (upper, middle, and down streams), with pollutants like chromium, and manganese levels being the key contributors. However, the Middle Stream shows a slight improvement compared to the upper and down Streams.\u0026nbsp;\u003c/p\u003e"},{"header":"Conclusions","content":"\u003cp\u003eThe assessment of heavy metals in the Angola Catchment Area revealed the presence of several hazardous metals, notably chromium, and manganese, at concentrations exceeding the World Health Organization\u0026apos;s (WHO) drinking water standards. These elevated levels pose a significant health risk to the local community, which may be exposed to contaminated water through drinking, agriculture, and fishing activities. While arsenic and lead were not detected in any samples, the high concentrations of other metals suggest considerable contamination, likely stemming from waste discharges, agricultural runoff, and inadequate waste management practices.\u003c/p\u003e\n\u003cp\u003eThe findings of this study underscore the critical need for ongoing water quality monitoring to detect heavy metal pollution in aquatic systems. Given the potential for metals to accumulate and biomagnify in these environments, there is an urgent necessity for effective management strategies and regulatory measures aimed at reducing heavy metal discharges into water bodies. Furthermore, raising public awareness about the health risks associated with contaminated water sources and enhancing wastewater treatment facilities are essential steps for protecting both human and environmental health in the region.\u003c/p\u003e\n\u003cp\u003eFuture research should focus on understanding the long-term impacts of these pollutants on the ecosystem and developing sustainable approaches for pollution management.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u0026ldquo;All authors have read, understood, and have complied as applicable with the statement on \u0026ldquo;Ethical responsibilities of Authors\u0026rdquo; as found in the Instructions for Authors\u0026rdquo; for Jornal Environmental Monitoring and Assessment\u003c/p\u003e\n\u003ch2\u003e\u003cstrong\u003eFunding Declaration:\u003c/strong\u003e\u003c/h2\u003e\n\u003cp\u003eNo external funding to support our research \u003c/p\u003e\n\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\n\u003cp\u003e[Author 1\u0026apos;s Yahaya Kudush Kawa]: Lead investigator responsible for designing the study, developing the research framework, and overseeing the water sample and analysis. Also contributed to drafting and revising the manuscript.[Author 2\u0026apos;s Sam Sonny Tommy ]: Contributed to the study\u0026apos;s design, water samples collections, and laboratory analysis, and participated in the manuscript revision.[Author 3\u0026apos;s Gibrilla Thullah]: Contributed to the study\u0026apos;s design, water sample collections, and laboratory analysis. Interpretation of findings, and review of the manuscript for accuracy and coherence.[Author 4\u0026apos;s Victoria Olufemi Danke ]Assisted with water sample collections and laboratory analysis. Contributed to data analysis and interpretation of results. She was also involved in manuscript drafting and revisions.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eAbdallah, M. F., et al. (2018). 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(2003). Guidelines for Drinking-water Quality. Geneva: WHOTop of FormBottom of Form\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"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":"Heavy metals, Water quality, Angola Catchment, Bioaccumulation, Aquatic ecosystem","lastPublishedDoi":"10.21203/rs.3.rs-6135361/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6135361/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe study examines the levels of heavy metals in the Angola Catchment Area of Freetown, Sierra Leone, and their potential impacts on human health and the aquatic ecosystem. Monthly water samples were collected from March to December 2024 at three distinct locations: upstream, midstream, and downstream, totalling ten months of data collection. Seven heavy metals were analyzed: arsenic (As), manganese (Mn), copper (Cu), iron (Fe), zinc (Zn), lead (Pb), and chromium (Cr).\u003c/p\u003e \u003cp\u003eThe results indicated that chromium, and manganese levels consistently exceeded the World Health Organization (WHO) recommended limits. In contrast, lead and arsenic were undetectable at all three sampling sites. These findings raise significant environmental concerns regarding heavy metal contamination, which poses health risks to both aquatic organisms and the local population due to the potential for bioaccumulation.\u003c/p\u003e \u003cp\u003eThe study underscores the urgent need for enhanced monitoring and regulation of human activities to mitigate the adverse effects of these hazardous metals in water bodies.\u003c/p\u003e","manuscriptTitle":"Assessment of Metal and Heavy Metal Concentrations in the Angola Catchment, Freetown, Sierra Leone","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-03-28 04:49:06","doi":"10.21203/rs.3.rs-6135361/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":"432322ac-c028-4087-adb1-337d56ebaa3f","owner":[],"postedDate":"March 28th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-04-10T00:08:16+00:00","versionOfRecord":[],"versionCreatedAt":"2025-03-28 04:49:06","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6135361","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6135361","identity":"rs-6135361","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}