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Assessment of contamination and health risk of heavy metals in selected water bodies around gold mining areas in Ghana

机译:评估加纳金矿区周围某些水体中重金属的污染和健康风险

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Heavy metal contamination of selected rivers in Ghana was studied as part of a bigger project aimed at setting background standard for heavy metals in the Ghanaian environment. Water samples were collected from major mining and eight pristine areas. The samples were acid digested with aqua-regia and analyzed with ICP-MS for As, Cd, Hg, Zn, Cu, Mn, Fe, Cr, Al, V, Co, Ni, and Pb. The average concentrations (mg/L) from the pristine sites ranged from 0.002 +/- 0.00(As) to 0.929 +/- 0.06 (Fe) and 0.002 +/- 0.00 (Pb) to 20.355 +/- 5.60 (Fe) from the mining sites. With the exception of Al, Fe, and Mn, the metals level were found to be within the WHO and USEPA guideline limits. Hazard quotients (HQ) for ingestion and dermal contact for pristine and mining samples ranged from 3.00E-04 (Cu) to 0.84 (Cr) and 2.40E-06 (Cu) to 7.44 (As), respectively. The carcinogenic risk (CR) for ingestion and dermal contact ranged from 5.03E-06 to 1.71E-07 (Cr) and 4.22E-08 to 1.44E-09 (Cr), respectively. Arsenic showed a CR value higher than the acceptable limit (1.8E-02) from the mining sites which poses carcinogenic health threat. Multicriteria ranking suggests Birim river (EAM) as the most contaminated. The pattern recognition and multicriteria approach in characterizing the heavy metal contamination (for the first time in the case of Ghana) from the various sites will provide fresh insights into the risk assessment of heavy metals in contaminated surface waters.
机译:作为旨在为加纳环境设定重金属背景标准的更大项目的一部分,研究了加纳部分河流的重金属污染。从主要采矿和八个原始地区收集了水样。样品用水色酸消解,并用ICP-MS进行As,Cd,Hg,Zn,Cu,Mn,Fe,Cr,Al,V,Co,Ni和Pb的分析。原始位点的平均浓度(mg / L)为0.002 +/- 0.00(As)至0.929 +/- 0.06(Fe)和0.002 +/- 0.00(Pb)至20.355 +/- 5.60(Fe)采矿场。除Al,Fe和Mn外,金属含量均在WHO和USEPA准则范围内。原始样品和采矿样品的摄入和皮肤接触的危险商(HQ)范围分别为3.00E-04(Cu)至0.84(Cr)和2.40E-06(Cu)至7.44(As)。摄入和皮肤接触的致癌风险(CR)分别为5.03E-06至1.71E-07(Cr)和4.22E-08至1.44E-09(Cr)。砷的CR值高于矿区的可接受限值(1.8E-02),这对致癌健康构成了威胁。多标准排名显示,比里姆河(EAM)被污染最严重。利用模式识别和多准则方法来表征来自各个地点的重金属污染(在加纳首次出现),这将为受污染的地表水中重金属的风险评估提供新的见解。

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