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Evaluation of Soil Contamination Indices in a Mining Area of Jiangxi China

机译:江西矿区土壤污染指数评价

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摘要

There is currently a wide variety of methods used to evaluate soil contamination. We present a discussion of the advantages and limitations of different soil contamination assessment methods. In this study, we analyzed seven trace elements (As, Cd, Cr, Cu, Hg, Pb, and Zn) that are indicators of soil contamination in Dexing, a city in China that is famous for its vast nonferrous mineral resources in China, using enrichment factor (EF), geoaccumulation index (Igeo), pollution index (PI), and principal component analysis (PCA). The three contamination indices and PCA were then mapped to understand the status and trends of soil contamination in this region. The entire study area is strongly enriched in Cd, Cu, Pb, and Zn, especially in areas near mine sites. As and Hg were also present in high concentrations in urban areas. Results indicated that Cr in this area originated from both anthropogenic and natural sources. PCA combined with Geographic Information System (GIS) was successfully used to discriminate between natural and anthropogenic trace metals.
机译:当前,有多种方法可用于评估土壤污染。我们讨论了不同土壤污染评估方法的优缺点。在这项研究中,我们分析了七种微量元素(As,Cd,Cr,Cu,Hg,Pb和Zn),这些元素是德兴市土壤污染的指标,德兴市以中国巨大的有色矿产资源而闻名,使用富集因子(EF),地质累积指数(Igeo),污染指数(PI)和主成分分析(PCA)。然后绘制了三个污染指数和PCA,以了解该地区土壤污染的状况和趋势。整个研究区域富含Cd,Cu,Pb和Zn,尤其是在矿区附近。市区的砷和汞含量也很高。结果表明,该地区的铬来自人为和自然来源。 PCA与地理信息系统(GIS)的组合已成功用于区分天然和人为痕量金属。

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