Evaluation of soil contamination indices in a mining area of Jiangxi, China.
Evaluation of soil contamination indices in a mining area of Jiangxi, China.
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江西某矿区土壤污染指数评价
DOI：
10.1371/journal.pone.0112917
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发表时间：
2014
期刊：
影响因子：
3.7
通讯作者：
Jiao X
中科院分区：
文献类型：
--
作者：
Wu J;Teng Y;Lu S;Wang Y;Jiao X
目前有各种各样的方法用于评估土壤污染。本文讨论了不同土壤污染评价方法的优缺点。本文采用富集系数（EF）、地积累指数（Igeo）、污染指数（PI）和主成分分析法（PCA）对中国有色矿产资源重镇德兴的土壤污染指标As、Cd、Cr、Cu、Hg、Pb、Zn 7种微量元素进行了分析。在此基础上绘制了3个污染指数和主成分分析图，了解了该地区土壤污染的现状和趋势。整个研究区Cd、Cu、Pb、Zn富集较强，尤其是矿区附近。城市地区砷和汞的浓度也很高。结果表明，该区铬的来源既有人为的，也有自然的。将主成分分析与地理信息系统（GIS）相结合，成功地进行了自然和人为痕量金属的鉴别。
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.
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