Heavy metal contamination of agricultural soils affected by mining activities around the Ganxi River in Chenzhou, Southern China
Heavy metal contamination of agricultural soils affected by mining activities around the Ganxi River in Chenzhou, Southern China
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DOI：
10.1007/s10661-015-4966-8
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发表时间：
2015-12-01
影响因子：
3
通讯作者：
Wang, Lin
中科院分区：
文献类型：
--
作者：
Ma, Li;Sun, Jing;Wang, Lin
重金属污染因其毒性强、持久性强而受到广泛关注。赣溪河位于中国南方郴州市，受到铅锌矿开采活动的严重污染。本文对赣溪河流域农业土壤重金属污染进行了调查。采用电感耦合等离子体质谱法测定重金属总浓度。采用Nemerow综合指数和潜在生态风险指数对土壤重金属的潜在风险进行评价。在这两种方法中，研究区域都被评为非常高风险。采用Pearson相关分析、层次聚类分析、主成分分析等多元统计方法评价重金属之间的关系，以及重金属与pH的相关性，确定重金属来源。通过层次聚类分析，观察到三个不同的聚类。在主成分分析中，总共提取了两个成分来解释总方差的90%以上，这两个成分都与人为源有关。
Heavy metal contamination attracted a wide spread attention due to their strong toxicity and persistence. The Ganxi River, located in Chenzhou City, Southern China, has been severely polluted by lead/zinc ore mining activities. This work investigated the heavy metal pollution in agricultural soils around the Ganxi River. The total concentrations of heavy metals were determined by inductively coupled plasma-mass spectrometry. The potential risk associated with the heavy metals in soil was assessed by Nemerow comprehensive index and potential ecological risk index. In both methods, the study area was rated as very high risk. Multivariate statistical methods including Pearson's correlation analysis, hierarchical cluster analysis, and principal component analysis were employed to evaluate the relationships between heavy metals, as well as the correlation between heavy metals and pH, to identify the metal sources. Three distinct clusters have been observed by hierarchical cluster analysis. In principal component analysis, a total of two components were extracted to explain over 90 % of the total variance, both of which were associated with anthropogenic sources.