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中国南方郴州甘溪河周边受采矿活动影响的农业土壤中的重金属污染。

Heavy metal contamination of agricultural soils affected by mining activities around the Ganxi River in Chenzhou, Southern China.

作者信息

Ma Li, Sun Jing, Yang Zhaoguang, Wang Lin

机构信息

College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, China.

出版信息

Environ Monit Assess. 2015 Dec;187(12):731. doi: 10.1007/s10661-015-4966-8. Epub 2015 Nov 7.

Abstract

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.

摘要

重金属污染因其强毒性和持久性而受到广泛关注。位于中国南方郴州市的甘溪河,已受到铅/锌矿开采活动的严重污染。这项工作调查了甘溪河周边农业土壤中的重金属污染情况。通过电感耦合等离子体质谱法测定重金属的总浓度。采用内梅罗综合指数和潜在生态风险指数评估土壤中重金属的潜在风险。在这两种方法中,研究区域均被评为极高风险。运用包括皮尔逊相关分析、层次聚类分析和主成分分析在内的多元统计方法,评估重金属之间的关系以及重金属与pH值之间的相关性,以确定金属来源。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,共提取了两个成分来解释总方差的90%以上,这两个成分均与人为来源有关。

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