Assessment of heavy metals and arsenic pollution in surface sediments from rivers around a uranium mining area in East China
Assessment of heavy metals and arsenic pollution in surface sediments from rivers around a uranium mining area in East China
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华东某铀矿区周边河流表层沉积物重金属和砷污染评价
DOI：
10.1007/s10653-019-00428-x
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发表时间：
2019-09
影响因子：
4.2
通讯作者：
Sun Zhanxue
中科院分区：
文献类型：
--
作者：
Zheng Lili;Zhou Zhongkui;Rao Miaomiao;Sun Zhanxue
以华东某铀矿附近河流表层沉积物为研究对象，分析了Cr、Cu、Ni、Pb、Zn、Cd和As 7种金属元素的含量。根据地积累指数、污染负荷指数、潜在生态风险指数和沉积物质量基准，对重金属和砷的污染程度和生态风险进行了评价。最后，通过皮尔逊相关分析、主成分分析和系统聚类分析确定污染源。结果表明，以研究区土壤背景值为参考，沉积物中Cr、Cu、Ni、Pb、Zn、Cd和As均表现出不同程度的污染，Cd是沉积物中主要的超标污染物。在河流的大部分地区，镉已达到中度污染水平。受城市化和铀矿开采冶炼的影响，9、13、17和18号采样点的潜在生态危害明显高于其他采样点。铜、锌、铬、镍和镉主要来源于城市活动和铀工业，铅主要来源于汽车排放，砷主要来源于自然界和岩石。
Taking the surface sediments of rivers near a uranium mine in East China as the research object, the concentrations of seven metals, including Cr, Cu, Ni, Pb, Zn, Cd and As, were analyzed. The pollution degree and ecological risk of heavy metals and arsenic were evaluated according to the geo-accumulation index, pollution loading index, potential ecological risk index and sediment quality guidelines. Finally, the sources of pollution were determined by Pearson’s correlation analysis, principal component analysis and hierarchical cluster analysis. The results indicated that Cr, Cu, Ni, Pb, Zn, Cd and As in sediments showed varying degrees of contamination, using the soil background value of the study area as a reference, and Cd was the main excessive pollutant in the sediments. In most parts of the river, Cd has reached a moderate level of pollution. The potential ecological hazards at sampling sites 9, 13, 17 and 18 are significantly higher than the other sites because of the impact of urbanization and uranium mining and smelting. Cu, Zn, Cr, Ni and Cd are mainly derived from urban activities and the uranium industry, Pb is mainly derived from vehicle emissions, and As is mainly derived from nature and rocks.
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影响因子：
3.7
作者：
Min KJ;Lee JK;Lee S;Kim MK
通讯作者：
Kim MK
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影响因子：
13.6
作者：
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影响因子：
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作者：
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通讯作者：
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影响因子：
5.8
作者：
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通讯作者：
Xin Jiang;Ankang Teng;Wenzhe Xu;Xiaoshou Liu
影响因子：
2.5
作者：
M. Giger;R. Nishikawa;R. Schmidt;C. Vyborny;P. Lu;Yulei Jiang;Z. Huo;J. Papaioannou;C. Wu
通讯作者：
M. Giger;R. Nishikawa;R. Schmidt;C. Vyborny;P. Lu;Yulei Jiang;Z. Huo;J. Papaioannou;C. Wu