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Heavy metals in the gold mine soil of the upstream area of a metropolitan drinking water source

机译：大城市饮用水源上游地区金矿土壤中的重金属

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摘要

Pinggu District is adjacent to the county of Miyun, which contains the largest drinking water source of Beijing (Miyun Reservoir). The Wanzhuang gold field and tailing deposits are located in Pinggu, threatening Beijing's drinking water security. In this study, soil samples were collected from the surface of the mining area and the tailings piles and analyzed for physical and chemical properties, as well as heavy metal contents and particle size fraction to study the relationship between degree of pollution degree and particle size. Most metal concentrations in the gold mine soil samples exceeded the background levels in Beijing. The spatial distribution of As, Cd, Cu, Pb, and Zn was the same, while that of Cr and Ni was relatively similar. Trace element concentrations increased in larger particles, decreased in the 50-74 mu m size fraction, and were lowest in the < 2 mu m size fraction. Multivariate analysis showed that Cu, Cd, Zn, and Pb originated from anthropogenic sources, while Cr, Ni, and Sc were of natural origin. The geo-accumulation index indicated serious Pb, As, and Cd pollution, but moderate to no Ni, Cr, and Hg pollution. The Tucker 3 model revealed three factors for particle fractions, metals, and samples. There were two factors in model A and three factors for both the metals and samples (models B and C, respectively). The potential ecological risk index shows that most of the study areas have very high potential ecological risk, a small portion has high potential ecological risk, and only a few sampling points on the perimeter have moderate ecological risk, with higher risk closer to the mining area.
机译：平谷区毗邻密云县，密云县是北京最大的饮用水源（密云水库）。万庄金矿和尾矿位于平谷，威胁到北京的饮用水安全。本研究从矿区和尾矿堆表面收集土壤样品，分析其理化性质，重金属含量和粒径分数，以研究污染程度与粒径之间的关系。金矿土壤样品中的大多数金属浓度超过了北京的背景水平。 As，Cd，Cu，Pb和Zn的空间分布相同，而Cr和Ni的空间分布相对相似。痕量元素的浓度在较大的颗粒中增加，在50-74微米大小的部分中降低，而在<2微米大小的部分中最低。多变量分析表明，Cu，Cd，Zn和Pb来源于人为来源，而Cr，Ni和Sc是自然来源。地质累积指数表明Pb，As和Cd污染严重，但Ni，Cr和Hg污染中等至无。 Tucker 3模型揭示了颗粒分数，金属和样品的三个因素。模型A中有两个因素，金属和样品中分别有三个因素（分别为模型B和C）。潜在生态风险指数表明，大多数研究区具有很高的潜在生态风险，一小部分具有较高的潜在生态风险，并且周边的仅有几个采样点具有中等生态风险，较高的风险靠近矿区。

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