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Heavy Metals in the Surface Soil around a Coalmine: Pollution Assessment and Source Identification

机译:煤矿周围表层土壤中的重金属:污染评估和来源识别

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摘要

Coal mining in northern Anhui Province of China has led to a series of environmental problems. In this study, a total of 68 surface soil samples around a representative coalmine (the Haizi coalmine) in the area have been collected and then analyzed for seven kinds of heavy metal concentrations (Cu, Fe, Zn, Co, Ni, Mn and Pb) for getting information about their pollution degrees and sources. The results indicate that the metal concentrations are FeMnZnPbCuNiCo, and all of them have coefficients of variation ranging between 0.13 and 0.75, and low p-values (0.01) of normal distribution test except for Fe, Co and Ni, which suggests that their concentrations have been affected by multiple factors. The single pollution index and geo-accumulation index imply that zinc and lead are light pollution, and the Nemerow composite index and the potential ecological risk index suggest that the soils in this study are slightly polluted and with low potential ecological risk. The spatial distributions of the metal concentrations, along with the statistical analyses (including correlation, cluster and factor analyses) indicate that all of the metals can be classified to be two groups, the Fe-Co-Mn and Cu-Zn-Pb-Ni, which mean geogenic and anthropogenic sources, respectively, and their mean contributions for the heavy metal concentrations in the study area are 57.1% and 42.9%, respectively, as calculated by the Unmix model.
机译:中国安徽北部的煤矿开采导致了一系列环境问题。在这项研究中,收集了该地区代表性煤矿(海子煤矿)周围的68个表层土壤样品,然后分析了7种重金属浓度(Cu,Fe,Zn,Co,Ni,Mn和Pb)。 )以获取有关其污染程度和来源的信息。结果表明,金属浓度为Fe> Mn> Zn> Pb> Cu> Ni> Co,所有金属元素的变异系数在0.13至0.75之间,除正态分布试验外,p值均较低(<0.01)。 Fe,Co和Ni的含量,表明它们的浓度受到多种因素的影响。单一污染指数和地质累积指数表明锌和铅属于轻度污染,Nemerow综合指数和潜在生态风险指数表明本研究中的土壤受到轻微污染,潜在生态风险较低。金属浓度的空间分布以及统计分析(包括相关性,聚类和因子分析)表明,所有金属都可以分为两类:Fe-Co-Mn和Cu-Zn-Pb-Ni ,这是根据Unmix模型计算得出的,分别是指地源和人为源,它们对研究区域中重金属浓度的平均贡献分别为57.1%和42.9%。

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