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Human health risk from soil heavy metal contamination under different land uses near Dabaoshan Mine, Southern China

机译:中国南方大宝山矿山不同土地利用方式对土壤重金属污染的人体健康风险

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摘要

Soil heavy metal contamination is a major environmental concern, and the ecological risk associated with heavy metals is increasing. In this paper, we investigated heavy metal contamination near Dabaoshan Mine by: using sequential indicator simulation to delineate the spatial patterns of soil data; fitting multiple linear regression models for heavy metal uptake by crops; interpreting land uses from remote sensing images and integrating the spatial patterns, uptake models and land uses into a dose-response model for human health risks from heavy metals. The areas with elevated soil heavy metal concentrations are mainly located at the Dabaoshan Mine site and in the watershed basins of the Hengshi, Tielong and Chuandu rivers. The average concentrations of Cu, Zn, Cd and Pb in soil in the study area are all above the natural soil background levels, but Cd is the major contributor to human health risk in the area. Areas of low soil pH are also found throughout the watershed basins of the Hengshi, Tielong and Chuandu rivers. Of the different land use types in the study area, agricultural and residential land uses have the highest human health risk because ingestion is the dominant exposure pathway for heavy metals. The spatial patterns of the heavy metal concentrations and soil pH indicate that the areas with the highest human health risk regions do not directly coincide with the areas of highest heavy metal concentrations, but do coincide with the areas of lower soil pH. The contamination with high concentrations of heavy metals provides the risk source, but the combination of high heavy metal concentrations, low pH and agricultural or residential land use is required for human health risks to be present. The spatial pattern of the hazard quotients indicates that Cd is the most important pollutant contributing to the human health risk.
机译:土壤重金属污染是主要的环境问题,与重金属有关的生态风险正在增加。在本文中,我们通过以下方法研究了大宝山矿附近的重金属污染:使用顺序指示器模拟来描绘土壤数据的空间格局;拟合用于作物吸收重金属的多个线性回归模型;从遥感影像中解释土地用途,并将空间模式,吸收模型和土地用途整合到重金属对人类健康风险的剂量反应模型中。土壤重金属含量较高的地区主要位于大宝山矿区和横式河,铁龙河和川度河的分水岭。研究区域土壤中Cu,Zn,Cd和Pb的平均浓度均高于自然土壤背景水平,但是Cd是该区域人类健康风险的主要贡献者。在横石河,铁龙河和川渡河的流域都发现了土壤pH低的地区。在研究区域的不同土地利用类型中,农业和居民用地具有最高的人类健康风险,因为摄入是重金属的主要暴露途径。重金属浓度和土壤pH值的空间格局表明,人类健康风险最高的区域与重金属浓度最高的区域不直接重合,而与土壤pH较低的区域重合。高浓度重金属的污染提供了风险来源,但是要存在人类健康风险,就需要将高浓度重金属,低pH值以及农业或住宅用地结合起来。危险商的空间格局表明,镉是造成人类健康风险的最重要污染物。

著录项

  • 来源
    《Science of the total environment》 |2012年第15期|p.45-54|共10页
  • 作者单位

    School of Environmental Science and Engineering, Sun Yat-Sen University, Guangzhou 510275, PR China,School of Environmental Science and Engineering, Guilin University of Technology, Guilin 541004, PR China;

    School of Environmental Science and Engineering, Sun Yat-Sen University, 135 Xingangxi Road, Guangzhou 510275, Guangdong, PR China;

    School of Environmental Science and Engineering, Sun Yat-Sen University, Guangzhou 510275, PR China;

    School of Environmental Science and Engineering, Sun Yat-Sen University, Guangzhou 510275, PR China;

    School of Environmental Science and Engineering, Sun Yat-Sen University, Guangzhou 510275, PR China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    human health risk; heavy metal; land use; heavy metal uptake model; dabaoshan mine;

    机译:人类健康风险;重金属;土地利用;重金属吸收模型大宝山矿;

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