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首页> 外文期刊>RSC Advances >Heavy metal pollution and human health risk assessment at mercury smelting sites in Wanshan district of Guizhou Province, China
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Heavy metal pollution and human health risk assessment at mercury smelting sites in Wanshan district of Guizhou Province, China

机译：贵州省万山区汞冶炼地点的重金属污染与人体健康风险评估

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摘要

The Wanshan district of Guizhou Province has a long history of mercury mining and smelting. Previous studies have been carried out on heavy metal (HM) pollution in the soil around Wanshan (such as in urban and farmland areas), but these studies have not been conducted at mercury smelting sites. In this study, the distribution characteristics of As, Be, Cd, Cr, Cu, Hg, Ni, Sb, Pb and Zn and their sources in the shallow stratum (<10 m) of the mercury smelting site in the Wanshan district were analyzed. Human health risks were evaluated using deterministic risk assessment (DRA) and probabilistic risk assessment (PRA) models. The contribution rates of different HM sources to human health risks were also calculated. The maximum HM concentration in mercury smelting site soil occured in the shallow soil (0-1 m), and the concentration sequences were as follows: 358.51 mg kg(-1)(Hg) > 248.6 mg kg(-1)(Zn) > 67.42 mg kg(-1)(As) > 59.04 mg kg(-1)(Ni) > 57.56 mg kg(-1)(Pb) > 49.59 mg kg(-1)(Cr) > 46.65 mg kg(-1)(Sb) > 15.65 mg kg(-1)(Cu) > 2.02 mg kg(-1)(Be) > 0.78 mg kg(-1)(Cd). The variable coefficients (CVs) were 1.64 (As), 0.67 (Be), 3.15 (Cd), 1.89 (Cr), 0.95 (Cu), 3.08 (Hg), 0.79 (Ni), 1.41 (Sb), 0.68 (Pb) and 1.13 (Zn), respectively. The HM concentrations in deep soils (9 m) still exceed the local background values, suggesting that heavy metals in shallow soil have migrated downward in the site. Three pollution sources identified with the shallow soil (0-1 m) HMs using the positive matrix factorization (PMF) model, were mercury smelting and coal combustion mixed sources (As, Hg and Zn), parent material sources (Ni, Cu, Cr, Cd and Sb) and wastewater discharge sources (Cu and Pb), respectively. DRA indicated that oral ingestion was the main pathway affecting the carcinogenic risk (CR) and hazard quotient (HQ) of heavy metals. The total-CR of twenty-five sampling points is between 1.219 x 10(-6)and 3.446 x 10(-4), and the total-HQ is between 0.37 and 43.56. PRA results indicated that DRA will underestimate the health risk of all populations in Guizhou Province, especially female, and BW(a)is the most influential variable for the PRA results. Smelting and coal combustion mixed sources contributed the most CR (99.29%) and with an HQ of 89.38% were the major sources of pollution affecting human health.
机译：贵州省万山地区有水银采矿和冶炼的悠久历史。以前的研究已经在万山周围土壤进行了重金属（HM）污染（如在城市和耕地面积），但这些研究都没有在汞冶炼地点进行。在这项研究中，作为的分布特征，BE，镉，铬，铜，汞，镍，锑，铅，锌和它们的浅地层的汞冶炼部位在万山区的源（<10米）进行分析。使用确定性的风险评估（DRA）和概率风险评估（PRA）模型人类健康风险进行了评价。不同的HM来源对人体健康风险的贡献率也计算。在汞冶炼站点土壤最大HM浓度在浅层土壤（0-1米）发生，并且浓度序列如下：358.51毫克千克（-1）（汞柱）> 248.6毫克公斤（-1）（Zn）的> 67.42毫克公斤（-1）（AS）> 59.04毫克公斤（-1）（Ni）的> 57.56毫克公斤（-1）（PB）> 49.59毫克公斤（-1）（CR）> 46.65毫克公斤（ - 1）（SB）> 15.65毫克公斤（-1）（Cu）的> 2.02毫克公斤（-1）（BE）> 0.78毫克公斤（-1）（CD）。变系数（CVS）分别为1.64（如图），0.67（BE），3.15（CD），1.89（铬），0.95（铜），3.08（汞柱），0.79（镍），1.41（SB），0.68（铅）和1.13（Zn）的，分别。在深土壤中的HM浓度（9米）仍然超过当地的背景值，表明在浅层土壤的重金属已在现场向下迁移。与使用正矩阵分解的浅层土壤（0-1米）HMS（PMF）模型确定了三个污染源，分别为汞冶炼和煤燃烧混合源（砷，汞和锌），母质源（镍，铜，铬，Cd和Sb）的和分别废水排放源（铜和铅），。 DRA表明口服摄取是影响致癌风险（CR）和重金属的危险商数（HQ）的主要途径。的25采样点的总-CR是1.219之间×10（-6）和3.446×10（-4），总-HQ是0.37和43.56之间。 PRA结果表明，DRA会低估贵州省，特别是女性的所有人群的健康风险，并BW（一）是PRA结果最有影响力的变量。冶炼，煤炭燃烧的混合源的贡献最大CR（99.29％）和89.38％的HQ是污染的影响人类健康的主要来源。

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  • 来源
    《RSC Advances》 |2020年第39期|共14页
  • 作者

    Wu Zhiyuan; Zhang Lina; Xia Tianxiang; Jia Xiaoyang; Wang Shijie;

  • 作者单位

    Beijing Municipal Res Inst Environm Protect Beijing Key Lab Risk Modeling &

    Remediatian Conta Beijing 100037 Peoples R China;

    Beijing Municipal Res Inst Environm Protect Beijing Key Lab Risk Modeling &

    Remediatian Conta Beijing 100037 Peoples R China;

    Beijing Municipal Res Inst Environm Protect Beijing Key Lab Risk Modeling &

    Remediatian Conta Beijing 100037 Peoples R China;

    Beijing Municipal Res Inst Environm Protect Beijing Key Lab Risk Modeling &

    Remediatian Conta Beijing 100037 Peoples R China;

    Beijing Municipal Res Inst Environm Protect Beijing Key Lab Risk Modeling &

    Remediatian Conta Beijing 100037 Peoples R China;

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  • 正文语种 eng
  • 中图分类 化学;
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