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首页> 外文期刊>The Science of the Total Environment >Management principles for heavy metal contaminated farmland based on ecological risk—A case study in the pilot area of Hunan province, China
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Management principles for heavy metal contaminated farmland based on ecological risk—A case study in the pilot area of Hunan province, China

机译：基于生态风险的重金属受污染农田管理原则 - 以湖南省试点区的案例研究

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摘要

A pilot project for farmland soil remediation was carded out in the Changsha-Zhuzhou-Xiangtan (CZX) area of Hunan province, China. However, the pilot project focused mainly on the risk of exposure to heavy metals on grain safety, and little attention was paid to the risk to ecosystem quality. The study selected three areas in counties of in the CZX, and focused on five high toxicity heavy metals-Cd (cadmium), Cr (chromium), Pb (lead), As (arsenic), Hg (mercury) to explore the potential ecological risks of the soil. Probabilistic ecological risk assessment (new method) and traditional methods were introduced to quantitatively evaluate the ecological risk Two target criteria levels (LC/EC/IC50 and NOEC/LOEC) were employed. Through constructing species sensitivity distribution (SSD) models and joint probability curves (UPC), the predicted no effect concentrations (PNECs) derived from the SSD models were 021, 1.57, 3.05, 0.86 and 0.16 mg/kg for Cd, Cr, Pb, As and Hg, respectively. Compared with the ecological risk assessment results of the traditional methods, the new method reached a different conclusion, Cr showed the highest risk, at 84.3%, which signified that there was an 84.3% probability that 5% of the species with their NOEC/LOECs exceeded in County C. Despite differences among the risk assessment approaches, all methods indicated that County C was the most contaminated. The case study signifies that traditional methods underestimated the soil ecological risk of exposure to heavy metals and there should be a strong focus on farmland ecosystem security. At the same time, this study provided a scientific basis for goal-setting in species protection and prioritizing ecosystem protection as a management principle for heavy metal contaminated farmland from the perspective of ecological risk. (C) 2019 Elsevier B.V. All rights reserved.
机译：中国湖南省长沙 - 株洲 - 湘潭（CZX）地区梳理农田土壤修复试点项目。然而，试点项目主要侧重于暴露于粮食安全性的重金属的风险，并且对生态系统质量的风险支付了很少的关注。该研究选择了CZX县中的三个区域，重点关注五个高毒性重金属-CD（镉），Cr（铬），Pb（铅），如（砷），HG（汞）探索潜在的生态学土壤的风险。概率生态风险评估（新方法）和传统方法被引入定量评估生态风险的生态风险，采用了两个目标标准水平（LC / EC / IC50和NOEC / LOEC）。通过构建物种灵敏度分布（SSD）模型和联合概率曲线（UPC），预测的没有SSD模型的效果浓度（PNECs）为CD，CR，PB的021,1.57,3.05,0.86和0.16mg / kg，和hg分别。与传统方法的生态风险评估结果相比，新方法达到了不同的结论，CR的风险最高，84.3％，表示有84.3％的概率，其中5％的巨头/洛克斯County C.尽管风险评估方法之间存在差异，但所有方法都表明County C是受污染的。案例研究表明，传统方法低估了暴露于重金属的土壤生态风险，并应强烈关注农田生态系统安全。与此同时，本研究为物种保护和实际系统保护优先考虑了生态系统保护原则，为生态系统的管理原则提供了科学依据，从生态风险的角度来看，重金属受污染的农田。 （c）2019 Elsevier B.v.保留所有权利。

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  • 来源
    《The Science of the Total Environment》 |2019年第20期|537-547|共11页
  • 作者

    Xu Xiangbo; Wang Ting; Sun Mingxing; Bai Yunli; Fu Chao; Zhang Linxiu; Hu Xiaoyan; Hagist Spencer;

  • 作者单位

    Chinese Acad Sci Inst Geog Sci & Nat Resources Res Key Lab Ecosyst Network Observat & Modeling Beijing 100101 Peoples R China|United Nations Environm Programme Int Ecosyst Management Partnership Beijing 100101 Peoples R China;

    Shanxi Univ Inst Loess Plateau Taiyuan 030006 Shanxi Peoples R China;

    Chinese Acad Sci Inst Geog Sci & Nat Resources Res Key Lab Ecosyst Network Observat & Modeling Beijing 100101 Peoples R China|United Nations Environm Programme Int Ecosyst Management Partnership Beijing 100101 Peoples R China;

    Chinese Acad Sci Inst Geog Sci & Nat Resources Res Key Lab Ecosyst Network Observat & Modeling Beijing 100101 Peoples R China|United Nations Environm Programme Int Ecosyst Management Partnership Beijing 100101 Peoples R China;

    Chinese Acad Sci Inst Geog Sci & Nat Resources Res Key Lab Ecosyst Network Observat & Modeling Beijing 100101 Peoples R China|United Nations Environm Programme Int Ecosyst Management Partnership Beijing 100101 Peoples R China;

    Chinese Acad Sci Inst Geog Sci & Nat Resources Res Key Lab Ecosyst Network Observat & Modeling Beijing 100101 Peoples R China|United Nations Environm Programme Int Ecosyst Management Partnership Beijing 100101 Peoples R China;

    Renmin Univ China Sch Environm & Nat Resources Beijing 100872 Peoples R China;

    Chinese Acad Sci Inst Geog Sci & Nat Resources Res Key Lab Ecosyst Network Observat & Modeling Beijing 100101 Peoples R China|United Nations Environm Programme Int Ecosyst Management Partnership Beijing 100101 Peoples R China;

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

    Heavy metals; Farmland; Soil; Probabilistic ecological risk; Ecosystem;

    机译：重金属;农田;土壤;概率生态风险;生态系统;

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