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基于Meta分析的中国工矿业场地土壤重金属污染评价

晏利晶 姜淼 赵庆良 王琨 王维业 党金霞 于成龙

晏利晶, 姜淼, 赵庆良, 王琨, 王维业, 党金霞, 于成龙. 基于Meta分析的中国工矿业场地土壤重金属污染评价[J]. 环境科学研究, 2023, 36(1): 9-18. doi: 10.13198/j.issn.1001-6929.2022.08.14
引用本文: 晏利晶, 姜淼, 赵庆良, 王琨, 王维业, 党金霞, 于成龙. 基于Meta分析的中国工矿业场地土壤重金属污染评价[J]. 环境科学研究, 2023, 36(1): 9-18. doi: 10.13198/j.issn.1001-6929.2022.08.14
YAN Lijing, JIANG Miao, ZHAO Qingliang, WANG Kun, WANG Weiye, DANG Jinxia, YU Chenglong. Evaluation of Soil Heavy Metal Pollution in China′s Industrial and Mining Sites Based on Meta-Analysis[J]. Research of Environmental Sciences, 2023, 36(1): 9-18. doi: 10.13198/j.issn.1001-6929.2022.08.14
Citation: YAN Lijing, JIANG Miao, ZHAO Qingliang, WANG Kun, WANG Weiye, DANG Jinxia, YU Chenglong. Evaluation of Soil Heavy Metal Pollution in China′s Industrial and Mining Sites Based on Meta-Analysis[J]. Research of Environmental Sciences, 2023, 36(1): 9-18. doi: 10.13198/j.issn.1001-6929.2022.08.14

基于Meta分析的中国工矿业场地土壤重金属污染评价

doi: 10.13198/j.issn.1001-6929.2022.08.14
基金项目: 国家重点研发计划项目(No.2019YFC1803802);城市水资源与水环境国家重点实验室探索类自主课题(No.2021TS04)
详细信息
    作者简介:

    晏利晶(1999-),女,贵州安顺人,yanlijing_hit@163.com

    通讯作者:

    王琨(1964-),女,山东济南人,教授,博士,主要从事重金属污染防治研究,wang02kun@163.com

  • 中图分类号: X53

Evaluation of Soil Heavy Metal Pollution in China′s Industrial and Mining Sites Based on Meta-Analysis

Funds: National Key Research and Development Program of China (No.2019YFC1803802); State Key Laboratory of Urban Water Resources and Water Environment, China (No.2021TS04)
  • 摘要: 工矿业活动是土壤重金属污染的重要来源之一. 由于早期企业管理体系不完善和环保意识薄弱等原因,我国工矿业土壤环境问题突出. 本文对2005—2022年中国知网、万方、Web of Science等数据库发表的关于我国工矿业土壤重金属污染的138篇文献(包含141处场地)进行Meta分析,并通过地累积指数法和潜在生态风险指数法评价我国工矿业地及周边土壤中Cd、Pb、Zn、Cu、As的污染情况、分布特征及行业特征. Meta分析随机效应模型的计算结果表明,与土壤背景值相比,我国工矿业场地及周边土壤中Cd、Pb、Zn、Cu、As的含量分别增加了897.42%、233.34%、232.34%、196.83%和171.29%. 重金属污染分布结果显示,东南沿海及长三角等经济发达地区工矿业土壤污染更严重,北方地区污染较轻,Cd是首要污染物. 从行业特征看,化石燃料开采场地及周边土壤中Pb、As含量与背景值差异不显著;有色金属矿开采导致土壤重金属含量显著升高,其中Cd污染十分突出,土壤Cd含量的增幅高达964.40%. 49.21%的有色金属矿区土壤存在极强潜在生态风险;化石燃料开采场区土壤污染较轻,潜在生态风险为中等风险及以下的点位占60.87%. 研究显示,Cd是我国工矿业土壤重金属污染的首要污染物,且有色金属矿开采造成的污染更严重.

     

  • 图  1  文献筛选流程

    Figure  1.  Literature selection flow chart

    图  2  已收集的全国141处工矿业污染场地分布

    注:底图来自自然资源部(http://bzdt.ch.mnr.gov.cn)下载的《中国地图1∶3 200万 32开 分省设色版 无邻国 划线二》. 审图号:GS京(2022)1325号. 下同.

    Figure  2.  Distribution of 141 collected industrial and mining sites in China

    图  3  不同区域工矿业场地土壤中各重金属含量的合并效应值(E++)

    注:括号内标注表示各组研究数量.

    Figure  3.  Combined effect value of soil heavy metal contents in different regions

    图  4  土壤重金属地累积指数(Igeo)的空间分布

    Figure  4.  Distribution of accumulation index (Igeo) for soil heavy metals

    图  5  区域平均地累积指数

    Figure  5.  Regional average geo-accumulation index

    图  6  不同行业场地土壤重金属含量的合并效应值(E++)

    注:括号内标注表示各组研究数量.

    Figure  6.  Combined effect value (E++) of soil heavy metal content in various industrial sites

    图  7  不同行业土壤重金属综合潜在生态风险等级分布

    注:标注百分数表示不同风险等级场地的占比.

    Figure  7.  Class distribution of comprehensive potential ecological risk for heavy metals of in different industry soils

    图  8  不同行业土壤重金属平均单因子潜在生态风险指数(${E_{\rm{r}}}^j$)及风险等级

    Figure  8.  Comparison of average one-factor potential ecological risk index for heavy metals in different industry soils

    表  1  调整后的潜在生态风险等级划分

    Table  1.   Adjusted classification of potential ecological risk levels

    ${E_{\rm{r}}}^j$单项潜在生态风险程度RI综合潜在生态风险程度
    <30轻微<60轻微
    30~60中等60~120中等
    60~120120~240
    120~240很强240~480很强
    >240极强>480极强
    下载: 导出CSV

    表  2  随机效应模型计算结果

    Table  2.   The calculation result of the stochastic effect model

    重金属nE++95% CII2/%
    Pb1151.204[0.921,1.487]99.91
    Cd1152.300[2.033,2.568]99.67
    As780.998[0.662,1.335]99.81
    Zn1051.201[0.963,1.440]99.83
    Cu1101.088[0.900,1.277]99.66
    下载: 导出CSV
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  • 收稿日期:  2022-06-13
  • 修回日期:  2022-07-27

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