基于GIS的北京万庄金尾矿库及周边地区土壤重金属污染评价

胡凌霄, 佟磊, 冯加永, 应红梅, 林欢. 基于GIS的北京万庄金尾矿库及周边地区土壤重金属污染评价[J]. 矿产综合利用, 2025, 46(1): 80-85. doi: 10.3969/j.issn.1000-6532.2025.01.008
引用本文: 胡凌霄, 佟磊, 冯加永, 应红梅, 林欢. 基于GIS的北京万庄金尾矿库及周边地区土壤重金属污染评价[J]. 矿产综合利用, 2025, 46(1): 80-85. doi: 10.3969/j.issn.1000-6532.2025.01.008
HU Lingxiao, TONG Lei, FENG Jiayong, YING Hongmei, LIN Huan. GIS-based Evaluation of Heavy Metal Contamination in Soil of Wanzhuang Gold Tailing Pond and Surrounding Areas in Beijing[J]. Multipurpose Utilization of Mineral Resources, 2025, 46(1): 80-85. doi: 10.3969/j.issn.1000-6532.2025.01.008
Citation: HU Lingxiao, TONG Lei, FENG Jiayong, YING Hongmei, LIN Huan. GIS-based Evaluation of Heavy Metal Contamination in Soil of Wanzhuang Gold Tailing Pond and Surrounding Areas in Beijing[J]. Multipurpose Utilization of Mineral Resources, 2025, 46(1): 80-85. doi: 10.3969/j.issn.1000-6532.2025.01.008

基于GIS的北京万庄金尾矿库及周边地区土壤重金属污染评价

  • 基金项目: 国家自然科学基金项目(52070139)
详细信息
    作者简介: 胡凌霄(1991-),女,硕士,工程师,研究方向为环境分析化学
  • 中图分类号: TD989

GIS-based Evaluation of Heavy Metal Contamination in Soil of Wanzhuang Gold Tailing Pond and Surrounding Areas in Beijing

  • 针对北京万庄金尾矿库的土壤金属污染现象,对矿区、尾矿库、选矿厂共计182个土壤样品进行测试指标分析,运用内梅罗指数法对矿区土壤重金属元素进行污染评价,并通过Arc GIS软件对矿区土壤各金属污染元素在空间分布上进行分级绘制。结果显示,研究区污染程度为矿区>尾矿库>选矿厂,矿区污染元素中As、Pb严重超标,近乎22.8%的样品构成重度污染,尾矿库中As元素构成重度污染;其次中度污染的是Cd,研究区范围内普遍存在;而Cu、Zn表现为轻微污染,Cr、Ni几乎无污染。根据污染元素空间分布和污染程度推断研究区内土壤重金属元素由矿区、选矿厂和尾矿库不断向上游500 m和下游2 km范围内迁移,但并未影响生活区。本研究为此金尾矿库金属污染及治理提供了依据,也为其他矿区提供参考价值。

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  • 图 1  研究区污染元素空间分布

    Figure 1. 

    表 1  测试方法及仪器统计

    Table 1.  Test methods and instrument statistics

    污染元素 测试仪器 测试方法 检测标准
    Cd、Pb、Cu、Ni、Zn 等离子体质谱仪 ICP-MS(电感耦合等离子体质谱法) 电感耦合等离子体质谱法DZ/T0279.3—2016
    Cr X射线荧光光谱仪 XRF(X-射线荧光光谱法) X射线荧光光谱法DZ/T0279.1—2016
    As 原子荧光光度计 HG-AFS(氢化物-原子荧光光谱法) 氢化物发生-原子荧光光谱法DZ/T0279.13—2016
    Hg 原子荧光光度计 HG-AFS(氢化物-原子荧光光谱法) 蒸汽发生-冷原子荧光光谱法DZ/T0279.17—2016
    下载: 导出CSV

    表 2  测试指标统计

    Table 2.  Test index statistics

    元素/(mg/kg)极小值极大值中位数标准差均值CV背景值
    Cd0.05102.959.3310.152.860.4520.17
    Pb22.4712 846.551 756.221 805.64651.772.38424.4
    Cu23.051 342.73127.63137.4176.220.63026
    Ni24.1584.226.887.2234.870.40231.6
    Zn65.217 257.69754.67791.37322.450.77473
    Cr42.17207.3314.3315.7470.040.36471.7
    As0.094 471.22699.14722.61215.880.68510.34
    Hg0.020.990.130.160.120.1200.046
    下载: 导出CSV

    表 3  土壤质量分级标准

    Table 3.  Standard of soil quality classification

    评价方法 等级
    单因子
    指数法
    Pi <1 1~2 2~3 >3 -
    污染程度 清洁 轻污染 中污染 重污染 -
    内梅罗
    指数法
    PN ≤0.7 0.7~1 1~2 2~3 >3
    污染程度 安全 警戒 轻度污染 中度污染 重度污染
    下载: 导出CSV

    表 4  污染评价结果

    Table 4.  Pollution evaluation results

    研究区域元素CdPbCuNiZnCrAsHg
    矿区最小值1.6622.1570.8670.1140.2710.1632.0080.441
    最大值3.1575.0371.5540.3870.7190.4614.8510.994
    平均值2.1763.4251.1980.2720.5480.3053.0170.721
    尾矿库最小值1.3331.8520.6240.1010.1960.1421.8420.401
    最大值3.0124.8651.4230.3420.6450.4234.3320.884
    平均值2.0013.1471.0630.2230.4570.2562.5510.614
    选矿厂最小值1.0151.5570.5340.0950.1840.1281.5530.358
    最大值2.8414.6221.2390.3150.5540.3383.8560.771
    平均值1.7752.9541.0110.2040.3680.2292.3170.527
    下载: 导出CSV

    表 5  污染等级结果

    Table 5.  Pollution level results

    污染等级矿区尾矿库选矿厂
    样品个数比例样品个数比例样品个数比例
    安全59.3%1518.3%1127.0%
    警戒712.7%1011.5%510.8%
    轻度污染2138.7%2934.2%1431.9%
    中度污染916.5%1315.7%715.1%
    重度污染1222.8%1720.3%815.2%
    下载: 导出CSV
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出版历程
收稿日期:  2022-03-10
刊出日期:  2025-02-25

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