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基于GIS对宁夏某铜银矿区周边土壤重金属来源解析
引用本文:张扣扣,贺婧,钟艳霞,魏琪琪,陈锋.基于GIS对宁夏某铜银矿区周边土壤重金属来源解析[J].环境科学,2022,43(11):5192-5204.
作者姓名:张扣扣  贺婧  钟艳霞  魏琪琪  陈锋
作者单位:宁夏大学地理科学与规划学院, 银川 750021;宁夏大学生态环境学院, 银川 750021;宁夏大学西北土地退化与生态恢复国家重点实验室培育基地, 银川 750021;淮安国家高新技术产业开发区管委会, 淮安 223300
基金项目:国家重点研发计划项目(2018YFC1802906);宁夏自然科学基金项目(2021AAC03032)
摘    要:以中卫市沙坡头区南部崾岘子沟汇水区为研究区,采用网格布点法采集0~20 cm表层土壤样品194份,对Ni、Cu、Zn、As、Ag、Cr、Cd、Hg和Pb这9种重金属元素进行含量测定,采用PMF源解析模型和IDW插值法分析重金属的来源和空间分布,利用ArcGIS空间统计分析工具进行空间自相关和聚类与异常值分析,得到土壤中重金属来源的分布区域.结果表明,研究区Hg、Ag、Cd和Pb平均值分别为背景值的20.48、3.13、2.23和1.12倍,Cd、Cu、Pb和As最大值分别为筛选值的10.92、5.52、2.03和1.39倍,污染较为严重;Cu、Cd、Pb和Hg的变异系数大小为:Cu (283.23%)>Cd (224.77%)>Pb (144.40%)>Hg (67.12%),受人类活动影响密切;PMF源解析得到4个主要污染源:自然母质源(32%)、矿业活动和交通运输综合源(17.1%)、工业活动和大气沉降综合源(40.3%)及农业活动和农田压砂综合源(10.6%),代表元素分别为Cr和Ni,As和Cu,Hg以及Cd;空间统计分析结果表明土壤重金属主要污染源为矿业活动和农业活动,污染严重的区域分布在研究区南部的矿区和研究区东部、中部和西北部的种植区.

关 键 词:土壤重金属  重金属源解析  PMF模型  空间统计分析  莫兰指数
收稿时间:2022/1/13 0:00:00
修稿时间:2022/3/20 0:00:00

Identification of Soil Heavy Metal Sources Around a Copper-silver Mining Area in Ningxia Based on GIS
ZHANG Kou-kou,HE Jing,ZHONG Yan-xi,WEI Qi-qi,CHEN Feng.Identification of Soil Heavy Metal Sources Around a Copper-silver Mining Area in Ningxia Based on GIS[J].Chinese Journal of Environmental Science,2022,43(11):5192-5204.
Authors:ZHANG Kou-kou  HE Jing  ZHONG Yan-xi  WEI Qi-qi  CHEN Feng
Affiliation:School of Geography and Planning, Ningxia University, Yinchuan 750021, China;School of Ecology and Environment, Ningxia University, Yinchuan 750021, China;National Key Laboratory Breeding Base of Northwest Land Degradation and Ecological Restoration, Ningxia University, Yinchuan 750021, China; Huai''an National New & High-Tech Industry Development Zone, Huai''an 223300, China
Abstract:This study area was based on the catchment area of the Yaoxianzi ditch located in the arid region of western China. A total of 194 topsoil samples of 0-20 cm depth were collected using the mesh distribution method. The contents of nine heavy metals (Ni, Cu, Zn, As, Ag, Cr, Cd, Hg, and Pb) were determined using ICP-MS. The source and spatial distribution of heavy metals were analyzed using PMF and IDW. Spatial autocorrelation and clustering and outlier analysis were performed using the Spatial Statistical Analysis tool of ArcGIS. The main sources and distribution areas of heavy metals in the soil were obtained through comprehensive analysis. In the study area, the average values of Hg, Ag, Cd, and Pb were 20.48, 3.13, 2.23, and 1.12 times the background values, and the maximum values of Cd, Cu, Pb, and As were 10.92, 5.52, 2.03, and 1.39 times the filter values, respectively. The coefficients of variation of Cu, Cd, Pb, and Hg were ordered as Cu(283.23%)>Cd(224.77%)>Pb(144.40%)>Hg(67.12%) and were closely affected by human activities. The heavy metals in the soil around mining areas came from four main sources:natural parent material (32%), the mixed source of mining activities and transportation (17.1%), the mixed source of industrial activities and atmospheric sedimentation (40.3%), and the mixed source of agricultural activity and putting sandy gravel in farmland (10.6%). Cr and Ni, As and Cu, Hg, and Cd could represent these four sources of heavy metal pollution, respectively. The main sources of soil heavy metal pollution were mining activities and agricultural activities. The heavily contaminated areas were distributed in the mining areas in the south of the study area and in the planting areas in the eastern, central, and northwestern parts of the study area.
Keywords:soil heavy metals  source identification of heavy metals  PMF model  spatial statistical analysis  Moran''s I
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