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基于成土母质的矿产资源基地土壤重金属生态风险评价与来源解析
引用本文:卫晓锋,孙紫坚,陈自然,魏浩,孙厚云,刘卫,傅大庆.基于成土母质的矿产资源基地土壤重金属生态风险评价与来源解析[J].环境科学,2023,44(6):3585-3599.
作者姓名:卫晓锋  孙紫坚  陈自然  魏浩  孙厚云  刘卫  傅大庆
作者单位:中色紫金地质勘查(北京)有限责任公司, 北京 100012;中国地质大学地球科学与资源学院, 北京 100083;北京矿产地质研究院有限责任公司, 北京 100012;河北地质大学河北省战略性关键矿产资源重点实验室, 石家庄 050031;华北地质勘查局五一四地质大队, 承德 067000
基金项目:河北省重点研发计划项目(19224205D);中国地质调查局项目(DD20160229-01,DD20190822)
摘    要:矿产资源基地具有资源经济与环境污染双重属性,阐明土壤重金属的空间分布特征、污染现状及其来源,有助于甄别“自然污染”和“人为污染”.以滦河流域滦平县红旗镇钒钛磁铁矿资源基地为研究对象,采用地累积指数、内梅罗指数和潜在生态风险指数评价土壤重金属污染特征,利用冗余分析(RDA)和正定矩阵因子分解法(PMF)解析土壤重金属污染来源.结果表明,矿产资源集中的中基性角闪岩类和片麻岩类变质岩母质的Cr、 Cu和Ni含量平均值是其他成土母质的1~2倍,Pb和As含量平均值低于其他母质区.河道冲洪积母质Hg含量平均值最高,Cd在中基性片麻岩类变质岩母质、酸性流纹质火山岩母质和河道冲洪积母质中含量平均值较高.土壤重金属地累积污染程度(Igeo)依次为:Cd>Cu>Pb>Ni>Zn>Cr>Hg>As.内梅罗综合污染指数(PN)变化范围为0.61~18.99,样点中10.00%和8.08%分别达到中度、重度污染,内梅罗单因子指数(Pi)显示中基性角闪岩类和片麻岩类变质岩母岩区的Cu、 Cd、 Cr和Ni...

关 键 词:矿产资源基地  重金属  污染分布特征  风险评价  来源解析
收稿时间:2022/6/26 0:00:00
修稿时间:2022/9/8 0:00:00

Ecological Risk Assessment and Source Apportionment of Heavy Metals in Mineral Resource Base Based on Soil Parent Materials
WEI Xiao-feng,SUN Zi-jian,CHEN Zi-ran,WEI Hao,SUN Hou-yun,LIU Wei,FU Da-qing.Ecological Risk Assessment and Source Apportionment of Heavy Metals in Mineral Resource Base Based on Soil Parent Materials[J].Chinese Journal of Environmental Science,2023,44(6):3585-3599.
Authors:WEI Xiao-feng  SUN Zi-jian  CHEN Zi-ran  WEI Hao  SUN Hou-yun  LIU Wei  FU Da-qing
Affiliation:Sino-Zijin Resources Co., Ltd., Beijing 100012, China;School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China;Beijing Institute of Geology for Mineral Resources Co., Ltd., Beijing 100012, China;Hebei Key Laboratory of Strategic Critical Mineral Resources, Hebei GEO University, Shijiazhuang 050031, China;514 Brigade of North China Geological Exploration Bureau, Chengde 067000, China
Abstract:Mineral resource bases have dual properties, e.g., mineral resources and environmental pollution. The latter could be classified into natural and anthropogenic pollution based on identifying the spatial distribution characteristics and sources of heavy metals in the soil. The Hongqi vanadium titano-magnetite mineral resources base in Luanping County, Luanhe watershed, was taken as the research object. The geo-accumulation index (Igeo), Nemerow comprehensive pollution index (PN), and potential ecological risk (Ei) were utilized to assess the soil heavy metal pollution characteristics, and redundancy analysis (RDA) and positive determinate matrix factorization (PMF) were employed to identify sources of the soil heavy metals. The results revealed that the mean contents of Cr, Cu, and Ni in the parent material of medium-basic hornblende metamorphic rock and medium-basic gneisses metamorphic rock were 1-2 times that in other parent materials in the concentrated area of mineral resources. However, the mean contents of Pb and As were lower. Fluvial alluvial-proluvial parent materials had the highest mean content of Hg, and the mean content of Cd was higher in the parent materials of medium-basic gneisses metamorphic rocks, acid rhyolite volcanic rocks, and fluvial alluvial-proluvial facies. The Igeodecreased in the following order:Cd>Cu>Pb>Ni>Zn>Cr>Hg>As. PN ranged from 0.61 to 18.99, and the sample proportion of moderate and severe pollution reached 10.00% and 8.08% respectively. Pi showed that the contents of Cu, Cd, Cr, and Ni were relatively higher in the parent material of intermediate-basic hornblende metamorphic rocks and intermediate-basic gneiss metamorphic rocks. Ei decreased in the order of Hg(58.06)>Cd(39.72)>As(10.98)>Cu(6.56) >Pb(5.60)>Ni(5.43)>Cr(2.01)>Zn(1.10). Samples whose RI was lower than 150 accounted for 84.27%, showing that the research area was predominantly at a slight potential ecological risk level. The sources of soil heavy metals were dominated by parent material weathering, followed by the mixed sources of agricultural activities and transportation, the exploitation of mining, and fossil burning, which accounted for 41.44%, 31.83%, 22.01%, and 4.73%, respectively. The risks of heavy metal pollution in the mineral resource base were characterized as multi-source instead of the single source from the mining industry. These research results provide the scientific basis for regional green mining development and eco-environmental protection.
Keywords:mineral resource base  heavy metals  distribution characteristics of pollution  risk assessment  source analysis
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