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基于地理探测器的土壤重金属影响因子分析及其污染风险评价
引用本文:周伟,李丽丽,周旭,石佩琪,黄冬青. 基于地理探测器的土壤重金属影响因子分析及其污染风险评价[J]. 生态环境学报, 2021, 0(1): 173-180
作者姓名:周伟  李丽丽  周旭  石佩琪  黄冬青
作者单位:西南大学地理科学学院;北京大学城市与环境学院;中国科学院地理科学与资源研究所/资源与环境信息系统国家重点实验室;重庆交通大学建筑与城市规划学院
基金项目:中国博士后科学基金项目(2019M650821);重庆市教委基础研究项目(KJQN201800702);国家自然科学基金项目(41977337,41501575);重庆市技术创新与应用发展专项重点项目(cstc2019jscx-fxyd0236)。
摘    要:地理探测器能快速定量化揭示驱动重金属含量影响因素的强度,这对于重金属空间预测模型构建变量的确定和土壤污染修复措施的精准实施具有重要意义.利用地理探测器模型,对5种土壤重金属元素Cu、Zn、Pb、Cr、Ni的空间分布和11种环境因子的交互作用进行定量评估,通过单因子指数法进行重庆市土壤重金属污染风险评价.结果表明:研究区...

关 键 词:土壤重金属  地理探测器  单因子指数法  生态风险

Influence Factor Analysis of Soil Heavy Metal Based on Geographic Detector and Its Pollution Risk Assessment
ZHOU Wei,LI Lili,ZHOU Xu,SHI Peiqi,HUANG Dongqing. Influence Factor Analysis of Soil Heavy Metal Based on Geographic Detector and Its Pollution Risk Assessment[J]. Ecology and Environment, 2021, 0(1): 173-180
Authors:ZHOU Wei  LI Lili  ZHOU Xu  SHI Peiqi  HUANG Dongqing
Affiliation:(School of Geographical Sciences,Southwest University,Chongqing 400715,China;Sino-French Institute for Earth System Science,College of Urban and Environmental Sciences,Peking University,Beijing 100871,China;State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101,China;Department of Geography and Land and Resources,Chongqing Jiaotong University,Chongqing 400074,China)
Abstract:Geographic detector can quickly and quantitatively reveal the intensity of driving factors of heavy metal content,which is of great significance for the driving variables determination of heavy metal spatial prediction model and the accurate implementation of soil pollution remediation measures.In this paper,the interaction of the spatial distribution of five soil heavy metals(Cu,Zn,Pb,Cr,Ni)and 11 environmental factors were quantitatively evaluated by using the geographic detector model,and the risk assessment of soil heavy metal pollution in Chongqing was carried out by using the single factor index method.Results showed that:the average content of Cu,Zn,Cr and Pb in the study area was 1.3?1.4 times of the background value of Chongqing,and the content of Ni was lower than the background value;among them,Cu and Pb reached the heavy pollution level,and the other three heavy metals were moderate or light pollution level.Among the five heavy metals,Cu and Pb were highly variable(coefficient of variation was 0.57,0.4),Zn,Cr and Ni were moderately variable(coefficient of variation was 0.22?0.29),and the correlation among the elements was significant,which indicated that the heavy metal enrichment in the study area was greatly affected by human disturbance,and the pollution was complex or homologous.The factor detection showed that elevation,slope and soil type had the most significant explanatory power for the five heavy metal content,indicating that terrain and soil type were the main factors for the distribution variation of soil heavy metal.Interaction detection showed that the interaction between elevation and other factors was the dominant factor for the spatial variation of heavy metals,and climate conditions and soil types were also important factors.The spatial distribution of soil heavy metals was the result of multiple factors,and elevation,slope and soil type had strong explanatory power.These factors can be used as auxiliary variables in the spatial prediction model of soil heavy metal content,and can also promote the targeted implementation of heavy metal pollution control measures.
Keywords:soil heavy metals  geographic detectors  single factor index method  ecological risk
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