中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Quantitative analysis of the factors influencing spatial distribution of soil heavy metals based on geographical detector

文献类型:期刊论文

作者Qiao, Pengwei1; Yang, Sucai1; Lei, Mei2; Chen, Tongbin2; Dong, Nan3
刊名SCIENCE OF THE TOTAL ENVIRONMENT
出版日期2019-05-10
卷号664页码:392-413
关键词Heavy metal pollution Influencing factors Influencing degree Interaction influence Risk zone Geographical detector
ISSN号0048-9697
DOI10.1016/j.scitotenv.2019.01.310
通讯作者Yang, Sucai(liepi_yangsc@163.com)
英文摘要With the rapid development of modem industry, heavy metals in the soil introduce the risk of serious pollution. To reduce this pollution risk, the following four research questions needed to be addressed: What are the main influencing factors of soil pollution? What is the degree of influence? Do factors operate independently or are they interconnected? Which regions have high pollution risk and should be paid more attention? The study area was in Huanjiang County, with 273 km(2), and geographical detector proved to be a useful tool to solve these four problems. We found that mine activity and pH value were the primary influencing factors for total and water-soluble heavy metals. The interaction effects of mine activity and soil type, pH values, and normalized difference vegetation index (NDVI) for total heavy metals, as well as pH value and mine activity for water-soluble heavy metals, were greater than the sum effect of two factors. Zones with a high concentration of heavy metals were closer to the road and farther from the mine area, which had low NDVI, large slope, high terrain, and large pH values. Concentrations of total heavy metals were higher in calcareous soils and in dryland and forests. Zones with a higher concentration of water-soluble heavy metals were closer to the mine and river, which had lower DEM and pH values The uncertainty of geographical detector was also analyzed on the basis of their interpolation accuracy and the stratification number of influencing factors, and we found that the existing sample numbers and the stratification number of influencing factors met the needs of geographical detector calculation. This study's conclusions are useful for soil pollution control and restoration. (C) 2019 Elsevier B.V. All rights reserved.
WOS关键词RISK-ASSESSMENT ; SOURCE IDENTIFICATION ; ECOLOGICAL RISK ; HEALTH-RISK ; LAND-USE ; CONTAMINATED SOILS ; AGRICULTURAL SOILS ; ORGANIC-MATTER ; TRACE-ELEMENTS ; ROADSIDE SOIL
资助项目Beijing Postdoctoral Research Foundation
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000460245600039
出版者ELSEVIER SCIENCE BV
资助机构Beijing Postdoctoral Research Foundation
源URL[http://ir.igsnrr.ac.cn/handle/311030/68580]  
专题中国科学院地理科学与资源研究所
通讯作者Yang, Sucai
作者单位1.Environm Protect Res Inst Light Ind, Beijing Key Lab Remediat Ind Pollut Sites, Beijing 100089, Peoples R China
2.Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.Comprehens Inst Geotech Invest & Surveying Ltd, Beijing 100007, Peoples R China
推荐引用方式
GB/T 7714
Qiao, Pengwei,Yang, Sucai,Lei, Mei,et al. Quantitative analysis of the factors influencing spatial distribution of soil heavy metals based on geographical detector[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2019,664:392-413.
APA Qiao, Pengwei,Yang, Sucai,Lei, Mei,Chen, Tongbin,&Dong, Nan.(2019).Quantitative analysis of the factors influencing spatial distribution of soil heavy metals based on geographical detector.SCIENCE OF THE TOTAL ENVIRONMENT,664,392-413.
MLA Qiao, Pengwei,et al."Quantitative analysis of the factors influencing spatial distribution of soil heavy metals based on geographical detector".SCIENCE OF THE TOTAL ENVIRONMENT 664(2019):392-413.

入库方式: OAI收割

来源:地理科学与资源研究所

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