IGSNRR OpenIR
Quantitative analysis of the factors influencing spatial distribution of soil heavy metals based on geographical detector
Qiao, Pengwei1; Yang, Sucai1; Lei, Mei2; Chen, Tongbin2; Dong, Nan3
2019-05-10
Source PublicationSCIENCE OF THE TOTAL ENVIRONMENT
ISSN0048-9697
Volume664Pages:392-413
Corresponding AuthorYang, Sucai(liepi_yangsc@163.com)
AbstractWith 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.
KeywordHeavy metal pollution Influencing factors Influencing degree Interaction influence Risk zone Geographical detector
DOI10.1016/j.scitotenv.2019.01.310
WOS KeywordRISK-ASSESSMENT ; SOURCE IDENTIFICATION ; ECOLOGICAL RISK ; HEALTH-RISK ; LAND-USE ; CONTAMINATED SOILS ; AGRICULTURAL SOILS ; ORGANIC-MATTER ; TRACE-ELEMENTS ; ROADSIDE SOIL
Indexed BySCI
Language英语
Funding ProjectBeijing Postdoctoral Research Foundation
Funding OrganizationBeijing Postdoctoral Research Foundation
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
WOS IDWOS:000460245600039
PublisherELSEVIER SCIENCE BV
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/68581
Collection中国科学院地理科学与资源研究所
Corresponding AuthorYang, Sucai
Affiliation1.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
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Qiao, Pengwei]'s Articles
[Yang, Sucai]'s Articles
[Lei, Mei]'s Articles
Baidu academic
Similar articles in Baidu academic
[Qiao, Pengwei]'s Articles
[Yang, Sucai]'s Articles
[Lei, Mei]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Qiao, Pengwei]'s Articles
[Yang, Sucai]'s Articles
[Lei, Mei]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.