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Quantitative Analysis of the Factors Influencing Soil Heavy Metal Lateral Migration in Rainfalls Based on Geographical Detector Software: A Case Study in Huanjiang County, China
Qiao, Pengwei1,2,3; Lei, Mei1; Guo, Guanghui1; Yang, Jun1; Zhou, Xiaoyong1; Chen, Tongbin1
2017-07-01
Source PublicationSUSTAINABILITY
ISSN2071-1050
Volume9Issue:7Pages:13
Corresponding AuthorLei, Mei(leim@igsnrr.ac.cn)
AbstractQuantitative analysis of the factors influencing heavy metal migration could be useful for controlling heavy metal migration. In this paper, a geographical detector was used to calculate the contributions of and interactions among factors in Huanjiang County, South China, covering an area of 273 km(2). In this paper, nine factors were analyzed. The results showed that, among these factors, soil type was the main factor influencing the migration of As, Pb and Cd; the other eight factors did not have big differences and were lower than soil type. In addition, there were obvious synergistic effects between the soil type and concentration of water-soluble heavy metals (CWS) and the concentration of water-insoluble heavy metals (CWI) and NDVI. Therefore, these factors of the study area were especially focused on. Furthermore, the results of the key factor identification and the high-risk region identification in the nine factors were reliable, based on the geographical detector software. Therefore, the geographical detector software could be used as an effective tool to quantitatively analyze the contribution of the factors, and identify the high-risk regions for the factors influencing soil heavy metal lateral migration in rainfalls.
Keywordsoil heavy metals lateral migration influential factors quantitative analysis contribution degree geographical detector
DOI10.3390/su9071227
WOS KeywordLAND-USE TYPES ; SPATIAL-DISTRIBUTION ; WATER REPELLENCY ; RUNOFF ; CONTAMINATION ; RIVER ; PB ; SEDIMENTS ; REGION ; VALLEY
Indexed BySCI
Language英语
Funding ProjectNational High Technology Research and Development Program of China (863 Program)[2014AA06A513] ; Project of Heavy Metal Risk Warning and Phytoremediation in Mining Concentrated Area[GJHZ201308] ; Study on Heavy Metal Accumulation Risk and Early Warning in Typical Ore Concentration Area[201111020-4]
Funding OrganizationNational High Technology Research and Development Program of China (863 Program) ; Project of Heavy Metal Risk Warning and Phytoremediation in Mining Concentrated Area ; Study on Heavy Metal Accumulation Risk and Early Warning in Typical Ore Concentration Area
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences ; Environmental Studies
WOS IDWOS:000406709500154
PublisherMDPI AG
Citation statistics
Cited Times:7[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/61620
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLei, Mei
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Environm Protect Res Inst Light Ind, Beijing 100048, Peoples R China
Recommended Citation
GB/T 7714
Qiao, Pengwei,Lei, Mei,Guo, Guanghui,et al. Quantitative Analysis of the Factors Influencing Soil Heavy Metal Lateral Migration in Rainfalls Based on Geographical Detector Software: A Case Study in Huanjiang County, China[J]. SUSTAINABILITY,2017,9(7):13.
APA Qiao, Pengwei,Lei, Mei,Guo, Guanghui,Yang, Jun,Zhou, Xiaoyong,&Chen, Tongbin.(2017).Quantitative Analysis of the Factors Influencing Soil Heavy Metal Lateral Migration in Rainfalls Based on Geographical Detector Software: A Case Study in Huanjiang County, China.SUSTAINABILITY,9(7),13.
MLA Qiao, Pengwei,et al."Quantitative Analysis of the Factors Influencing Soil Heavy Metal Lateral Migration in Rainfalls Based on Geographical Detector Software: A Case Study in Huanjiang County, China".SUSTAINABILITY 9.7(2017):13.
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