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
文献类型：期刊论文
| 作者 | Qiao, Pengwei1,2,3; Lei, Mei1 ; Guo, Guanghui1; Yang, Jun1; Zhou, Xiaoyong1; Chen, Tongbin1
|
| 刊名 | SUSTAINABILITY
 |
| 出版日期 | 2017-07-01 |
| 卷号 | 9期号:7页码:13 |
| 关键词 | soil heavy metals lateral migration influential factors quantitative analysis contribution degree geographical detector |
| ISSN号 | 2071-1050 |
| DOI | 10.3390/su9071227 |
| 通讯作者 | Lei, Mei(leim@igsnrr.ac.cn) |
| 英文摘要 | Quantitative 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. |
| WOS关键词 | LAND-USE TYPES ; SPATIAL-DISTRIBUTION ; WATER REPELLENCY ; RUNOFF ; CONTAMINATION ; RIVER ; PB ; SEDIMENTS ; REGION ; VALLEY |
| 资助项目 | National 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] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000406709500154 |
| 出版者 | MDPI AG |
| 资助机构 | National 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 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/61619]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Lei, Mei |
| 作者单位 | 1.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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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