Apportionment and Spatial Pattern Analysis of Soil Heavy Metal Pollution Sources Related to Industries of Concern in a County in Southwestern China
文献类型：期刊论文
| 作者 | Chen, Xiaohui1,3; Lei, Mei1,3; Zhang, Shiwen2; Zhang, Degang1,3; Guo, Guanghui1; Zhao, Xiaofeng1,3 |
| 刊名 | INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
 |
| 出版日期 | 2022-06-01 |
| 卷号 | 19期号:12页码:14 |
| 关键词 | heavy metals industries of concern source apportionment spatial patterns prevention distance |
| DOI | 10.3390/ijerph19127421 |
| 通讯作者 | Lei, Mei(leim@igsnrr.ac.cn) |
| 英文摘要 | Soil heavy metal pollution is frequent around areas with a high concentration of heavy industry enterprises. The integration of geostatistical and chemometric methods has been used to identify sources and the spatial patterns of soil heavy metals. Taking a county in southwestern China as an example, two subregions were analyzed. Subregion R1 mainly contained nonferrous mining, and subregion R2 was affected by smelting. Two factors (R1F1 and R1F2) associated with industry in R1 were extracted through positive matrix factorization (PMF) to obtain contributions to the soil As (64.62%), Cd (77.77%), Cu (53.10%), Pb (75.76%), Zn (59.59%), and Sb (32.66%); two factors (R2F1 and R2F2) also related to industry in R2 were extracted to obtain contributions to the As (53.35%), Cd (32.99%), Cu (53.10%), Pb (56.08%), Zn (67.61%), and Sb (42.79%). Combined with PMF results, cokriging (CK) was applied, and the z-score and root-mean square error were reduced by 11.04% on average due to the homology of heavy metals. Furthermore, a prevention distance of approximately 1800 m for the industries of concern was proposed based on locally weighted regression (LWR). It is concluded that it is necessary to define subregions for apportionment in area with different industries, and CK and LWR analyses could be used to analyze prevention distance. |
| WOS关键词 | RECEPTOR MODELS ; TOXIC ELEMENTS ; GEOSTATISTICS ; REMEDIATION ; CATCHMENT ; SEDIMENTS ; PROVINCE ; RUNOFF ; FLUXES ; AREAS |
| 资助项目 | National Key R&D Program of China[2018YFC1800100] |
| WOS研究方向 | Environmental Sciences & Ecology ; Public, Environmental & Occupational Health |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000817647000001 |
| 资助机构 | National Key R&D Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/180591]  |
| 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, Ctr Environm Remediat, Beijing 100101, Peoples R China 2.Anhui Univ Sci & Technol, Sch Earth & Environm, Huainan 232001, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Xiaohui,Lei, Mei,Zhang, Shiwen,et al. Apportionment and Spatial Pattern Analysis of Soil Heavy Metal Pollution Sources Related to Industries of Concern in a County in Southwestern China[J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,2022,19(12):14. |
| APA | Chen, Xiaohui,Lei, Mei,Zhang, Shiwen,Zhang, Degang,Guo, Guanghui,&Zhao, Xiaofeng.(2022).Apportionment and Spatial Pattern Analysis of Soil Heavy Metal Pollution Sources Related to Industries of Concern in a County in Southwestern China.INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,19(12),14. |
| MLA | Chen, Xiaohui,et al."Apportionment and Spatial Pattern Analysis of Soil Heavy Metal Pollution Sources Related to Industries of Concern in a County in Southwestern China".INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 19.12(2022):14. |
入库方式： OAI收割
来源：地理科学与资源研究所
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