Potential hot spots contaminated with exogenous, rare earth elements originating from e-waste dismantling and recycling
文献类型：期刊论文
| 作者 | Wang, Siyu2,3; Xiong, Zhunan2,3; Wang, Lingqing2; Yang, Xiao2; Yan, Xiulan2; Li, You2; Zhang, Chaosheng1; Liang, Tao2,3 |
| 刊名 | ENVIRONMENTAL POLLUTION
 |
| 出版日期 | 2022-09-15 |
| 卷号 | 309页码:11 |
| 关键词 | E -waste Anthropogenic REE Factor contribution Hot spot Influencing mechanism |
| ISSN号 | 0269-7491 |
| DOI | 10.1016/j.envpol.2022.119717 |
| 通讯作者 | Liang, Tao(liangt@igsnrr.ac.cn) |
| 英文摘要 | Dismantling and recycling e-waste has been recognized as a potential emission source of rare earth elements (REEs). However, the presence of REEs in typical regional soils has yet to be studied. Given the potential health implications of such soil contamination, it is vital to study the characteristics, spatial distribution, and pollution level of REEs caused by e-waste dismantling as well as determine the influencing mechanism. This study focused on Guiyu Town as an example site, which is a typical e-waste dismantling base. From the site, 39 topsoil samples of different types were collected according to grid distribution points. Soil profiles were also collected in the dismantling and non-dismantling areas. The REE characteristic parameters showed that the REE distribution was abnormal and was affected by multiple factors. The results of the integrated pollution index showed that approximately 61.5% of soil samples were considered to be lightly polluted. Spatial distribution and correlation analysis showed that hot spots of REE-polluted soil coincided with known, main pollution sources. Moreover, there was a significant negative correlation (p <= 0.05) between the REE concentration and the distance from the pollution source. E-waste disassembly and recycling greatly affect the physical and chemical properties of the surrounding soil as well as downward migration areas. In the disassembly area, REE accumulated more easily in the surface layer (0-20 cm). Geographical detector results showed that distance factor was the main contribution factor for both light rare earth elements (LREE) and heavy rare earth element (HREE) (q = 34.59% and 53.33%, respectively). REE distribution in soil was nonlinear enhanced by different factors. Taken together, these results showed that e-waste disassembling and recycling not only directly affected the spatial distribution of REEs, but that their distribution was also affected by land use type and soil properties. |
| WOS关键词 | HEAVY-METAL CONTAMINATION ; SPATIAL-DISTRIBUTION ; FLAME RETARDANTS ; RISK-ASSESSMENT ; HEALTH-RISKS ; MINING AREA ; ROAD DUST ; SEDIMENTS ; SOILS ; POLLUTION |
| 资助项目 | Key Program of National Natural Science Foundation of China[42130713] ; Major Project of the National Natural Science Foundation of China[71991483] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000831061200005 |
| 出版者 | ELSEVIER SCI LTD |
| 资助机构 | Key Program of National Natural Science Foundation of China ; Major Project of the National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/166625]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liang, Tao |
| 作者单位 | 1.Natl Univ Ireland, Dept Geog, Galway, Ireland 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Siyu,Xiong, Zhunan,Wang, Lingqing,et al. Potential hot spots contaminated with exogenous, rare earth elements originating from e-waste dismantling and recycling[J]. ENVIRONMENTAL POLLUTION,2022,309:11. |
| APA | Wang, Siyu.,Xiong, Zhunan.,Wang, Lingqing.,Yang, Xiao.,Yan, Xiulan.,...&Liang, Tao.(2022).Potential hot spots contaminated with exogenous, rare earth elements originating from e-waste dismantling and recycling.ENVIRONMENTAL POLLUTION,309,11. |
| MLA | Wang, Siyu,et al."Potential hot spots contaminated with exogenous, rare earth elements originating from e-waste dismantling and recycling".ENVIRONMENTAL POLLUTION 309(2022):11. |
入库方式： OAI收割
来源：地理科学与资源研究所
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