Elucidating the differentiation of soil heavy metals under different land uses with geographically weighted regression and self-organizing map
文献类型:期刊论文
作者 | Wang, Zhan2,5; Xiao, Jun3; Wang, Lingqing2; Liang, Tao2; Guo, Qingjun2; Guan, Yunlan5; Rinklebe, Joerg1,4 |
刊名 | ENVIRONMENTAL POLLUTION
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出版日期 | 2020-05-01 |
卷号 | 260页码:10 |
关键词 | Heavy metal Human activity Land cover and land use Soil Spatial distribution |
ISSN号 | 0269-7491 |
DOI | 10.1016/j.envpol.2020.114065 |
通讯作者 | Wang, Lingqing(wanglq@igsnrr.ac.cn) |
英文摘要 | Intensive anthropogenic activity has triggered serious heavy metal contamination of soil. Land use and land cover (LULC) changes bear significant impacts, either directly or indirectly, on the distribution of heavy metal in soils. A total of 180 samples were acquired from various land covers at different depths, namely surface soils (020 cm) and subsurface soils (20-40 cm). Spatial interpolation, geographically weighted regression (GWR) and self-organizing map (SOM) were used to discern how variations in the spatial distributions of soil heavy metals were caused by human activities for different land uses, and how these pollutants contributed to environmental risks. The medium concentrations of Cd, Cr, Cu, Pb and Zn in surface soil all exceeded the corresponding local background values in flat cropland and developed area soil. The overall ecological risk level of the study varied from low to medium. The GWR model indicated that the land use intensity had a certain influence on the accumulation of heavy metals in the surface soil. K-means clustering of the SOM revealed that the type of LULC also contributed to the redistribution of heavy metals in the surface soil. (C) 2020 Elsevier Ltd. All rights reserved. |
WOS关键词 | TIANJIN-HEBEI REGION ; SPATIAL-DISTRIBUTION ; ECOLOGICAL RISK ; AGRICULTURAL SOILS ; CONTAMINATED SOILS ; COASTAL SEDIMENTS ; CHINA POLLUTION ; HUMAN HEALTH ; URBAN ; INDUSTRIAL |
资助项目 | National Key Research and Development Program of China[2018YFC1802800] ; Second Tibetan Plateau Scientific Expedition and Research Program (STEP)[2019QZKK1003] |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
WOS记录号 | WOS:000528537600034 |
出版者 | ELSEVIER SCI LTD |
资助机构 | National Key Research and Development Program of China ; Second Tibetan Plateau Scientific Expedition and Research Program (STEP) |
源URL | [http://ir.ieecas.cn/handle/361006/14760] ![]() |
专题 | 地球环境研究所_加速器质谱中心 |
通讯作者 | Wang, Lingqing |
作者单位 | 1.Univ Wuppertal, Inst Fdn Engn Water & Waste Management Soil & Gro, Sch Architecture & Civil Engn, Pauluskirchstr 7, D-42285 Wuppertal, Germany 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 3.Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710061, Peoples R China 4.Sejong Univ, Dept Environm, Dept Environm & Energy, Seoul 05006, South Korea 5.East China Univ Technol, Nanchang 330000, Jiangxi, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Zhan,Xiao, Jun,Wang, Lingqing,et al. Elucidating the differentiation of soil heavy metals under different land uses with geographically weighted regression and self-organizing map[J]. ENVIRONMENTAL POLLUTION,2020,260:10. |
APA | Wang, Zhan.,Xiao, Jun.,Wang, Lingqing.,Liang, Tao.,Guo, Qingjun.,...&Rinklebe, Joerg.(2020).Elucidating the differentiation of soil heavy metals under different land uses with geographically weighted regression and self-organizing map.ENVIRONMENTAL POLLUTION,260,10. |
MLA | Wang, Zhan,et al."Elucidating the differentiation of soil heavy metals under different land uses with geographically weighted regression and self-organizing map".ENVIRONMENTAL POLLUTION 260(2020):10. |
入库方式: OAI收割
来源:地球环境研究所
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