Elucidating the differentiation of soil heavy metals under different land uses with geographically weighted regression and self-organizing map

doi:10.1016/j.envpol.2020.114065

	Elucidating the differentiation of soil heavy metals under different land uses with geographically weighted regression and self-organizing map
	Wang, Zhan 1,2; Xiao, Jun 3; Wang, Lingqing 2; Liang, Tao 2; Guo, Qingjun 2; Guan, Yunlan 1; Rinklebe, Joerg 4,5
刊名	ENVIRONMENTAL POLLUTION
	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.
资助项目	National Key Research and Development Program of China[2018YFC1802800] ; Second Tibetan Plateau Scientific Expedition and Research Program (STEP)[2019QZKK1003]
WOS关键词	TIANJIN-HEBEI REGION ; SPATIAL-DISTRIBUTION ; ECOLOGICAL RISK ; AGRICULTURAL SOILS ; CONTAMINATED SOILS ; COASTAL SEDIMENTS ; CHINA POLLUTION ; HUMAN HEALTH ; URBAN ; INDUSTRIAL
WOS研究方向	Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000528537600034
资助机构	National Key Research and Development Program of China ; Second Tibetan Plateau Scientific Expedition and Research Program (STEP)
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/159946]
专题	中国科学院地理科学与资源研究所
通讯作者	Wang, Lingqing
作者单位	1.East China Univ Technol, Nanchang 330000, Jiangxi, Peoples R China 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.Univ Wuppertal, Inst Fdn Engn Water & Waste Management Soil & Gro, Sch Architecture & Civil Engn, Pauluskirchstr 7, D-42285 Wuppertal, Germany 5.Sejong Univ, Dept Environm, Dept Environm & Energy, Seoul 05006, South Korea
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.