Geostatistical analyses and co-occurrence correlations of heavy metals distribution with various types of land use within a watershed in eastern QingHai-Tibet Plateau, China
Dai, Lijun1; Wang, Lingqing1,2; Liang, Tao1,2; Zhang, Yongyong1,2; Li, Jing1,2; Xiao, Jun3; Dong, Linlin4; Zhang, Haidong4
刊名SCIENCE OF THE TOTAL ENVIRONMENT
2019-02-25
卷号653页码:849-859
关键词Heavy metal Co-occurrence network Geostatistics Geographically weighted regression Soil
ISSN号0048-9697
DOI10.1016/j.scitotenv.2018.10.386
通讯作者Wang, Lingqing(wanglq@igsnrr.ac.cn)
英文摘要Due to increasing anthropogenic disturbance, various pollutants have been frequently detected in QingHai-Tibet Plateau, where the environment is extremely fragile and sensitive to human activities. In this study, 51 sampling siteswith different land coverswere selected in a sub-basin in theHuangshui watershed in eastern QingHai-Tibet Plateau. A total of 102 soil samples were collected at surface (0-20 cm) and subsurface (20-40 cm) depths for studying on heavy metal pollution in this region. The relationships between land cover types and spatial distribution of five heavy metals Cr, Cu, Cd, Pb, and Zn were systematically analyzed combing field survey, remotesensing database, and geostatistical methods. The relationships between soil physiochemical properties and heavy metals were assessed by geostatistics, co-occurrence network analysis and geographically weighted regression (GWR) model. The results indicated that the average concentrations of all five heavy metals in soil were higher than the local background values, indicating the influence of anthropogenic inputs of these elements into environment. Strong positive correlations were observed between some heavy metals and soil physicchemical properties in different land covers, combinedwith the geoaccumulation index, human activities contribution can be interpolated. The Cr and Zn in surface soils are explainers for Cr and Zn in subsurface soils in the GWRmodels respectively, as well as the area of different land cover. Cd contamination was specifically analyzed due to its degree of contamination and then the sources of Cd were identified such as energy production as well as chemical fertilizers. The results of this study can provide basic data for long-termaccumulation of heavymetals in soils under different land uses in QingHai-Tibet Plateau. (c) 2018 Elsevier B. V. All rights reserved.
资助项目Strategic Priority Research Program A of the Chinese Academy of Sciences[XDA20010301] ; National Natural Scientific Foundation of China[41501326] ; National Natural Scientific Foundation of China[41501296]
WOS关键词RISK-ASSESSMENT ; SPATIAL-DISTRIBUTION ; SURFACE SOILS ; URBAN SOILS ; DONGTING LAKE ; HEALTH-RISK ; CONTAMINATION ; GIS ; ENRICHMENT ; SEDIMENT
WOS研究方向Environmental Sciences & Ecology
语种英语
出版者ELSEVIER SCIENCE BV
WOS记录号WOS:000458626800086
资助机构Strategic Priority Research Program A of the Chinese Academy of Sciences ; National Natural Scientific Foundation of China
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/49367]  
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.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710061, Peoples R China
4.Suzhou Acad Agr Sci, Suzhou 215155, Peoples R China
推荐引用方式
GB/T 7714
Dai, Lijun,Wang, Lingqing,Liang, Tao,et al. Geostatistical analyses and co-occurrence correlations of heavy metals distribution with various types of land use within a watershed in eastern QingHai-Tibet Plateau, China[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2019,653:849-859.
APA Dai, Lijun.,Wang, Lingqing.,Liang, Tao.,Zhang, Yongyong.,Li, Jing.,...&Zhang, Haidong.(2019).Geostatistical analyses and co-occurrence correlations of heavy metals distribution with various types of land use within a watershed in eastern QingHai-Tibet Plateau, China.SCIENCE OF THE TOTAL ENVIRONMENT,653,849-859.
MLA Dai, Lijun,et al."Geostatistical analyses and co-occurrence correlations of heavy metals distribution with various types of land use within a watershed in eastern QingHai-Tibet Plateau, China".SCIENCE OF THE TOTAL ENVIRONMENT 653(2019):849-859.
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