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Eutrophication and heavy metal pollution patterns in the water suppling lakes of China's south-to-north water diversion project
Guo, Chuanbo1,5; Chen, Yushun1,2; Xia, Wentong1,2; Qu, Xiao1,2; Yuan, Hui3; Xie, Songguang1,2; Lin, Lian-Shin4
2020-04-01
Source PublicationSCIENCE OF THE TOTAL ENVIRONMENT
ISSN0048-9697
Volume711Issue:1Pages:10
Abstract

This study used non-supervised machine learning self-organizing maps (SOM) in conjunction with traditional multivariate statistical techniques (e.g., hierarchical cluster analysis, principle component analysis, Pearson's correlation analysis) to investigate spatio-temporal patterns of eutrophication and heavy metal pollution in the water supplying lakes (i.e., the Gao-Bao-Shaobo Lake, GBSL) of the eastern route of China's South-to-North Water Diversion Project (SNWDP-ER). A total of 28 water quality parameters were seasonally monitored at 33 sampling sites in the GBSL during 2016 to 2017 (i.e., 132 water samples were collected in four seasons). The results indicated that: 1) spatially, the western and south-western GBSL was relatively more eutrophic and polluted with heavy metals; and 2) temporally, the lakes suffered from high risks of heavy metal contamination in spring, but eutrophication in summer while water quality in winter was the best among the four seasons. Two main potential sources of pollution and transport routes were identified and discussed based on the pollution patterns. These findings contributed considerably to providing in-depth understanding of water pollution patterns, as well as potential pollution sources in the water-supplying region. Such understanding is crucial for developing pollution control and management strategies for this mega inter-basin water transfer project. (C) 2019 Elsevier B.V. All rights reserved.

KeywordSelf-organizing Map Heavy metals Eutrophication Multivariate analysis South-to-North Water Diversion Project Water quality safety
DOI10.1016/j.scitotenv.2019.134543
Indexed BySCI
Language英语
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
WOS IDWOS:000509344700060
WOS KeywordECOLOGICAL RISK-ASSESSMENT ; MULTIVARIATE STATISTICAL TECHNIQUES ; SELF-ORGANIZING MAP ; SOURCE IDENTIFICATION ; SURFACE-WATER ; SEASONAL-VARIATIONS ; EASTERN ROUTE ; MEILIANG BAY ; HUAIHE RIVER ; TAIHU LAKE
PublisherELSEVIER
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ihb.ac.cn/handle/342005/35081
Collection淡水生态学研究中心_期刊论文
Corresponding AuthorChen, Yushun
Affiliation1.Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Hubei, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Gao Bao Shaobo Lake Fisheries Management Comm Jia, Yangzhou 225009, Jiangsu, Peoples R China
4.West Virginia Univ, Dept Civil & Environm Engn, Morgantown, WV 26506 USA
5.Fisheries & Oceans Canada, Pacific Biol Stn, 31062 Hammond Bay Rd, Nanaimo, BC V9T 6N7, Canada
Recommended Citation
GB/T 7714
Guo, Chuanbo,Chen, Yushun,Xia, Wentong,et al. Eutrophication and heavy metal pollution patterns in the water suppling lakes of China's south-to-north water diversion project[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2020,711(1):10.
APA Guo, Chuanbo.,Chen, Yushun.,Xia, Wentong.,Qu, Xiao.,Yuan, Hui.,...&Lin, Lian-Shin.(2020).Eutrophication and heavy metal pollution patterns in the water suppling lakes of China's south-to-north water diversion project.SCIENCE OF THE TOTAL ENVIRONMENT,711(1),10.
MLA Guo, Chuanbo,et al."Eutrophication and heavy metal pollution patterns in the water suppling lakes of China's south-to-north water diversion project".SCIENCE OF THE TOTAL ENVIRONMENT 711.1(2020):10.
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