Eutrophication and heavy metal pollution patterns in the water suppling lakes of China's south-to-north water diversion project
文献类型:期刊论文
作者 | Guo, Chuanbo3,5; Chen, Yushun1,5; Xia, Wentong1,5; Qu, Xiao1,5; Yuan, Hui2; Xie, Songguang1,5; Lin, Lian-Shin4 |
刊名 | SCIENCE OF THE TOTAL ENVIRONMENT |
出版日期 | 2020-04-01 |
卷号 | 711期号:1页码:10 |
ISSN号 | 0048-9697 |
关键词 | Self-organizing Map Heavy metals Eutrophication Multivariate analysis South-to-North Water Diversion Project Water quality safety |
DOI | 10.1016/j.scitotenv.2019.134543 |
英文摘要 | 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. |
WOS关键词 | ECOLOGICAL RISK-ASSESSMENT ; MULTIVARIATE STATISTICAL TECHNIQUES ; SELF-ORGANIZING MAP ; SOURCE IDENTIFICATION ; SURFACE-WATER ; SEASONAL-VARIATIONS ; EASTERN ROUTE ; MEILIANG BAY ; HUAIHE RIVER ; TAIHU LAKE |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
出版者 | ELSEVIER |
WOS记录号 | WOS:000509344700060 |
源URL | [http://ir.ihb.ac.cn/handle/342005/35080] |
专题 | 水生生物研究所_淡水生态学研究中心_期刊论文 |
通讯作者 | Chen, Yushun |
作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Gao Bao Shaobo Lake Fisheries Management Comm Jia, Yangzhou 225009, Jiangsu, Peoples R China 3.Fisheries & Oceans Canada, Pacific Biol Stn, 31062 Hammond Bay Rd, Nanaimo, BC V9T 6N7, Canada 4.West Virginia Univ, Dept Civil & Environm Engn, Morgantown, WV 26506 USA 5.Chinese Acad Sci, Inst Hydrobiol, State Key Lab Freshwater Ecol & Biotechnol, Wuhan 430072, Hubei, Peoples R China |
推荐引用方式 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. |
入库方式: OAI收割
来源:水生生物研究所
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