title: Spatial distribution and source apportionment of water pollution in different administrative zones of Wen-Rui-Tang (WRT) river watershed, China.
abstract: Water quality degradation in river systems has caused great concerns all over the world. Identifying the spatial distribution and sources of water pollutants is the very first step for efficient water quality management. A set of water samples collected bimonthly at 12 monitoring sites in 2009 and 2010 were analyzed to determine the spatial distribution of critical parameters and to apportion the sources of pollutants in Wen-Rui-Tang (WRT) river watershed, near the East China Sea. The 12 monitoring sites were divided into three administrative zones of urban, suburban, and rural zones considering differences in land use and population density. Multivariate statistical methods [one-way analysis of variance, principal component analysis (PCA), and absolute principal component score-multiple linear regression (APCS-MLR) methods] were used to investigate the spatial distribution of water quality and to apportion the pollution sources. Results showed that most water quality parameters had no significant difference between the urban and suburban zones, whereas these two zones showed worse water quality than the rural zone. Based on PCA and APCS-MLR analysis, urban domestic sewage and commercial/service pollution, suburban domestic sewage along with fluorine point source pollution, and agricultural nonpoint source pollution with rural domestic sewage pollution were identified to the main pollution sources in urban, suburban, and rural zones, respectively. Understanding the water pollution characteristics of different administrative zones could put insights into effective water management policy-making especially in the area across various administrative zones.
authors: College of Environmental and Resource Sciences, Zhejiang University, Hangzhou, 310058, China.
authors: Liping
authors: L
authors: Yang
authors: Kun
authors: K
authors: Mei
authors: Xingmei
authors: X
authors: Liu
authors: Laosheng
authors: L
authors: Wu
authors: Minghua
authors: M
authors: Zhang
authors: Jianming
authors: J
authors: Xu
authors: Fan
authors: F
authors: Wang
mesh_terms: D000704:Analysis of Variance; D001151:Arsenic / Q000032:analysis; D057919:Biological Oxygen Demand Analysis; D002681:China; D003300:Copper / Q000032:analysis; D004784:Environmental Monitoring; D005461:Fluorine / Q000032:analysis; D016014:Linear Models; D009584:Nitrogen / Q000032:analysis; D010100:Oxygen / Q000032:analysis; D025341:Principal Component Analysis; D000644:Quaternary Ammonium Compounds / Q000032:analysis; D045483:Rivers; D014876:Water Pollution / Q000032:analysis*; D014881:Water Supply; D015032:Zinc / Q000032:analysis
chemical_list: D000644:Quaternary Ammonium Compounds; D005461:Fluorine; D003300:Copper; D015032:Zinc; D001151:Arsenic; D009584:Nitrogen; D010100:Oxygen
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