Spatio-Temporal Patterns and Source Identification of Water Pollution in   Lake Taihu (China)

doi:10.3390/w8030086

CORC > 北京大学 > 城市与环境学院

	Spatio-Temporal Patterns and Source Identification of Water Pollution in Lake Taihu (China)
	Chen, Yan ; Zhao, Kangping ; Wu, Yueying ; Gao, Shuoshuo ; Cao, Wei ; Bo, Yan ; Shang, Ziyin ; Wu, Jing ; Zhou, Feng
刊名	WATER
	2016
关键词	Lake Taihu river water quality source identification temporal variation multivariate analysis spatial variation MULTIVARIATE STATISTICAL-METHODS TEMPORAL VARIATIONS SOURCE APPORTIONMENT HONG-KONG SPATIAL-DISTRIBUTION QUALITY ASSESSMENT CLUSTER-ANALYSIS RIVER MANAGEMENT SEDIMENTS
DOI	10.3390/w8030086
英文摘要	Various multivariate methods were used to analyze datasets of river water quality for 11 variables measured at 20 different sites surrounding Lake Taihu from 2006 to 2010 (13,200 observations), to determine temporal and spatial variations in river water quality and to identify potential pollution sources. Hierarchical cluster analysis (CA) grouped the 12 months into two periods (May to November, December to the next April) and the 20 sampling sites into two groups (A and B) based on similarities in river water quality characteristics. Discriminant analysis (DA) was important in data reduction because it used only three variables (water temperature, dissolved oxygen (DO) and five-day biochemical oxygen demand (BOD5)) to correctly assign about 94% of the cases and five variables (petroleum, volatile phenol, dissolved oxygen, ammonium nitrogen and total phosphorus) to correctly assign >88.6% of the cases. In addition, principal component analysis (PCA) identified four potential pollution sources for Clusters A and B: industrial source (chemical-related, petroleum-related or N-related), domestic source, combination of point and non-point sources and natural source. The Cluster A area received more industrial and domestic pollution-related agricultural runoff, whereas Cluster B was mainly influenced by the combination of point and non-point sources. The results imply that comprehensive analysis by using multiple methods could be more effective for facilitating effective management for the Lake Taihu Watershed in the future.; National Water Science and Technology Research Project [2013ZX07102-006]; National Natural Science Foundation of China [41201077]; Research Fund for the 111 Project [B14001]; SCI(E); EI; ARTICLE; chenyan@caep.org.cn; zhaokp@caep.org.cn; wuyy@caep.org.cn; gaoshuoshuo@pku.edu.cn; caowei@igsnrr.ac.cn; boyan@whu.edu.cn; zyshang@pku.edu.cn; jingwupku3@gmail.com; zhouf@pku.edu.cn; 3; 8
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/437650]
专题	城市与环境学院
推荐引用方式 GB/T 7714	Chen, Yan,Zhao, Kangping,Wu, Yueying,et al. Spatio-Temporal Patterns and Source Identification of Water Pollution in Lake Taihu (China)[J]. WATER,2016.
APA	Chen, Yan.,Zhao, Kangping.,Wu, Yueying.,Gao, Shuoshuo.,Cao, Wei.,...&Zhou, Feng.(2016).Spatio-Temporal Patterns and Source Identification of Water Pollution in Lake Taihu (China).WATER.
MLA	Chen, Yan,et al."Spatio-Temporal Patterns and Source Identification of Water Pollution in Lake Taihu (China)".WATER (2016).