Assessment of surface water quality using multivariate statistical approaches: A case study of the Jialingjiang river basin, China

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > 成都山地所知识仓储（2009年以前）

	Assessment of surface water quality using multivariate statistical approaches: A case study of the Jialingjiang river basin, China
	Jsong S.; Czhou W.
	2008
会议日期	MAY 15-17, 2008
会议地点	Henan Polytechn Univ, Jiaozuo
关键词	surface water quality principal component analysis geostatistical analysis Jialingjiang river basin geographical information system
页码	95-97
国家	PEOPLES R CHINA
英文摘要	Assessment of surface water quality is a complex data- and- time-consuming task. In this study, the application of different multivariate statistical approaches for the interpretation of a large and complex data matrix obtained during a monitoring program of surface waters in Jialingjiang river basin is presented. The dataset consists of analytical results in the river systems during from 2001 to 2005. Five physical and chemical parameters have been monitored on 36 key sampling sites on monthly basis. The dataset was treated using principal component analysis coupled to geostatistical analysis on principal components. Seven latent factors were identified as responsible for the data structure explaining 90% of the total variance of the dataset and are conditionally named organic, nutrient, physicochemical, weathering, soil-leaching and toxic-anthropogenic factors. Analysis shows that a parameter that is most important in contributing to water quality variation for one season may not be important for another season except for DOC and electrical conductance, which were always the most important parameters in contributing to water quality variations for all four seasons. A multivariate receptor model was also applied for source apportionment estimating the contribution of identified sources to the concentration of the physicochemical parameters. This study illustrates the usefulness of multivariate statistical techniques for analysis and interpretation of complex data sets, and in surface water quality assessment, identification of pollution sources/factors and understanding temporal/spatial variations in surface water quality for effective river water quality management.
源文献作者	Li, G ; Jia, Z ; Fu, Z
会议录	2008 PROCEEDINGS OF INFORMATION TECHNOLOGY AND ENVIRONMENTAL SYSTEM SCIENCES: ITESS 2008, VOL 1
会议录出版者	Henan Polytechn Univ
语种	英语
ISBN号	978-7-121-06302-2
WOS记录号	WOS:000257017700019
内容类型	会议论文
源URL	[http://ir.imde.ac.cn/handle/131551/34945]
专题	成都山地灾害与环境研究所_成都山地所知识仓储（2009年以前）
推荐引用方式 GB/T 7714	Jsong S.,Czhou W.. Assessment of surface water quality using multivariate statistical approaches: A case study of the Jialingjiang river basin, China[C]. 见:. Henan Polytechn Univ, Jiaozuo. MAY 15-17, 2008.