中国科学院重庆绿色智能技术研究院机构知识库

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	A method to evaluate correlations between monitoring items with water quality: A case study
	Dong, Jianhua1,2; Zhong, Jizong3; Guo, Wei4,5; Wang, Guoyin1
	2016
摘要	This case study delineates the evaluation and interpretation of a large water quality monitoring dataset obtained from a reach of a lake basin in China, using the multivariate statistical method-CSFPCA. This method was newly proposed to measure correlations between monitoring items and multivariate time-series water data with an explantation from the theory of principal components analysis (PCA), directly reflecting different importances of monitoring items in water quality changes. This application showed salinity, total solid, seawater specific gravity were closely associated with the water quality variations, in accordance with the analysis result of traditional PCA. This study indicates applicability and necessity of multivariate statistical techniques for evaluation and interpretation with a view to get better information from large water quality datasets.
发表期刊	Taiwan Water Conservancy
ISSN	04921505
卷号	64期号:4页码:81-90
通讯作者	Wang, Guoyin (wanggy@ieee.org)
收录类别	EI
语种	英语