2012
DOI: 10.1016/j.watres.2012.02.033
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Hydrochemical characteristics and water quality assessment of surface water and groundwater in Songnen plain, Northeast China

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Cited by 317 publications
(163 citation statements)
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“…Such contamination can be statistically interpreted and it is very useful due to its relative importance in evaluating the combination of large chemical variable dataset. In the last decades, methods such as hierarchical cluster analysis (HCA), discriminant analysis (DA), correlation analysis, and principal component analysis (PCA) have become accepted in identifying variations and sources of groundwater pollution (Zhang et al 2012;Gordana et al 2014). Principal component analysis (PCA) and Spearman's correlation matrix have been frequently applied to analyze the pollution parameters in groundwater (Selvakumar et al 2014).…”
Section: Introductionmentioning
confidence: 99%
“…Such contamination can be statistically interpreted and it is very useful due to its relative importance in evaluating the combination of large chemical variable dataset. In the last decades, methods such as hierarchical cluster analysis (HCA), discriminant analysis (DA), correlation analysis, and principal component analysis (PCA) have become accepted in identifying variations and sources of groundwater pollution (Zhang et al 2012;Gordana et al 2014). Principal component analysis (PCA) and Spearman's correlation matrix have been frequently applied to analyze the pollution parameters in groundwater (Selvakumar et al 2014).…”
Section: Introductionmentioning
confidence: 99%
“…The intercept of the LMWL was 2.7, much lower than the global meteoric water line value of 10, indicative of lower deuterium excess values in the warm season due to the evaporation effect of summer precipitation [45][46][47][48].…”
Section: Isotopic Signatures Of Water Resourcesmentioning
confidence: 77%
“…The water quality assessment by fuzzy evaluation matrix R and weight coefficient matrix W, = × (1 − 6) The fuzzy B is the matrix of membership to each water quality class. Water samples classified to the class with the maximize membership [22] .. [63] is the largest and F-is the least in surface water. The coefficient variation of turbidity is the largest in surface water, it could be effluents from agricultural return flow [27] ; it did not meet the World Health Organization(WHO1996) guideline for drinking water, which is set at 5 NTU [63] .…”
Section: Assessment Methods Of Surface Watermentioning
confidence: 99%