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Application of Surface Water Quality Classification Models Using Principal Components Analysis and Cluster AnalysisBy mohamed Ahmed Reda hamed
Abstract: Water quality monitoring has one of the highest priorities in surface water protection policy. Many variety approaches are being used to interpret and analyze the concealed variables that determine the variance of observed water quality of various source points. A considerable proportion of these approaches are mainly based on statistical methods, multivariate statistical techniques in particular. In the present study, the use of multivariate techniques is required to reduce the …
Published in International Journal of Water Resources Engineering · Vol. 5, Issue 1, 2019 · pp. 19–31 Read article →