Assessment of drinking water quality using principal component analysis and partial least square discriminant analysis: a case study at water treatment plants, Selangor
This study characterizes the drinking water quality on 28 water treatmentt plants in Selangor from 2009 to 2012 using multivariate techniques. The objectives of this study are to analyze the quality of collected drinking water and to detect the source of pollution for the most revealing parameters. The Partial Least Square Discriminant Analysis (PLS-DA) model showed a high correlation matrix of analysis for physicochemical quality of two types of water with 99.43% significant value. The classification matrix accuracy of the principal component analysis (PCA) highlighted 13 significant physico-chemical water quality parameters and 14 significant heavy metal parameters. PCA was carried out to identify the origin and source of pollution of each water quality parameters. Therefore, this study proves that chemometric method is the principle way to characterize the drinking water quality.
Keywords: partial least square, discriminant analysis; principal component analysis; drinking water quality