Multivariate statistical techniques for the evaluation of groundwater quality of Amaravathi River Basin: South India

Evaluation of Groundwater Chemistry of a Central Kerala River Basin, India using Multivariate Analysis

Statistical processing of data was necessary to arrive at a reasonable conclusion regarding the chemical behavior of groundwater in a river basin. Multivariate analysis was done to elucidate the groundwater chemistry of a Central Kerala River basin. Hydrochemical parameters like EC, pH, TDS, TH, Ca, Mg, Na, K, Cl, F, HCO 3 +CO 3 , SO 4 , total Fe were estimated in the pre- monsoon and post-mons...

Evaluation of seasonal variability in surface water quality of Shallow Valley Lake, Kashmir, India, using multivariate statistical techniques

Seasonal variation in water quality of Anchar Lake was evaluated using multivariate statistical techniques- principal component analysis (PCA) and cluster analysis (CA). Water quality data collected during 4 seasons was analyzed for 13 parameters. ANOVA showed significant variation in pH (F3 = 10.86, P < 0.05), temperature (F3 = 65, P

Evaluation of seasonal variability in surface water quality of Shallow Valley Lake, Kashmir, India, using multivariate statistical techniques

Seasonal variation in water quality of Anchar Lake was evaluated using multivariate statistical techniques- principal component analysis (PCA) and cluster analysis (CA). Water quality data collected during 4 seasons was analyzed for 13 parameters. ANOVA showed significant variation in pH (F3 = 10.86, P < 0.05), temperature (F3 = 65, P

Assessment of Water Quality Using Multivariate Statistical Techniques in the Ying River Basin, China by

Assessment and Management of Ganga River Water Quality Using Multivariate Statistical Techniques in India

Multivariate statistical techniques, such as cluster analysis and principal component analysis (PCA), were applied for evaluation of spatial variations and interpretation of large complex water quality data set of the Ganga river basin, generated during one year (2013-2014) monitoring of eight water parameters at seven different sites. Hierarchical cluster analysis grouped seven sampling sites ...