Water Quality Assessment Of Doon Valleystreams Using Multivariate Statistical Analysis

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Deepali Rana and S. K. Gupta

Department of Zoology, Uttaranchal College of Biomedical Sciences and Hospital, Sewlakhurd, Dehradun-248001 Uttarakhand, India.

 

 The present study highlights the utilization of multivariate statistical methods as a tool for water quality assessment. It was carried out using multivariate statistical techniques for analyzing the quality of water and monitoring the variables affecting the water quality of streams of Doon Valley. 15 physical and chemical parameters were sampled at 20 sampling stations set of 5 Rivers in East and West for two years (March, 2012-February, 2014). Results of these measurements were analyzed by multivariate procedures such as Pearson Product Moment Coefficient of Correlation (PPMCC) and Factor Analysis (FA) to understand the interrelationship of water quality parameters amongst themselves. This study illustrated the usefulness of multivariate statistical techniques for analysis and interpretation of complex data sets in water quality assessment, identification of pollution sources/factors and understanding spatial variations in water quality for effective river water quality management.

Keywords: Water quality, Doon Valley, Factor Analysis, Pearson Coefficient of correlation

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