AccScience Publishing / AJWEP / Volume 8 / Issue 2 / DOI: 10.3233/AJW-2011-8_2_13
RESEARCH ARTICLE

Assessment of Seasonal Variation in Surface Water Quality of Savitri River by Using Multivariate Statistical Techniques

P.B. Lokhande1* H.A. Mujawar1
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1 Department of Chemistry, Dr. Babasaheb Ambedkar Technological University Lonere - 402103, Raigad, Maharashtra, India
AJWEP 2011, 8(2), 105–112; https://doi.org/10.3233/AJW-2011-8_2_13
Submitted: 17 November 2007 | Accepted: 3 June 2010 | Published: 1 January 2011
© 2011 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

An attempt was made to study the physico-chemical parameters of Savitri river water using multivariate statistical techniques such as principal component analysis (PCA) and hierarchical cluster analysis. In this study, data of 26 water quality parameters for six sampling locations were analyzed during monsoon, winter and summer season of June, 2004 to May, 2007. Scree plots for the eigenvalues obtained in this study shows pronounced seasonal change in slope. Water Quality Index (WQI) values were found to be increasing during the seasons and indicate the deterioration of water quality in summer season. Cluster analysis demonstrates that the surface water character changes significantly with seasons.

Keywords
Principal component analysis
cluster analysis
water quality index
Conflict of interest
The authors declare they have no competing interests.
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Asian Journal of Water, Environment and Pollution, Electronic ISSN: 1875-8568 Print ISSN: 0972-9860, Published by AccScience Publishing