International Journal of Environmental Sciences

Volume 3 Issue 2 2012- September 2012    Pages: 870-880 <<Previous    Next>>

Assessment by multivariate statistical analysis of ground water geochemical data of Bankura, India

Author Information:

Bajpayee. S1, Das. R1, Ruj. B1, Adhikari. K2, Chatterjee. P.K1
1- Central Mechanical Engineering Research Institute (CSIR), Durgapur-713209, W. Bengal, India
4- Department of Geology, National Institute of Technology,
Durgapur- 713209, W. Bengal, India
ABSTRACT

Pearson correlation matrix and multiple linear regression analysis have been applied to a total number of 58 ground water samples, collected during pre and post monsoon seasons in 2009-2010 from north-eastern part of Bankura District, West Bengal, India. These samples were analyzed for various parameters such as pH,Total dissolved solids (TDS), Electrical Conductivity (EC), Total Hardness (TH), Nitrate (NO3), Sulphate (SO4), Sodium (Na), Potassium (K), Calcium (Ca), Magnesium (Mg), Chloride (Cl). The interactions between the different components of ground water and their relationship with TDS have been determined by computing Pearson correlation coefficients. It is revealed in this study that TDS and EC are important physicochemical water quality parameters, as they are strongly correlated with most of the constituents in the ground water. Statistical data analysis suggests that there is strong positive relationship (r=0.9 to1.0) between Mg-TH, Ca-TH, Cl-TH, Cl-Ca, Cl-Mg during pre monsoon period. However, exactly similar association is observed between Cl-Ca during post-monsoon seasons.

Keywords: Ground water, Pearson correlation, Regression analysis, Multivariate statistical method

DOI:10.6088/ijes.2012030132014

© 2012 Copyright by the authors, licensee Integrated Publishing Association.This is an open access article distributed under the Creative Commons Attribution License (3.0) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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