Statistical Analysis of Quality of Water in Various Water Shed for Kozhikode City, Kerala, India

• Published in: Aquatic procedia Vol. 4; pp. 1078 - 1085
• Main Authors: Viswanath, Narayanan C., Kumar, P.G. Dileep, Ammad, K.K.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 2015
• Subjects: Ground Water Quality; Multiple Linear Regression; Principal Component Analysis; Structural Equation Modeling; Multiple Linear Regression; Principal Component Analysis; Ground Water Quality; Structural Equation Modeling
• ISSN: 2214-241X; 2214-241X
• DOI: 10.1016/j.aqpro.2015.02.136

Ground water is the principal source for drinking water and other activities in Kozhikode town. Monitoring the ground water quality therefore is of utmost importance. In this paper a multivariate statistical analysis of quality of ground water has been carried out, based on thirty data points of water shed in Kozhikode city, Kerala, India. The parameters examined were PH, Electric conductivity, Total Dissolved Solids, Total Hardness, Chlorides, Calcium and Magnesium, Sodium, Potassium, Bicarbonates and Sulphates. A methodology for characterizing ground water quality of watersheds based on the above data that mingle multiple linear regression, principal component analysis and structural equation modeling is presented. The aim of this work is to analyze hydro chemical data in order to explore the groundwater samples and the origin of water mineralization, using mathematical method and modeling. Thus, with the help of MATLAB, a regression equation is explored for the sampled ground water. The structural equation modeling which has been carried out using IBM-SPSS Amos, allows a simultaneous analysis of the entire system of parameters.