Water quality assessment of the chporian village, Uttarakhand: India using multivariate statistical approach

Abstract

In this study water samples were collected and analyzed for physico-chemical parameters like pH, Electrical Conductivity (EC), Turbidity (Turb), Total Dissolved Solids (TDS), Calcium (Ca2+), Magnesium (Mg2+), Chloride (Cl-), Total Alkalinity (TA) and Dissolved Oxygen (DO) etc, using a statistical method. There is a relationship between variables that shows that one variable causes changes in another variable. In this paper, a statistical regression analysis method for different sources at four field’s sites was calculated. This technique was studied and calculated the correlation coefficients between different physicochemical parameters of water samples. The results were also compared with the WHO water quality standards and it was concluded that most water samples do not seem to be drinking. The results have been shown to be a useful means of rapid observation of water quality through systematic calculations of parametric statistics between water parameters and multivariate analysis.