Correlation and Regression Analysis of Physicochemical Parameters of Wainganga River Water in Central India

Abstract

Wainganga River is the key source of water for few cities such as Balaghat, Seoni of Madhya Pradesh state and Bhandara, Gadchiroli of Maharashtra state. The river is main tributary of Godavari River and originates in the Mahadeo Hills in south-central Madhya Pradesh state of India near the villages Gopalganj in Seoni. The river flows in a winding course through two states Madhya Pradesh and Maharashtra with approximate length of around 579 km.

Based on the chemical analysis of eighteen physico-chemical parameters of river water, water quality of the river was assessed with the help of statistical analysis. The analytical results were analyzed statistically to calculate correlation coefficients and to plot the regression equations of thirty different pairs of water quality parameters. The objective of the study was to establish the relation between the analyzed water quality parameters with help of Correlation Matrix and Regression Analysis. The various water quality parameters have a significant correlation. The results proved to be a useful mean for rapid monitoring of water quality with the help of systematic calculations of correlation coefficient between parameters and regression analysis. The statistical regression and Correlation analysis has been found to be a time saving and cost effective technique. Explore linear correlation between different physicochemical water parameters can be treated as an advanced step ahead towards the drinking water quality management. In current study regression equation established between different parameters can be employed to forecast the level of other parameters if its counterpart is known.