Drinking water quality management through correlation studies among various physicochemical parameters: A case study

Abstract

Statistical regression analysis of twelve data points of underground drinking water of IM2 hand pumps at Moradabad, India was carried out to study the correlation between various physicochemical parameters. Twelve water quality parameters of water of all sites were estimated following standard methods and procedures of sampling and estimation. Comparison of estimated values with W.H.O. standards revealed that water of study area is polluted and water quality management is urgently needed. Regression analysis of these data points suggests that conductivity of drinking water is an important parameter and it is significantly correlated with ten parameters out of twelve water quality parameters studied. It may be suggested that drinking water quality can be checked effectively by controlling the conductivity of water. Present study may be treated as one step ahead towards the drinking water quality management.