Correlation Study and Regression Analysis of Water Quality of Chhoiya River (a tributary of river Ganga) in Bijnor District (UP, India)

Abstract

Physical and chemical parameters are monitored and used for assessment of water quality for three seasons namely rainy, winter, and summer of a medium-sized river “Chhoiya” in Bijnor District of Uttar Pradesh(India) so that it can be ascertained that the quality of water is fit for public consumption, recreation, irrigation and other purposes. The parameters are pH, electrical conductivity, total dissolved solids, total alkalinity, total hardness, total suspended solids, Nitrate, Sulphate, Dissolved oxygen, BOD, COD, and turbidity. There is a relationship between these parameters that shows that one parameter actually causes change in another parameter. We have used the statistical regression analysis method of three observation stations in all three seasons. A systematic correlation and regression study shows the significant linear relationship among different pairs of water quality parameters. The purpose of the present study is to establish a regression equation between two parameters, which can be used to predict the value of one parameter if the value of the other is known. This helps to find a tool that can be used to assess the value of physicochemical parameters and the extent of pollution theoretically, which is time-saving and cost- effective. This study was done from July 2017 to June 2018 on river Chhoiya to assess the quality of water and its suitability for various purposes.