Correlation and Regression Analysis of Water Quality Parameters for SARAS Dairy Effluent Treatment Plant- Hanumangarh, Rajasthan, India

The present paper is focused on the statistical analysis of the measured physico-chemical parameters of the secondary treated water of SARAS dairy effluent treatment plant, Hanumangarh, Rajasthan, India. The samples were collected from the outlet of ETP for a period of one year from February 2020 to January 2021 and analyzed for sixteen physico-chemical parameters. The measured parameters were used to calculate WWQI (waste water quality index). To identify the statistical relationship among water quality parameters and WWQI, correlation matrix was applied using MS excel data analysis for every pair of parameters and regression equation were formulated for pairs having highly significant (0.8<r<1.0) and moderately significant (0.6<r<0.8) correlation coefficients. The experimentally observed and predicted values for the dependent parameter are compared followed by the percentage error (% error) calculation. Scatter diagram for highly significant positive correlation (COD-BOD, COD-WWQI, BOD-WWQI, pH– WWQI, TH – Ca2+, TH – Mg2+, TA - WWQI and NO3- - SO42-) were plotted for clear depiction of the statistical observations. The parameters displaying significant correlation among each other indicate high interaction of the constituents in treated water. The present analysis provides an easy and rapid way to monitor the water quality of the study site.