ABSTRACT

The present study aims to identify the influential quality parameters affecting WWQI, a parameter used to evaluate overall quality of secondary treated water of STP, Hanumangarh. Waste Water Quality Index (WWQI) was calculated using several measured physicochemical parameters of secondary treated water. The study was carried out for one year period and the parameters were measured fortnightly following standard methods. Each measured parameter was compared with its standard permissible limit as prescribed by BIS2296. The calculated values of WWQI reflected that secondary treated wastewater was of good quality. The correlation matrix used has approved the influence of pH, COD, BOD, Na+ and Mg2+ on WWQI with correlation coefficient (r)>0.5. These five parameters were examined using multiple linear regression analysis. R, R2 and adjusted R2 values of applied regression model reveal its utility and relevance and p-value indicate significance of the regression model. Considering significant parameters, regression equations were developed using MS-Excel software to predict WWQI and used to check degree of match. The results revealed that out of five parameters only three parameters pH, BOD and Na+ are statistically significant with p-value < 0.05, so are sufficient to predict treated water quality. The analysis provides an easy and rapid way to estimate as well as to monitor the water quality providing one step ahead towards treated water quality management. Keywords: Secondary Treated Waste Water, Waste Water Quality Index, Correlation coefficient, linear regression equation
Publication date: 15/01/2022

https://ijbpas.com/pdf/2022/January/MS_IJBPAS_2022_JAN_SPCL_1038.pdf

Download PDF
https://doi.org/10.31032/IJBPAS/2022/11.1.1038