International Journal of Health and Allied Sciences


The fundamental need of human beings is safe water, but urban development is generating more polluted water creating the scarcity for drinkable water. Wastewater plants are used reduce the pollutants to less than maximum permissible limits to prevent the threat to the environment and human health. Henceforth, maintaining the waste water plant’s water quality standards before permitting into the water cycle. Subsequently, statistical prediction and evaluation are critical for determining the performance and improvement of wastewater treatment plants. The impact of multiple intrinsic and extrinsic factors on the characteristics of the Vidyaranyapuram Wastewater Treatment Plant (WWTP) in Mysuru was investigated in this report. Hence in the present study we have analyzed the in-fluent and treated effluent parameters from two years (January 2018 -December 2019), the plant's output was assessed using descriptive and statistical analysis of the quantity and quality data from both raw waste waters in-fluent and treated effluent. On analysis of parameters of wastewater treatment plant on monthly basis from January 2018- December 2019, the inflow rate was found to be reliant on precipitation rate and varied according to the season. The inflow temperature was found to be high in March and April than compared to other seasons of the study period. PH of the in-fluent was low whereas after treatment, the pH was reduced. The dependable parameters mainly Biological Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Total Soluble Solids (TSS), levels were well treated and optimized to the normal effluent eligible levels. BOD, COD, and TSS removal efficiencies is estimated with fair precision using multiple regression analysis (R2 = 0.919, 0.847, and 0.977, respectively).The relationship between the residuals and the model predicted values of Biological Oxygen Demand removal (BODr), Chemical Oxygen Demand removal (CODr), and Total Suspended Solids removal (TSSr) was also used to assess the model's fit to the results.