Multiple Linear Regression Analysis to Identify Influential Water Quality Parameters of Dairy ETP

Rinku Chawla *

Department of Chemistry, SSGC Government PG College, Suratgarh, Rajasthan, India.
 
Research Article
International Journal of Science and Research Archive, 2022, 07(01), 608-615.
Article DOI: 10.30574/ijsra.2022.7.1.0203
Publication history: 
Received on 27 June 2022; revised on 19 September 2022; accepted on 28 September 2022
 
Abstract: 
The focus of this study was the statistical analysis of the secondary treated water quality of SARAS dairy effluent treatment plant, Hanumangarh, Rajasthan and find the most influential quality parameters for rapid water quality monitoring. For this, wastewater quality index (WWQI) was computed using sixteen measured physicochemical parameters like temperature, pH, EC, COD, BOD, TA, TH, TDS, Na+, K+, Ca2+, Mg2+, Cl-, SO42-, NO3- and F- as per standard methods. The WWQI values for recreational and irrigation purpose range from 43.77 to 68.97, indicate excellent to good quality of treated water in terms of physicochemical parameters. Karl pearson correlation results indicated pairs COD-BOD, COD-WWQI, BOD-WWQI, pH– WWQI, TH – Ca2+, TH – Mg2+, TA - WWQI and NO3- - SO42- are observed with highly significant levels (0.8 < r < 1.0). The statistical method, multiple linear regression (MLR) analysis was performed using MS excel software to proportionate contribution of each independent variable to the overall variance. This analysis evaluated BOD as statistically the most significant with p-value < 0.05, so is sufficient to predict treated water quality.
 
Keywords: 
Effluent treatment plant; Secondary treated water; Physico-chemical parameters; WWQI; Correlation matrix; Multiple linear regression analysis
 
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