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Optimization of Saline Wastewater Treatment Using Electrochemical Oxidation Process: Prediction by Rsm Method Publisher



Darvishmotevalli M1 ; Zarei A2 ; Moradnia M1, 3 ; Noorisepehr M4, 5 ; Mohammadi H6
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Authors Affiliations
  1. 1. Department of Environmental Health Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
  2. 2. Department of Environmental Health Engineering, Faculty of Health, Social Development and Health Promotion Research Center, Gonabad University of Medical Sciences, Gonabad, Iran
  3. 3. Department of Health Research Center, Kurdistan University of Medical Sciences, Sanandaj, Iran
  4. 4. Department of Environmental Health Engineering, Public Health School, Alborz University of Medical Sciences, Alborz, Iran
  5. 5. Research Center for Health, Safety and Environment (HSE), Alborz University of Medical Sciences, Alborz, Iran
  6. 6. Assistant Professor, Torbat Jam Faculty of Medical Sciences, Torbat jam, Iran

Source: MethodsX Published:2019


Abstract

Response surface methodology (RSM) was applied to find the optimum parameters for COD and TOC removal from saline wastewaters using electrochemical oxidation process. The independent variables considered were reaction time, pH, salt concentration, and voltage. Optimization of parameters was performed by analysis of variance (ANOVA). Quadratic regression equation was suggested as a model for prediction of chemical oxygen demand (COD) and total organic carbon (TOC) removal efficiency. The results indicated that the COD and TOC removal efficiencies at the optimal conditions of pH 7.69, reaction time of 30.71 min, salt content of 30. 94 g/L and voltage of 7.41 V were 91.78% and 68.49%, respectively. In terms of COD and TOC removal efficiency, the coefficients of determination were found to be 0.95 and 0.94, respectively. This study suggests that electro-oxidation is an effective process in decreasing COD and TOC from saline wastewaters. Further, RSM was a suitable technique for optimization of the variables involved in COD and TOC removal through electro-oxidation process. • The findings demonstrate that response surface methodology is a good tool for the optimization of parameters of the experimental data. • A quadratic model was suggested as a good model for COD and TOC removal prediction. • The findings proved good agreement between the experimental data and the predicted equation. © 2019 The Author(s)
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