Optimization of saline wastewater treatment using electrochemical oxidation process: Prediction by RSM method

摘要

class="kwd-title">Method name: Optimization of saline wastewater treatment using electrochemical oxidation process: Prediction by RSM method class="kwd-title">Keywords: Saline wastewater, Electrochemical oxidation, RSM, Optimization class="head no_bottom_margin" id="abs0010title">AbstractResponse 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. class="first-line-outdent" id="lis0005">

• 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.