Optimization of Electrocoagulation Process to Eliminate CODMn in Micro-Polluted Surface Water Using Response Surface Method

Abstract

To treat micro-polluted surface water with a better electrocoagulation (EC) process, a response surface method (RSM) was employed to optimize the process parameters. First, the main factor that affected the CODMn removal efficiency in the EC process was determined in single-factor experiments. Then, a quadratic regression model was generated using a RSM. The refined EC operating conditions were a current density of 1.57 mA · cm−2, an initial pH of 7.5, and an operation time of 32 minutes, which maximized the CODMn removal efficiency at 60.56%. Finally, the results of a verification test results corresponded with the calculated values, which indicated that the regression model was accurate and reliable.