Akademik Veri Yönetim Sistemi
Journal of Water Process Engineering, cilt.77, 2025 (SCI-Expanded)
This study investigated the removal of chemical oxygen demand (COD) and color from real textile wastewater with a continuously operated electrooxidation process employing a Ti/PbO₂-IrO₂-RuO₂ anode. The effects of key operational parameters, such as current density, initial pollutant concentration, support electrolyte concentration, pH, and electrolysis time, on COD and color removal were investigated and optimized using Response Surface Methodology (RSM) based on a Box–Behnken design (BBD). The analysis of variance (ANOVA) results confirmed the statistical significance and high predictive capability of the developed quadratic models (R2 = 0.992 for COD and R2 = 0.984 for color removal). The most influential variables were found to be current density for COD removal and supporting electrolyte concentration for color removal. Numerical optimization predicted optimal conditions as a current density of 35.35 mA/cm2, an initial concentration of 1091 mg/L, 48.4 mM NaCl, a pH of 5.98, and an electrolysis time of 80.15 min. Under optimal conditions, validation tests yielded 95.21 % COD removal and 99.93 % color removal, with energy consumption measured at 38.228 kWh/m3 and 35.509 kWh/kg COD removal. These findings demonstrate that EOP is a highly efficient and environmentally sustainable advanced oxidation process for treating real textile wastewater. The study further demonstrates the effectiveness of RSM-BBD in optimizing complex wastewater treatment processes with a minimal number of experiments.