Performance Modeling of the Fenton Process Used as a Single Unit for Treating Raw Textile Effluent

Authors : Selman Türkeş, Hakan Güney, Bülent Sarı, Olcayto Keskinkan

Pages : 679-693

Doi:10.21605/cukurovaumfd.1560112

View : 29 | Download : 73

Publication Date : 2024-10-03

Article Type : Research Paper

Abstract :This study investigates the direct application of the Fenton Oxidation Process (FOP) to untreated textile wastewater, specifically from a woven fabric production facility. Under optimized conditions (pH 3, 0.7 g/L Fe+2, 2 mM H2O2), the process achieved significant removal efficiencies: 81% Chemical Oxygen Demand (COD), 80% Suspended Solids (SS), and 93% color removal. Artificial Neural Networks (ANN) and NARX-ANN were utilized in Matlab R2020a to model FOP performance, employing Levenberg-Marquardt (trainlm) and Scaled Conjugate Gradient (trainscg) algorithms. With a 9-20-3 network topology, the ANN model demonstrated superior predictive capability, achieving an R2 of 0.9843.
Keywords : Ham atıksu arıtma, Fenton prosesi, YSA, NARX YSA modelleri, Tekstil endüstrisi