2024-02-262024-02-262013-08-13Yonar, T. Y. ve Kılıç, M. Y. (2013). "Chemical oxygen demand and color removal from textile wastewater by UV/H2O2 using artificial neural networks". Water Environment Research, 86(11), 2159-2165.1061-4303https://onlinelibrary.wiley.com/doi/full/10.2175/106143014X14062131178277https://hdl.handle.net/11452/39962The photooxidation of pollutants, especially chemical oxygen demand (COD) and color, in textile industrial wastewater was performed in the presence of hydrogen peroxide (H2O2), using 256 nm UV light (15 W), to model the discoloration and COD elimination processes and characterize the influence of process variables. Within this study, data were obtained through a NeuroSolutions 5.06 model and successfully tested. Each sample was characterized by three independent variables (i.e., pH, H2O2 concentration, and time of operation) and two dependent variables (i.e., color and COD). The results indicated that pH was the predominant variable, and the reaction mean time and H2O2 volume were the less influential variables. The neural model obtained presented coefficients of correlation of 99% for COD and 97% for color, indicating the prediction power of the model and its character of generalization.eninfo:eu-repo/semantics/closedAccessArtificial neural networkUV/H2O2Chemical oxygen demand (COD)ColorTextile wastewaterAdvanced oxidation processesAqueous-solutionsDecolorizationAzo-dyeDegradationDyestuffsPhotodegradationPredictionEngineeringEnvironmental sciences & ecologyWater resourcesMarine & freshwater biologyColorColor removal (water treatment)TextilesNeural networksPhotooxidationOxygenTungstenDependent variablesTextile wastewaterElimination processProcess VariablesIndependent variablesNeural modelingIndustrial wastewatersChemical oxygen demandArtificial neural networkWastewaterChemical oxygen demandUltraviolet radiationColorTextile industryHydrogen peroxidePhLight intensityPhotooxidationNumerical modelColoring agentsHydrogen peroxideIndustrial wasteNeural networks (computer)OxygenPhotochemical processesTextile industryUltraviolet raysWaste disposal, fluidWaste waterWater pollutants, chemicalChemical oxygen demand and color removal from textile wastewater by UV/H2O2 using artificial neural networksArticle0003439150000012-s2.0-8492222942221592165861125509520https://doi.org/10.2175/106143014X14062131178277Engineering, environmentalWater resourcesEnvironmental sciencesLimnologyAdvanced Oxidation; Ferrioxalate; DegradationArticleArtificial neural networkBiochemical oxygen demandChemical oxygen demandColorPhPhotooxidationPriority journalReaction timeSuspended particulate matterTextile industryUltraviolet radiationWaste waterWaste water managementAnalysisArtificial neural networkChemistryIndustrial wastePhotochemistryProceduresSewageTextile industryWaste waterWater pollutantHydrogen peroxideNitrogenPhosphorusColoring agentHydrogen peroxideIndustrial wasteOxygenWaste waterWater pollutant1554-7531