Chemical oxygen demand and color removal from textile wastewater by UV/H2O2 using artificial neural networks

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dc.contributor.buuauthorYonar, Taner Yona
dc.contributor.buuauthorYalılı , Melike Kılıç
dc.contributor.departmentUludağ Üniversitesi/Mühendislik Fakültesi/Çevre Mühendisliği Bölümü.tr_TR
dc.contributor.orcid0000-0002-0387-0656tr_TR
dc.contributor.researcheridAAD-9468-2019tr_TR
dc.contributor.researcheridAAG-8505-2021tr_TR
dc.contributor.scopusid6505923781tr_TR
dc.contributor.scopusid55897413400tr_TR
dc.date.accessioned2024-02-26T10:30:18Z
dc.date.available2024-02-26T10:30:18Z
dc.date.issued2013-08-13
dc.description.abstractThe 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.en_US
dc.identifier.citationYonar, 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.en_US
dc.identifier.doihttps://doi.org/10.2175/106143014X14062131178277en_US
dc.identifier.eissn1554-7531
dc.identifier.endpage2165tr_TR
dc.identifier.issn1061-4303
dc.identifier.issue11tr_TR
dc.identifier.pubmed25509520tr_TR
dc.identifier.scopus2-s2.0-84922229422tr_TR
dc.identifier.startpage2159tr_TR
dc.identifier.urihttps://onlinelibrary.wiley.com/doi/full/10.2175/106143014X14062131178277en_US
dc.identifier.urihttps://hdl.handle.net/11452/39962en_US
dc.identifier.volume86tr_TR
dc.identifier.wos000343915000001tr_TR
dc.indexed.wosSCIEen_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.bapKUAP(M)-2013/47
dc.relation.journalWater Environment Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergitr_TR
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial neural networken_US
dc.subjectUV/H2O2en_US
dc.subjectChemical oxygen demand (COD)en_US
dc.subjectColoren_US
dc.subjectTextile wastewateren_US
dc.subjectAdvanced oxidation processesen_US
dc.subjectAqueous-solutionsen_US
dc.subjectDecolorizationen_US
dc.subjectAzo-dyeen_US
dc.subjectDegradationen_US
dc.subjectDyestuffsen_US
dc.subjectPhotodegradationen_US
dc.subjectPredictionen_US
dc.subjectEngineeringen_US
dc.subjectEnvironmental sciences & ecologyen_US
dc.subjectWater resourcesen_US
dc.subjectMarine & freshwater biologyen_US
dc.subjectColoren_US
dc.subjectColor removal (water treatment)en_US
dc.subjectTextilesen_US
dc.subjectNeural networksen_US
dc.subjectPhotooxidationen_US
dc.subjectOxygenen_US
dc.subjectTungstenen_US
dc.subjectDependent variablesen_US
dc.subjectTextile wastewateren_US
dc.subjectElimination processen_US
dc.subjectProcess Variablesen_US
dc.subjectIndependent variablesen_US
dc.subjectNeural modelingen_US
dc.subjectIndustrial wastewatersen_US
dc.subjectChemical oxygen demanden_US
dc.subjectArtificial neural networken_US
dc.subjectWastewateren_US
dc.subjectChemical oxygen demanden_US
dc.subjectUltraviolet radiationen_US
dc.subjectColoren_US
dc.subjectTextile industryen_US
dc.subjectHydrogen peroxideen_US
dc.subjectPhen_US
dc.subjectLight intensityen_US
dc.subjectPhotooxidationen_US
dc.subjectNumerical modelen_US
dc.subject.emtreeArticleen_US
dc.subject.emtreeArtificial neural networken_US
dc.subject.emtreeBiochemical oxygen demanden_US
dc.subject.emtreeChemical oxygen demanden_US
dc.subject.emtreeColoren_US
dc.subject.emtreePhen_US
dc.subject.emtreePhotooxidationen_US
dc.subject.emtreePriority journalen_US
dc.subject.emtreeReaction timeen_US
dc.subject.emtreeSuspended particulate matteren_US
dc.subject.emtreeTextile industryen_US
dc.subject.emtreeUltraviolet radiationen_US
dc.subject.emtreeWaste wateren_US
dc.subject.emtreeWaste water managementen_US
dc.subject.emtreeAnalysisen_US
dc.subject.emtreeArtificial neural networken_US
dc.subject.emtreeChemistryen_US
dc.subject.emtreeIndustrial wasteen_US
dc.subject.emtreePhotochemistryen_US
dc.subject.emtreeProceduresen_US
dc.subject.emtreeSewageen_US
dc.subject.emtreeTextile industryen_US
dc.subject.emtreeWaste wateren_US
dc.subject.emtreeWater pollutanten_US
dc.subject.emtreeHydrogen peroxideen_US
dc.subject.emtreeNitrogenen_US
dc.subject.emtreePhosphorusen_US
dc.subject.emtreeColoring agenten_US
dc.subject.emtreeHydrogen peroxideen_US
dc.subject.emtreeIndustrial wasteen_US
dc.subject.emtreeOxygenen_US
dc.subject.emtreeWaste wateren_US
dc.subject.emtreeWater pollutanten_US
dc.subject.meshColoring agentsen_US
dc.subject.meshHydrogen peroxideen_US
dc.subject.meshIndustrial wasteen_US
dc.subject.meshNeural networks (computer)en_US
dc.subject.meshOxygenen_US
dc.subject.meshPhotochemical processesen_US
dc.subject.meshTextile industryen_US
dc.subject.meshUltraviolet raysen_US
dc.subject.meshWaste disposal, fluiden_US
dc.subject.meshWaste wateren_US
dc.subject.meshWater pollutants, chemicalen_US
dc.subject.scopusAdvanced Oxidation; Ferrioxalate; Degradationen_US
dc.subject.wosEngineering, environmentalen_US
dc.subject.wosWater resourcesen_US
dc.subject.wosEnvironmental sciencesen_US
dc.subject.wosLimnologyen_US
dc.titleChemical oxygen demand and color removal from textile wastewater by UV/H2O2 using artificial neural networksen_US
dc.typeArticleen_US
dc.wos.quartileQ3 (Water Resources)en_US
dc.wos.quartileQ4en_US

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