Prediction via neural networks of the residual hydrogen peroxide used in photo-fenton processes for effluent treatment

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dc.contributor.authorGuimaraes, Oswaldo L. C.
dc.contributor.authorQueiroz de Aquino, Henrique Otavio
dc.contributor.authorOliveira, Ivy S.
dc.contributor.authorVillela, Darcy Nunes
dc.contributor.authorIzario, Helcio Jose
dc.contributor.authorSiqueira, Adriano Francisco
dc.contributor.authorSilva, Messias Borges
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T15:28:50Z
dc.date.available2014-05-20T15:28:50Z
dc.date.issued2007-08-01
dc.description.abstractThis communication proposes the use of neural networks in the prediction of residual concentrations of hydrogen peroxide from the treatment of effluents through Advanced Oxidative Processes (AOP's), in particular, the photo-Fenton process. To verify the efficiency of the oxidative process, the Chemical Oxygen Demand (COD) parameter, the values of which may be modified by the presence of oxidizing agents such as residual hydrogen peroxide, is frequently taken in account. The analysis of the H2O2 interference was performed by spectrophotometry at 450 nm wavelength, via the monitoring of the reaction of ammonia with metavanadate. The results of the hydrogen peroxide residual concentration were modeled via a feedforward neural network, with the correlation coefficients between actual and predicted values above 0.96, indicating good prediction capacity.en
dc.description.affiliationUniv São Paulo, Escola Engenharia Lorena, BR-12602810 São Paulo, Brazil
dc.description.affiliationSão Paulo State Univ UNESP, Sch Engn Guarantingueta, São Paulo, Brazil
dc.description.affiliationUnespSão Paulo State Univ UNESP, Sch Engn Guarantingueta, São Paulo, Brazil
dc.format.extent1134-1139
dc.identifierhttp://dx.doi.org/10.1002/ceat.200700113
dc.identifier.citationChemical Engineering & Technology. Weinheim: Wiley-v C H Verlag Gmbh, v. 30, n. 8, p. 1134-1139, 2007.
dc.identifier.doi10.1002/ceat.200700113
dc.identifier.issn0930-7516
dc.identifier.lattes9507655803234261
dc.identifier.urihttp://hdl.handle.net/11449/38573
dc.identifier.wosWOS:000248710900022
dc.language.isoeng
dc.publisherWiley-Blackwell
dc.relation.ispartofChemical Engineering & Technology
dc.relation.ispartofjcr1.588
dc.relation.ispartofsjr0,493
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjecthydrogen peroxidept
dc.subjectneural networkspt
dc.subjectphoto-Fentonpt
dc.titlePrediction via neural networks of the residual hydrogen peroxide used in photo-fenton processes for effluent treatmenten
dc.typeArtigo
dcterms.licensehttp://olabout.wiley.com/WileyCDA/Section/id-406071.html
dcterms.rightsHolderWiley-Blackwell
unesp.author.lattes9507655803234261
unesp.author.orcid0000-0002-6920-7507[6]
unesp.author.orcid0000-0002-8656-0791[7]

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