Show simple item record

dc.contributor.authorSofuoğlu, Sait Cemil
dc.contributor.authorSofuoğlu, Aysun
dc.contributor.authorBirgili, Savaş
dc.contributor.authorTayfur, Gökmen
dc.date.accessioned2016-05-03T12:51:25Z
dc.date.available2016-05-03T12:51:25Z
dc.date.issued2006-07
dc.identifier.citationSofuoğlu, S. C., Sofuoğlu, A., Birgili, S., and Tayfur, G. (2006). Forecasting ambient air SO2 concentrations using artificial neural networks. Energy Sources, Part B: Economics, Planning and Policy, 1(2), 127-136. doi:10.1080/009083190881526en_US
dc.identifier.issn1556-7249
dc.identifier.urihttp://doi.org/10.1080/009083190881526
dc.identifier.urihttp://hdl.handle.net/11147/4592
dc.description.abstractAn Artificial Neural Networks (ANNs) model is constructed to forecast SO 2 concentrations in Izmir air. The model uses meteorological variables (wind speed and temperature) and measured particulate matter concentrations as input variables. The correlation coefficient between observed and forecasted concentrations is 0.94 for the network that uses all three variables as input parameters. The root mean square error value of the model is 3.60 g/mt 3 . Considering the limited number of available input variables, model performances show that ANNs are a promising method of modeling to forecast ambient air SO 2 concentrations in Izmir.en_US
dc.language.isoengen_US
dc.publisherTaylor & Francisen_US
dc.relation.isversionof10.1080/009083190881526en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAir pollutionen_US
dc.subjectArtificial neural networksen_US
dc.subjectForecastingen_US
dc.subjectSulfur dioxideen_US
dc.subjectCorrelation coefficienten_US
dc.titleForecasting ambient air SO2 concentrations using artificial neural networksen_US
dc.typearticleen_US
dc.contributor.authorIDTR59409en_US
dc.contributor.authorIDTR27717en_US
dc.contributor.authorIDTR2054en_US
dc.contributor.institutionauthorSofuoğlu, Sait Cemil
dc.contributor.institutionauthorSofuoğlu, Aysun
dc.contributor.institutionauthorTayfur, Gökmen
dc.relation.journalEnergy Sources, Part B: Economics, Planning and Policyen_US
dc.contributor.departmentIzmir Institute of Technology. Chemical Engineeringen_US
dc.contributor.departmentIzmir Institute of Technology. Civil Engineeringen_US
dc.identifier.volume1en_US
dc.identifier.issue2en_US
dc.identifier.startpage127en_US
dc.identifier.endpage136en_US
dc.identifier.wosWOS:000241491900002
dc.identifier.scopusSCOPUS:2-s2.0-33748508614
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record