A Hybrid Wavelet and Neuro-Fuzzy Model for Forecasting the Monthly Streamflow Data

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dc.contributor.authorYarar, Alpaslan
dc.date.accessioned2020-03-26T18:49:10Z
dc.date.available2020-03-26T18:49:10Z
dc.date.issued2014
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractResearchers have studied to forecast the streamflow in order to develop the water usage policy. They have used not only traditional methods, but also computer aided methods. Some black-box models, like Adaptive Neuro Fuzzy Inference Systems (ANFIS), became very popular for the hydrologic engineering, because of their rapidity and less variation requirements. Wavelet Transform has become a useful tool for the analysis of the variations in time series. In this study, a hybrid model, Wavelet-Neuro Fuzzy (WNF), has been used to forecast the streamflow data of 5 Flow Observation Stations (FOS), which belong to Sakarya Basin in Turkey. In order to evaluate the accuracy performance of the model, Auto Regressive Integrated Moving Average (ARIMA) model has been used with the same data sets. The comparison has been made by Root Mean Squared Errors (RMSE) of the models. Results showed that hybrid WNF model forecasts the streamflow more accurately than ARIMA model.en_US
dc.identifier.doi10.1007/s11269-013-0502-1en_US
dc.identifier.endpage565en_US
dc.identifier.issn0920-4741en_US
dc.identifier.issn1573-1650en_US
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage553en_US
dc.identifier.urihttps://dx.doi.org/10.1007/s11269-013-0502-1
dc.identifier.urihttps://hdl.handle.net/20.500.12395/30546
dc.identifier.volume28en_US
dc.identifier.wosWOS:000329809700017en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSPRINGERen_US
dc.relation.ispartofWATER RESOURCES MANAGEMENTen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectStreamflow modelingen_US
dc.subjectWaveleten_US
dc.subjectAnfisen_US
dc.subjectARIMAen_US
dc.titleA Hybrid Wavelet and Neuro-Fuzzy Model for Forecasting the Monthly Streamflow Dataen_US
dc.typeArticleen_US

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