A COMBINED WAVELET AND NEURAL NETWORK MODEL FOR FORECASTING STREAMFLOW DATA

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dc.contributor.authorYarar, Alpaslan
dc.contributor.authorOnucyildiz, Mustafa
dc.contributor.authorCopty, Nadim K.
dc.date.accessioned2020-03-26T19:22:55Z
dc.date.available2020-03-26T19:22:55Z
dc.date.issued2016
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThe modeling of streamflow is often needed for the sustainable management of water resources and for the protection against flooding. Over the years numerous streamflow forecasting models have been developed, black-box models, like Artificial Neural Networks (ANN), have became quite popular in the field of hydrologic engineering, because of their rapidity and less data requirements compared to physics-based models. In this study, a hybrid model, Wavelet-Neural Network (WNN), for the prediction of streamflow is developed. The model incorporates ANN and wavelet transform for the analysis of variations in streamflow time series. For demonstration, the model is applied to streamflow data from four flow observation stations (FOS), located in the West Mediterranean Basin of Turkey. Monthly mean streamflow data from the four FOS were used in the model. Original series were decomposed sub-series by wavelet transform. These sub-series were used for ANN model. In order to evaluate the performance of the WNN model, a multi regression (MR) model was also developed based on the same data set. Results show that WNN model forecasts the streamflow more accurately than the MR model with correlations between estimated and observed streamflow data ranging from 0.84-0.88.en_US
dc.identifier.endpage5225en_US
dc.identifier.issn1018-4619en_US
dc.identifier.issn1610-2304en_US
dc.identifier.issue12en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage5217en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/33172
dc.identifier.volume25en_US
dc.identifier.wosWOS:000391345600017en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPARLAR SCIENTIFIC PUBLICATIONS (P S P)en_US
dc.relation.ispartofFRESENIUS ENVIRONMENTAL BULLETINen_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.subjectwavelet transformen_US
dc.subjectartificial neural networken_US
dc.subjectmulti regressionen_US
dc.titleA COMBINED WAVELET AND NEURAL NETWORK MODEL FOR FORECASTING STREAMFLOW DATAen_US
dc.typeArticleen_US

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