PREDICTION OF DAILY STREAMFLOW USING JORDAN-ELMAN NETWORKS

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dc.contributor.authorAydın, Abdurrahim
dc.contributor.authorEker, Remzi
dc.date.accessioned2020-04-30T23:21:15Z
dc.date.available2020-04-30T23:21:15Z
dc.date.issued2012
dc.departmentDÜ, Orman Fakültesi, Orman Mühendisliği Bölümüen_US
dc.descriptionWOS: 000305777000002en_US
dc.description.abstractThe prediction of daily streamflow is required for future planning in water resource activities. This study presents the application of the Jordan-Elman network with the Levenberg-Marquardt algorithm. Prediction was made by using flow data of gauging station no. 2122 on Birs River, Switzerland between 2000 and 2010. The data, 4018 days in total, were used as calibration and validation sets for the chosen Jordan-Elman Neural Network architecture. Of the data obtained, 2922 days (1st January 2000 - 31st December 2007) were reserved for calibration, and remaining data were used for validation. In total, six different models were developed, based on the prediction of current flow from up to six-days-ahead flows. Mean square error (MSE), Nash-Sutcliffe Sufficiency Score (NSSS) and coefficient of correlation (R-value) were used as performance criteria. Model M-6 (six-days- ahead flows) gave the best results, with respect to all prediction performance criteria.en_US
dc.identifier.endpage1521en_US
dc.identifier.issn1018-4619
dc.identifier.issn1610-2304
dc.identifier.issue6Aen_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1515en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12684/4163
dc.identifier.volume21en_US
dc.identifier.wosWOS:000305777000002en_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.subjectDaily streamflowen_US
dc.subjectPredictionen_US
dc.subjectJordan-Elman networken_US
dc.subjectLevenberg-Marquardt algorithmen_US
dc.titlePREDICTION OF DAILY STREAMFLOW USING JORDAN-ELMAN NETWORKSen_US
dc.typeArticleen_US

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