Estimation of dam reservoir volume fluctuations using artificial neural network and support vector regression

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dc.contributor.authorUnes, F.
dc.contributor.authorYildirim, S.
dc.contributor.authorCigizoglu, H. K.
dc.contributor.authorCoskun, H.
dc.date.accessioned2024-09-18T20:15:00Z
dc.date.available2024-09-18T20:15:00Z
dc.date.issued2013
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description.abstractEstimation of reservoir volume fluctuation is important for the operation of dam reservoir, design of hydraulic structures; determine pollution in reservoir and the safety of dams. Artificial Neural Networks (ANN) and support vector regression (SVR) approach provides a common basis for quantitative modeling in this respect. In this study, reservoir volume was estimated using average monthly precipitation, monthly total volume of evaporation, dam spillway discharge volume, released irrigation water amount and periodicity. The data were collected on a monthly basis over the 29 years for Tahtakopru Dam in the southeast Mediterranean region of Turkey. For this purpose, three well known methods, artificial neural networks, support vector and multiple linear regressions were employed for estimating the reservoir volume. In this paper, a multi layer perception (MLP) methodology is used as the ANN approach. Levenberg-Marquardt training algorithm is used for optimization of the network. MLP and SVR results are compared to multi-linear regression (MLP) model results. The results show that reservoir volume was successfully estimated using ANN and SVR with low mean square error and high correlation coefficients.en_US
dc.identifier.endpage74en_US
dc.identifier.issn2307-1877
dc.identifier.issn2307-1885
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-84892649053en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage53en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12483/9376
dc.identifier.volume1en_US
dc.identifier.wosWOS:000341467600004en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherAcademic Publication Councilen_US
dc.relation.ispartofJournal of Engineering Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDam reservoiren_US
dc.subjectestimationen_US
dc.subjectmodelen_US
dc.subjectsupport vector regressionen_US
dc.subjectneural networksen_US
dc.titleEstimation of dam reservoir volume fluctuations using artificial neural network and support vector regressionen_US
dc.typeArticleen_US

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