Modelling level change in lakes using neuro-fuzzy and artificial neural networks

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dc.contributor.authorYarar, Alpaslan
dc.contributor.authorOnucyildiz, Mustafa
dc.contributor.authorCopty, Nadim K.
dc.date.accessioned2020-03-26T17:39:17Z
dc.date.available2020-03-26T17:39:17Z
dc.date.issued2009
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractAccurate estimation of level change in lakes and reservoirs in response to climatic variations is an important step for the development of sustainable water usage policies, particularly for complex hydrological systems such as Lake Beysehir, Turkey. In this study, level changes of Lake Beysehir were estimated using adaptive neuro-fuzzy inference system (ANFIS), artificial neural networks (ANN) and a seasonal autoregressive integrated moving average (SARIMA). The ANN and ANFIS models were first trained based on observed data between 1966 and 1984, and then used to predict water level changes over the test period extending from 1985 to 1990. The performances of the different models were evaluated by comparing the corresponding values of mean squared errors (MSE) and decisive coefficients (R-2). While all models produced acceptable results, the minimum MSE value (0.0057) and the maximum R-2 value (0.7930) were obtained with ANFIS model, followed by the three-layered artificial neural network model (ANN1). The lowest performance was observed with the SARIMA model. (c) 2008 Elsevier B.V. All rights reserved.en_US
dc.identifier.doi10.1016/j.jhydrol.2008.12.006en_US
dc.identifier.endpage334en_US
dc.identifier.issn0022-1694en_US
dc.identifier.issn1879-2707en_US
dc.identifier.issue03.04.2020en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage329en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.jhydrol.2008.12.006
dc.identifier.urihttps://hdl.handle.net/20.500.12395/23685
dc.identifier.volume365en_US
dc.identifier.wosWOS:000263742400016en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherELSEVIER SCIENCE BVen_US
dc.relation.ispartofJOURNAL OF HYDROLOGYen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectNeuro-fuzzyen_US
dc.subjectArtificial neural networksen_US
dc.subjectLevel changeen_US
dc.subjectLake Beysehiren_US
dc.titleModelling level change in lakes using neuro-fuzzy and artificial neural networksen_US
dc.typeArticleen_US

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