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dc.contributor.authorÜlke, Aslı
dc.contributor.authorTayfur, Gökmen
dc.contributor.authorÖzkul, Sevinç
dc.date.accessioned2017-10-09T07:39:37Z
dc.date.available2017-10-09T07:39:37Z
dc.date.issued2017-02
dc.identifier.citationÜlke, A., Tayfur, G., and Özkul, S. (2017). Investigating a suitable empirical model and performing regional analysis for the suspended sediment load prediction in major rivers of the Aegean Region, Turkey. Water Resources Management, 31(3), 739-764. doi:10.1007/s11269-016-1357-zen_US
dc.identifier.issn0920-4741
dc.identifier.urihttp://doi.org/10.1007/s11269-016-1357-z
dc.identifier.urihttp://hdl.handle.net/11147/6318
dc.description.abstractThis study investigates the appropriateness of four major empirical methods [Lane and Kalinske, Einstein, Brooks, Chang—Simons—Richardson] for predicting suspended sediment loads (SSLs) in three major rivers in the Aegean Region, Turkey. The measured data from 1975 to 2005 were used to test performance of the models. It was found that Brooks method was more appropriate, among the others, for predicting suspended sediment loads from each river. The prediction results of Brooks method were further improved by the use of genetic algorithm (GA_Brooks) optimizing a fitting parameter and showing a comparable performance to those of artificial neural networks (ANNs) and neuro-fuzzy (ANFIS) models for the same rivers. GA_Brooks, ANNs, and ANFIS models can be used for predicting loads at a regional scale. The sensitivity analysis results revealed that suspended and bed material particle diameters affect suspended sediment loads significantly.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.isversionof10.1007/s11269-016-1357-zen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAegean regionen_US
dc.subjectBrooks methoden_US
dc.subjectEmpirical methodsen_US
dc.subjectRegional analysisen_US
dc.subjectSuspended sedimentsen_US
dc.titleInvestigating a suitable empirical model and performing regional analysis for the suspended sediment load prediction in major rivers of the Aegean Region, Turkeyen_US
dc.typearticleen_US
dc.contributor.authorIDTR2054en_US
dc.contributor.institutionauthorTayfur, Gökmen
dc.relation.journalWater Resources Managementen_US
dc.contributor.departmentİYTE, Mühendislik Fakültesi, İnşaat Mühendisliği Bölümüen_US
dc.identifier.volume31en_US
dc.identifier.issue3en_US
dc.identifier.startpage739en_US
dc.identifier.endpage764en_US
dc.identifier.wosWOS:000395000500002
dc.identifier.scopusSCOPUS:2-s2.0-84971009723
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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