Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/6350
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dc.contributor.authorPerumal, Muthiah-
dc.contributor.authorTayfur, Gökmen-
dc.contributor.authorRao, C. Madhusudana-
dc.contributor.authorGürarslan, Gürhan-
dc.date.accessioned2017-10-13T11:26:22Z-
dc.date.available2017-10-13T11:26:22Z-
dc.date.issued2017-03-
dc.identifier.citationPerumal, M., Tayfur, G., Rao, C. M., and Gürarslan, G. (2017). Evaluation of a physically based quasi-linear and a conceptually based nonlinear Muskingum methods. Journal of Hydrology, 546, 437-449. doi:10.1016/j.jhydrol.2017.01.025en_US
dc.identifier.issn0022-1694-
dc.identifier.urihttp://doi.org/10.1016/j.jhydrol.2017.01.025-
dc.identifier.urihttp://hdl.handle.net/11147/6350-
dc.description.abstractTwo variants of the Muskingum flood routing method formulated for accounting nonlinearity of the channel routing process are investigated in this study. These variant methods are: (1) The three-parameter conceptual Nonlinear Muskingum (NLM) method advocated by Gillin 1978, and (2) The Variable Parameter McCarthy-Muskingum (VPMM) method recently proposed by Perumal and Price in 2013. The VPMM method does not require rigorous calibration and validation procedures as required in the case of NLM method due to established relationships of its parameters with flow and channel characteristics based on hydrodynamic principles. The parameters of the conceptual nonlinear storage equation used in the NLM method were calibrated using the Artificial Intelligence Application (AIA) techniques, such as the Genetic Algorithm (GA), the Differential Evolution (DE), the Particle Swarm Optimization (PSO) and the Harmony Search (HS). The calibration was carried out on a given set of hypothetical flood events obtained by routing a given inflow hydrograph in a set of 40 km length prismatic channel reaches using the Saint-Venant (SV) equations. The validation of the calibrated NLM method was investigated using a different set of hypothetical flood hydrographs obtained in the same set of channel reaches used for calibration studies. Both the sets of solutions obtained in the calibration and validation cases using the NLM method were compared with the corresponding solutions of the VPMM method based on some pertinent evaluation measures. The results of the study reveal that the physically based VPMM method is capable of accounting for nonlinear characteristics of flood wave movement better than the conceptually based NLM method which requires the use of tedious calibration and validation procedures.en_US
dc.language.isoenen_US
dc.publisherElsevier Ltd.en_US
dc.relation.ispartofJournal of Hydrologyen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectArtificial intelligence methodsen_US
dc.subjectConceptual designen_US
dc.subjectFlood routingen_US
dc.subjectOpen channelen_US
dc.subjectMuskingum methoden_US
dc.subjectNonlinear equationsen_US
dc.titleEvaluation of a physically based quasi-linear and a conceptually based nonlinear Muskingum methodsen_US
dc.typeArticleen_US
dc.authoridTR2054en_US
dc.contributor.departmentIzmir Institute of Technology. Civil Engineeringen_US
dc.identifier.volume546en_US
dc.identifier.startpage437en_US
dc.identifier.endpage449en_US
dc.identifier.wosWOS:000395607700036
dc.identifier.scopusSCOPUS:2-s2.0-85010902357
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1016/j.jhydrol.2017.01.025-
dc.relation.doi10.1016/j.jhydrol.2017.01.025en_US
dc.coverage.doi10.1016/j.jhydrol.2017.01.025en_US
item.openairetypeArticle-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.languageiso639-1en-
crisitem.author.deptDepartment of Civil Engineering-
Appears in Collections:Civil Engineering / İnşaat Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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