Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/4119
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dc.contributor.authorAyvaz, Mustafa Tamer.-
dc.date.accessioned2019-08-16T11:32:19Z
dc.date.available2019-08-16T11:32:19Z
dc.date.issued2007-
dc.identifier.issn0309-1708-
dc.identifier.urihttps://hdl.handle.net/11499/4119-
dc.identifier.urihttps://doi.org/10.1016/j.advwatres.2007.05.009-
dc.description.abstractThis study proposes an inverse solution algorithm through which both the aquifer parameters and the zone structure of these parameters can be determined based on a given set of observations on piezometric heads. In the zone structure identification problem fuzzy c-means (FCM) clustering method is used. The association of the zone structure with the transmissivity distribution is accomplished through an optimization model. The meta-heuristic harmony search (HS) algorithm, which is conceptualized using the musical process of searching for a perfect state of harmony, is used as an optimization technique. The optimum parameter zone structure is identified based on three criteria which are the residual error, parameter uncertainty, and structure discrimination. A numerical example given in the literature is solved to demonstrate the performance of the proposed algorithm. Also, a sensitivity analysis is performed to test the performance of the HS algorithm for different sets of solution parameters. Results indicate that the proposed solution algorithm is an effective way in the simultaneous identification of aquifer parameters and their corresponding zone structures. © 2007 Elsevier Ltd. All rights reserved.en_US
dc.language.isoenen_US
dc.relation.ispartofAdvances in Water Resourcesen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFuzzy c-means clusteringen_US
dc.subjectGroundwater modelingen_US
dc.subjectHarmony searchen_US
dc.subjectInverse problemsen_US
dc.subjectOptimum zone structureen_US
dc.subjectParameter estimationen_US
dc.subjectError analysisen_US
dc.subjectFuzzy clusteringen_US
dc.subjectHeuristic algorithmsen_US
dc.subjectOptimizationen_US
dc.subjectSensitivity analysisen_US
dc.subjectUncertainty analysisen_US
dc.subjectHarmony search algorithmen_US
dc.subjectPiezometric headsen_US
dc.subjectZone structureen_US
dc.subjectAquifersen_US
dc.subjectalgorithmen_US
dc.subjectaquiferen_US
dc.subjectcluster analysisen_US
dc.subjectflow modelingen_US
dc.subjectfuzzy mathematicsen_US
dc.subjectheuristicsen_US
dc.subjectinverse problemen_US
dc.subjectoptimizationen_US
dc.subjectparameterizationen_US
dc.titleSimultaneous determination of aquifer parameters and zone structures with fuzzy c-means clustering and meta-heuristic harmony search algorithmen_US
dc.typeArticleen_US
dc.identifier.volume30en_US
dc.identifier.issue11en_US
dc.identifier.startpage2326
dc.identifier.startpage2326en_US
dc.identifier.endpage2338en_US
dc.identifier.doi10.1016/j.advwatres.2007.05.009-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopus2-s2.0-34548359352en_US
dc.identifier.wosWOS:000250181400010en_US
dc.identifier.scopusqualityQ1-
dc.ownerPamukkale University-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.grantfulltextnone-
item.openairetypeArticle-
crisitem.author.dept10.02. Civil Engineering-
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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