Estimation of parameters in groundwater modelling by modified Clonalg

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dc.authorid0000-0002-7035-7078en_US
dc.contributor.authorEryiğit, Miraç
dc.date.accessioned2023-05-31T08:35:32Z
dc.date.available2023-05-31T08:35:32Z
dc.date.issued2021en_US
dc.departmentBAİBÜ, Mühendislik Fakültesi, Çevre Mühendisliği Bölümüen_US
dc.descriptionThis study was performed while the author was at Purdue University. The author thanks Prof. Dr Bernard Engel for his acceptance as a visiting scholar at Purdue University. Also, the author thanks The Scientific and Technological Research Council of Turkey (TUBITAK) for financial support (No. 1059B191800383).en_US
dc.description.abstractThe purpose of this study was to improve the optimization model for predicting more parameters in more difficult conditions (more grid cell numbers and high time interval numbers) than other studies in groundwater flow modelling. Also, the model needs fewer observation numbers for estimating parameters than other studies. In the present study, an optimization model based on model calibration was developed to estimate simultaneously four groundwater flow parameters - hydraulic conductivity, transmissivity, storage coefficient and leakance. The modified clonal selection algorithm, a class of artificial immune systems, was used as a heuristic optimization method. In order to simulate the groundwater flow, MODFLOW was used in conjunction with the model in MATLAB. The input files for MODFLOW were obtained by GMS groundwater simulator. The model was applied to two different hypothetical groundwater systems (two- and three-dimensional) under transient conditions to evaluate its performance. The results showed that the model was feasible for groundwater flow modelling and it could determine the groundwater flow parameters successfully with less observations and more grid cell numbers than the other studies.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK) [1059B191800383]en_US
dc.identifier.citationEryiğit, M. (2021). Estimation of parameters in groundwater modelling by modified Clonalg. Journal of Hydroinformatics, 23(2), 298-306.en_US
dc.identifier.doi10.2166/hydro.2021.139
dc.identifier.endpage306en_US
dc.identifier.issn1464-7141
dc.identifier.issn1465-1734
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85104250056en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage298en_US
dc.identifier.urihttp://dx.doi.org/10.2166/hydro.2021.139
dc.identifier.urihttps://hdl.handle.net/20.500.12491/11024
dc.identifier.volume23en_US
dc.identifier.wosWOS:000630000200007en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorEryiğit, Miraç
dc.language.isoenen_US
dc.publisherIvva Publishingen_US
dc.relation.ispartofJournal of Hydroinformaticsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.relation.tubitak[1059B191800383]
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectGroundwater Modellingen_US
dc.subjectHeuristic Optimizationen_US
dc.subjectModel Calibrationen_US
dc.subjectParameter Estimationen_US
dc.titleEstimation of parameters in groundwater modelling by modified Clonalgen_US
dc.typeArticleen_US

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