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Integrated Bayesian Multi-model approach to quantify input, parameter and conceptual model structure uncertainty in groundwater modeling

dc.contributor.authorMustafa, Syed
dc.contributor.authorNossent, Jiri
dc.contributor.authorGhysels, Gert
dc.contributor.authorHuysmans, Marijke
dc.date.accessioned2021-02-13T00:09:22Z
dc.date.available2021-02-13T00:09:22Z
dc.date.issued2020-04
dc.identifier.citationMustafa , S , Nossent , J , Ghysels , G & Huysmans , M 2020 , ' Integrated Bayesian Multi-model approach to quantify input, parameter and conceptual model structure uncertainty in groundwater modeling ' , Environmental Modelling and Software , vol. 126 , 104654 . https://doi.org/10.1016/j.envsoft.2020.104654en
dc.identifier.issn1364-8152
dc.identifier.otherPURE: 157602712
dc.identifier.otherPURE UUID: 494b574d-dc75-4a52-bb67-8ac5abea721e
dc.identifier.otherWOS: 000522639600010
dc.identifier.otherScopus: 85079656289
dc.identifier.urihttps://hdl.handle.net/2164/15863
dc.descriptionWe thank Prof. Jasper Vrugt from University of California, Irvine, USA for his advice on the implementation of BMA. A draft version of a conference abstract appears online at AgEng2018.com but has not been published. The data used in this study are summarized and presented in the figures, tables, references and supporting information and will be available from the authors upon request (syed.mustafa@vub.be).en
dc.format.extent17
dc.language.isoeng
dc.relation.ispartofEnvironmental Modelling and Softwareen
dc.rights© 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectConceptual model structure uncertaintyen
dc.subjectBayesian approachen
dc.subjectinput uncertaintyen
dc.subjectBayesian model averagingen
dc.subjectuncertainty quantificationen
dc.subjectgroundwater flow modelen
dc.subjectENSEMBLEen
dc.subjectMANAGEMENTen
dc.subjectUncertainty quantificationen
dc.subjectDROUGHTen
dc.subjectFLOWen
dc.subjectPREDICTIONen
dc.subjectGroundwater flow modelen
dc.subjectInput uncertaintyen
dc.subjectFRAMEWORKen
dc.subjectBASINen
dc.subjectMONTE-CARLO-SIMULATIONen
dc.subjectSELECTIONen
dc.subjectWATERen
dc.subjectTA Engineering (General). Civil engineering (General)en
dc.subjectSoftwareen
dc.subjectEcological Modellingen
dc.subjectEnvironmental Engineeringen
dc.subject.lccTAen
dc.titleIntegrated Bayesian Multi-model approach to quantify input, parameter and conceptual model structure uncertainty in groundwater modelingen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Geography & Environmenten
dc.description.statusPeer revieweden
dc.description.versionPostprinten
dc.identifier.doihttps://doi.org/10.1016/j.envsoft.2020.104654
dc.date.embargoedUntil2021-02-13
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85079656289&partnerID=8YFLogxKen
dc.identifier.vol126en


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