Stochastic Modeling Approach to Identify Uncertainties of Karst Conduit Networks in Carbonate Aquifers

dc.contributor.authorBanusch, Sandra
dc.contributor.authorSomogyvári, M.
dc.contributor.authorSauter, Martin
dc.contributor.authorRenard, P.
dc.contributor.authorEngelhardt, Irina
dc.date.accessioned2022-12-16T16:00:53Z
dc.date.available2022-12-16T16:00:53Z
dc.date.issued2022-08-09
dc.date.updated2022-11-22T15:03:22Z
dc.description.abstractThe characterization of the karst conduit network is an essential task to understand the complex flow system within karst aquifers. However, this task is challenging and often associated with uncertainty. Equivalent porous media approaches for modeling flow in karst aquifers fall short of capturing the hydraulic effect of individual karst features, while process‐oriented karst evolution models imply major computational efforts. In this study, we apply the Stochastic Karst Simulator (SKS) developed by Borghi et al. (2012) to generate karst conduit networks at a regional scale of a highly karstified carbonate aquifer located in the Eastern Mediterranean region and extensively used for water supply. The SKS generates conduit network geometries reasonably quick, using a mathematical proxy that mimics conduit evolution. The conduit simulation is based on a conceptual model of the genesis of the aquifer, consisting of different karstification phases. The stochastic approach of the algorithm enables us to generate an ensemble of conduit network realizations and to represent the uncertainties of these simulations in a Karst Probability Map. With only soft input information to constrain conduit evolution, multiple equivalent realizations yield similar resulting network geometries, indicating a robust approach. The presented methodology is numerically efficient, and its input can be easily adjusted. Subsequently, the resulting stochastic spatial distribution of conductivities can be employed for the parametrization of regional karst groundwater models.en
dc.description.sponsorshipBMBF, 02WGR1428A, GROW - Verbundprojekt MedWater: Nachhaltige Bewirtschaftung politisch und ökonomisch relevanter Wasserressourcen in hydraulisch, klimatisch und ökologisch hoch-dynamischen Festgesteinsgrundwasserleitern des Mittelmeerraumes, Teilprojekt 1
dc.description.sponsorshipTU Berlin, Open-Access-Mittel – 2022
dc.identifier.eissn1944-7973
dc.identifier.issn0043-1397
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/17834
dc.identifier.urihttps://doi.org/10.14279/depositonce-16623
dc.language.isoen
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.ddc551 Geologie, Hydrologie, Meteorologiede
dc.subject.otherkarst conduit modeling
dc.subject.otherstochastic modeling
dc.subject.otherstructural uncertainty
dc.subject.otherkarst probability mapping
dc.subject.othergroundwater modeling
dc.titleStochastic Modeling Approach to Identify Uncertainties of Karst Conduit Networks in Carbonate Aquifersen
dc.typeArticle
dc.type.versionpublishedVersion
dcterms.bibliographicCitation.articlenumbere2021WR031710
dcterms.bibliographicCitation.doi10.1029/2021WR031710
dcterms.bibliographicCitation.issue8
dcterms.bibliographicCitation.journaltitleWater Resources Researchen
dcterms.bibliographicCitation.originalpublishernameWiley
dcterms.bibliographicCitation.originalpublisherplaceNew York, NY
dcterms.bibliographicCitation.volume58
tub.accessrights.dnbfree
tub.affiliationFak. 6 Planen Bauen Umwelt::Inst. Angewandte Geowissenschaften::FG Hydrogeologie
tub.publisher.universityorinstitutionTechnische Universität Berlin

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