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dc.creatorMilašinović, Miloš
dc.creatorRanđelović, Anja
dc.creatorJaćimović, Nenad
dc.creatorProdanović, Dušan
dc.date.accessioned2019-09-04T11:49:39Z
dc.date.available2021-06-27
dc.date.issued2019
dc.identifier.issn0022-1694
dc.identifier.urihttp://grafar.grf.bg.ac.rs/handle/123456789/1718
dc.description.abstractHigh urbanization puts many groundwater resources at risk of quality deterioration. Analyzing all viable potential groundwater contamination scenarios for good decision making requires reliable tool. Coupling several complex models in integrated modelling can often fail to perform in reasonable time. Possible solution in that case could be usage of simplified models in order to speed up long-term continuous calculations and simulations. The paper presents the application of the Cellular Automata (CA) approach in modelling of the contaminant transport under unsteady groundwater conditions. It compares the results obtained using coupled CA models with well-known analytical solutions and standard methods used for pollution transport modelling in groundwater conditions, such as coupled MODFLOW and MT3DMS. Results obtained in this paper show that CA approach can be satisfactorily used for simulations of unsteady groundwater conditions, caused by surface-groundwater interaction, and pollution transport, especially in diffusion dominant cases, gaining the reduction of simulation time up to 10 times.en
dc.language.isoensr
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/37010/RS//sr
dc.rightsembargoedAccesssr
dc.sourceJournal of Hydrologysr
dc.subjectCellular Automatasr
dc.subjectContaminant transportsr
dc.subjectSurface-groundwater interactionsr
dc.titleCoupled groundwater hydrodynamic and pollution transport modelling using Cellular Automata approachen
dc.typearticlesr
dc.rights.licenseBY-NC-NDsr
dc.rights.holderElseviersr
dc.citation.epage666
dc.citation.rankaM21~
dc.citation.spage652
dc.citation.volume576
dc.identifier.doi10.1016/j.jhydrol.2019.06.062
dc.identifier.fulltexthttp://grafar.grf.bg.ac.rs/bitstream/id/6570/bitstream_6570.pdf
dc.identifier.scopus2-s2.0-85068260884
dc.identifier.wos000486092200052
dc.type.versionacceptedVersionsr


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