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A second order residual based predictor–corrector approach for time dependent pollutant transport

hal.structure.identifierSimulation et Traitement de l'information pour l'Exploitation des systèmes de Production [EDF R&D STEP]
hal.structure.identifierLaboratoire d'Hydraulique Saint-Venant / Saint-Venant laboratory for Hydraulics [LHSV]
dc.contributor.authorPAVAN, Sara
hal.structure.identifierSimulation et Traitement de l'information pour l'Exploitation des systèmes de Production [EDF R&D STEP]
dc.contributor.authorHERVOUËT, Jean-Michel
hal.structure.identifierCertified Adaptive discRete moDels for robust simulAtions of CoMplex flOws with Moving fronts [CARDAMOM]
dc.contributor.authorRICCHIUTO, Mario
hal.structure.identifierSimulation et Traitement de l'information pour l'Exploitation des systèmes de Production [EDF R&D STEP]
hal.structure.identifierLaboratoire d'Hydraulique Saint-Venant / Saint-Venant laboratory for Hydraulics [LHSV]
dc.contributor.authorATA, Riadh
dc.date.issued2016
dc.identifier.issn0021-9991
dc.description.abstractEnWe present a second order residual distribution scheme for scalar transport problems in shallow water flows. The scheme, suitable for the unsteady cases, is obtained adapting to the shallow water context the explicit Runge-Kutta schemes for scalar equations [1]. The resulting scheme is decoupled from the hydrodynamics yet the continuity equation has to be considered in order to respect some important numerical properties at discrete level. Beyond the classical characteristics of the residual formulation presented in [1] and [2], we introduce the possibility to iterate the corrector step in order to improve the accuracy of the scheme. Another novelty is that the scheme is based on a precise monotonicity condition which guarantees the respect of the maximum principle. We thus end up with a scheme which is mass conservative, second order accurate and monotone. These properties are checked in the numerical tests, where the proposed approach is also compared to some finite volume schemes on unstructured grids. The results obtained show the interest in adopting the predictor corrector scheme for pollutant transport applications, where conservation of the mass, monotonicity and accuracy are the most relevant concerns.
dc.description.sponsorshipTsunamis en Atlantique et MaNche : Définition des Effets par Modélisation - ANR-11-RSNR-0023
dc.language.isoen
dc.publisherElsevier
dc.title.enA second order residual based predictor–corrector approach for time dependent pollutant transport
dc.typeArticle de revue
dc.identifier.doi10.1016/j.jcp.2016.04.053
dc.subject.halInformatique [cs]/Modélisation et simulation
dc.subject.halMathématiques [math]/Analyse numérique [math.NA]
dc.subject.halPlanète et Univers [physics]/Sciences de la Terre/Hydrologie
dc.subject.halPlanète et Univers [physics]/Sciences de la Terre/Géophysique [physics.geo-ph]
bordeaux.journalJournal of Computational Physics
bordeaux.page122 - 141
bordeaux.volume318
bordeaux.peerReviewedoui
hal.identifierhal-01308419
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01308419v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal%20of%20Computational%20Physics&rft.date=2016&rft.volume=318&rft.spage=122%20-%20141&rft.epage=122%20-%20141&rft.eissn=0021-9991&rft.issn=0021-9991&rft.au=PAVAN,%20Sara&HERVOU%C3%8BT,%20Jean-Michel&RICCHIUTO,%20Mario&ATA,%20Riadh&rft.genre=article


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