Implementation of a GPU-enhanced multiclass soil erosion model based on the 2D shallow water equations in the software Iber

UDC.coleccionInvestigaciónes_ES
UDC.departamentoEnxeñaría Civiles_ES
UDC.grupoInvEnxeñaría da Auga e do Medio Ambiente (GEAMA)es_ES
UDC.institutoCentroCITEEC - Centro de Innovación Tecnolóxica en Edificación e Enxeñaría Civiles_ES
UDC.journalTitleEnvironmental Modelling & Softwarees_ES
UDC.startPage106098es_ES
UDC.volume179es_ES
dc.contributor.authorCea, Luis
dc.contributor.authorGarcía-Feal, Orlando
dc.contributor.authorNord, Guillaume
dc.contributor.authorPiton, Guillaume
dc.contributor.authorLegout, Cédric
dc.date.accessioned2024-11-20T20:28:48Z
dc.date.available2024-11-20T20:28:48Z
dc.date.issued2024
dc.description.abstract[Abstract:] We present the implementation of a new fully distributed multiclass soil erosion module. The model is based on a 2D finite volume solver (Iber+) for the 2D shallow water equations that computes the overland flow water depths and velocities. From these, the model evaluates the transport of sediment particles due to bed load and suspended load, including rainfall-driven and runoff-driven erosion processes, and using well-established physically-based formulations. The evolution of the mass of sediment particles in the soil layer is computed from a mass conservation equation for each sediment class. The solver is implemented using High Performance Computing techniques that take advantage of the computational capabilities of standard Graphical Processing Units, achieving speed-ups of two orders of magnitude relative to a sequential implementation on the CPU. We show the application and validation of the model at different spatial scales, ranging from laboratory experiments to meso-scale catchments.es_ES
dc.description.sponsorshipFunding for open access charge: Universidade da Coruña/CISUG. O.G.-F. was supported by the postdoctoral fellowship “Juan de la Cierva” (ref. JDC2022-048667-I), funded by MCIN/AEI/10.13039/50 1100011033 and the European Union “NextGenerationEU”/PRTR; by the Spanish Ministerio de Universidades under application 33.50.460A. 752, by the European Union NextGenerationEU/PRTR through a contract Margarita Salas from the University of Vigo; by the IGE lab and by the French Ministry of Environment (Direction Générale de la Prévention des Risques Ministère de la Transition Ecologique et Solidaire) within the multirisk agreement SRNH-IRSTEA 2020 (Action TorRex). G.N. and C.L. were supported by the Labex OSUG@2020 (Investissements d’Avenir, grant agreement ANR-10-LABX-0056). G.P. was supported by the LabEx Tec21 (Investissements d’avenir - grant agreement n°ANR-11-LABX-0030). Some of the computations presented in this paper were performed using the GRICAD high performance infrastructure (https://gricad.univ-grenoble-alpes.fr), which is supported by the Rhône-Alpes region (GRANT CPER07_13 CIRA) and the Equip@Meso project (Investissements d’avenir - grant agreement n°ANR-10-EQPX-29-01).es_ES
dc.description.sponsorshipFrancia. ISTerre; ANR-10-LABX-0056es_ES
dc.description.sponsorshipFrancia. ISTerre; ANR-11-LABX-0030es_ES
dc.description.sponsorshipFrancia. ISTerre; ANR-10-EQPX-29-01es_ES
dc.description.sponsorshipFrancia. Rhône-Alpes region; CPER07_13 CIRAes_ES
dc.identifier.citationLuis Cea, Orlando García-Feal, Guillaume Nord, Guillaume Piton, Cédric Legoût. (2024). Implementation of a GPU-enhanced multiclass soil erosion model based on the 2D shallow water equations in the software Iber, Environmental Modelling & Software, 179, 106098, https://doi.org/10.1016/j.envsoft.2024.106098es_ES
dc.identifier.doi10.1016/j.envsoft.2024.106098
dc.identifier.urihttp://hdl.handle.net/2183/40212
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI//JDC2022-048667-I/ES/es_ES
dc.relation.urihttps://doi.org/10.1016/j.envsoft.2024.106098es_ES
dc.rightsAtribución-NoComercial-SinDerivadases_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectSoil erosiones_ES
dc.subjectSediment transportes_ES
dc.subjectDistributed numerical modellinges_ES
dc.subjectShallow water equationses_ES
dc.subjectHigh performance computinges_ES
dc.titleImplementation of a GPU-enhanced multiclass soil erosion model based on the 2D shallow water equations in the software Iberes_ES
dc.typejournal articlees_ES
dspace.entity.typePublication
relation.isAuthorOfPublicationd914d106-6715-40cf-b743-1e240f37dc94
relation.isAuthorOfPublicationb3a961d8-cb6a-45d2-8973-b41bf99fc637
relation.isAuthorOfPublication.latestForDiscoveryd914d106-6715-40cf-b743-1e240f37dc94

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