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Generation and evolution of longshore sandbars: model intercomparison and evaluation

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dc.contributor.author Abreu, T. pt_BR
dc.contributor.author Silva, P. A. pt_BR
dc.contributor.author Sancho, F. E. pt_BR
dc.date.accessioned 2013-12-04T14:33:57Z pt_BR
dc.date.accessioned 2014-10-10T16:15:34Z pt_BR
dc.date.accessioned 2017-04-13T10:11:00Z
dc.date.available 2013-12-04T14:33:57Z pt_BR
dc.date.available 2014-10-10T16:15:34Z pt_BR
dc.date.available 2017-04-13T10:11:00Z
dc.date.issued 2013-06 pt_BR
dc.identifier.uri https://repositorio.lnec.pt/jspui/handle/123456789/1005524
dc.description.abstract Understanding the interaction between waves and currents in coastal waters and to study their influence on the coastal morphology is of great importance for coastal management. In this paper the ability of several practical sediment transport models is assessed to predict beach profile evolutions. For that purpose, the numerical results of a morphodynamic model are compared against the observed beach profile evolutions during the European project “Large Installations Plan” (LIP), using the measured cross-shore velocity data. The results evidence that the classical energetics model of Bailard (1981) provide the best estimates of bed-profile evolution, under erosive wave conditions, when compared to other four sediment transport predictors. However, the use of more recent models (Nielsen, 2006 and Abreu et al., 2013) also shows that a good estimator of the undertow seems to be crucial in such morphodynamic computations.. pt_BR
dc.rights openAccess pt_BR
dc.subject Morphodynamic modeling pt_BR
dc.subject Sediment transport pt_BR
dc.subject Hydrodynamics pt_BR
dc.subject Undertow pt_BR
dc.subject Nonlinearities pt_BR
dc.title Generation and evolution of longshore sandbars: model intercomparison and evaluation pt_BR
dc.type conferenceObject pt_BR
dc.description.pages 51-62pp pt_BR
dc.identifier.seminario 7th Int. Conf. on Coastal Dynamics pt_BR
dc.identifier.local Bordeus pt_BR
dc.description.sector DHA/NEC pt_BR
dc.description.year 2013 pt_BR
dc.description.data 24 a 28 de junho pt_BR


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