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Extending the H&R wave overtopping model to vertical structures

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dc.contributor.author Reis, M. T. pt_BR
dc.contributor.author Hedges, T. pt_BR
dc.contributor.author Neves, S. pt_BR
dc.contributor.author Neves, M. G. pt_BR
dc.contributor.author Hu, K. pt_BR
dc.contributor.author Mase, H. pt_BR
dc.date.accessioned 2013-06-19T11:42:43Z pt_BR
dc.date.accessioned 2014-10-20T13:36:14Z pt_BR
dc.date.accessioned 2017-04-12T16:08:05Z
dc.date.available 2013-06-19T11:42:43Z pt_BR
dc.date.available 2014-10-20T13:36:14Z pt_BR
dc.date.available 2017-04-12T16:08:05Z
dc.date.issued 2013-06 pt_BR
dc.identifier.uri https://repositorio.lnec.pt/jspui/handle/123456789/1004914
dc.description.abstract The H&R wave overtopping model, originally developed for sloping structures, is employed in a number of operational coastal flood forecasting and warning systems. This paper describes the first step in a project to extend the model to encompass vertical structures. Use is made of the CLASH database for the purpose of checking whether it is appropriate to simply extrapolate the existing formulae for the model’s empirical coefficients beyond their strict ranges of applicability. The outcome is encouraging. Despite the fact that, in general, the model tended to underestimate the higher wave overtopping rates, it was reasonably accurate in describing the lower overtopping rates which normally trigger flood warnings, suggesting that it may be worthwhile pursuing the task of calibrating and validating the H&R model for vertical structures. pt_BR
dc.language.iso eng pt_BR
dc.rights openAccess pt_BR
dc.title Extending the H&R wave overtopping model to vertical structures pt_BR
dc.type conferenceObject pt_BR
dc.description.figures 7 pt_BR
dc.description.tables 4 pt_BR
dc.description.pages 10p pt_BR
dc.identifier.seminario 6th SCACR – International Short Course/Conference on Applied Coastal Research pt_BR
dc.identifier.local LNEC, Lisboa pt_BR
dc.description.sector DHA/NPE pt_BR
dc.description.year 2013 pt_BR
dc.description.data 4 a 7 de Junho pt_BR


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