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dc.contributor.authorGainza, June
dc.contributor.authorRueda, Ana
dc.contributor.authorCamus, Paula
dc.contributor.authorTomas, Antonio
dc.contributor.authorMendez, Fernando J
dc.contributor.authorSano, Marcello
dc.contributor.authorTomlinson, Rodger
dc.date.accessioned2019-06-08T01:31:17Z
dc.date.available2019-06-08T01:31:17Z
dc.date.issued2018
dc.identifier.issn0749-0208
dc.identifier.doihttps://doi.org/10.2112/JCOASTRES-D-16-00198.1
dc.identifier.urihttp://hdl.handle.net/10072/382285
dc.description.abstractWave run-up is defined as the maximum vertical extent of wave up-rush on a beach or structure above the sea water level from wave breaking. Wave run-up is responsible for beach and dune erosion and can be an important component of coastal flooding. Run-up can be estimated using either empirical formulations or sophisticated wave-breaking models with high computational demand. On the other hand, meta-models are efficient approximations of physical-process models that enable researchers to obtain long-term time series of wave dynamics. These hybrid models are developed by combining statistical techniques and numerical models. In this study, a methodology to transform offshore sea conditions to long-term time series of wave run-up is described. The methodology combined the construction of two meta-models of offshore wave propagation to coastal areas and of nearshore wave transformation to run-up. Clustering techniques were then implemented to select a subset of spectral patterns of the offshore conditions for nearshore transfer and a subset of sea states for reconstructing the run-up. Multivariate, radial-basis functions were then fitted to the outputs of the wave propagation and wave run-up simulations to reconstruct the time series of sea-state parameters in shallow water and the time series of run-up. This methodology was applied to Palm Beach on the Gold Coast (QLD, Australia). The nearshore wave climate was validated quantitatively, whereas the reconstructed wave run-up and total water-level time series was validated with a qualitative approximation, confirming that this methodology is capable of accurately transforming the offshore wave conditions into run-up time series. The total water levels were also reconstructed to show the applicability of the results to probabilistic flood-risk analyses.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherCoastal Education & Research Foundation
dc.publisher.placeUnited States
dc.relation.ispartofpagefrom475
dc.relation.ispartofpageto489
dc.relation.ispartofissue2
dc.relation.ispartofjournalJournal of Coastal Research
dc.relation.ispartofvolume34
dc.subject.fieldofresearchEarth sciences
dc.subject.fieldofresearchPhysical oceanography
dc.subject.fieldofresearchEngineering
dc.subject.fieldofresearchcode37
dc.subject.fieldofresearchcode370803
dc.subject.fieldofresearchcode40
dc.titleA Meta-Modelling Approach for Estimating Long-Term Wave Runup and Total Water Level on Beaches
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.rights.copyrightSelf-archiving of the author-manuscript version is not yet supported by this journal. Please refer to the journal link for access to the definitive, published version or contact the author(s) for more information.
gro.hasfulltextNo Full Text
gro.griffith.authorTomlinson, Rodger B.


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