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dc.contributor.authorBermúdez, María
dc.contributor.authorCea, Luis
dc.contributor.authorSopelana, Javier
dc.date.accessioned2020-03-20T10:44:21Z
dc.date.available2020-03-20T10:44:21Z
dc.date.issued2019-10-09
dc.identifier.citationBermúdez, M., Cea, L. & Sopelana, J. Quantifying the role of individual flood drivers and their correlations in flooding of coastal river reaches. Stochastic Environmental Research and Risk Assessment 33, 1851–1861 (2019)es_ES
dc.identifier.urihttp://hdl.handle.net/10481/60459
dc.descriptionAfectado por periodo de embargo de la revista (12 meses)es_ES
dc.description.abstractFlooding in coastal river reaches is the result of complex interactions between coastal and inland drivers. Flood hazard assessments need to consider how these drivers interact in space and time, for which a standard method is currently lacking. A complex hydrodynamic model is required to reproduce the physics of the combined forcings and, at the same time, to fully explore the combinations of drivers that can occur in order to determine extreme flood frequencies. In this work, we explore the individual role of astronomical tide, storm surge and river discharge and their correlations in the extreme flood levels of a coastal river reach. We apply a computationally efficient surrogate model of a 2D shallow water model based on least squares support vector machines (LS-SVM) regression to reconstruct 10000 years-long time series of water levels in the reach. As input to the model, we consider an ensemble of synthetic time series of the flood drivers, which differ in the number of variables considered and in their correlations. Probabilities of exceedance of water levels are then computed and compared. The proposed methodology can give a better understanding of the flooding processes in a multivariable environment, as low-lying coastal urban areas typically are, and can provide guidance on where to focus modelling efforts when developing flood hazard assessments in such areas.es_ES
dc.description.sponsorshipMaría Bermúdez gratefully acknowledges funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement Nº 754446 and UGR Research and Knowledge Transfer Fund – Athenea3ies_ES
dc.language.isoenges_ES
dc.relationH2020‐MSCA‐COFUND‐2016 grant agreement 754446es_ES
dc.subjectcoastal river reaches_ES
dc.subjectcompound floodinges_ES
dc.subjectextreme floodses_ES
dc.subjectflood inundation modellinges_ES
dc.subjectLS-SVMes_ES
dc.titleQuantifying the role of individual flood drivers and their correlations in flooding of coastal river reacheses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccesses_ES
dc.identifier.doi10.1007/s00477-019-01733-8
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersion


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