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New Approach to Estimate Extreme Flooding Using Continuous Synthetic Simulation Supported by Regional Precipitation and Non-Systematic Flood Data

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New Approach to Estimate Extreme Flooding Using Continuous Synthetic Simulation Supported by Regional Precipitation and Non-Systematic Flood Data

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dc.contributor.author Beneyto, Carles es_ES
dc.contributor.author Aranda Domingo, José Ángel es_ES
dc.contributor.author Benito, Gerardo es_ES
dc.contributor.author Francés, F. es_ES
dc.date.accessioned 2021-03-25T04:31:37Z
dc.date.available 2021-03-25T04:31:37Z
dc.date.issued 2020-11 es_ES
dc.identifier.issn 2073-4441 es_ES
dc.identifier.uri http://hdl.handle.net/10251/164218
dc.description.abstract [EN] Stochastic weather generators combined with hydrological models have been proposed for continuous synthetic simulation to estimate return periods of extreme floods. Yet, this approach relies upon the length and spatial distribution of the precipitation input data series, which often are scarce, especially in arid and semiarid regions. In this work, we present a new approach for the estimation of extreme floods based on the continuous synthetic simulation method supported with inputs of (a) a regional study of extreme precipitation to improve the calibration of the weather generator (GWEX), and (b) non-systematic flood information (i.e., historical information and/or palaeoflood records) for the validation of the generated discharges with a fully distributed hydrological model (TETIS). The results showed that this complementary information of extremes allowed for a more accurate implementation of both the weather generator and the hydrological model. This, in turn, improved the flood quantile estimates, especially for those associated with return periods higher than 50 years but also for higher quantiles (up to approximately 500 years). Therefore, it has been proved that continuous synthetic simulation studies focused on the estimation of extreme floods should incorporate a generalized representation of regional extreme rainfall and/or non-systematic flood data, particularly in regions with scarce hydrometeorological records. es_ES
dc.description.sponsorship This research was funded by the Spanish Ministry of Science and Innovation through the research projects TETISCHANGE (RTI2018-093717-B-100) and EPHIMED (CGL2017-86839-C3-1-R), both cofounded with FEDER European funds. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Water es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Weather generator es_ES
dc.subject Palaeoflood es_ES
dc.subject Regional extreme precipitation study es_ES
dc.subject Ephemeral river es_ES
dc.subject Fully distributed hydrology es_ES
dc.subject Flood quantiles es_ES
dc.subject Rambla de la Viuda es_ES
dc.subject.classification INGENIERIA HIDRAULICA es_ES
dc.subject.classification EXPRESION GRAFICA EN LA INGENIERIA es_ES
dc.title New Approach to Estimate Extreme Flooding Using Continuous Synthetic Simulation Supported by Regional Precipitation and Non-Systematic Flood Data es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/w12113174 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2017-86839-C3-1-R/ES/EVALUACION Y MODELACION DE LA RESPUESTA ECO-HIDROLOGICA Y SEDIMENTARIA EN CUENCAS MEDITERRANEAS PARA LA ADAPTACION AL CAMBIO CLIMATICO Y AMBIENTAL/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-093717-B-I00/ES/MEJORAS DEL CONOCIMIENTO Y DE LAS CAPACIDADES DE MODELIZACION PARA LA PROGNOSIS DE LOS EFECTOS DEL CAMBIO GLOBAL EN UNA CUENCA HIDROLOGICA/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Ingeniería del Agua y del Medio Ambiente - Institut Universitari d'Enginyeria de l'Aigua i Medi Ambient es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Gráfica - Departament d'Enginyeria Gràfica es_ES
dc.description.bibliographicCitation Beneyto, C.; Aranda Domingo, JÁ.; Benito, G.; Francés, F. (2020). New Approach to Estimate Extreme Flooding Using Continuous Synthetic Simulation Supported by Regional Precipitation and Non-Systematic Flood Data. Water. 12(11):1-16. https://doi.org/10.3390/w12113174 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/w12113174 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 16 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 12 es_ES
dc.description.issue 11 es_ES
dc.relation.pasarela S\421779 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Ministerio de Economía, Industria y Competitividad es_ES
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