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dc.contributor.author | Molinari, Daniela | es_ES |
dc.contributor.author | De Bruijn, Karin M. | es_ES |
dc.contributor.author | Castillo-Rodríguez, J.T. | es_ES |
dc.contributor.author | Aronica, Giuseppe T. | es_ES |
dc.contributor.author | Bouwer, Laurens M. | es_ES |
dc.date.accessioned | 2020-12-23T04:31:28Z | |
dc.date.available | 2020-12-23T04:31:28Z | |
dc.date.issued | 2019-02 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/157758 | |
dc.description.abstract | [EN] Although often neglected, model validation is a key topic in flood risk analysis, as flood risk estimates are used to underpin large investments and important decisions. In this paper, we discuss the state of the art of flood risk model validation, using as input the discussion among more than 50 experts at two scientific workshop events. The events aimed at identifying policy and research recommendations towards promoting more common practice of validation, and an improvement of flood risk model reliability. We pay specific attention to different components of the risk modelling chain (i.e. flood hazard, defence failure, and flood damage analysis) as well as to their role in risk estimates, to highlight specificities and commonalities with respect to implemented techniques and research needs. The main conclusions from this analysis can be summarised as the need of higher quality data to perform validation and of benchmark solutions to be followed in different contexts, along with a greater involvement of end-users in the application on flood risk model validation. | es_ES |
dc.description.sponsorship | The authors acknowledge with gratitude all the participants and the speakers at the workshop in Delft (December 2014) and at the special session at FloodRisk2016 (October 2016); as the main content of the papers was derived from the information presented and the fruitful discussions at these two events. As such, it may include subjective considerations by the authors and may not reflect the individual statements presented at these events. We also acknowledge the EuropeaBallio et an Geoscience Union (EGU), the Panta Rhei Initiative, the FloodRisk2016 Scientific Committee, and Deltares for supporting these events. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | International Journal of Disaster Risk Reduction | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Flood risk | es_ES |
dc.subject | Validation | es_ES |
dc.subject | Validation techniques | es_ES |
dc.subject | Uncertainty | es_ES |
dc.subject.classification | INGENIERIA HIDRAULICA | es_ES |
dc.title | Validation of flood risk models: Current practice and possible improvements | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.ijdrr.2018.10.022 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//BIA2013-48157-C2-1-R/ES/METODOLOGIA DE EVALUACION DE INVERSIONES EN INFRAESTRUCTURAS DEL CICLO INTEGRAL DEL AGUA BASADA EN INDICADORES DE RIESGO Y DE EFICIENCIA ENERGETICA/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.description.bibliographicCitation | Molinari, D.; De Bruijn, KM.; Castillo-Rodríguez, J.; Aronica, GT.; Bouwer, LM. (2019). Validation of flood risk models: Current practice and possible improvements. International Journal of Disaster Risk Reduction. 33:441-448. https://doi.org/10.1016/j.ijdrr.2018.10.022 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.ijdrr.2018.10.022 | es_ES |
dc.description.upvformatpinicio | 441 | es_ES |
dc.description.upvformatpfin | 448 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 33 | es_ES |
dc.identifier.eissn | 2212-4209 | es_ES |
dc.relation.pasarela | S\371712 | es_ES |
dc.contributor.funder | Deltares | es_ES |
dc.contributor.funder | European Geosciences Union | es_ES |
dc.contributor.funder | Ministerio de Economía y Empresa | es_ES |
dc.contributor.funder | International Association of Hydrological Sciences | es_ES |