Enhancing Flood Risk Management: A Review on Numerical Modelling of Past Flood Events

UDC.coleccionInvestigación
UDC.departamentoEnxeñaría Civil
UDC.endPage18
UDC.grupoInvEnxeñaría da Auga e do Medio Ambiente (GEAMA)
UDC.institutoCentroCITEEC - Centro de Innovación Tecnolóxica en Edificación e Enxeñaría Civil
UDC.issue6(133)
UDC.journalTitleHydrology
UDC.startPage1
UDC.volume12
dc.contributor.authorGonzález-Cao, José
dc.contributor.authorBarreiro-Fonta, Helena
dc.contributor.authorFernández-Novoa, Diego
dc.contributor.authorGarcía-Feal, Orlando
dc.date.accessioned2026-04-08T18:38:39Z
dc.date.available2026-04-08T18:38:39Z
dc.date.issued2025-05
dc.descriptionReview
dc.description.abstract[Abstract]: Recent scientific literature has consistently highlighted a significant increase in both the frequency and intensity of flood events, primarily attributed to the effects of climate change. Projections suggest that this trend will likely intensify in the coming decades. In this context, enhancing our understanding of flooding dynamics becomes not only necessary but urgent. A critical component of this advancement lies in the numerical analysis of historical flood events, which provides valuable insights into flood behaviour across extended temporal and spatial scales. This approach enables two key outcomes: a significant improvement in conventional methods for estimating return periods and a reduction in the uncertainties associated with historical flood events by simulating multiple plausible scenarios to identify the most likely one. This paper presents a comprehensive review of the scientific literature focused on the numerical simulation and reconstruction of past flood events. Two main conclusions emerge from this review: First, the temporal scope of the studies is notably wide, covering events ranging from glacial periods to those occurring in the mid-20th century. Second, there exists a pronounced spatial imbalance in the geographical distribution of these studies, with certain regions significantly underrepresented. This review provides a valuable resource for researchers and practitioners working in flood risk assessment and hydrological modelling. By consolidating existing knowledge, it supports the development and refinement of decision-support tools aimed at improving mitigation strategies to reduce the impact of flooding on both populations and infrastructure.
dc.description.sponsorshipThis research was funded by Xunta de Galicia under project ED431C 2021/44 (Grupos de Referencia Competitiva) and by the Interreg POCTEP program under project RISC_PLUS (0031_RISC_PLUS_6_E). D.F.-N. was supported by Xunta de Galicia through a postdoctoral grant (ED481D-2024-004). O. García-Feal was supported by the postdoctoral fellowship “Juan de la Cierva” (ref. JDC2022-048667-I), funded by MCIN/AEI/10.13039/501100011033 and the European Union “NextGenerationEU”/PRTR.
dc.description.sponsorshipXunta de Galicia; ED481D-2024-004
dc.description.sponsorshipXunta de Galicia; ED431C 2021/44
dc.identifier.citationGonzález-Cao, J.; Barreiro-Fonta, H.; Fernández-Nóvoa, D.; García-Feal, O. Enhancing Flood Risk Management: A Review on Numerical Modelling of Past Flood Events. Hydrology 2025, 12(6), 133. https://doi.org/10.3390/hydrology12060133
dc.identifier.doi10.3390/hydrology12060133
dc.identifier.issn2306-5338
dc.identifier.urihttps://hdl.handle.net/2183/47906
dc.language.isoeng
dc.publisherMDPI
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/JJDC2022-048667-I/ES/PLATAFORMA PARA EL MODELADO NUMÉRICO MULTI-ESCALA DE INUNDACIONES Y PROCESOS DE TRANSPORTE
dc.relation.urihttps://doi.org/10.3390/hydrology12060133
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectNumerical modelling
dc.subjectHistorical floods
dc.subjectReturn period
dc.subjectClimate change
dc.titleEnhancing Flood Risk Management: A Review on Numerical Modelling of Past Flood Events
dc.typejournal article
dc.type.hasVersionVoR
dspace.entity.typePublication
relation.isAuthorOfPublicationb3a961d8-cb6a-45d2-8973-b41bf99fc637
relation.isAuthorOfPublication.latestForDiscoveryb3a961d8-cb6a-45d2-8973-b41bf99fc637

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