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dc.contributor.authorGil-Guirado, Salvador-
dc.contributor.authorPérez-Morales, Alfredo-
dc.contributor.authorPino, David-
dc.contributor.authorPeña, Juan Carlos-
dc.contributor.authorLópezMartí, Francisco-
dc.contributor.otherFacultades, Departamentos, Servicios y Escuelas::Departamentos de la UMU::Geografíaes
dc.date.accessioned2024-01-08T13:30:36Z-
dc.date.available2024-01-08T13:30:36Z-
dc.date.issued2021-10-05-
dc.identifier.citationScience of the Total Environment 807 (2022) 150777es
dc.identifier.urihttp://hdl.handle.net/10201/137077-
dc.description© 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).es
dc.description.abstractIn a changing climate and in social context, tools and databases with high spatiotemporal resolution are needed for increasing the knowledge on the relationship betweenmeteorological events and flood impacts; hence, analysis of high-resolution spatiotemporal databases with detailed information on the frequency, intensity, and impact of floods is necessary. However, themethodological nature of flood databases hinders relating specific flood events to the weather events that cause them; hence, methodologies for classifying flood cases according to the synoptic patterns that generate them are also necessary. Knowing which synoptic patterns are likely to generate risk situations allows for a probabilistic approach with high spatial resolution regarding the timing of occurrence, affected area, and expected damage from floods. To achieve these objectives, we use the SMC-Flood Database, a high-resolution spatiotemporal flood database covering the 1960-2015 period for all municipalities along the Spanish Mediterranean coast. To relate floods with the synoptic conditions that generated them, we used a multivariate analysis method on the corrected daily anomalies of the surface pressure fields, 850 hPa temperature, and 500 hPa geopotential height, all of which were obtained from the 20th Century Reanalysis Project V2. Results showthat 12 atmospheric synoptic patterns can statistically explain the 3608 flood cases that occurred in the study area between 1960 and 2015. These flood cases were classified into 847 atmospherically induced flood events. These results reduce the uncertainty during decisionmaking because of the classification of potential risk situations. The Mediterranean Basin is a region where floods have serious socioeconomic impacts; hence, this work helps improving prevention measures and providing information for policymakers, mainly regarding land use planning and early warning systems.es
dc.formatapplication/pdfes
dc.format.extent16es
dc.languageenges
dc.publisherElsevieres
dc.relationThis work has been supported by the Spanish Ministry of Science and Innovation/Agencia Estatal de Investigación and the European Regional Development Fund (ERDF/FEDER) through project ECCE (PID2020-115693RB-I00). SG-G acknowledges the support of the Spanish Ministry of Science, Innovation and Universities through “Juan de la Cierva-Incorporación” grant (IJCI-2016-29016). Additionally, this work has been partially supported by the Spanish Ministry of Economy and Innovation (CGL2016-75996-R), the Spanish Ministry of Science, Innovation and Universities (CGL2013-43716-R; CGL2016-75475-R) and ICREA (ICREA Academia Program) and by the Spanish Ministry of Science and Innovation (PID2020-114576RB-I00).es
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectFlood hazardes
dc.subjectFlood hot spotes
dc.subject20th century reanalysises
dc.subjectPrincipal component analysises
dc.subjectSynoptic patternses
dc.titleFlood impact on the Spanish Mediterranean coast since 1960 based on the prevailing synoptic patternses
dc.typeinfo:eu-repo/semantics/articlees
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0048969721058551?via%3Dihubes
dc.identifier.doihttps://doi.org/10.1016/j.scitotenv.2021.150777-
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