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https://doi.org/10.1016/j.scitotenv.2021.150777
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Título: | Flood impact on the Spanish Mediterranean coast since 1960 based on the prevailing synoptic patterns |
Fecha de publicación: | 5-oct-2021 |
Editorial: | Elsevier |
Cita bibliográfica: | Science of the Total Environment 807 (2022) 150777 |
Palabras clave: | Flood hazard Flood hot spot 20th century reanalysis Principal component analysis Synoptic patterns |
Resumen: | In 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. |
Autor/es principal/es: | Gil-Guirado, Salvador Pérez-Morales, Alfredo Pino, David Peña, Juan Carlos LópezMartí, Francisco |
Facultad/Departamentos/Servicios: | Facultades, Departamentos, Servicios y Escuelas::Departamentos de la UMU::Geografía |
Versión del editor: | https://www.sciencedirect.com/science/article/pii/S0048969721058551?via%3Dihub |
URI: | http://hdl.handle.net/10201/137077 |
DOI: | https://doi.org/10.1016/j.scitotenv.2021.150777 |
Tipo de documento: | info:eu-repo/semantics/article |
Número páginas / Extensión: | 16 |
Derechos: | info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
Descripción: | © 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/). |
Aparece en las colecciones: | Artículos: Geografía |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
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STOTEN-2022.pdf | 7,15 MB | Adobe PDF | Visualizar/Abrir |
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