Characterization of damages in buildings after floods in Vega Baja County (Spain) in 2019. The case study of Almoradí municipality

September 2019 saw the most catastrophic floods on the southeast coast of Spain since 1879, leaving fatalities, thousands of people evacuated, and nearly €500 million in compensation. The aim of this work is to characterize the flood exposure, resistance, hazard, and damage in the buildings affected...

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Main Authors: Ricardo Moya Barbera, Begoña Serrano Lanzarote, Teresa Escrig, Ivan Cabrera-Fausto
Format: Article
Language:English
Published: Elsevier 2024-07-01
Series:Case Studies in Construction Materials
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509524001554
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author Ricardo Moya Barbera
Begoña Serrano Lanzarote
Teresa Escrig
Ivan Cabrera-Fausto
author_facet Ricardo Moya Barbera
Begoña Serrano Lanzarote
Teresa Escrig
Ivan Cabrera-Fausto
author_sort Ricardo Moya Barbera
collection DOAJ
description September 2019 saw the most catastrophic floods on the southeast coast of Spain since 1879, leaving fatalities, thousands of people evacuated, and nearly €500 million in compensation. The aim of this work is to characterize the flood exposure, resistance, hazard, and damage in the buildings affected by that event to create an empirical data set as a tool for improving and validating damage models and their transferability to the Valencian Region. For this purpose, we developed and applied a case study methodology in Almoradí, one of the most severely damaged municipalities in Vega Baja County, after the 2019 events. The proposed methodology starts with on-site surveys to collect data, identifying three archetypes based on exposure and resistance features. Then, absolute and relative damage recorded were correlated with the flood depth. Finally, data were mapped using a GIS system. Results show a significant correlation between the recorded flood depth and both relative and absolute damage, which rises to diverse as varying building exposure and resistance characteristics. The methodology presented to characterize direct tangible damage from empirical data may be transferred to any region whose buildings have been affected by floods. However, for damage estimation purposes, the results may be used only in regions with comparable expected flood depths, building exposure and resistance features.
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spelling doaj.art-ec219ed20a854dc9ba01bc43cf29c6e12024-03-01T05:06:19ZengElsevierCase Studies in Construction Materials2214-50952024-07-0120e03004Characterization of damages in buildings after floods in Vega Baja County (Spain) in 2019. The case study of Almoradí municipalityRicardo Moya Barbera0Begoña Serrano Lanzarote1Teresa Escrig2Ivan Cabrera-Fausto3Universitat Politècnica de València, Valencia 46022, Spain; Correspondence to: 7-213 Langside Street, Winnipeg, Manitoba R3C1Z6, Canada.Department of Continuum Mechanics and Theory of Structures, Universitat Politècnica de València, Valencia 46022, SpainInstituto Valenciano de la Edificación, Valencia 46022, SpainDepartment of Continuum Mechanics and Theory of Structures, Universitat Politècnica de València, Valencia 46022, SpainSeptember 2019 saw the most catastrophic floods on the southeast coast of Spain since 1879, leaving fatalities, thousands of people evacuated, and nearly €500 million in compensation. The aim of this work is to characterize the flood exposure, resistance, hazard, and damage in the buildings affected by that event to create an empirical data set as a tool for improving and validating damage models and their transferability to the Valencian Region. For this purpose, we developed and applied a case study methodology in Almoradí, one of the most severely damaged municipalities in Vega Baja County, after the 2019 events. The proposed methodology starts with on-site surveys to collect data, identifying three archetypes based on exposure and resistance features. Then, absolute and relative damage recorded were correlated with the flood depth. Finally, data were mapped using a GIS system. Results show a significant correlation between the recorded flood depth and both relative and absolute damage, which rises to diverse as varying building exposure and resistance characteristics. The methodology presented to characterize direct tangible damage from empirical data may be transferred to any region whose buildings have been affected by floods. However, for damage estimation purposes, the results may be used only in regions with comparable expected flood depths, building exposure and resistance features.http://www.sciencedirect.com/science/article/pii/S2214509524001554Building flood exposureBuilding flood resistanceBuilding flood vulnerabilityEmpirical data setFlood damageFlood damage model
spellingShingle Ricardo Moya Barbera
Begoña Serrano Lanzarote
Teresa Escrig
Ivan Cabrera-Fausto
Characterization of damages in buildings after floods in Vega Baja County (Spain) in 2019. The case study of Almoradí municipality
Case Studies in Construction Materials
Building flood exposure
Building flood resistance
Building flood vulnerability
Empirical data set
Flood damage
Flood damage model
title Characterization of damages in buildings after floods in Vega Baja County (Spain) in 2019. The case study of Almoradí municipality
title_full Characterization of damages in buildings after floods in Vega Baja County (Spain) in 2019. The case study of Almoradí municipality
title_fullStr Characterization of damages in buildings after floods in Vega Baja County (Spain) in 2019. The case study of Almoradí municipality
title_full_unstemmed Characterization of damages in buildings after floods in Vega Baja County (Spain) in 2019. The case study of Almoradí municipality
title_short Characterization of damages in buildings after floods in Vega Baja County (Spain) in 2019. The case study of Almoradí municipality
title_sort characterization of damages in buildings after floods in vega baja county spain in 2019 the case study of almoradi municipality
topic Building flood exposure
Building flood resistance
Building flood vulnerability
Empirical data set
Flood damage
Flood damage model
url http://www.sciencedirect.com/science/article/pii/S2214509524001554
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