Tsunami evacuation modelling as a tool for risk reduction: application to the coastal area of El Salvador

Advances in the understanding and prediction of tsunami impacts allow the development of risk reduction strategies for tsunami-prone areas. This paper presents an integral framework for the formulation of tsunami evacuation plans based on tsunami vulnerability assessment and evacuation modelling. Th...

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Detalles Bibliográficos
Autores: González Riancho, Pino, Aguirre Ayerbe, Ignacio, Aniel Quiroga, Íñigo, Abad, Sheila, González, Mauricio, Larreynaga, Jeniffer, Gavidia, Francisco, Gutiérrez, Omar, Álvarez Gómez, José Antonio, Medina, Raúl
Tipo de recurso: artículo
Fecha de publicación:2013
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/33599
Acceso en línea:https://hdl.handle.net/20.500.14352/33599
Access Level:acceso abierto
Palabra clave:550.34(728.4)
Tsunami
El Salvador
Sismología (Geología)
2507.05 Sismología y Prospección Sísmica
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spelling Tsunami evacuation modelling as a tool for risk reduction: application to the coastal area of El SalvadorGonzález Riancho, PinoAguirre Ayerbe, IgnacioAniel Quiroga, ÍñigoAbad, SheilaGonzález, MauricioLarreynaga, JenifferGavidia, FranciscoGutiérrez, OmarÁlvarez Gómez, José AntonioMedina, Raúl550.34(728.4)TsunamiEl SalvadorSismología (Geología)2507.05 Sismología y Prospección SísmicaAdvances in the understanding and prediction of tsunami impacts allow the development of risk reduction strategies for tsunami-prone areas. This paper presents an integral framework for the formulation of tsunami evacuation plans based on tsunami vulnerability assessment and evacuation modelling. This framework considers (i) the hazard aspects (tsunami flooding characteristics and arrival time), (ii) the characteristics of the exposed area (people, shelters and road network), (iii) the current tsunami warning procedures and timing, (iv) the time needed to evacuate the population, and (v) the identification of measures to improve the evacuation process. The proposed methodological framework aims to bridge between risk assessment and risk management in terms of tsunami evacuation, as it allows for an estimation of the degree of evacuation success of specific management options, as well as for the classification and prioritization of the gathered information, in order to formulate an optimal evacuation plan. The framework has been applied to the El Salvador case study, demonstrating its applicability to sitespecific response times and population characteristics.Springer VerlagUniversidad Complutense de Madrid20132013-01-0120132013-01-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/33599reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/335992026-06-02T12:44:21Z
dc.title.none.fl_str_mv Tsunami evacuation modelling as a tool for risk reduction: application to the coastal area of El Salvador
title Tsunami evacuation modelling as a tool for risk reduction: application to the coastal area of El Salvador
spellingShingle Tsunami evacuation modelling as a tool for risk reduction: application to the coastal area of El Salvador
González Riancho, Pino
550.34(728.4)
Tsunami
El Salvador
Sismología (Geología)
2507.05 Sismología y Prospección Sísmica
title_short Tsunami evacuation modelling as a tool for risk reduction: application to the coastal area of El Salvador
title_full Tsunami evacuation modelling as a tool for risk reduction: application to the coastal area of El Salvador
title_fullStr Tsunami evacuation modelling as a tool for risk reduction: application to the coastal area of El Salvador
title_full_unstemmed Tsunami evacuation modelling as a tool for risk reduction: application to the coastal area of El Salvador
title_sort Tsunami evacuation modelling as a tool for risk reduction: application to the coastal area of El Salvador
dc.creator.none.fl_str_mv González Riancho, Pino
Aguirre Ayerbe, Ignacio
Aniel Quiroga, Íñigo
Abad, Sheila
González, Mauricio
Larreynaga, Jeniffer
Gavidia, Francisco
Gutiérrez, Omar
Álvarez Gómez, José Antonio
Medina, Raúl
author González Riancho, Pino
author_facet González Riancho, Pino
Aguirre Ayerbe, Ignacio
Aniel Quiroga, Íñigo
Abad, Sheila
González, Mauricio
Larreynaga, Jeniffer
Gavidia, Francisco
Gutiérrez, Omar
Álvarez Gómez, José Antonio
Medina, Raúl
author_role author
author2 Aguirre Ayerbe, Ignacio
Aniel Quiroga, Íñigo
Abad, Sheila
González, Mauricio
Larreynaga, Jeniffer
Gavidia, Francisco
Gutiérrez, Omar
Álvarez Gómez, José Antonio
Medina, Raúl
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 550.34(728.4)
Tsunami
El Salvador
Sismología (Geología)
2507.05 Sismología y Prospección Sísmica
topic 550.34(728.4)
Tsunami
El Salvador
Sismología (Geología)
2507.05 Sismología y Prospección Sísmica
description Advances in the understanding and prediction of tsunami impacts allow the development of risk reduction strategies for tsunami-prone areas. This paper presents an integral framework for the formulation of tsunami evacuation plans based on tsunami vulnerability assessment and evacuation modelling. This framework considers (i) the hazard aspects (tsunami flooding characteristics and arrival time), (ii) the characteristics of the exposed area (people, shelters and road network), (iii) the current tsunami warning procedures and timing, (iv) the time needed to evacuate the population, and (v) the identification of measures to improve the evacuation process. The proposed methodological framework aims to bridge between risk assessment and risk management in terms of tsunami evacuation, as it allows for an estimation of the degree of evacuation success of specific management options, as well as for the classification and prioritization of the gathered information, in order to formulate an optimal evacuation plan. The framework has been applied to the El Salvador case study, demonstrating its applicability to sitespecific response times and population characteristics.
publishDate 2013
dc.date.none.fl_str_mv 2013
2013-01-01
2013
2013-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/33599
url https://hdl.handle.net/20.500.14352/33599
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer Verlag
publisher.none.fl_str_mv Springer Verlag
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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