Application of dynamic modelling to identify buildings at risk and pedestrian travel times to safety areas in a debris flow worst-case scenario

Detalhes bibliográficos
Autor(a) principal: Melo, Raquel
Data de Publicação: 2022
Outros Autores: Zêzere, José L., Oliveira, Sérgio C., Garcia, Ricardo A.C., Oliveira, Sandra, Pereira, Susana, Piedade, Aldina, Santos, Pedro P., van Asch, Theo
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/32459
Resumo: Debris flows are one of the most hazardous types of landslides in mountain regions. In the upper part of the Zêzere valley (Serra da Estrela, Portugal) several debris flows events occurred in the last 200 years, some of them causing loss of lives and material damages. In this work, a methodology for pedestrian evacuation modelling, in a debris flow hazard scenario, was implemented. A dynamic run-out model was used to evaluate the debris flows velocities, thickness of the deposits and extent of the mobilized material. The buildings potentially affected by the impact of debris flows were identified and the potentially exposed population was estimated by applying a dasymetric distribution. The results lead to the conclusion that, in the study area, the elders are the most exposed to debris flows. Furthermore, the time lapse between the debris flows initiation and the arrival at the buildings at risk was estimated, allowing to account for the overall number of buildings where the evacuation time takes longer than the debris flows arrival. Additionally, the safe areas within the study area were identified, and several safe public buildings with the capacity to gather a large number of persons were selected. Considering that the study area is located in a mountain region, characterized by steep slopes, the evacuation modelling was performed based on an anisotropic approach, in order to consider the influence of slope direction on travel costs. At the end, three pedestrian evacuation travel time scenarios, based on different walking speeds to accommodate residents with different ages in safer places, were compared and the results mapped. The implemented methodology is not local dependent, which allows its reproduction elsewhere.
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spelling Application of dynamic modelling to identify buildings at risk and pedestrian travel times to safety areas in a debris flow worst-case scenariodebris flowsdynamic run-out modellingdasymetric distributionpedestrian evacuationanisotropic least-cost pathDebris flows are one of the most hazardous types of landslides in mountain regions. In the upper part of the Zêzere valley (Serra da Estrela, Portugal) several debris flows events occurred in the last 200 years, some of them causing loss of lives and material damages. In this work, a methodology for pedestrian evacuation modelling, in a debris flow hazard scenario, was implemented. A dynamic run-out model was used to evaluate the debris flows velocities, thickness of the deposits and extent of the mobilized material. The buildings potentially affected by the impact of debris flows were identified and the potentially exposed population was estimated by applying a dasymetric distribution. The results lead to the conclusion that, in the study area, the elders are the most exposed to debris flows. Furthermore, the time lapse between the debris flows initiation and the arrival at the buildings at risk was estimated, allowing to account for the overall number of buildings where the evacuation time takes longer than the debris flows arrival. Additionally, the safe areas within the study area were identified, and several safe public buildings with the capacity to gather a large number of persons were selected. Considering that the study area is located in a mountain region, characterized by steep slopes, the evacuation modelling was performed based on an anisotropic approach, in order to consider the influence of slope direction on travel costs. At the end, three pedestrian evacuation travel time scenarios, based on different walking speeds to accommodate residents with different ages in safer places, were compared and the results mapped. The implemented methodology is not local dependent, which allows its reproduction elsewhere.Jornadas do ICT 20222022-08-31T09:54:55Z2022-08-312022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://hdl.handle.net/10174/32459http://hdl.handle.net/10174/32459engsimnaonaoraquel.melo@uevora.ptndndndndndndndndISBN: 978-972-778-232-1Melo, RaquelZêzere, José L.Oliveira, Sérgio C.Garcia, Ricardo A.C.Oliveira, SandraPereira, SusanaPiedade, AldinaSantos, Pedro P.van Asch, Theoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T19:33:10Zoai:dspace.uevora.pt:10174/32459Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:21:27.383674Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Application of dynamic modelling to identify buildings at risk and pedestrian travel times to safety areas in a debris flow worst-case scenario
title Application of dynamic modelling to identify buildings at risk and pedestrian travel times to safety areas in a debris flow worst-case scenario
spellingShingle Application of dynamic modelling to identify buildings at risk and pedestrian travel times to safety areas in a debris flow worst-case scenario
Melo, Raquel
debris flows
dynamic run-out modelling
dasymetric distribution
pedestrian evacuation
anisotropic least-cost path
title_short Application of dynamic modelling to identify buildings at risk and pedestrian travel times to safety areas in a debris flow worst-case scenario
title_full Application of dynamic modelling to identify buildings at risk and pedestrian travel times to safety areas in a debris flow worst-case scenario
title_fullStr Application of dynamic modelling to identify buildings at risk and pedestrian travel times to safety areas in a debris flow worst-case scenario
title_full_unstemmed Application of dynamic modelling to identify buildings at risk and pedestrian travel times to safety areas in a debris flow worst-case scenario
title_sort Application of dynamic modelling to identify buildings at risk and pedestrian travel times to safety areas in a debris flow worst-case scenario
author Melo, Raquel
author_facet Melo, Raquel
Zêzere, José L.
Oliveira, Sérgio C.
Garcia, Ricardo A.C.
Oliveira, Sandra
Pereira, Susana
Piedade, Aldina
Santos, Pedro P.
van Asch, Theo
author_role author
author2 Zêzere, José L.
Oliveira, Sérgio C.
Garcia, Ricardo A.C.
Oliveira, Sandra
Pereira, Susana
Piedade, Aldina
Santos, Pedro P.
van Asch, Theo
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Melo, Raquel
Zêzere, José L.
Oliveira, Sérgio C.
Garcia, Ricardo A.C.
Oliveira, Sandra
Pereira, Susana
Piedade, Aldina
Santos, Pedro P.
van Asch, Theo
dc.subject.por.fl_str_mv debris flows
dynamic run-out modelling
dasymetric distribution
pedestrian evacuation
anisotropic least-cost path
topic debris flows
dynamic run-out modelling
dasymetric distribution
pedestrian evacuation
anisotropic least-cost path
description Debris flows are one of the most hazardous types of landslides in mountain regions. In the upper part of the Zêzere valley (Serra da Estrela, Portugal) several debris flows events occurred in the last 200 years, some of them causing loss of lives and material damages. In this work, a methodology for pedestrian evacuation modelling, in a debris flow hazard scenario, was implemented. A dynamic run-out model was used to evaluate the debris flows velocities, thickness of the deposits and extent of the mobilized material. The buildings potentially affected by the impact of debris flows were identified and the potentially exposed population was estimated by applying a dasymetric distribution. The results lead to the conclusion that, in the study area, the elders are the most exposed to debris flows. Furthermore, the time lapse between the debris flows initiation and the arrival at the buildings at risk was estimated, allowing to account for the overall number of buildings where the evacuation time takes longer than the debris flows arrival. Additionally, the safe areas within the study area were identified, and several safe public buildings with the capacity to gather a large number of persons were selected. Considering that the study area is located in a mountain region, characterized by steep slopes, the evacuation modelling was performed based on an anisotropic approach, in order to consider the influence of slope direction on travel costs. At the end, three pedestrian evacuation travel time scenarios, based on different walking speeds to accommodate residents with different ages in safer places, were compared and the results mapped. The implemented methodology is not local dependent, which allows its reproduction elsewhere.
publishDate 2022
dc.date.none.fl_str_mv 2022-08-31T09:54:55Z
2022-08-31
2022-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/32459
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url http://hdl.handle.net/10174/32459
dc.language.iso.fl_str_mv eng
language eng
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raquel.melo@uevora.pt
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ISBN: 978-972-778-232-1
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Jornadas do ICT 2022
publisher.none.fl_str_mv Jornadas do ICT 2022
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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