Application of dynamic modelling to identify buildings at risk and pedestrian travel times to safety areas in a debris flow worst-case scenario
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , |
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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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 |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10174/32459 http://hdl.handle.net/10174/32459 |
url |
http://hdl.handle.net/10174/32459 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
sim nao nao raquel.melo@uevora.pt nd nd nd nd nd nd nd nd 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 |
repository.mail.fl_str_mv |
|
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1799136696521981952 |