Landslide quantitative risk analysis of buildings at the municipal scale based on a rainfall triggering scenario
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10451/27206 |
Resumo: | A landslide quantitative risk analysis is applied the municipality of Santa Marta de Penagui~ao (N of Portugal) to evaluate the risk to which the buildings are exposed, using a vector data model in GIS. Two landslide subgroups were considered: landslide subgroup 1 (event inventory of landslides occurred on January 200)1; and landslide subgroup 2 (inventoried landslides occurred after the 2001 event until 2010). Seven landslide predisposing factors were weighted and integrated using the Information Value Method. The landslide susceptibility model was independently validated and the model performance was expressed by ROC curves. The probability of landslide size was estimated using a probability density function and the landslide hazard scenario was defined using the same landslide rainfall-triggering event. A vulnerability curve was constructed for each type of building considering its structural properties and the proxy of landslide magnitude. The economic value assigned for each building represents an approximated cadastral value. The landslide risk was computed for each building in vector format based on a rainfall triggering scenario and two landslide magnitudes. The probability of occurrence of small landslides is two orders of magnitude higher than the probability of occurrence for large landslides, which explains the higher risk generated by small landslides, despite of registering. |
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Landslide quantitative risk analysis of buildings at the municipal scale based on a rainfall triggering scenariosusceptibilityhazard scenarioshallow slidesvulnerabilitylandslide riskA landslide quantitative risk analysis is applied the municipality of Santa Marta de Penagui~ao (N of Portugal) to evaluate the risk to which the buildings are exposed, using a vector data model in GIS. Two landslide subgroups were considered: landslide subgroup 1 (event inventory of landslides occurred on January 200)1; and landslide subgroup 2 (inventoried landslides occurred after the 2001 event until 2010). Seven landslide predisposing factors were weighted and integrated using the Information Value Method. The landslide susceptibility model was independently validated and the model performance was expressed by ROC curves. The probability of landslide size was estimated using a probability density function and the landslide hazard scenario was defined using the same landslide rainfall-triggering event. A vulnerability curve was constructed for each type of building considering its structural properties and the proxy of landslide magnitude. The economic value assigned for each building represents an approximated cadastral value. The landslide risk was computed for each building in vector format based on a rainfall triggering scenario and two landslide magnitudes. The probability of occurrence of small landslides is two orders of magnitude higher than the probability of occurrence for large landslides, which explains the higher risk generated by small landslides, despite of registering.Taylor & FrancisRepositório da Universidade de Lisboada Silva Pereira, SusanaGarcia, Ricardo A CZêzere, JoséOliveira, SérgioSilva, Márcio2017-11-04T01:30:13Z20172017-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/27206engSusana Pereira, Ricardo A. C. Garcia, José Luís Zêzere, Sérgio Cruz Oliveira & Márcio Silva (2016): Landslide quantitative risk analysis of buildings at the municipal scale based on a rainfall triggering scenario, Geomatics, Natural Hazards and Risk, DOI:10.1080/19475705.2016.12501161947-570510.1080/19475705.2016.1250116metadata only accessinfo: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:RCAAP2023-11-08T16:17:54Zoai:repositorio.ul.pt:10451/27206Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:43:41.114820Repositório 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 |
Landslide quantitative risk analysis of buildings at the municipal scale based on a rainfall triggering scenario |
title |
Landslide quantitative risk analysis of buildings at the municipal scale based on a rainfall triggering scenario |
spellingShingle |
Landslide quantitative risk analysis of buildings at the municipal scale based on a rainfall triggering scenario da Silva Pereira, Susana susceptibility hazard scenario shallow slides vulnerability landslide risk |
title_short |
Landslide quantitative risk analysis of buildings at the municipal scale based on a rainfall triggering scenario |
title_full |
Landslide quantitative risk analysis of buildings at the municipal scale based on a rainfall triggering scenario |
title_fullStr |
Landslide quantitative risk analysis of buildings at the municipal scale based on a rainfall triggering scenario |
title_full_unstemmed |
Landslide quantitative risk analysis of buildings at the municipal scale based on a rainfall triggering scenario |
title_sort |
Landslide quantitative risk analysis of buildings at the municipal scale based on a rainfall triggering scenario |
author |
da Silva Pereira, Susana |
author_facet |
da Silva Pereira, Susana Garcia, Ricardo A C Zêzere, José Oliveira, Sérgio Silva, Márcio |
author_role |
author |
author2 |
Garcia, Ricardo A C Zêzere, José Oliveira, Sérgio Silva, Márcio |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
da Silva Pereira, Susana Garcia, Ricardo A C Zêzere, José Oliveira, Sérgio Silva, Márcio |
dc.subject.por.fl_str_mv |
susceptibility hazard scenario shallow slides vulnerability landslide risk |
topic |
susceptibility hazard scenario shallow slides vulnerability landslide risk |
description |
A landslide quantitative risk analysis is applied the municipality of Santa Marta de Penagui~ao (N of Portugal) to evaluate the risk to which the buildings are exposed, using a vector data model in GIS. Two landslide subgroups were considered: landslide subgroup 1 (event inventory of landslides occurred on January 200)1; and landslide subgroup 2 (inventoried landslides occurred after the 2001 event until 2010). Seven landslide predisposing factors were weighted and integrated using the Information Value Method. The landslide susceptibility model was independently validated and the model performance was expressed by ROC curves. The probability of landslide size was estimated using a probability density function and the landslide hazard scenario was defined using the same landslide rainfall-triggering event. A vulnerability curve was constructed for each type of building considering its structural properties and the proxy of landslide magnitude. The economic value assigned for each building represents an approximated cadastral value. The landslide risk was computed for each building in vector format based on a rainfall triggering scenario and two landslide magnitudes. The probability of occurrence of small landslides is two orders of magnitude higher than the probability of occurrence for large landslides, which explains the higher risk generated by small landslides, despite of registering. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-11-04T01:30:13Z 2017 2017-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10451/27206 |
url |
http://hdl.handle.net/10451/27206 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Susana Pereira, Ricardo A. C. Garcia, José Luís Zêzere, Sérgio Cruz Oliveira & Márcio Silva (2016): Landslide quantitative risk analysis of buildings at the municipal scale based on a rainfall triggering scenario, Geomatics, Natural Hazards and Risk, DOI:10.1080/19475705.2016.1250116 1947-5705 10.1080/19475705.2016.1250116 |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Taylor & Francis |
publisher.none.fl_str_mv |
Taylor & Francis |
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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1799134356496711680 |