Susceptibility assessment to different types of landslides in the coastal cliffs of Lourinhã (Central Portugal)

Detalhes bibliográficos
Autor(a) principal: Epifânio, Bruno
Data de Publicação: 2014
Outros Autores: Zêzere, José, Neves, Mário
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/27192
Resumo: The coastal zone of Lourinhã (located in Central Portugal) is characterized by beach–cliff systems,where beaches are narrowand cliffs have notorious slope instability. These cliffs evolve by different types of landslides,which are one of the main sources of natural hazard and risk in this coastal region. In this work, aerial photo interpretation and a systematic field survey were performed in order to obtain an inventory of landslides of the following types: rotational slides, translational slides and debris flows. The entire coast was then split into 261 terrain mapping units. For each unit, landslide predisposing factors were derived and classified: cliff elevation, slope angle (maximum, mean and standard deviation), potential solar radiation, slope curvature (profile and plan), lithological units and geologic structure. The predictive susceptibility models were computed for each type of landslide using a bi-variate statisticalmethod — the Information ValueMethod. The degree of fit and the predictive capacity of the models were assessed using the Effectiveness Ratio, the standard Receiver Operator Characteristic curves and the respective Area Under Curve. Results showthat each landslide typology occurs in particular terrain conditions. Individual susceptibilitymodels evidence better predictive capacity than susceptibility model for total landslides.
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spelling Susceptibility assessment to different types of landslides in the coastal cliffs of Lourinhã (Central Portugal)Coastal CliffsLandslidesSusceptibilityInformation ValuePortuguese Western CoastThe coastal zone of Lourinhã (located in Central Portugal) is characterized by beach–cliff systems,where beaches are narrowand cliffs have notorious slope instability. These cliffs evolve by different types of landslides,which are one of the main sources of natural hazard and risk in this coastal region. In this work, aerial photo interpretation and a systematic field survey were performed in order to obtain an inventory of landslides of the following types: rotational slides, translational slides and debris flows. The entire coast was then split into 261 terrain mapping units. For each unit, landslide predisposing factors were derived and classified: cliff elevation, slope angle (maximum, mean and standard deviation), potential solar radiation, slope curvature (profile and plan), lithological units and geologic structure. The predictive susceptibility models were computed for each type of landslide using a bi-variate statisticalmethod — the Information ValueMethod. The degree of fit and the predictive capacity of the models were assessed using the Effectiveness Ratio, the standard Receiver Operator Characteristic curves and the respective Area Under Curve. Results showthat each landslide typology occurs in particular terrain conditions. Individual susceptibilitymodels evidence better predictive capacity than susceptibility model for total landslides.ElsevierRepositório da Universidade de LisboaEpifânio, BrunoZêzere, JoséNeves, Mário2017-03-13T15:22:19Z20142014-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/27192eng1385-110110.1016/j.seares.2014.04.006metadata 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:RCAAP2023-11-08T16:17:50Zoai:repositorio.ul.pt:10451/27192Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:43:39.586109Repositório 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 Susceptibility assessment to different types of landslides in the coastal cliffs of Lourinhã (Central Portugal)
title Susceptibility assessment to different types of landslides in the coastal cliffs of Lourinhã (Central Portugal)
spellingShingle Susceptibility assessment to different types of landslides in the coastal cliffs of Lourinhã (Central Portugal)
Epifânio, Bruno
Coastal Cliffs
Landslides
Susceptibility
Information Value
Portuguese Western Coast
title_short Susceptibility assessment to different types of landslides in the coastal cliffs of Lourinhã (Central Portugal)
title_full Susceptibility assessment to different types of landslides in the coastal cliffs of Lourinhã (Central Portugal)
title_fullStr Susceptibility assessment to different types of landslides in the coastal cliffs of Lourinhã (Central Portugal)
title_full_unstemmed Susceptibility assessment to different types of landslides in the coastal cliffs of Lourinhã (Central Portugal)
title_sort Susceptibility assessment to different types of landslides in the coastal cliffs of Lourinhã (Central Portugal)
author Epifânio, Bruno
author_facet Epifânio, Bruno
Zêzere, José
Neves, Mário
author_role author
author2 Zêzere, José
Neves, Mário
author2_role author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Epifânio, Bruno
Zêzere, José
Neves, Mário
dc.subject.por.fl_str_mv Coastal Cliffs
Landslides
Susceptibility
Information Value
Portuguese Western Coast
topic Coastal Cliffs
Landslides
Susceptibility
Information Value
Portuguese Western Coast
description The coastal zone of Lourinhã (located in Central Portugal) is characterized by beach–cliff systems,where beaches are narrowand cliffs have notorious slope instability. These cliffs evolve by different types of landslides,which are one of the main sources of natural hazard and risk in this coastal region. In this work, aerial photo interpretation and a systematic field survey were performed in order to obtain an inventory of landslides of the following types: rotational slides, translational slides and debris flows. The entire coast was then split into 261 terrain mapping units. For each unit, landslide predisposing factors were derived and classified: cliff elevation, slope angle (maximum, mean and standard deviation), potential solar radiation, slope curvature (profile and plan), lithological units and geologic structure. The predictive susceptibility models were computed for each type of landslide using a bi-variate statisticalmethod — the Information ValueMethod. The degree of fit and the predictive capacity of the models were assessed using the Effectiveness Ratio, the standard Receiver Operator Characteristic curves and the respective Area Under Curve. Results showthat each landslide typology occurs in particular terrain conditions. Individual susceptibilitymodels evidence better predictive capacity than susceptibility model for total landslides.
publishDate 2014
dc.date.none.fl_str_mv 2014
2014-01-01T00:00:00Z
2017-03-13T15:22:19Z
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format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10451/27192
url http://hdl.handle.net/10451/27192
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1385-1101
10.1016/j.seares.2014.04.006
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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 Elsevier
publisher.none.fl_str_mv Elsevier
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
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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