From Geological to Lithological Maps – Exploring Differential Erosion to Improve Lithological Information for Landslide Susceptibility Assessment
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/10174/32457 |
Resumo: | For landslide susceptibility assessment, lithology information is often extrapolated from official geological maps, which do not allow a direct spatial transformation into a detailed lithological map. To overcome this limitation, a study was made for the Grande da Pipa River basin, Portugal, to detail the existing geological maps, keeping the units' age sequence but separating the main lithological types. In addition, it explored supplementary cartographic information (e.g., slope angle) to infer the boundaries of lithological units using differential erosion and associated morphological interpretation criteria. Finally, the lithological map produced was compared with the official geological map using sensitive analysis and different partitions of a historical landslide inventory. The results consistently record improved predictive capacity for landslide susceptibility if more detailed lithological maps are used instead of the commonly available geological maps. |
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From Geological to Lithological Maps – Exploring Differential Erosion to Improve Lithological Information for Landslide Susceptibility Assessmentgeological maplithological mapcartographic informationsusceptibilitylandslidesFor landslide susceptibility assessment, lithology information is often extrapolated from official geological maps, which do not allow a direct spatial transformation into a detailed lithological map. To overcome this limitation, a study was made for the Grande da Pipa River basin, Portugal, to detail the existing geological maps, keeping the units' age sequence but separating the main lithological types. In addition, it explored supplementary cartographic information (e.g., slope angle) to infer the boundaries of lithological units using differential erosion and associated morphological interpretation criteria. Finally, the lithological map produced was compared with the official geological map using sensitive analysis and different partitions of a historical landslide inventory. The results consistently record improved predictive capacity for landslide susceptibility if more detailed lithological maps are used instead of the commonly available geological maps.International Workshop on NATURAL HAZARDS — NatHaz’222022-08-31T09:52:29Z2022-08-312022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://hdl.handle.net/10174/32457http://hdl.handle.net/10174/32457engsimnaonaondraquel.melo@uevora.ptndndndndOliveira, Sérgio C.Melo, RaquelMarques, FernandoFonseca, RutePimenta, RitaZêzere, José L.info: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:RCAAP2024-01-03T19:33:11Zoai:dspace.uevora.pt:10174/32457Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:21:27.862380Repositório 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 |
From Geological to Lithological Maps – Exploring Differential Erosion to Improve Lithological Information for Landslide Susceptibility Assessment |
title |
From Geological to Lithological Maps – Exploring Differential Erosion to Improve Lithological Information for Landslide Susceptibility Assessment |
spellingShingle |
From Geological to Lithological Maps – Exploring Differential Erosion to Improve Lithological Information for Landslide Susceptibility Assessment Oliveira, Sérgio C. geological map lithological map cartographic information susceptibility landslides |
title_short |
From Geological to Lithological Maps – Exploring Differential Erosion to Improve Lithological Information for Landslide Susceptibility Assessment |
title_full |
From Geological to Lithological Maps – Exploring Differential Erosion to Improve Lithological Information for Landslide Susceptibility Assessment |
title_fullStr |
From Geological to Lithological Maps – Exploring Differential Erosion to Improve Lithological Information for Landslide Susceptibility Assessment |
title_full_unstemmed |
From Geological to Lithological Maps – Exploring Differential Erosion to Improve Lithological Information for Landslide Susceptibility Assessment |
title_sort |
From Geological to Lithological Maps – Exploring Differential Erosion to Improve Lithological Information for Landslide Susceptibility Assessment |
author |
Oliveira, Sérgio C. |
author_facet |
Oliveira, Sérgio C. Melo, Raquel Marques, Fernando Fonseca, Rute Pimenta, Rita Zêzere, José L. |
author_role |
author |
author2 |
Melo, Raquel Marques, Fernando Fonseca, Rute Pimenta, Rita Zêzere, José L. |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Oliveira, Sérgio C. Melo, Raquel Marques, Fernando Fonseca, Rute Pimenta, Rita Zêzere, José L. |
dc.subject.por.fl_str_mv |
geological map lithological map cartographic information susceptibility landslides |
topic |
geological map lithological map cartographic information susceptibility landslides |
description |
For landslide susceptibility assessment, lithology information is often extrapolated from official geological maps, which do not allow a direct spatial transformation into a detailed lithological map. To overcome this limitation, a study was made for the Grande da Pipa River basin, Portugal, to detail the existing geological maps, keeping the units' age sequence but separating the main lithological types. In addition, it explored supplementary cartographic information (e.g., slope angle) to infer the boundaries of lithological units using differential erosion and associated morphological interpretation criteria. Finally, the lithological map produced was compared with the official geological map using sensitive analysis and different partitions of a historical landslide inventory. The results consistently record improved predictive capacity for landslide susceptibility if more detailed lithological maps are used instead of the commonly available geological maps. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-08-31T09:52:29Z 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/10174/32457 http://hdl.handle.net/10174/32457 |
url |
http://hdl.handle.net/10174/32457 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
sim nao nao nd raquel.melo@uevora.pt nd nd nd nd |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
International Workshop on NATURAL HAZARDS — NatHaz’22 |
publisher.none.fl_str_mv |
International Workshop on NATURAL HAZARDS — NatHaz’22 |
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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1799136696545050624 |