Road network exposure to deep-seated and shallow slides at the basin-scale (Grande da Pipa River basin, Portugal)
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/10174/32428 |
Resumo: | Landslides are well-known for their destructive capacity; however, risk only exists if an interaction with people, activities, structures and infrastructures occurs. When landslides affect roads and potential human losses, both road damage and road disruption can cause significant economic losses. Therefore, in the framework of spatial planning, civil protection, emergency and risk management, the evaluation of road network landslide exposure is necessary. The primary goal of this work is to assess the present road network exposure to deep-seated and shallow slides at the Grande da Pipa River basin (North of Lisbon region, Portugal), an area naturally prone to geomorphological hazards. Our approach to assessing road network exposure is sustained by two different dataset inputs: (i) three landslide susceptibility maps and (ii) one road network map. The susceptibility to landslides, computed with the Information Value method and validated with success and prediction rate curves, as well as with the estimation of the area under the curves, was individually assessed for deep-seated rotational, shallow rotational and shallow translational slides. The road network exposure to each landslide type resulted from the intersection between the two top landslide susceptibility classes and the classified road network according to its rank, allowing the critical road sections to be identified. The road network is mainly exposed to deep-seated rotational slides. However, the other landslide types can also disrupt the road functionality and affect residents and economic activities. |
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Road network exposure to deep-seated and shallow slides at the basin-scale (Grande da Pipa River basin, Portugal)Deep-seated and shallow slidesRoad networkSusceptibilityExposureBasin-scaleLandslides are well-known for their destructive capacity; however, risk only exists if an interaction with people, activities, structures and infrastructures occurs. When landslides affect roads and potential human losses, both road damage and road disruption can cause significant economic losses. Therefore, in the framework of spatial planning, civil protection, emergency and risk management, the evaluation of road network landslide exposure is necessary. The primary goal of this work is to assess the present road network exposure to deep-seated and shallow slides at the Grande da Pipa River basin (North of Lisbon region, Portugal), an area naturally prone to geomorphological hazards. Our approach to assessing road network exposure is sustained by two different dataset inputs: (i) three landslide susceptibility maps and (ii) one road network map. The susceptibility to landslides, computed with the Information Value method and validated with success and prediction rate curves, as well as with the estimation of the area under the curves, was individually assessed for deep-seated rotational, shallow rotational and shallow translational slides. The road network exposure to each landslide type resulted from the intersection between the two top landslide susceptibility classes and the classified road network according to its rank, allowing the critical road sections to be identified. The road network is mainly exposed to deep-seated rotational slides. However, the other landslide types can also disrupt the road functionality and affect residents and economic activities.International Workshop on NATURAL HAZARDS — NatHaz’222022-08-29T11:44:27Z2022-08-292022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://hdl.handle.net/10174/32428http://hdl.handle.net/10174/32428engsimnaonaondndraquel.melo@uevora.ptBranco, IgorOliveira, Sérgio C.Melo, Raquelinfo: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:RCAAP2024-01-03T19:33:12Zoai:dspace.uevora.pt:10174/32428Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:21:27.908060Repositório 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 |
Road network exposure to deep-seated and shallow slides at the basin-scale (Grande da Pipa River basin, Portugal) |
title |
Road network exposure to deep-seated and shallow slides at the basin-scale (Grande da Pipa River basin, Portugal) |
spellingShingle |
Road network exposure to deep-seated and shallow slides at the basin-scale (Grande da Pipa River basin, Portugal) Branco, Igor Deep-seated and shallow slides Road network Susceptibility Exposure Basin-scale |
title_short |
Road network exposure to deep-seated and shallow slides at the basin-scale (Grande da Pipa River basin, Portugal) |
title_full |
Road network exposure to deep-seated and shallow slides at the basin-scale (Grande da Pipa River basin, Portugal) |
title_fullStr |
Road network exposure to deep-seated and shallow slides at the basin-scale (Grande da Pipa River basin, Portugal) |
title_full_unstemmed |
Road network exposure to deep-seated and shallow slides at the basin-scale (Grande da Pipa River basin, Portugal) |
title_sort |
Road network exposure to deep-seated and shallow slides at the basin-scale (Grande da Pipa River basin, Portugal) |
author |
Branco, Igor |
author_facet |
Branco, Igor Oliveira, Sérgio C. Melo, Raquel |
author_role |
author |
author2 |
Oliveira, Sérgio C. Melo, Raquel |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Branco, Igor Oliveira, Sérgio C. Melo, Raquel |
dc.subject.por.fl_str_mv |
Deep-seated and shallow slides Road network Susceptibility Exposure Basin-scale |
topic |
Deep-seated and shallow slides Road network Susceptibility Exposure Basin-scale |
description |
Landslides are well-known for their destructive capacity; however, risk only exists if an interaction with people, activities, structures and infrastructures occurs. When landslides affect roads and potential human losses, both road damage and road disruption can cause significant economic losses. Therefore, in the framework of spatial planning, civil protection, emergency and risk management, the evaluation of road network landslide exposure is necessary. The primary goal of this work is to assess the present road network exposure to deep-seated and shallow slides at the Grande da Pipa River basin (North of Lisbon region, Portugal), an area naturally prone to geomorphological hazards. Our approach to assessing road network exposure is sustained by two different dataset inputs: (i) three landslide susceptibility maps and (ii) one road network map. The susceptibility to landslides, computed with the Information Value method and validated with success and prediction rate curves, as well as with the estimation of the area under the curves, was individually assessed for deep-seated rotational, shallow rotational and shallow translational slides. The road network exposure to each landslide type resulted from the intersection between the two top landslide susceptibility classes and the classified road network according to its rank, allowing the critical road sections to be identified. The road network is mainly exposed to deep-seated rotational slides. However, the other landslide types can also disrupt the road functionality and affect residents and economic activities. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-08-29T11:44:27Z 2022-08-29 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/10174/32428 http://hdl.handle.net/10174/32428 |
url |
http://hdl.handle.net/10174/32428 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
sim nao nao nd nd raquel.melo@uevora.pt |
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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1799136696548196352 |