Road network exposure to deep-seated and shallow slides at the basin-scale (Grande da Pipa River basin, Portugal)

Detalhes bibliográficos
Autor(a) principal: Branco, Igor
Data de Publicação: 2022
Outros Autores: Oliveira, Sérgio C., Melo, Raquel
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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spelling 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
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/32428
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dc.language.iso.fl_str_mv eng
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raquel.melo@uevora.pt
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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)
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