Road infrastructure resilience to climate change: a hydrological-based model for flood risk assessment and preventive asset management

Detalhes bibliográficos
Autor(a) principal: Ramísio, Paulo J.
Data de Publicação: 2023
Outros Autores: Vieira, Clara, Sousa, Fernando
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/90324
Resumo: Climate change is increasing the incidence and severity of extreme weather events around the world, and flooding is a growing risk factor for road infrastructure drainage systems. Extreme events are becoming more frequent, more intense and of longer duration, and heavy precipitation is no exception, so flooding is also becoming more frequent and of greater magnitude. Hydrodynamic modelling of the hydrological phenomena and processes associated with the generation of surface runoff is of paramount importance in improving the resilience of road infrastructure to extreme precipitation and flood events. In this paper, a hydrological-based model is proposed, tested, and validated for a selected case study and then will be extended to several case studies. The PH29 culvert of the A41 highway of the Ascendi network in northern Portugal is the starting point for the development of a simple hydrological-based model for the estimation of flood hydrographs, taking into account the temporal variability of precipitation and the spatial and temporal variation of the runoff coefficient in the catchment area. To this end, robust precipitation data recorded in recent years and higher resolution satellite data for land use mapping will be considered in the development of the hydrological-based model to better represent the space-time variability of precipitation events and the variation of land use over time. It should be noted that the PH29 culvert is an interesting case study as it has already undergone two major interventions and there have been hydraulic and land use changes in the catchment area. The ultimate aim is to establish a relationship between changing precipitation patterns (and land use) and flood hydrographs for the catchment area, and thereby identify risk mitigation measures to increase the resilience of drainage systems to extreme events and prevent potential damage to road infrastructure. This will also increase the resilience of road infrastructure to natural hazards and improve design criteria, while reducing operating costs and contributing to more effective asset management policy.
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spelling Road infrastructure resilience to climate change: a hydrological-based model for flood risk assessment and preventive asset managementClimate changeCulvertsDynamic hydrological modellingFloodsHydrological-based modelPrecipitationRainfall-runoff-routingRoad infrastructure drainage systemsSurface runoffEngenharia e Tecnologia::Engenharia CivilÁgua potável e saneamentoCidades e comunidades sustentáveisClimate change is increasing the incidence and severity of extreme weather events around the world, and flooding is a growing risk factor for road infrastructure drainage systems. Extreme events are becoming more frequent, more intense and of longer duration, and heavy precipitation is no exception, so flooding is also becoming more frequent and of greater magnitude. Hydrodynamic modelling of the hydrological phenomena and processes associated with the generation of surface runoff is of paramount importance in improving the resilience of road infrastructure to extreme precipitation and flood events. In this paper, a hydrological-based model is proposed, tested, and validated for a selected case study and then will be extended to several case studies. The PH29 culvert of the A41 highway of the Ascendi network in northern Portugal is the starting point for the development of a simple hydrological-based model for the estimation of flood hydrographs, taking into account the temporal variability of precipitation and the spatial and temporal variation of the runoff coefficient in the catchment area. To this end, robust precipitation data recorded in recent years and higher resolution satellite data for land use mapping will be considered in the development of the hydrological-based model to better represent the space-time variability of precipitation events and the variation of land use over time. It should be noted that the PH29 culvert is an interesting case study as it has already undergone two major interventions and there have been hydraulic and land use changes in the catchment area. The ultimate aim is to establish a relationship between changing precipitation patterns (and land use) and flood hydrographs for the catchment area, and thereby identify risk mitigation measures to increase the resilience of drainage systems to extreme events and prevent potential damage to road infrastructure. This will also increase the resilience of road infrastructure to natural hazards and improve design criteria, while reducing operating costs and contributing to more effective asset management policy.Universidade do MinhoRamísio, Paulo J.Vieira, ClaraSousa, Fernando20232023-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/1822/90324enginfo: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:RCAAP2024-05-11T05:55:50Zoai:repositorium.sdum.uminho.pt:1822/90324Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-11T05:55:50Repositório 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 infrastructure resilience to climate change: a hydrological-based model for flood risk assessment and preventive asset management
title Road infrastructure resilience to climate change: a hydrological-based model for flood risk assessment and preventive asset management
spellingShingle Road infrastructure resilience to climate change: a hydrological-based model for flood risk assessment and preventive asset management
Ramísio, Paulo J.
Climate change
Culverts
Dynamic hydrological modelling
Floods
Hydrological-based model
Precipitation
Rainfall-runoff-routing
Road infrastructure drainage systems
Surface runoff
Engenharia e Tecnologia::Engenharia Civil
Água potável e saneamento
Cidades e comunidades sustentáveis
title_short Road infrastructure resilience to climate change: a hydrological-based model for flood risk assessment and preventive asset management
title_full Road infrastructure resilience to climate change: a hydrological-based model for flood risk assessment and preventive asset management
title_fullStr Road infrastructure resilience to climate change: a hydrological-based model for flood risk assessment and preventive asset management
title_full_unstemmed Road infrastructure resilience to climate change: a hydrological-based model for flood risk assessment and preventive asset management
title_sort Road infrastructure resilience to climate change: a hydrological-based model for flood risk assessment and preventive asset management
author Ramísio, Paulo J.
author_facet Ramísio, Paulo J.
Vieira, Clara
Sousa, Fernando
author_role author
author2 Vieira, Clara
Sousa, Fernando
author2_role author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Ramísio, Paulo J.
Vieira, Clara
Sousa, Fernando
dc.subject.por.fl_str_mv Climate change
Culverts
Dynamic hydrological modelling
Floods
Hydrological-based model
Precipitation
Rainfall-runoff-routing
Road infrastructure drainage systems
Surface runoff
Engenharia e Tecnologia::Engenharia Civil
Água potável e saneamento
Cidades e comunidades sustentáveis
topic Climate change
Culverts
Dynamic hydrological modelling
Floods
Hydrological-based model
Precipitation
Rainfall-runoff-routing
Road infrastructure drainage systems
Surface runoff
Engenharia e Tecnologia::Engenharia Civil
Água potável e saneamento
Cidades e comunidades sustentáveis
description Climate change is increasing the incidence and severity of extreme weather events around the world, and flooding is a growing risk factor for road infrastructure drainage systems. Extreme events are becoming more frequent, more intense and of longer duration, and heavy precipitation is no exception, so flooding is also becoming more frequent and of greater magnitude. Hydrodynamic modelling of the hydrological phenomena and processes associated with the generation of surface runoff is of paramount importance in improving the resilience of road infrastructure to extreme precipitation and flood events. In this paper, a hydrological-based model is proposed, tested, and validated for a selected case study and then will be extended to several case studies. The PH29 culvert of the A41 highway of the Ascendi network in northern Portugal is the starting point for the development of a simple hydrological-based model for the estimation of flood hydrographs, taking into account the temporal variability of precipitation and the spatial and temporal variation of the runoff coefficient in the catchment area. To this end, robust precipitation data recorded in recent years and higher resolution satellite data for land use mapping will be considered in the development of the hydrological-based model to better represent the space-time variability of precipitation events and the variation of land use over time. It should be noted that the PH29 culvert is an interesting case study as it has already undergone two major interventions and there have been hydraulic and land use changes in the catchment area. The ultimate aim is to establish a relationship between changing precipitation patterns (and land use) and flood hydrographs for the catchment area, and thereby identify risk mitigation measures to increase the resilience of drainage systems to extreme events and prevent potential damage to road infrastructure. This will also increase the resilience of road infrastructure to natural hazards and improve design criteria, while reducing operating costs and contributing to more effective asset management policy.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-01-01T00:00:00Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/90324
url https://hdl.handle.net/1822/90324
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
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 mluisa.alvim@gmail.com
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