Road infrastructure resilience to climate change: a hydrological-based model for flood risk assessment and preventive asset management
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , |
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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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 |
_version_ |
1817544789768273920 |