Improving a DSM Obtained by Unmanned Aerial Vehicles for Flood Modelling
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10174/22759 https://doi.org/10.1088/1755-1315/95/2/022014 |
Resumo: | According to the EU flood risks directive, flood hazard map must be used to assess the flood risk. These maps can be developed with hydraulic modelling tools using a Digital Surface Runoff Model (DSRM). During the last decade, important evolutions of the spatial data processing has been developed which will certainly improve the hydraulic models results. Currently, images acquired with Red/Green/Blue (RGB) camera transported by Unmanned Aerial Vehicles (UAV) are seen as a good alternative data sources to represent the terrain surface with a high level of resolution and precision. The question is if the digital surface model obtain with this data is adequate enough for a good representation of the hydraulics flood characteristics. For this purpose, the hydraulic model HEC-RAS was run with 4 different DSRM for an 8.5 km reach of the Lis River in Portugal. The computational performance of the 4 modelling implementations is evaluated. Two hydrometric stations water level records were used as boundary conditions of the hydraulic model. The records from a third hydrometric station were used to validate the optimal DSRM. The HEC-RAS results had the best performance during the validation step were the ones where the DSRM with integration of the two altimetry data sources. |
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Improving a DSM Obtained by Unmanned Aerial Vehicles for Flood ModellingHEC-RASFlood Hazard MapsHydraulic modellingDigital Surface Runoff ModelRGBUAVAccording to the EU flood risks directive, flood hazard map must be used to assess the flood risk. These maps can be developed with hydraulic modelling tools using a Digital Surface Runoff Model (DSRM). During the last decade, important evolutions of the spatial data processing has been developed which will certainly improve the hydraulic models results. Currently, images acquired with Red/Green/Blue (RGB) camera transported by Unmanned Aerial Vehicles (UAV) are seen as a good alternative data sources to represent the terrain surface with a high level of resolution and precision. The question is if the digital surface model obtain with this data is adequate enough for a good representation of the hydraulics flood characteristics. For this purpose, the hydraulic model HEC-RAS was run with 4 different DSRM for an 8.5 km reach of the Lis River in Portugal. The computational performance of the 4 modelling implementations is evaluated. Two hydrometric stations water level records were used as boundary conditions of the hydraulic model. The records from a third hydrometric station were used to validate the optimal DSRM. The HEC-RAS results had the best performance during the validation step were the ones where the DSRM with integration of the two altimetry data sources.IOP Publishing Ltd2018-03-02T14:52:48Z2018-03-022017-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/22759http://hdl.handle.net/10174/22759https://doi.org/10.1088/1755-1315/95/2/022014porMourato, S., Fernandez, P., Pereira, L., & Moreira, M. (2017). Improving a DSM Obtained by Unmanned Aerial Vehicles for Flood Modelling. IOP Conference Series: Earth and Environmental Science, 95, 022014.http://iopscience.iop.org/article/10.1088/1755-1315/95/2/022014/metandndndmmvmv@uevora.pt472Mourato, SandraFernandez, PauloPereira, LuísaMoreira, Madalenainfo: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:RCAAP2024-01-03T19:13:58Zoai:dspace.uevora.pt:10174/22759Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:13:35.838952Repositório 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 |
Improving a DSM Obtained by Unmanned Aerial Vehicles for Flood Modelling |
title |
Improving a DSM Obtained by Unmanned Aerial Vehicles for Flood Modelling |
spellingShingle |
Improving a DSM Obtained by Unmanned Aerial Vehicles for Flood Modelling Mourato, Sandra HEC-RAS Flood Hazard Maps Hydraulic modelling Digital Surface Runoff Model RGB UAV |
title_short |
Improving a DSM Obtained by Unmanned Aerial Vehicles for Flood Modelling |
title_full |
Improving a DSM Obtained by Unmanned Aerial Vehicles for Flood Modelling |
title_fullStr |
Improving a DSM Obtained by Unmanned Aerial Vehicles for Flood Modelling |
title_full_unstemmed |
Improving a DSM Obtained by Unmanned Aerial Vehicles for Flood Modelling |
title_sort |
Improving a DSM Obtained by Unmanned Aerial Vehicles for Flood Modelling |
author |
Mourato, Sandra |
author_facet |
Mourato, Sandra Fernandez, Paulo Pereira, Luísa Moreira, Madalena |
author_role |
author |
author2 |
Fernandez, Paulo Pereira, Luísa Moreira, Madalena |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Mourato, Sandra Fernandez, Paulo Pereira, Luísa Moreira, Madalena |
dc.subject.por.fl_str_mv |
HEC-RAS Flood Hazard Maps Hydraulic modelling Digital Surface Runoff Model RGB UAV |
topic |
HEC-RAS Flood Hazard Maps Hydraulic modelling Digital Surface Runoff Model RGB UAV |
description |
According to the EU flood risks directive, flood hazard map must be used to assess the flood risk. These maps can be developed with hydraulic modelling tools using a Digital Surface Runoff Model (DSRM). During the last decade, important evolutions of the spatial data processing has been developed which will certainly improve the hydraulic models results. Currently, images acquired with Red/Green/Blue (RGB) camera transported by Unmanned Aerial Vehicles (UAV) are seen as a good alternative data sources to represent the terrain surface with a high level of resolution and precision. The question is if the digital surface model obtain with this data is adequate enough for a good representation of the hydraulics flood characteristics. For this purpose, the hydraulic model HEC-RAS was run with 4 different DSRM for an 8.5 km reach of the Lis River in Portugal. The computational performance of the 4 modelling implementations is evaluated. Two hydrometric stations water level records were used as boundary conditions of the hydraulic model. The records from a third hydrometric station were used to validate the optimal DSRM. The HEC-RAS results had the best performance during the validation step were the ones where the DSRM with integration of the two altimetry data sources. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-01-01T00:00:00Z 2018-03-02T14:52:48Z 2018-03-02 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10174/22759 http://hdl.handle.net/10174/22759 https://doi.org/10.1088/1755-1315/95/2/022014 |
url |
http://hdl.handle.net/10174/22759 https://doi.org/10.1088/1755-1315/95/2/022014 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
Mourato, S., Fernandez, P., Pereira, L., & Moreira, M. (2017). Improving a DSM Obtained by Unmanned Aerial Vehicles for Flood Modelling. IOP Conference Series: Earth and Environmental Science, 95, 022014. http://iopscience.iop.org/article/10.1088/1755-1315/95/2/022014/meta nd nd nd mmvmv@uevora.pt 472 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
IOP Publishing Ltd |
publisher.none.fl_str_mv |
IOP Publishing Ltd |
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 |
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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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1799136617815867392 |