Assessing the capacity of large-scale hydrologic-hydrodynamic models for mapping flood hazard in southern Brazil

Detalhes bibliográficos
Autor(a) principal: Alves,Maria Eduarda Pereira
Data de Publicação: 2022
Outros Autores: Fan,Fernando Mainardi, Paiva,Rodrigo Cauduro Dias de, Siqueira,Vinícius Alencar, Fleischmann,Ayan Santos, Brêda,João Paulo, Laipelt,Leonardo, Araújo,Alexandre Abdalla
Tipo de documento: Artigo
Idioma: eng
Título da fonte: RBRH (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312022000100208
Resumo: ABSTRACT Mapping flood risk areas is important for disaster management at the local, regional, and national scales. The aim of this study was to evaluate the ability of large-scale models to obtain flood hazard maps. The models were compared to the estimates developed by the Brazilian Geological Survey (CPRM) for different return periods (RP). The floods were evaluated for the municipalities of Uruguaiana, Montenegro and São Sebastião do Caí in the Rio Grande do Sul state. It was shown that the flood mapping generated by MGB covers larger areas (greater than 1000 km2; Siqueira et al. 2018), with a lower cost of obtaining for large scales. The - Hit Rate of the regional and continental MGB model versions with the CPRM maps ranged from about 40% to 90% in different cities, and the Hit Rate between the regional model and the CPRM map increased with the increased return period floods. The continental model compatibility was similar for all analyzed RPs. Our results suggest the agreement in terms of Hit Rate of current large-scale hydrological-hydrodynamic models to assess flood hazard.
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spelling Assessing the capacity of large-scale hydrologic-hydrodynamic models for mapping flood hazard in southern BrazilFlood mappingHydrodynamic modellingLarge scalesABSTRACT Mapping flood risk areas is important for disaster management at the local, regional, and national scales. The aim of this study was to evaluate the ability of large-scale models to obtain flood hazard maps. The models were compared to the estimates developed by the Brazilian Geological Survey (CPRM) for different return periods (RP). The floods were evaluated for the municipalities of Uruguaiana, Montenegro and São Sebastião do Caí in the Rio Grande do Sul state. It was shown that the flood mapping generated by MGB covers larger areas (greater than 1000 km2; Siqueira et al. 2018), with a lower cost of obtaining for large scales. The - Hit Rate of the regional and continental MGB model versions with the CPRM maps ranged from about 40% to 90% in different cities, and the Hit Rate between the regional model and the CPRM map increased with the increased return period floods. The continental model compatibility was similar for all analyzed RPs. Our results suggest the agreement in terms of Hit Rate of current large-scale hydrological-hydrodynamic models to assess flood hazard.Associação Brasileira de Recursos Hídricos2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312022000100208RBRH v.27 2022reponame:RBRH (Online)instname:Associação Brasileira de Recursos Hídricos (ABRH)instacron:ABRH10.1590/2318-0331.272220220009info:eu-repo/semantics/openAccessAlves,Maria Eduarda PereiraFan,Fernando MainardiPaiva,Rodrigo Cauduro Dias deSiqueira,Vinícius AlencarFleischmann,Ayan SantosBrêda,João PauloLaipelt,LeonardoAraújo,Alexandre Abdallaeng2022-05-25T00:00:00Zoai:scielo:S2318-03312022000100208Revistahttps://www.scielo.br/j/rbrh/https://old.scielo.br/oai/scielo-oai.php||rbrh@abrh.org.br2318-03311414-381Xopendoar:2022-05-25T00:00RBRH (Online) - Associação Brasileira de Recursos Hídricos (ABRH)false
dc.title.none.fl_str_mv Assessing the capacity of large-scale hydrologic-hydrodynamic models for mapping flood hazard in southern Brazil
title Assessing the capacity of large-scale hydrologic-hydrodynamic models for mapping flood hazard in southern Brazil
spellingShingle Assessing the capacity of large-scale hydrologic-hydrodynamic models for mapping flood hazard in southern Brazil
Alves,Maria Eduarda Pereira
Flood mapping
Hydrodynamic modelling
Large scales
title_short Assessing the capacity of large-scale hydrologic-hydrodynamic models for mapping flood hazard in southern Brazil
title_full Assessing the capacity of large-scale hydrologic-hydrodynamic models for mapping flood hazard in southern Brazil
title_fullStr Assessing the capacity of large-scale hydrologic-hydrodynamic models for mapping flood hazard in southern Brazil
title_full_unstemmed Assessing the capacity of large-scale hydrologic-hydrodynamic models for mapping flood hazard in southern Brazil
title_sort Assessing the capacity of large-scale hydrologic-hydrodynamic models for mapping flood hazard in southern Brazil
author Alves,Maria Eduarda Pereira
author_facet Alves,Maria Eduarda Pereira
Fan,Fernando Mainardi
Paiva,Rodrigo Cauduro Dias de
Siqueira,Vinícius Alencar
Fleischmann,Ayan Santos
Brêda,João Paulo
Laipelt,Leonardo
Araújo,Alexandre Abdalla
author_role author
author2 Fan,Fernando Mainardi
Paiva,Rodrigo Cauduro Dias de
Siqueira,Vinícius Alencar
Fleischmann,Ayan Santos
Brêda,João Paulo
Laipelt,Leonardo
Araújo,Alexandre Abdalla
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Alves,Maria Eduarda Pereira
Fan,Fernando Mainardi
Paiva,Rodrigo Cauduro Dias de
Siqueira,Vinícius Alencar
Fleischmann,Ayan Santos
Brêda,João Paulo
Laipelt,Leonardo
Araújo,Alexandre Abdalla
dc.subject.por.fl_str_mv Flood mapping
Hydrodynamic modelling
Large scales
topic Flood mapping
Hydrodynamic modelling
Large scales
description ABSTRACT Mapping flood risk areas is important for disaster management at the local, regional, and national scales. The aim of this study was to evaluate the ability of large-scale models to obtain flood hazard maps. The models were compared to the estimates developed by the Brazilian Geological Survey (CPRM) for different return periods (RP). The floods were evaluated for the municipalities of Uruguaiana, Montenegro and São Sebastião do Caí in the Rio Grande do Sul state. It was shown that the flood mapping generated by MGB covers larger areas (greater than 1000 km2; Siqueira et al. 2018), with a lower cost of obtaining for large scales. The - Hit Rate of the regional and continental MGB model versions with the CPRM maps ranged from about 40% to 90% in different cities, and the Hit Rate between the regional model and the CPRM map increased with the increased return period floods. The continental model compatibility was similar for all analyzed RPs. Our results suggest the agreement in terms of Hit Rate of current large-scale hydrological-hydrodynamic models to assess flood hazard.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312022000100208
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312022000100208
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2318-0331.272220220009
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Recursos Hídricos
publisher.none.fl_str_mv Associação Brasileira de Recursos Hídricos
dc.source.none.fl_str_mv RBRH v.27 2022
reponame:RBRH (Online)
instname:Associação Brasileira de Recursos Hídricos (ABRH)
instacron:ABRH
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reponame_str RBRH (Online)
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