Use of large-scale hydrological models to predict dam break-related impacts

Detalhes bibliográficos
Autor(a) principal: Tschiedel,Arthur da Fontoura
Data de Publicação: 2020
Outros Autores: Paiva,Rodrigo Cauduro Dias de, Fan,Fernando Mainardi
Tipo de documento: Artigo
Idioma: eng
Título da fonte: RBRH (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312020000100232
Resumo: ABSTRACT In this research study, the MGB-IPH (acronym for Large Scale Model in Portuguese - Modelo de Grandes Bacias) was used to simulate the propagation of a dam breach hydrograph estimated from predictor equations for the Três Marias Hydropower Dam, considered one of the largest in South America. The results of the peak flow, peak time and flood spot were compared with results of the Hec-Ras 5.06 model, typically used for local-scale dam break studies. As for the extent of the flood, a hit rate of 84% and a median error of 2.1 meters deep, along 4,055 km2 of the flooded area downstream was obtained. Maximum errors of 13% were observed in the prediction of the peak flow and of 20% for the peak time in distant locations up to 526 km downstream from the dam, thus establishing itself within the limits of the typical uncertainties associated with dam break studies. Thus, the potential of using this type of approach in previous studies of large dam failures is explored, configuring this method as an alternative to the use of robust or simplified models for determining downstream areas potentially affected by these disasters.
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spelling Use of large-scale hydrological models to predict dam break-related impactsLarge scale hydrological modelsDam break simulationInundation boundaryABSTRACT In this research study, the MGB-IPH (acronym for Large Scale Model in Portuguese - Modelo de Grandes Bacias) was used to simulate the propagation of a dam breach hydrograph estimated from predictor equations for the Três Marias Hydropower Dam, considered one of the largest in South America. The results of the peak flow, peak time and flood spot were compared with results of the Hec-Ras 5.06 model, typically used for local-scale dam break studies. As for the extent of the flood, a hit rate of 84% and a median error of 2.1 meters deep, along 4,055 km2 of the flooded area downstream was obtained. Maximum errors of 13% were observed in the prediction of the peak flow and of 20% for the peak time in distant locations up to 526 km downstream from the dam, thus establishing itself within the limits of the typical uncertainties associated with dam break studies. Thus, the potential of using this type of approach in previous studies of large dam failures is explored, configuring this method as an alternative to the use of robust or simplified models for determining downstream areas potentially affected by these disasters.Associação Brasileira de Recursos Hídricos2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312020000100232RBRH v.25 2020reponame:RBRH (Online)instname:Associação Brasileira de Recursos Hídricos (ABRH)instacron:ABRH10.1590/2318-0331.252020190128info:eu-repo/semantics/openAccessTschiedel,Arthur da FontouraPaiva,Rodrigo Cauduro Dias deFan,Fernando Mainardieng2020-08-04T00:00:00Zoai:scielo:S2318-03312020000100232Revistahttps://www.scielo.br/j/rbrh/https://old.scielo.br/oai/scielo-oai.php||rbrh@abrh.org.br2318-03311414-381Xopendoar:2020-08-04T00:00RBRH (Online) - Associação Brasileira de Recursos Hídricos (ABRH)false
dc.title.none.fl_str_mv Use of large-scale hydrological models to predict dam break-related impacts
title Use of large-scale hydrological models to predict dam break-related impacts
spellingShingle Use of large-scale hydrological models to predict dam break-related impacts
Tschiedel,Arthur da Fontoura
Large scale hydrological models
Dam break simulation
Inundation boundary
title_short Use of large-scale hydrological models to predict dam break-related impacts
title_full Use of large-scale hydrological models to predict dam break-related impacts
title_fullStr Use of large-scale hydrological models to predict dam break-related impacts
title_full_unstemmed Use of large-scale hydrological models to predict dam break-related impacts
title_sort Use of large-scale hydrological models to predict dam break-related impacts
author Tschiedel,Arthur da Fontoura
author_facet Tschiedel,Arthur da Fontoura
Paiva,Rodrigo Cauduro Dias de
Fan,Fernando Mainardi
author_role author
author2 Paiva,Rodrigo Cauduro Dias de
Fan,Fernando Mainardi
author2_role author
author
dc.contributor.author.fl_str_mv Tschiedel,Arthur da Fontoura
Paiva,Rodrigo Cauduro Dias de
Fan,Fernando Mainardi
dc.subject.por.fl_str_mv Large scale hydrological models
Dam break simulation
Inundation boundary
topic Large scale hydrological models
Dam break simulation
Inundation boundary
description ABSTRACT In this research study, the MGB-IPH (acronym for Large Scale Model in Portuguese - Modelo de Grandes Bacias) was used to simulate the propagation of a dam breach hydrograph estimated from predictor equations for the Três Marias Hydropower Dam, considered one of the largest in South America. The results of the peak flow, peak time and flood spot were compared with results of the Hec-Ras 5.06 model, typically used for local-scale dam break studies. As for the extent of the flood, a hit rate of 84% and a median error of 2.1 meters deep, along 4,055 km2 of the flooded area downstream was obtained. Maximum errors of 13% were observed in the prediction of the peak flow and of 20% for the peak time in distant locations up to 526 km downstream from the dam, thus establishing itself within the limits of the typical uncertainties associated with dam break studies. Thus, the potential of using this type of approach in previous studies of large dam failures is explored, configuring this method as an alternative to the use of robust or simplified models for determining downstream areas potentially affected by these disasters.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
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=S2318-03312020000100232
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2318-0331.252020190128
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.25 2020
reponame:RBRH (Online)
instname:Associação Brasileira de Recursos Hídricos (ABRH)
instacron:ABRH
instname_str Associação Brasileira de Recursos Hídricos (ABRH)
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reponame_str RBRH (Online)
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