Assessment of stage–discharge predictors for compound open-channels

Detalhes bibliográficos
Autor(a) principal: Fernandes, J. N.
Data de Publicação: 2015
Outros Autores: Leal, J. B., Cardoso, A. H.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://dspace2.lnec.pt:8080/jspui/handle/123456789/1009454
http://repositorio.lnec.pt:8080/jspui/handle/123456789/1009454
Resumo: The accurate prediction of flood levels and velocities is a prerequisite to any appropriate management of river valleys, where the mitigation of environmental, economic or human losses caused by flood events is of paramount importance. During these events, rivers frequently acquire a compound channel configuration. Due to the 3D nature of compound channel flows, the stage–discharge curves are not as easily predicted as in single channels. Despite the availability of 2D and 3D flow models that may solve this question, 1D methods are often preferred due to the reduced data required and to the much shorter processing time. In the last five decades, important research efforts have been devoted to the improvement of 1D predictors of stage–discharge curves in compound channels. In this study, the accuracy of seven of those methods is assessed by comparing their predictions with a large experimental dataset, comprising symmetrical and asymmetrical compound channels with vertical and inclined main channel sidewalls, and smooth and rough floodplains. To the authors’ best knowledge, this is the most comprehensive assessment of stage–discharge predictors for straight compound channels since it involves the highest number of predictors applied to the widest data set. It was concluded that the methods that account for the momentum transfer between the main channel and the floodplains display considerably better results than the traditional methods. For relative depth (ratio between floodplain and main channel flow depths) higher than 0.25, predicted discharges for the methods that account for the turbulent momentum exchange are within 5% of observed values. Depending on whether the flow depth or the flow discharge is the pertinent variable, two different methods seem to be the most appropriate to produce precise and safe predictions.
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spelling Assessment of stage–discharge predictors for compound open-channelsCompound channelsFloodplainMain channelMomentum transferFlow discharge predictionThe accurate prediction of flood levels and velocities is a prerequisite to any appropriate management of river valleys, where the mitigation of environmental, economic or human losses caused by flood events is of paramount importance. During these events, rivers frequently acquire a compound channel configuration. Due to the 3D nature of compound channel flows, the stage–discharge curves are not as easily predicted as in single channels. Despite the availability of 2D and 3D flow models that may solve this question, 1D methods are often preferred due to the reduced data required and to the much shorter processing time. In the last five decades, important research efforts have been devoted to the improvement of 1D predictors of stage–discharge curves in compound channels. In this study, the accuracy of seven of those methods is assessed by comparing their predictions with a large experimental dataset, comprising symmetrical and asymmetrical compound channels with vertical and inclined main channel sidewalls, and smooth and rough floodplains. To the authors’ best knowledge, this is the most comprehensive assessment of stage–discharge predictors for straight compound channels since it involves the highest number of predictors applied to the widest data set. It was concluded that the methods that account for the momentum transfer between the main channel and the floodplains display considerably better results than the traditional methods. For relative depth (ratio between floodplain and main channel flow depths) higher than 0.25, predicted discharges for the methods that account for the turbulent momentum exchange are within 5% of observed values. Depending on whether the flow depth or the flow discharge is the pertinent variable, two different methods seem to be the most appropriate to produce precise and safe predictions.Springer2017-04-27T15:58:05Z2017-08-09T09:57:11Z2015-10-01T00:00:00Z2015-10info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dspace2.lnec.pt:8080/jspui/handle/123456789/1009454http://repositorio.lnec.pt:8080/jspui/handle/123456789/1009454engFernandes, J. N.Leal, J. B.Cardoso, A. H.info: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:RCAAP2024-01-13T03:07:10Zoai:localhost:123456789/1009454Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:40:15.867869Repositório 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 Assessment of stage–discharge predictors for compound open-channels
title Assessment of stage–discharge predictors for compound open-channels
spellingShingle Assessment of stage–discharge predictors for compound open-channels
Fernandes, J. N.
Compound channels
Floodplain
Main channel
Momentum transfer
Flow discharge prediction
title_short Assessment of stage–discharge predictors for compound open-channels
title_full Assessment of stage–discharge predictors for compound open-channels
title_fullStr Assessment of stage–discharge predictors for compound open-channels
title_full_unstemmed Assessment of stage–discharge predictors for compound open-channels
title_sort Assessment of stage–discharge predictors for compound open-channels
author Fernandes, J. N.
author_facet Fernandes, J. N.
Leal, J. B.
Cardoso, A. H.
author_role author
author2 Leal, J. B.
Cardoso, A. H.
author2_role author
author
dc.contributor.author.fl_str_mv Fernandes, J. N.
Leal, J. B.
Cardoso, A. H.
dc.subject.por.fl_str_mv Compound channels
Floodplain
Main channel
Momentum transfer
Flow discharge prediction
topic Compound channels
Floodplain
Main channel
Momentum transfer
Flow discharge prediction
description The accurate prediction of flood levels and velocities is a prerequisite to any appropriate management of river valleys, where the mitigation of environmental, economic or human losses caused by flood events is of paramount importance. During these events, rivers frequently acquire a compound channel configuration. Due to the 3D nature of compound channel flows, the stage–discharge curves are not as easily predicted as in single channels. Despite the availability of 2D and 3D flow models that may solve this question, 1D methods are often preferred due to the reduced data required and to the much shorter processing time. In the last five decades, important research efforts have been devoted to the improvement of 1D predictors of stage–discharge curves in compound channels. In this study, the accuracy of seven of those methods is assessed by comparing their predictions with a large experimental dataset, comprising symmetrical and asymmetrical compound channels with vertical and inclined main channel sidewalls, and smooth and rough floodplains. To the authors’ best knowledge, this is the most comprehensive assessment of stage–discharge predictors for straight compound channels since it involves the highest number of predictors applied to the widest data set. It was concluded that the methods that account for the momentum transfer between the main channel and the floodplains display considerably better results than the traditional methods. For relative depth (ratio between floodplain and main channel flow depths) higher than 0.25, predicted discharges for the methods that account for the turbulent momentum exchange are within 5% of observed values. Depending on whether the flow depth or the flow discharge is the pertinent variable, two different methods seem to be the most appropriate to produce precise and safe predictions.
publishDate 2015
dc.date.none.fl_str_mv 2015-10-01T00:00:00Z
2015-10
2017-04-27T15:58:05Z
2017-08-09T09:57:11Z
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://dspace2.lnec.pt:8080/jspui/handle/123456789/1009454
http://repositorio.lnec.pt:8080/jspui/handle/123456789/1009454
url http://dspace2.lnec.pt:8080/jspui/handle/123456789/1009454
http://repositorio.lnec.pt:8080/jspui/handle/123456789/1009454
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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