Hydrological regionalization of maximum stream flows using an approach based on L-moments

Detalhes bibliográficos
Autor(a) principal: Cassalho,Felício
Data de Publicação: 2017
Outros Autores: Beskow,Samuel, Vargas,Marcelle Martins, Moura,Maíra Martim de, Ávila,Leo Fernandes, Mello,Carlos Rogério de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: RBRH (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312017000100219
Resumo: ABSTRACT The proper design of hydraulic structures depends on estimates of maximum stream flows. The scarce stream flow monitoring in Brazil has led to the use of regionalization methods. The main objective of this study was to develop a tool via regional function to estimate maximum stream flows and their corresponding return periods (RP) with the aid of techniques based on the L-moments method, seeking for adequate hydrologic engineering applications and flood risk management. Annual maximum stream flow historical series were adjusted to traditional 2-parameter probability density functions (PDFs) (Normal, 2-parameter Log-Normal, Gumbel, Gamma) and multiparameter PDFs (GEV and Kappa), based on the L-moments method, which were used in the development of the regional function employing the dimensionless curve method. The regional function’s predictive capability was determined by cross-validation for different RPs. It can be concluded that the approach based on L-moments was successfully used to adjust the regional function. In addition, the regional function: i) was improved when using the aforementioned multiparameter PDFs and ii) was framed as optimum for RP of up to 100 years and considered useful for practical engineering projects and flood risk management.
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spelling Hydrological regionalization of maximum stream flows using an approach based on L-momentsFlood risk managementStatistical hydrologyGEVKappaMirim-São Gonçalo transboundary basinABSTRACT The proper design of hydraulic structures depends on estimates of maximum stream flows. The scarce stream flow monitoring in Brazil has led to the use of regionalization methods. The main objective of this study was to develop a tool via regional function to estimate maximum stream flows and their corresponding return periods (RP) with the aid of techniques based on the L-moments method, seeking for adequate hydrologic engineering applications and flood risk management. Annual maximum stream flow historical series were adjusted to traditional 2-parameter probability density functions (PDFs) (Normal, 2-parameter Log-Normal, Gumbel, Gamma) and multiparameter PDFs (GEV and Kappa), based on the L-moments method, which were used in the development of the regional function employing the dimensionless curve method. The regional function’s predictive capability was determined by cross-validation for different RPs. It can be concluded that the approach based on L-moments was successfully used to adjust the regional function. In addition, the regional function: i) was improved when using the aforementioned multiparameter PDFs and ii) was framed as optimum for RP of up to 100 years and considered useful for practical engineering projects and flood risk management.Associação Brasileira de Recursos Hídricos2017-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312017000100219RBRH v.22 2017reponame:RBRH (Online)instname:Associação Brasileira de Recursos Hídricos (ABRH)instacron:ABRH10.1590/2318-0331.021720160064info:eu-repo/semantics/openAccessCassalho,FelícioBeskow,SamuelVargas,Marcelle MartinsMoura,Maíra Martim deÁvila,Leo FernandesMello,Carlos Rogério deeng2017-12-08T00:00:00Zoai:scielo:S2318-03312017000100219Revistahttps://www.scielo.br/j/rbrh/https://old.scielo.br/oai/scielo-oai.php||rbrh@abrh.org.br2318-03311414-381Xopendoar:2017-12-08T00:00RBRH (Online) - Associação Brasileira de Recursos Hídricos (ABRH)false
dc.title.none.fl_str_mv Hydrological regionalization of maximum stream flows using an approach based on L-moments
title Hydrological regionalization of maximum stream flows using an approach based on L-moments
spellingShingle Hydrological regionalization of maximum stream flows using an approach based on L-moments
Cassalho,Felício
Flood risk management
Statistical hydrology
GEV
Kappa
Mirim-São Gonçalo transboundary basin
title_short Hydrological regionalization of maximum stream flows using an approach based on L-moments
title_full Hydrological regionalization of maximum stream flows using an approach based on L-moments
title_fullStr Hydrological regionalization of maximum stream flows using an approach based on L-moments
title_full_unstemmed Hydrological regionalization of maximum stream flows using an approach based on L-moments
title_sort Hydrological regionalization of maximum stream flows using an approach based on L-moments
author Cassalho,Felício
author_facet Cassalho,Felício
Beskow,Samuel
Vargas,Marcelle Martins
Moura,Maíra Martim de
Ávila,Leo Fernandes
Mello,Carlos Rogério de
author_role author
author2 Beskow,Samuel
Vargas,Marcelle Martins
Moura,Maíra Martim de
Ávila,Leo Fernandes
Mello,Carlos Rogério de
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Cassalho,Felício
Beskow,Samuel
Vargas,Marcelle Martins
Moura,Maíra Martim de
Ávila,Leo Fernandes
Mello,Carlos Rogério de
dc.subject.por.fl_str_mv Flood risk management
Statistical hydrology
GEV
Kappa
Mirim-São Gonçalo transboundary basin
topic Flood risk management
Statistical hydrology
GEV
Kappa
Mirim-São Gonçalo transboundary basin
description ABSTRACT The proper design of hydraulic structures depends on estimates of maximum stream flows. The scarce stream flow monitoring in Brazil has led to the use of regionalization methods. The main objective of this study was to develop a tool via regional function to estimate maximum stream flows and their corresponding return periods (RP) with the aid of techniques based on the L-moments method, seeking for adequate hydrologic engineering applications and flood risk management. Annual maximum stream flow historical series were adjusted to traditional 2-parameter probability density functions (PDFs) (Normal, 2-parameter Log-Normal, Gumbel, Gamma) and multiparameter PDFs (GEV and Kappa), based on the L-moments method, which were used in the development of the regional function employing the dimensionless curve method. The regional function’s predictive capability was determined by cross-validation for different RPs. It can be concluded that the approach based on L-moments was successfully used to adjust the regional function. In addition, the regional function: i) was improved when using the aforementioned multiparameter PDFs and ii) was framed as optimum for RP of up to 100 years and considered useful for practical engineering projects and flood risk management.
publishDate 2017
dc.date.none.fl_str_mv 2017-01-01
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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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312017000100219
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312017000100219
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2318-0331.021720160064
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.22 2017
reponame:RBRH (Online)
instname:Associação Brasileira de Recursos Hídricos (ABRH)
instacron:ABRH
instname_str Associação Brasileira de Recursos Hídricos (ABRH)
instacron_str ABRH
institution ABRH
reponame_str RBRH (Online)
collection RBRH (Online)
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