Regionalization of reference streamflows for the Araguaia River basin in Brazil

Detalhes bibliográficos
Autor(a) principal: Morais, Marco Antonio Vieira
Data de Publicação: 2020
Outros Autores: Viola, Marcelo Ribeiro, Mello, Carlos Rogério de, Rodrigues, Jéssica Assaid Martins, Oliveira, Vinícius Augusto de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Semina. Ciências Agrárias (Online)
Texto Completo: https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/36430
Resumo: Hydraulic projects and water management require reliable hydrological data. The Araguaia-Tocantins River basin, in addition to agricultural use, has great potential for hydroelectric exploitation. However, the streamflow monitoring network in the Araguaia River basin is composed of only a few stations, resulting in a lack of hydrological data. The regionalization of the reference streamflows is a technique that can help circumvent this lack of data, enabling the estimation of streamflows from easily obtainable explanatory variables. In this context, the objective of this study was to develop regional functions for the maximum streamflow (Qmax) applicable to different Return Periods (RP), the long-term mean streamflow (Qmlt) and the 95% streamflow permanence (Q95) of the upper and middle Araguaia River sub-basins. The dimensionless streamflow methodology was adopted with the drainage area as an explanatory variable. The tested regressive models were the linear, potential and quotient models. Leave-one-out cross-validation was used to assess the quality of the regional models. Ten statistical distributions of 2 to 5 parameters were used. (i) Satisfactory results were obtained for all reference streamflows. (ii) The cross-validation technique proved to be essential for the selection of the most robust model. (iii) The quotient model was shown to be superior to the potential linear model in most cases.
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spelling Regionalization of reference streamflows for the Araguaia River basin in BrazilRegionalização de vazões de referência para bacias do rio Araguaia, BrasilCerradoStatistical HydrologyHydrological Modelling.CerradoHidrologia EstatísticaModelagem Hidrológica.Hydraulic projects and water management require reliable hydrological data. The Araguaia-Tocantins River basin, in addition to agricultural use, has great potential for hydroelectric exploitation. However, the streamflow monitoring network in the Araguaia River basin is composed of only a few stations, resulting in a lack of hydrological data. The regionalization of the reference streamflows is a technique that can help circumvent this lack of data, enabling the estimation of streamflows from easily obtainable explanatory variables. In this context, the objective of this study was to develop regional functions for the maximum streamflow (Qmax) applicable to different Return Periods (RP), the long-term mean streamflow (Qmlt) and the 95% streamflow permanence (Q95) of the upper and middle Araguaia River sub-basins. The dimensionless streamflow methodology was adopted with the drainage area as an explanatory variable. The tested regressive models were the linear, potential and quotient models. Leave-one-out cross-validation was used to assess the quality of the regional models. Ten statistical distributions of 2 to 5 parameters were used. (i) Satisfactory results were obtained for all reference streamflows. (ii) The cross-validation technique proved to be essential for the selection of the most robust model. (iii) The quotient model was shown to be superior to the potential linear model in most cases.Projetos hidráulicos e a gestão da água demandam dados hidrológicos confiáveis. A bacia hidrográfica do rio Araguaia-Tocantins, além do uso agrícola, apresenta grande potencial para exploração hidroelétrica. No entanto, a rede de monitoramento fluviométrico na bacia hidrográfica do rio Araguaia apresenta densidade reduzida de estações, o que implica na falta de dados hidrológicos. A regionalização de vazões de referência é uma técnica que pode ajudar a contornar essa insuficiência de dados, propiciando a estimativa de vazões a partir de variáveis explicativas de fácil obtenção. Neste contexto, objetivou-se desenvolver funções regionais para vazão máxima (Qmax) aplicáveis a diferentes Períodos de Retorno (RP), vazão média em longo prazo (Qmlt) e vazão com 95% de permanência (Q95) para as sub-bacias de alto e médio curso do rio Araguaia. Adotou-se a metodologia da vazão adimensional e a área de drenagem como variável explicativa. Os modelos regressivos testados foram o linear, potencial e quociente. Empregou-se para verificação da qualidade dos modelos regionais a validação-cruzada leave-one-out. Utilizou-se 10 distribuições estatística de 2 a 5 parâmetros. (i) Obtiveram-se resultados satisfatórios para todas as vazões de referência. (ii) A técnica de validação cruzada mostrou-se essencial para a seleção do modelo mais robusto. (iii) O modelo de quociente mostrou-se superior ao modelo potencial e linear na maioria dos casos.UEL2020-04-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPesquisa Empírica de Campoapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/3643010.5433/1679-0359.2020v41n3p829Semina: Ciências Agrárias; Vol. 41 No. 3 (2020); 829-846Semina: Ciências Agrárias; v. 41 n. 3 (2020); 829-8461679-03591676-546Xreponame:Semina. Ciências Agrárias (Online)instname:Universidade Estadual de Londrina (UEL)instacron:UELenghttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/36430/27074Copyright (c) 2020 Semina: Ciências Agráriashttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessMorais, Marco Antonio VieiraViola, Marcelo RibeiroMello, Carlos Rogério deRodrigues, Jéssica Assaid MartinsOliveira, Vinícius Augusto de2022-10-10T12:02:51Zoai:ojs.pkp.sfu.ca:article/36430Revistahttp://www.uel.br/revistas/uel/index.php/semagrariasPUBhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/oaisemina.agrarias@uel.br1679-03591676-546Xopendoar:2022-10-10T12:02:51Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)false
dc.title.none.fl_str_mv Regionalization of reference streamflows for the Araguaia River basin in Brazil
Regionalização de vazões de referência para bacias do rio Araguaia, Brasil
title Regionalization of reference streamflows for the Araguaia River basin in Brazil
spellingShingle Regionalization of reference streamflows for the Araguaia River basin in Brazil
Morais, Marco Antonio Vieira
Cerrado
Statistical Hydrology
Hydrological Modelling.
Cerrado
Hidrologia Estatística
Modelagem Hidrológica.
title_short Regionalization of reference streamflows for the Araguaia River basin in Brazil
title_full Regionalization of reference streamflows for the Araguaia River basin in Brazil
title_fullStr Regionalization of reference streamflows for the Araguaia River basin in Brazil
title_full_unstemmed Regionalization of reference streamflows for the Araguaia River basin in Brazil
title_sort Regionalization of reference streamflows for the Araguaia River basin in Brazil
author Morais, Marco Antonio Vieira
author_facet Morais, Marco Antonio Vieira
Viola, Marcelo Ribeiro
Mello, Carlos Rogério de
Rodrigues, Jéssica Assaid Martins
Oliveira, Vinícius Augusto de
author_role author
author2 Viola, Marcelo Ribeiro
Mello, Carlos Rogério de
Rodrigues, Jéssica Assaid Martins
Oliveira, Vinícius Augusto de
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Morais, Marco Antonio Vieira
Viola, Marcelo Ribeiro
Mello, Carlos Rogério de
Rodrigues, Jéssica Assaid Martins
Oliveira, Vinícius Augusto de
dc.subject.por.fl_str_mv Cerrado
Statistical Hydrology
Hydrological Modelling.
Cerrado
Hidrologia Estatística
Modelagem Hidrológica.
topic Cerrado
Statistical Hydrology
Hydrological Modelling.
Cerrado
Hidrologia Estatística
Modelagem Hidrológica.
description Hydraulic projects and water management require reliable hydrological data. The Araguaia-Tocantins River basin, in addition to agricultural use, has great potential for hydroelectric exploitation. However, the streamflow monitoring network in the Araguaia River basin is composed of only a few stations, resulting in a lack of hydrological data. The regionalization of the reference streamflows is a technique that can help circumvent this lack of data, enabling the estimation of streamflows from easily obtainable explanatory variables. In this context, the objective of this study was to develop regional functions for the maximum streamflow (Qmax) applicable to different Return Periods (RP), the long-term mean streamflow (Qmlt) and the 95% streamflow permanence (Q95) of the upper and middle Araguaia River sub-basins. The dimensionless streamflow methodology was adopted with the drainage area as an explanatory variable. The tested regressive models were the linear, potential and quotient models. Leave-one-out cross-validation was used to assess the quality of the regional models. Ten statistical distributions of 2 to 5 parameters were used. (i) Satisfactory results were obtained for all reference streamflows. (ii) The cross-validation technique proved to be essential for the selection of the most robust model. (iii) The quotient model was shown to be superior to the potential linear model in most cases.
publishDate 2020
dc.date.none.fl_str_mv 2020-04-07
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Pesquisa Empírica de Campo
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/36430
10.5433/1679-0359.2020v41n3p829
url https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/36430
identifier_str_mv 10.5433/1679-0359.2020v41n3p829
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/36430/27074
dc.rights.driver.fl_str_mv Copyright (c) 2020 Semina: Ciências Agrárias
http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Semina: Ciências Agrárias
http://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv UEL
publisher.none.fl_str_mv UEL
dc.source.none.fl_str_mv Semina: Ciências Agrárias; Vol. 41 No. 3 (2020); 829-846
Semina: Ciências Agrárias; v. 41 n. 3 (2020); 829-846
1679-0359
1676-546X
reponame:Semina. Ciências Agrárias (Online)
instname:Universidade Estadual de Londrina (UEL)
instacron:UEL
instname_str Universidade Estadual de Londrina (UEL)
instacron_str UEL
institution UEL
reponame_str Semina. Ciências Agrárias (Online)
collection Semina. Ciências Agrárias (Online)
repository.name.fl_str_mv Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)
repository.mail.fl_str_mv semina.agrarias@uel.br
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