Streamflow regionalization for the Mortes River Basin upstream from the Funil Hydropower Plant, MG

Detalhes bibliográficos
Autor(a) principal: Amorim,Jhones da Silva
Data de Publicação: 2020
Outros Autores: Junqueira,Rubens, Mantovani,Vanessa Alves, Viola,Marcelo Ribeiro, Mello,Carlos Rogério de, Bento,Nicole Lopes
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Ambiente & Água
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2020000300303
Resumo: Abstract Maximum and minimum streamflow are fundamental for water resource management, especially for water rights. However, lack of monitoring and scarce streamflow data limit such studies. Streamflow regionalization is a useful tool to overcome these limitations. The study developed models for regionalization of the maximum and minimum reference streamflows for the Mortes River Basin (MRB) (Water Resources Planning and Management Unit - GD2), Southern Minas Gerais State. The study used long-term streamflow historical series provided by the Brazilian National Water Agency (ANA). Previous exploratory analysis was performed, and it was observed that the streamflow series are stationary according to the Mann-Kendall test. The estimation of the streamflow for different return periods (RP) was performed by fitting Probability Density Functions (PDFs) that were tested by the Anderson-Darling (AD) test. The Generalized Extreme Values (GEV) and Wakeby were the most appropriate PDFs for maximum and minimum streamflows, respectively. The streamflow models were fitted using a power regression procedure, considering the drainage area of the watersheds as inputs. The fittings reached the coefficient of determination (R2) greater than 0.90. Thus, the streamflow regionalization models demonstrated good performance and are a potential tool to be used for water resource management in the studied basin.
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spelling Streamflow regionalization for the Mortes River Basin upstream from the Funil Hydropower Plant, MGprobability density functionsstatistical hydrologywater resource managementAbstract Maximum and minimum streamflow are fundamental for water resource management, especially for water rights. However, lack of monitoring and scarce streamflow data limit such studies. Streamflow regionalization is a useful tool to overcome these limitations. The study developed models for regionalization of the maximum and minimum reference streamflows for the Mortes River Basin (MRB) (Water Resources Planning and Management Unit - GD2), Southern Minas Gerais State. The study used long-term streamflow historical series provided by the Brazilian National Water Agency (ANA). Previous exploratory analysis was performed, and it was observed that the streamflow series are stationary according to the Mann-Kendall test. The estimation of the streamflow for different return periods (RP) was performed by fitting Probability Density Functions (PDFs) that were tested by the Anderson-Darling (AD) test. The Generalized Extreme Values (GEV) and Wakeby were the most appropriate PDFs for maximum and minimum streamflows, respectively. The streamflow models were fitted using a power regression procedure, considering the drainage area of the watersheds as inputs. The fittings reached the coefficient of determination (R2) greater than 0.90. Thus, the streamflow regionalization models demonstrated good performance and are a potential tool to be used for water resource management in the studied basin.Instituto de Pesquisas Ambientais em Bacias Hidrográficas2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2020000300303Revista Ambiente & Água v.15 n.3 2020reponame:Revista Ambiente & Águainstname:Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)instacron:IPABHI10.4136/ambi-agua.2495info:eu-repo/semantics/openAccessAmorim,Jhones da SilvaJunqueira,RubensMantovani,Vanessa AlvesViola,Marcelo RibeiroMello,Carlos Rogério deBento,Nicole Lopeseng2020-06-05T00:00:00Zoai:scielo:S1980-993X2020000300303Revistahttp://www.ambi-agua.net/PUBhttps://old.scielo.br/oai/scielo-oai.php||ambi.agua@gmail.com1980-993X1980-993Xopendoar:2020-06-05T00:00Revista Ambiente & Água - Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)false
dc.title.none.fl_str_mv Streamflow regionalization for the Mortes River Basin upstream from the Funil Hydropower Plant, MG
title Streamflow regionalization for the Mortes River Basin upstream from the Funil Hydropower Plant, MG
spellingShingle Streamflow regionalization for the Mortes River Basin upstream from the Funil Hydropower Plant, MG
Amorim,Jhones da Silva
probability density functions
statistical hydrology
water resource management
title_short Streamflow regionalization for the Mortes River Basin upstream from the Funil Hydropower Plant, MG
title_full Streamflow regionalization for the Mortes River Basin upstream from the Funil Hydropower Plant, MG
title_fullStr Streamflow regionalization for the Mortes River Basin upstream from the Funil Hydropower Plant, MG
title_full_unstemmed Streamflow regionalization for the Mortes River Basin upstream from the Funil Hydropower Plant, MG
title_sort Streamflow regionalization for the Mortes River Basin upstream from the Funil Hydropower Plant, MG
author Amorim,Jhones da Silva
author_facet Amorim,Jhones da Silva
Junqueira,Rubens
Mantovani,Vanessa Alves
Viola,Marcelo Ribeiro
Mello,Carlos Rogério de
Bento,Nicole Lopes
author_role author
author2 Junqueira,Rubens
Mantovani,Vanessa Alves
Viola,Marcelo Ribeiro
Mello,Carlos Rogério de
Bento,Nicole Lopes
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Amorim,Jhones da Silva
Junqueira,Rubens
Mantovani,Vanessa Alves
Viola,Marcelo Ribeiro
Mello,Carlos Rogério de
Bento,Nicole Lopes
dc.subject.por.fl_str_mv probability density functions
statistical hydrology
water resource management
topic probability density functions
statistical hydrology
water resource management
description Abstract Maximum and minimum streamflow are fundamental for water resource management, especially for water rights. However, lack of monitoring and scarce streamflow data limit such studies. Streamflow regionalization is a useful tool to overcome these limitations. The study developed models for regionalization of the maximum and minimum reference streamflows for the Mortes River Basin (MRB) (Water Resources Planning and Management Unit - GD2), Southern Minas Gerais State. The study used long-term streamflow historical series provided by the Brazilian National Water Agency (ANA). Previous exploratory analysis was performed, and it was observed that the streamflow series are stationary according to the Mann-Kendall test. The estimation of the streamflow for different return periods (RP) was performed by fitting Probability Density Functions (PDFs) that were tested by the Anderson-Darling (AD) test. The Generalized Extreme Values (GEV) and Wakeby were the most appropriate PDFs for maximum and minimum streamflows, respectively. The streamflow models were fitted using a power regression procedure, considering the drainage area of the watersheds as inputs. The fittings reached the coefficient of determination (R2) greater than 0.90. Thus, the streamflow regionalization models demonstrated good performance and are a potential tool to be used for water resource management in the studied basin.
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
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2020000300303
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.4136/ambi-agua.2495
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Instituto de Pesquisas Ambientais em Bacias Hidrográficas
publisher.none.fl_str_mv Instituto de Pesquisas Ambientais em Bacias Hidrográficas
dc.source.none.fl_str_mv Revista Ambiente & Água v.15 n.3 2020
reponame:Revista Ambiente & Água
instname:Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)
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instname_str Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)
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reponame_str Revista Ambiente & Água
collection Revista Ambiente & Água
repository.name.fl_str_mv Revista Ambiente & Água - Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)
repository.mail.fl_str_mv ||ambi.agua@gmail.com
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