Streamflow regionalization for the Mortes River Basin upstream from the Funil Hydropower Plant, MG
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
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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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 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2020000300303 |
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 |
dc.format.none.fl_str_mv |
text/html |
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) instacron:IPABHI |
instname_str |
Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI) |
instacron_str |
IPABHI |
institution |
IPABHI |
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 |
_version_ |
1752129751222321152 |