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

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 regionalizat...

Full description

Bibliographic Details
Main Authors: Jhones da Silva Amorim, Rubens Junqueira, Vanessa Alves Mantovani, Marcelo Ribeiro Viola, Carlos Rogério de Mello, Nicole Lopes Bento
Format: Article
Language:English
Published: Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi) 2020-06-01
Series:Revista Ambiente & Água
Subjects:
Online Access:https://www.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2020000300303&lng=en&nrm=iso&tlng=en
id doaj-aaa7bd97328545e4a4d4114716b39c73
record_format Article
spelling doaj-aaa7bd97328545e4a4d4114716b39c732020-11-25T03:20:36ZengInstituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi)Revista Ambiente & Água1980-993X2020-06-0115311110.4136/ambi-agua.2495Streamflow regionalization for the Mortes River Basin upstream from the Funil Hydropower Plant, MGJhones da Silva Amorim0https://orcid.org/0000-0001-7012-9465Rubens Junqueira1https://orcid.org/0000-0002-6104-5507Vanessa Alves Mantovani2https://orcid.org/0000-0003-3493-5261Marcelo Ribeiro Viola3https://orcid.org/0000-0002-3910-0987Carlos Rogério de Mello4https://orcid.org/0000-0002-6033-5342Nicole Lopes Bento5https://orcid.org/0000-0002-0432-7655Departamento de Recursos Hídricos e Saneamento. Laboratório de Hidráulica. Universidade Federal de Lavras (UFLA), Caixa Postal 3037, CEP: 37200-900, Lavras, MG, Brazil. Departamento de Recursos Hídricos e Saneamento. Laboratório de Hidráulica. Universidade Federal de Lavras (UFLA), Caixa Postal 3037, CEP: 37200-900, Lavras, MG, Brazil. Departamento de Recursos Hídricos e Saneamento. Laboratório de Hidráulica. Universidade Federal de Lavras (UFLA), Caixa Postal 3037, CEP: 37200-900, Lavras, MG, Brazil. Departamento de Recursos Hídricos e Saneamento. Laboratório de Hidráulica. Universidade Federal de Lavras (UFLA), Caixa Postal 3037, CEP: 37200-900, Lavras, MG, Brazil. Departamento de Engenharia. Universidade Federal de Lavras (UFLA), Caixa Postal 3037, CEP: 37200-900, Lavras, MG, Brazil. Departamento de Engenharia. Universidade Federal de Lavras (UFLA), Caixa Postal 3037, CEP: 37200-900, Lavras, MG, Brazil. 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.https://www.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2020000300303&lng=en&nrm=iso&tlng=enprobability density functionsstatistical hydrology
collection DOAJ
language English
format Article
sources DOAJ
author Jhones da Silva Amorim
Rubens Junqueira
Vanessa Alves Mantovani
Marcelo Ribeiro Viola
Carlos Rogério de Mello
Nicole Lopes Bento
spellingShingle Jhones da Silva Amorim
Rubens Junqueira
Vanessa Alves Mantovani
Marcelo Ribeiro Viola
Carlos Rogério de Mello
Nicole Lopes Bento
Streamflow regionalization for the Mortes River Basin upstream from the Funil Hydropower Plant, MG
Revista Ambiente & Água
probability density functions
statistical hydrology
author_facet Jhones da Silva Amorim
Rubens Junqueira
Vanessa Alves Mantovani
Marcelo Ribeiro Viola
Carlos Rogério de Mello
Nicole Lopes Bento
author_sort Jhones da Silva Amorim
title Streamflow regionalization for the Mortes River Basin upstream from the Funil Hydropower Plant, MG
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
publisher Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi)
series Revista Ambiente & Água
issn 1980-993X
publishDate 2020-06-01
description 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.
topic probability density functions
statistical hydrology
url https://www.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2020000300303&lng=en&nrm=iso&tlng=en
work_keys_str_mv AT jhonesdasilvaamorim streamflowregionalizationforthemortesriverbasinupstreamfromthefunilhydropowerplantmg
AT rubensjunqueira streamflowregionalizationforthemortesriverbasinupstreamfromthefunilhydropowerplantmg
AT vanessaalvesmantovani streamflowregionalizationforthemortesriverbasinupstreamfromthefunilhydropowerplantmg
AT marceloribeiroviola streamflowregionalizationforthemortesriverbasinupstreamfromthefunilhydropowerplantmg
AT carlosrogeriodemello streamflowregionalizationforthemortesriverbasinupstreamfromthefunilhydropowerplantmg
AT nicolelopesbento streamflowregionalizationforthemortesriverbasinupstreamfromthefunilhydropowerplantmg
_version_ 1724617712595894272