Maximum discharge and probable rainfall at Aiuruoca basin, Minas Gerais State

Detalhes bibliográficos
Autor(a) principal: Pinto,Leandro Campos
Data de Publicação: 2014
Outros Autores: Lima,Pedro Luiz Terra, Souza,Zélio Resende de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Ambiente & Água
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2014000200003
Resumo: Research on rainfall and annual daily maximum discharge rates is essential to support decisions during the design of hydraulic structures. This study tested the adequacy of probability functions to predict the probable rainfall and discharge rates of the Aiuruoca River Basin in Minas Gerais State in Brazil. This basin is very important as starting point of the Rio Grande Basin that eventually discharges into the Parana River in the southern region of Brazil at the border with Argentina. It was found that the log-normal two parameters probability function provided the best fit to historical monthly rainfall series. For example, in the month of January, there is a 75% probability that 201 mm of rainfall will occur. This is the month with the highest volume of rainfall in the region. On another hand, for flow rate, the best fit was provided by the log-normal distribution with three parameters.
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spelling Maximum discharge and probable rainfall at Aiuruoca basin, Minas Gerais Stateprobability distributionLog-NormalGamma distributionwater resources planningResearch on rainfall and annual daily maximum discharge rates is essential to support decisions during the design of hydraulic structures. This study tested the adequacy of probability functions to predict the probable rainfall and discharge rates of the Aiuruoca River Basin in Minas Gerais State in Brazil. This basin is very important as starting point of the Rio Grande Basin that eventually discharges into the Parana River in the southern region of Brazil at the border with Argentina. It was found that the log-normal two parameters probability function provided the best fit to historical monthly rainfall series. For example, in the month of January, there is a 75% probability that 201 mm of rainfall will occur. This is the month with the highest volume of rainfall in the region. On another hand, for flow rate, the best fit was provided by the log-normal distribution with three parameters.Instituto de Pesquisas Ambientais em Bacias Hidrográficas2014-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2014000200003Revista Ambiente & Água v.9 n.2 2014reponame:Revista Ambiente & Águainstname:Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)instacron:IPABHI10.4136/ambi-agua.1312info:eu-repo/semantics/openAccessPinto,Leandro CamposLima,Pedro Luiz TerraSouza,Zélio Resende deeng2014-06-30T00:00:00Zoai:scielo:S1980-993X2014000200003Revistahttp://www.ambi-agua.net/PUBhttps://old.scielo.br/oai/scielo-oai.php||ambi.agua@gmail.com1980-993X1980-993Xopendoar:2014-06-30T00:00Revista Ambiente & Água - Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)false
dc.title.none.fl_str_mv Maximum discharge and probable rainfall at Aiuruoca basin, Minas Gerais State
title Maximum discharge and probable rainfall at Aiuruoca basin, Minas Gerais State
spellingShingle Maximum discharge and probable rainfall at Aiuruoca basin, Minas Gerais State
Pinto,Leandro Campos
probability distribution
Log-Normal
Gamma distribution
water resources planning
title_short Maximum discharge and probable rainfall at Aiuruoca basin, Minas Gerais State
title_full Maximum discharge and probable rainfall at Aiuruoca basin, Minas Gerais State
title_fullStr Maximum discharge and probable rainfall at Aiuruoca basin, Minas Gerais State
title_full_unstemmed Maximum discharge and probable rainfall at Aiuruoca basin, Minas Gerais State
title_sort Maximum discharge and probable rainfall at Aiuruoca basin, Minas Gerais State
author Pinto,Leandro Campos
author_facet Pinto,Leandro Campos
Lima,Pedro Luiz Terra
Souza,Zélio Resende de
author_role author
author2 Lima,Pedro Luiz Terra
Souza,Zélio Resende de
author2_role author
author
dc.contributor.author.fl_str_mv Pinto,Leandro Campos
Lima,Pedro Luiz Terra
Souza,Zélio Resende de
dc.subject.por.fl_str_mv probability distribution
Log-Normal
Gamma distribution
water resources planning
topic probability distribution
Log-Normal
Gamma distribution
water resources planning
description Research on rainfall and annual daily maximum discharge rates is essential to support decisions during the design of hydraulic structures. This study tested the adequacy of probability functions to predict the probable rainfall and discharge rates of the Aiuruoca River Basin in Minas Gerais State in Brazil. This basin is very important as starting point of the Rio Grande Basin that eventually discharges into the Parana River in the southern region of Brazil at the border with Argentina. It was found that the log-normal two parameters probability function provided the best fit to historical monthly rainfall series. For example, in the month of January, there is a 75% probability that 201 mm of rainfall will occur. This is the month with the highest volume of rainfall in the region. On another hand, for flow rate, the best fit was provided by the log-normal distribution with three parameters.
publishDate 2014
dc.date.none.fl_str_mv 2014-06-01
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=S1980-993X2014000200003
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2014000200003
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.4136/ambi-agua.1312
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.9 n.2 2014
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
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