Intensity-duration-frequency of maximum rainfall in Mato Grosso State

Detalhes bibliográficos
Autor(a) principal: Sabino,Marlus
Data de Publicação: 2020
Outros Autores: Souza,Adilson Pacheco de, Uliana,Eduardo Morgan, Lisboa,Luana, Almeida,Frederico Terra de, Zolin,Cornélio Alberto
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Ambiente & Água
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2020000100300
Resumo: Abstract Intensive rainfall is an important meteorological variable that is of technical interest in hydraulic projects. This study therefore generated Intensity-Duration-Frequency equations (IDF) for 14 weather stations in Mato Grosso State, based on pluviograph analysis. Annual maximum rainfall data regarding 10-to-1440-minute long rainfall events were collected from digitized daily pluviographs. Data adherence to the generalized extreme value distribution (GEV) was checked through the Kolmogorov-Smirnov test at a 20% significance level. Next, the maximum probable rainfall for return periods such as 2, 5, 10, 20, 30, 50 and 100 years was calculated and the IDF equations were adjusted. The performance of the IDF equations was evaluated based on mean absolute error (MAE), root mean square error (RMSE), bias, Willmott's concordance index and Nash-Sutcliffe efficiency index (ENS). Adjusting the IDF equations was only possible for rainfall durations ranging from 10 to 360 min at each station due to the low frequency of longer rainfalls. High variation was present in parameters of the IDF equation and in maximum rainfall intensity between stations. The satisfactory performance of the models, as attested to by statistical indices, allows using IDF equations adjusted for rainfall durations from 10 to 360 min, and return periods from 2 to 100 years, in the regions of the Mato Grosso weather stations.
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spelling Intensity-duration-frequency of maximum rainfall in Mato Grosso StateIDFintense rainfallproject rainwater resource management.Abstract Intensive rainfall is an important meteorological variable that is of technical interest in hydraulic projects. This study therefore generated Intensity-Duration-Frequency equations (IDF) for 14 weather stations in Mato Grosso State, based on pluviograph analysis. Annual maximum rainfall data regarding 10-to-1440-minute long rainfall events were collected from digitized daily pluviographs. Data adherence to the generalized extreme value distribution (GEV) was checked through the Kolmogorov-Smirnov test at a 20% significance level. Next, the maximum probable rainfall for return periods such as 2, 5, 10, 20, 30, 50 and 100 years was calculated and the IDF equations were adjusted. The performance of the IDF equations was evaluated based on mean absolute error (MAE), root mean square error (RMSE), bias, Willmott's concordance index and Nash-Sutcliffe efficiency index (ENS). Adjusting the IDF equations was only possible for rainfall durations ranging from 10 to 360 min at each station due to the low frequency of longer rainfalls. High variation was present in parameters of the IDF equation and in maximum rainfall intensity between stations. The satisfactory performance of the models, as attested to by statistical indices, allows using IDF equations adjusted for rainfall durations from 10 to 360 min, and return periods from 2 to 100 years, in the regions of the Mato Grosso weather stations.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=S1980-993X2020000100300Revista Ambiente & Água v.15 n.1 2020reponame:Revista Ambiente & Águainstname:Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)instacron:IPABHI10.4136/ambi-agua.2373info:eu-repo/semantics/openAccessSabino,MarlusSouza,Adilson Pacheco deUliana,Eduardo MorganLisboa,LuanaAlmeida,Frederico Terra deZolin,Cornélio Albertoeng2020-02-07T00:00:00Zoai:scielo:S1980-993X2020000100300Revistahttp://www.ambi-agua.net/PUBhttps://old.scielo.br/oai/scielo-oai.php||ambi.agua@gmail.com1980-993X1980-993Xopendoar:2020-02-07T00:00Revista Ambiente & Água - Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)false
dc.title.none.fl_str_mv Intensity-duration-frequency of maximum rainfall in Mato Grosso State
title Intensity-duration-frequency of maximum rainfall in Mato Grosso State
spellingShingle Intensity-duration-frequency of maximum rainfall in Mato Grosso State
Sabino,Marlus
IDF
intense rainfall
project rain
water resource management.
title_short Intensity-duration-frequency of maximum rainfall in Mato Grosso State
title_full Intensity-duration-frequency of maximum rainfall in Mato Grosso State
title_fullStr Intensity-duration-frequency of maximum rainfall in Mato Grosso State
title_full_unstemmed Intensity-duration-frequency of maximum rainfall in Mato Grosso State
title_sort Intensity-duration-frequency of maximum rainfall in Mato Grosso State
author Sabino,Marlus
author_facet Sabino,Marlus
Souza,Adilson Pacheco de
Uliana,Eduardo Morgan
Lisboa,Luana
Almeida,Frederico Terra de
Zolin,Cornélio Alberto
author_role author
author2 Souza,Adilson Pacheco de
Uliana,Eduardo Morgan
Lisboa,Luana
Almeida,Frederico Terra de
Zolin,Cornélio Alberto
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Sabino,Marlus
Souza,Adilson Pacheco de
Uliana,Eduardo Morgan
Lisboa,Luana
Almeida,Frederico Terra de
Zolin,Cornélio Alberto
dc.subject.por.fl_str_mv IDF
intense rainfall
project rain
water resource management.
topic IDF
intense rainfall
project rain
water resource management.
description Abstract Intensive rainfall is an important meteorological variable that is of technical interest in hydraulic projects. This study therefore generated Intensity-Duration-Frequency equations (IDF) for 14 weather stations in Mato Grosso State, based on pluviograph analysis. Annual maximum rainfall data regarding 10-to-1440-minute long rainfall events were collected from digitized daily pluviographs. Data adherence to the generalized extreme value distribution (GEV) was checked through the Kolmogorov-Smirnov test at a 20% significance level. Next, the maximum probable rainfall for return periods such as 2, 5, 10, 20, 30, 50 and 100 years was calculated and the IDF equations were adjusted. The performance of the IDF equations was evaluated based on mean absolute error (MAE), root mean square error (RMSE), bias, Willmott's concordance index and Nash-Sutcliffe efficiency index (ENS). Adjusting the IDF equations was only possible for rainfall durations ranging from 10 to 360 min at each station due to the low frequency of longer rainfalls. High variation was present in parameters of the IDF equation and in maximum rainfall intensity between stations. The satisfactory performance of the models, as attested to by statistical indices, allows using IDF equations adjusted for rainfall durations from 10 to 360 min, and return periods from 2 to 100 years, in the regions of the Mato Grosso weather stations.
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=S1980-993X2020000100300
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2020000100300
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.4136/ambi-agua.2373
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.1 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
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