Distribution of frequency and intense rainfall - doi: 10.4025/actasciagron.v33i3.6021

Detalhes bibliográficos
Autor(a) principal: Quadros, Luciana Espíndula de
Data de Publicação: 2011
Outros Autores: Queiroz, Manuel Moisés Ferreira de, Boas, Marcio Antonio Vilas
Tipo de documento: Artigo
Idioma: por
Título da fonte: Acta Scientiarum. Agronomy (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/6021
Resumo: The generalized extreme value distribution (GEV) has had great acceptance for discretion of the maximum natural events. Previous studies show that GEV distribution fits values closer to reality when there is need for extrapolation of sampling data for longer periods of returns. In order to contribute to the planning of activities that are influenced by the intensity of precipitated water, we adjusted a model of probability distribution of heavy rain through GEV, using LH moments for estimating its parameters and statistical test proposed by Wang (1998) for checking the quality of the adjustments developed in the Matlab. We analyzed historical time series of maximum rainfall for different durations obtained from rain gauges in the city of Cascavel, Paraná State. Moreover, these series were fitted by Gumbel distribution for purposes of comparison with the GEV. This study shows that the Gumbel distribution underestimates the GEV distribution for large return periods.
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spelling Distribution of frequency and intense rainfall - doi: 10.4025/actasciagron.v33i3.6021Distribuição de frequência e temporal de chuvas intensas - doi: 10.4025/actasciagron.v33i3.6021heavy rainGEV distributionLH momentschuvas intensasdistribuição GEVmomentos LHEngenharia de Água e SoloThe generalized extreme value distribution (GEV) has had great acceptance for discretion of the maximum natural events. Previous studies show that GEV distribution fits values closer to reality when there is need for extrapolation of sampling data for longer periods of returns. In order to contribute to the planning of activities that are influenced by the intensity of precipitated water, we adjusted a model of probability distribution of heavy rain through GEV, using LH moments for estimating its parameters and statistical test proposed by Wang (1998) for checking the quality of the adjustments developed in the Matlab. We analyzed historical time series of maximum rainfall for different durations obtained from rain gauges in the city of Cascavel, Paraná State. Moreover, these series were fitted by Gumbel distribution for purposes of comparison with the GEV. This study shows that the Gumbel distribution underestimates the GEV distribution for large return periods.A distribuição generalizada de valores extremos (GEV) tem tido grande aceitação para discrição dos eventos máximos naturais. Estudos sobre o assunto mostram que a distribuição GEV ajusta valores mais próximos à realidade quando há necessidade de extrapolação dos dados amostrais para grandes períodos de retornos e com o intuito de contribuir para o planejamento de atividades que são influenciadas pela intensidade de água precipitada foi ajustado um modelo de distribuição de probabilidade de chuva intensa por meio da GEV, utilizando momentos LH para estimar seus parâmetros e o teste estatístico proposto por Wang (1998) para verificação da qualidade dos ajustes desenvolvidos no ambiente Matlab. Analisaram-se séries históricas de precipitação máximas para diferentes durações obtidas de pluviográfos no município de Cascavel, Estado do Paraná. Além disso, as referidas séries foram ajustadas pela distribuição Gumbel para efeito de comparação com a GEV. Este trabalho mostra que a distribuição Gumbel subestima a distribuição GEV para grandes períodos de retorno.Universidade Estadual de Maringá2011-04-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/602110.4025/actasciagron.v33i3.6021Acta Scientiarum. Agronomy; Vol 33 No 3 (2011); 401-410Acta Scientiarum. Agronomy; v. 33 n. 3 (2011); 401-4101807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMporhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/6021/6021Quadros, Luciana Espíndula deQueiroz, Manuel Moisés Ferreira deBoas, Marcio Antonio Vilasinfo:eu-repo/semantics/openAccess2022-11-23T18:38:15Zoai:periodicos.uem.br/ojs:article/6021Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2022-11-23T18:38:15Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Distribution of frequency and intense rainfall - doi: 10.4025/actasciagron.v33i3.6021
Distribuição de frequência e temporal de chuvas intensas - doi: 10.4025/actasciagron.v33i3.6021
title Distribution of frequency and intense rainfall - doi: 10.4025/actasciagron.v33i3.6021
spellingShingle Distribution of frequency and intense rainfall - doi: 10.4025/actasciagron.v33i3.6021
Quadros, Luciana Espíndula de
heavy rain
GEV distribution
LH moments
chuvas intensas
distribuição GEV
momentos LH
Engenharia de Água e Solo
title_short Distribution of frequency and intense rainfall - doi: 10.4025/actasciagron.v33i3.6021
title_full Distribution of frequency and intense rainfall - doi: 10.4025/actasciagron.v33i3.6021
title_fullStr Distribution of frequency and intense rainfall - doi: 10.4025/actasciagron.v33i3.6021
title_full_unstemmed Distribution of frequency and intense rainfall - doi: 10.4025/actasciagron.v33i3.6021
title_sort Distribution of frequency and intense rainfall - doi: 10.4025/actasciagron.v33i3.6021
author Quadros, Luciana Espíndula de
author_facet Quadros, Luciana Espíndula de
Queiroz, Manuel Moisés Ferreira de
Boas, Marcio Antonio Vilas
author_role author
author2 Queiroz, Manuel Moisés Ferreira de
Boas, Marcio Antonio Vilas
author2_role author
author
dc.contributor.author.fl_str_mv Quadros, Luciana Espíndula de
Queiroz, Manuel Moisés Ferreira de
Boas, Marcio Antonio Vilas
dc.subject.por.fl_str_mv heavy rain
GEV distribution
LH moments
chuvas intensas
distribuição GEV
momentos LH
Engenharia de Água e Solo
topic heavy rain
GEV distribution
LH moments
chuvas intensas
distribuição GEV
momentos LH
Engenharia de Água e Solo
description The generalized extreme value distribution (GEV) has had great acceptance for discretion of the maximum natural events. Previous studies show that GEV distribution fits values closer to reality when there is need for extrapolation of sampling data for longer periods of returns. In order to contribute to the planning of activities that are influenced by the intensity of precipitated water, we adjusted a model of probability distribution of heavy rain through GEV, using LH moments for estimating its parameters and statistical test proposed by Wang (1998) for checking the quality of the adjustments developed in the Matlab. We analyzed historical time series of maximum rainfall for different durations obtained from rain gauges in the city of Cascavel, Paraná State. Moreover, these series were fitted by Gumbel distribution for purposes of comparison with the GEV. This study shows that the Gumbel distribution underestimates the GEV distribution for large return periods.
publishDate 2011
dc.date.none.fl_str_mv 2011-04-11
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/6021
10.4025/actasciagron.v33i3.6021
url http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/6021
identifier_str_mv 10.4025/actasciagron.v33i3.6021
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/6021/6021
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual de Maringá
publisher.none.fl_str_mv Universidade Estadual de Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Agronomy; Vol 33 No 3 (2011); 401-410
Acta Scientiarum. Agronomy; v. 33 n. 3 (2011); 401-410
1807-8621
1679-9275
reponame:Acta Scientiarum. Agronomy (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta Scientiarum. Agronomy (Online)
collection Acta Scientiarum. Agronomy (Online)
repository.name.fl_str_mv Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br
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