Characterization and frequency analysis of long-term maximum rainfall from São Martinho, Santa Catarina, Brazil

Detalhes bibliográficos
Autor(a) principal: Back, Álvaro José
Data de Publicação: 2022
Outros Autores: Back, Luísa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Engenharia na Agricultura
Texto Completo: https://periodicos.ufv.br/reveng/article/view/13621
Resumo: The study of the frequency of intense rainfall is important for agricultural and environmental planning and the dimensioning of drainage works. This study aimed to characterize and determine the relationships of intensity, duration, and frequency of long-term rainfall in São Martinho, Santa Catarina. The series of annual maximums lasting from one to ten days, observed in the period from 1977 to 2020, were determined. The probability distributions Gumbel, GEV, Log-Normal with two parameters, Log-Normal with three parameters, Pearson type III, and Log-Pearson Type III were evaluated. The parameters were estimated by the method of moments, maximum likelihood method, method of L-Moments, and for the Gumbel distribution, the Chow method was used. The Kolmogorov-Smirnov, Anderson-Darling, and Filliben fitting tests were used, and for the selection of the distribution, the standard error of the estimate was also used. The Log-Normal distribution with three parameters was selected for series lasting one, five and six days. The Pearson III distribution was selected for a duration of three and four days and the GEV distribution for the other five series. The adjusted IDF equation allows the estimation of rainfall intensity with duration from24 hours to 240 hours and a return period ranging from 2 to 100 years.
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spelling Characterization and frequency analysis of long-term maximum rainfall from São Martinho, Santa Catarina, Brazil Characterization and frequency analysis of long-term maximum rainfall from São Martinho, Santa Catarina, Brazil heavy rainsprobabilityIDF equationhydraulic buidingHeavy rainsProbabilityIDF equationHydraulic worksThe study of the frequency of intense rainfall is important for agricultural and environmental planning and the dimensioning of drainage works. This study aimed to characterize and determine the relationships of intensity, duration, and frequency of long-term rainfall in São Martinho, Santa Catarina. The series of annual maximums lasting from one to ten days, observed in the period from 1977 to 2020, were determined. The probability distributions Gumbel, GEV, Log-Normal with two parameters, Log-Normal with three parameters, Pearson type III, and Log-Pearson Type III were evaluated. The parameters were estimated by the method of moments, maximum likelihood method, method of L-Moments, and for the Gumbel distribution, the Chow method was used. The Kolmogorov-Smirnov, Anderson-Darling, and Filliben fitting tests were used, and for the selection of the distribution, the standard error of the estimate was also used. The Log-Normal distribution with three parameters was selected for series lasting one, five and six days. The Pearson III distribution was selected for a duration of three and four days and the GEV distribution for the other five series. The adjusted IDF equation allows the estimation of rainfall intensity with duration from24 hours to 240 hours and a return period ranging from 2 to 100 years.The study of the frequency of intense rainfall is important for agricultural and environmental planning and the dimensioning of drainage works. This study aimed to characterize and determine the relationships of intensity, duration, and frequency of long-term rainfall in São Martinho, Santa Catarina. The series of annual maximums lasting from one to ten days, observed in the period from 1977 to 2020, were determined. The probability distributions Gumbel, GEV, Log-Normal with two parameters, Log-Normal with three parameters, Pearson type III, and Log-Pearson Type III were evaluated. The parameters were estimated by the method of moments, maximum likelihood method, method of L-Moments, and for the Gumbel distribution, the Chow method was used. The Kolmogorov-Smirnov, Anderson-Darling, and Filliben fitting tests were used, and for the selection of the distribution, the standard error of the estimate was also used. The Log-Normal distribution with three parameters was selected for series lasting one, five and six days. The Pearson III distribution was selected for a duration of three and four days and the GEV distribution for the other five series. The adjusted IDF equation allows the estimation of rainfall intensity with duration from24 hours to 240 hours and a return period ranging from 2 to 100 years.Universidade Federal de Viçosa - UFV2022-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufv.br/reveng/article/view/1362110.13083/reveng.v30i1.13621Engineering in Agriculture; Vol. 30 No. Contínua (2022); 142-155Revista Engenharia na Agricultura - REVENG; v. 30 n. Contínua (2022); 142-1552175-68131414-3984reponame:Engenharia na Agriculturainstname:Universidade Federal de Viçosa (UFV)instacron:UFVenghttps://periodicos.ufv.br/reveng/article/view/13621/7339Copyright (c) 2022 Revista Engenharia na Agricultura - REVENGhttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessBack, Álvaro JoséBack, Luísa2023-01-23T14:06:10Zoai:ojs.periodicos.ufv.br:article/13621Revistahttps://periodicos.ufv.br/revengPUBhttps://periodicos.ufv.br/reveng/oairevistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br2175-68131414-3984opendoar:2023-01-23T14:06:10Engenharia na Agricultura - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv Characterization and frequency analysis of long-term maximum rainfall from São Martinho, Santa Catarina, Brazil
Characterization and frequency analysis of long-term maximum rainfall from São Martinho, Santa Catarina, Brazil
title Characterization and frequency analysis of long-term maximum rainfall from São Martinho, Santa Catarina, Brazil
spellingShingle Characterization and frequency analysis of long-term maximum rainfall from São Martinho, Santa Catarina, Brazil
Back, Álvaro José
heavy rains
probability
IDF equation
hydraulic buiding
Heavy rains
Probability
IDF equation
Hydraulic works
title_short Characterization and frequency analysis of long-term maximum rainfall from São Martinho, Santa Catarina, Brazil
title_full Characterization and frequency analysis of long-term maximum rainfall from São Martinho, Santa Catarina, Brazil
title_fullStr Characterization and frequency analysis of long-term maximum rainfall from São Martinho, Santa Catarina, Brazil
title_full_unstemmed Characterization and frequency analysis of long-term maximum rainfall from São Martinho, Santa Catarina, Brazil
title_sort Characterization and frequency analysis of long-term maximum rainfall from São Martinho, Santa Catarina, Brazil
author Back, Álvaro José
author_facet Back, Álvaro José
Back, Luísa
author_role author
author2 Back, Luísa
author2_role author
dc.contributor.author.fl_str_mv Back, Álvaro José
Back, Luísa
dc.subject.por.fl_str_mv heavy rains
probability
IDF equation
hydraulic buiding
Heavy rains
Probability
IDF equation
Hydraulic works
topic heavy rains
probability
IDF equation
hydraulic buiding
Heavy rains
Probability
IDF equation
Hydraulic works
description The study of the frequency of intense rainfall is important for agricultural and environmental planning and the dimensioning of drainage works. This study aimed to characterize and determine the relationships of intensity, duration, and frequency of long-term rainfall in São Martinho, Santa Catarina. The series of annual maximums lasting from one to ten days, observed in the period from 1977 to 2020, were determined. The probability distributions Gumbel, GEV, Log-Normal with two parameters, Log-Normal with three parameters, Pearson type III, and Log-Pearson Type III were evaluated. The parameters were estimated by the method of moments, maximum likelihood method, method of L-Moments, and for the Gumbel distribution, the Chow method was used. The Kolmogorov-Smirnov, Anderson-Darling, and Filliben fitting tests were used, and for the selection of the distribution, the standard error of the estimate was also used. The Log-Normal distribution with three parameters was selected for series lasting one, five and six days. The Pearson III distribution was selected for a duration of three and four days and the GEV distribution for the other five series. The adjusted IDF equation allows the estimation of rainfall intensity with duration from24 hours to 240 hours and a return period ranging from 2 to 100 years.
publishDate 2022
dc.date.none.fl_str_mv 2022-06-01
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 https://periodicos.ufv.br/reveng/article/view/13621
10.13083/reveng.v30i1.13621
url https://periodicos.ufv.br/reveng/article/view/13621
identifier_str_mv 10.13083/reveng.v30i1.13621
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.ufv.br/reveng/article/view/13621/7339
dc.rights.driver.fl_str_mv Copyright (c) 2022 Revista Engenharia na Agricultura - REVENG
https://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 Revista Engenharia na Agricultura - REVENG
https://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
dc.source.none.fl_str_mv Engineering in Agriculture; Vol. 30 No. Contínua (2022); 142-155
Revista Engenharia na Agricultura - REVENG; v. 30 n. Contínua (2022); 142-155
2175-6813
1414-3984
reponame:Engenharia na Agricultura
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str Engenharia na Agricultura
collection Engenharia na Agricultura
repository.name.fl_str_mv Engenharia na Agricultura - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv revistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br
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