Development of Intensity-Duration-Frequency Curves of Intense Rainfall With Emphasis on the Behavior of the Upper Tail of the Distribution
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1590/0102-77863710069 http://hdl.handle.net/11449/241610 |
Resumo: | The design and management of various hydraulic structures (such as stormwater drains, bridges and dams) require the estimation of rainfall with duration of a few minutes up to 24 h or more. Intensity-duration-frequency (IDF) curves links probability of occurrence to a given rainfall intensity. The procedure for obtaining IDF curves basically involves two steps: (i) frequency analysis for different durations and (ii) modeling of IDF curves. In the first step, this study aimed to adequately select the upper tail weight of the following distributions: generalized extreme value (GEV), generalized logistic (GLO) and generalized Pareto (GPA). In the second step, this study aimed to evaluate the performance of three models of IDF curves. The traditional model (M1) was compared with empirical model (M2) and a second-order polynomial model (M3). To perform this study, rainfall data from the city of Caraguatatuba (São Paulo state, Brazil) for the period between 1971 and 2001 were used, for time intervals between 10 and 1440 min. The main conclusions were: (i) GLO and GEV had heavy upper tail while GPA had light upper tail, impacting quantiles with T > 100 years; (ii) M3 presents errors lower than M1 for return periods greater than 100 years. |
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Development of Intensity-Duration-Frequency Curves of Intense Rainfall With Emphasis on the Behavior of the Upper Tail of the DistributionDesenvolvimento de Curvas de Intensidade-Duração-Frequência de Chuvas Intensas com Ênfase no Comportamento da Cauda Superior da Distribuiçãodesign rainfallextreme valuesLH momentsThe design and management of various hydraulic structures (such as stormwater drains, bridges and dams) require the estimation of rainfall with duration of a few minutes up to 24 h or more. Intensity-duration-frequency (IDF) curves links probability of occurrence to a given rainfall intensity. The procedure for obtaining IDF curves basically involves two steps: (i) frequency analysis for different durations and (ii) modeling of IDF curves. In the first step, this study aimed to adequately select the upper tail weight of the following distributions: generalized extreme value (GEV), generalized logistic (GLO) and generalized Pareto (GPA). In the second step, this study aimed to evaluate the performance of three models of IDF curves. The traditional model (M1) was compared with empirical model (M2) and a second-order polynomial model (M3). To perform this study, rainfall data from the city of Caraguatatuba (São Paulo state, Brazil) for the period between 1971 and 2001 were used, for time intervals between 10 and 1440 min. The main conclusions were: (i) GLO and GEV had heavy upper tail while GPA had light upper tail, impacting quantiles with T > 100 years; (ii) M3 presents errors lower than M1 for return periods greater than 100 years.Departamento de Engenharia Civil Universidade Tecnológica Federal do Paraná, PRCentro de Ciência Exatas e Tecnológicas Universidade Estadual do Oeste do Paraná, PRDepartamento de Engenharia Rural e Socioecomia Faculdade de Ciências Agronômicas Universidade Estadual Paulista “Júlio de Mesquita Filho”, SPDepartamento de Engenharia Rural e Socioecomia Faculdade de Ciências Agronômicas Universidade Estadual Paulista “Júlio de Mesquita Filho”, SPUniversidade Tecnológica Federal do ParanáUniversidade Estadual do Oeste do ParanáUniversidade Estadual Paulista (UNESP)Pansera, Wagner AlessandroGomes, Benedito Martinsde Mello, Eloy LemosSaad, João Carlos Cury [UNESP]2023-03-01T21:12:54Z2023-03-01T21:12:54Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article213-221http://dx.doi.org/10.1590/0102-77863710069Revista Brasileira de Meteorologia, v. 37, n. 2, p. 213-221, 2022.1982-43510102-7786http://hdl.handle.net/11449/24161010.1590/0102-778637100692-s2.0-85137345791Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRevista Brasileira de Meteorologiainfo:eu-repo/semantics/openAccess2024-04-30T14:01:03Zoai:repositorio.unesp.br:11449/241610Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462024-04-30T14:01:03Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Development of Intensity-Duration-Frequency Curves of Intense Rainfall With Emphasis on the Behavior of the Upper Tail of the Distribution Desenvolvimento de Curvas de Intensidade-Duração-Frequência de Chuvas Intensas com Ênfase no Comportamento da Cauda Superior da Distribuição |
title |
Development of Intensity-Duration-Frequency Curves of Intense Rainfall With Emphasis on the Behavior of the Upper Tail of the Distribution |
spellingShingle |
Development of Intensity-Duration-Frequency Curves of Intense Rainfall With Emphasis on the Behavior of the Upper Tail of the Distribution Pansera, Wagner Alessandro design rainfall extreme values LH moments |
title_short |
Development of Intensity-Duration-Frequency Curves of Intense Rainfall With Emphasis on the Behavior of the Upper Tail of the Distribution |
title_full |
Development of Intensity-Duration-Frequency Curves of Intense Rainfall With Emphasis on the Behavior of the Upper Tail of the Distribution |
title_fullStr |
Development of Intensity-Duration-Frequency Curves of Intense Rainfall With Emphasis on the Behavior of the Upper Tail of the Distribution |
title_full_unstemmed |
Development of Intensity-Duration-Frequency Curves of Intense Rainfall With Emphasis on the Behavior of the Upper Tail of the Distribution |
title_sort |
Development of Intensity-Duration-Frequency Curves of Intense Rainfall With Emphasis on the Behavior of the Upper Tail of the Distribution |
author |
Pansera, Wagner Alessandro |
author_facet |
Pansera, Wagner Alessandro Gomes, Benedito Martins de Mello, Eloy Lemos Saad, João Carlos Cury [UNESP] |
author_role |
author |
author2 |
Gomes, Benedito Martins de Mello, Eloy Lemos Saad, João Carlos Cury [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Tecnológica Federal do Paraná Universidade Estadual do Oeste do Paraná Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Pansera, Wagner Alessandro Gomes, Benedito Martins de Mello, Eloy Lemos Saad, João Carlos Cury [UNESP] |
dc.subject.por.fl_str_mv |
design rainfall extreme values LH moments |
topic |
design rainfall extreme values LH moments |
description |
The design and management of various hydraulic structures (such as stormwater drains, bridges and dams) require the estimation of rainfall with duration of a few minutes up to 24 h or more. Intensity-duration-frequency (IDF) curves links probability of occurrence to a given rainfall intensity. The procedure for obtaining IDF curves basically involves two steps: (i) frequency analysis for different durations and (ii) modeling of IDF curves. In the first step, this study aimed to adequately select the upper tail weight of the following distributions: generalized extreme value (GEV), generalized logistic (GLO) and generalized Pareto (GPA). In the second step, this study aimed to evaluate the performance of three models of IDF curves. The traditional model (M1) was compared with empirical model (M2) and a second-order polynomial model (M3). To perform this study, rainfall data from the city of Caraguatatuba (São Paulo state, Brazil) for the period between 1971 and 2001 were used, for time intervals between 10 and 1440 min. The main conclusions were: (i) GLO and GEV had heavy upper tail while GPA had light upper tail, impacting quantiles with T > 100 years; (ii) M3 presents errors lower than M1 for return periods greater than 100 years. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 2023-03-01T21:12:54Z 2023-03-01T21:12:54Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1590/0102-77863710069 Revista Brasileira de Meteorologia, v. 37, n. 2, p. 213-221, 2022. 1982-4351 0102-7786 http://hdl.handle.net/11449/241610 10.1590/0102-77863710069 2-s2.0-85137345791 |
url |
http://dx.doi.org/10.1590/0102-77863710069 http://hdl.handle.net/11449/241610 |
identifier_str_mv |
Revista Brasileira de Meteorologia, v. 37, n. 2, p. 213-221, 2022. 1982-4351 0102-7786 10.1590/0102-77863710069 2-s2.0-85137345791 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Revista Brasileira de Meteorologia |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
213-221 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
repositoriounesp@unesp.br |
_version_ |
1826303958922035200 |