Development of Intensity-Duration-Frequency Curves of Intense Rainfall With Emphasis on the Behavior of the Upper Tail of the Distribution

Detalhes bibliográficos
Autor(a) principal: Pansera, Wagner Alessandro
Data de Publicação: 2022
Outros Autores: Gomes, Benedito Martins, de Mello, Eloy Lemos, Saad, João Carlos Cury [UNESP]
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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spelling 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/requestopendoar: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
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