Probability distribution of heavy rainfall and determination of IDF in the city of Caruaru - PE

Detalhes bibliográficos
Autor(a) principal: Mendes,Kevin Matheus Correia
Data de Publicação: 2021
Outros Autores: Oliveira,Aline Lima de, Alcântara,Lucas Ravellys Pyrrho de, Alves,Adriana Thays Araújo, Santos Neto,Severino Martins dos, Coutinho,Artur Paiva, Montenegro,Suzana Maria Gico Lima, Soares,José Moura, Antonino,Antonio Celso Dantas
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Ambiente & Água
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2021000100312
Resumo: Abstract In the design of hydraulic engineering works, the estimation of project precipitation is fundamental. Rain forecasting depends on several factors, which makes estimating it simpler with stochastic processes. In this sense, the distributions of Gumbel (GUM), Log-Normal two-parameter (LN2P), Generalized Extreme Value (GEV), Fréchet with two and three parameters (FRE2P and FRE3P), Weibull with two and three parameters (W2P and W3P), Gamma (GAM2P), and Pareto with two and three parameters (PAR2P and PAR3P) were evaluated to the annual maximum daily precipitation (AMDP) adjustment in the city of Caruaru (Pernambuco´s Agreste). A series of AMDP was used, based on data obtained from the National Water Agency (Agência Nacional de Águas - ANA). Anderson Darling (AD), Kolmogorov-Smirnov (KS) and Pearson Chi-square (χ2) adherence tests, and the determination coefficient (R²) were used to assess the adherence quality of the distributions. The Likelihood Method presented a better fit quality than the Moment Method. The GEV distribution obtained the best results for the AD test in both methods to estimate the parameters. Among the adherence tests used, the AD test was considered the most restrictive. To verify the quality parameters’ fitness to the IDF relations, the Willmott performance coefficient was used. For all distributions employed in this study, Willmott performance coefficients presented values above 0.99, giving a perfect fit of IDF relations with determination coefficients close to 1.0.
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spelling Probability distribution of heavy rainfall and determination of IDF in the city of Caruaru - PElikelihood methodmethod of momentsstatistical hydrologyAbstract In the design of hydraulic engineering works, the estimation of project precipitation is fundamental. Rain forecasting depends on several factors, which makes estimating it simpler with stochastic processes. In this sense, the distributions of Gumbel (GUM), Log-Normal two-parameter (LN2P), Generalized Extreme Value (GEV), Fréchet with two and three parameters (FRE2P and FRE3P), Weibull with two and three parameters (W2P and W3P), Gamma (GAM2P), and Pareto with two and three parameters (PAR2P and PAR3P) were evaluated to the annual maximum daily precipitation (AMDP) adjustment in the city of Caruaru (Pernambuco´s Agreste). A series of AMDP was used, based on data obtained from the National Water Agency (Agência Nacional de Águas - ANA). Anderson Darling (AD), Kolmogorov-Smirnov (KS) and Pearson Chi-square (χ2) adherence tests, and the determination coefficient (R²) were used to assess the adherence quality of the distributions. The Likelihood Method presented a better fit quality than the Moment Method. The GEV distribution obtained the best results for the AD test in both methods to estimate the parameters. Among the adherence tests used, the AD test was considered the most restrictive. To verify the quality parameters’ fitness to the IDF relations, the Willmott performance coefficient was used. For all distributions employed in this study, Willmott performance coefficients presented values above 0.99, giving a perfect fit of IDF relations with determination coefficients close to 1.0.Instituto de Pesquisas Ambientais em Bacias Hidrográficas2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2021000100312Revista Ambiente & Água v.16 n.1 2021reponame:Revista Ambiente & Águainstname:Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)instacron:IPABHI10.4136/ambi-agua.2555info:eu-repo/semantics/openAccessMendes,Kevin Matheus CorreiaOliveira,Aline Lima deAlcântara,Lucas Ravellys Pyrrho deAlves,Adriana Thays AraújoSantos Neto,Severino Martins dosCoutinho,Artur PaivaMontenegro,Suzana Maria Gico LimaSoares,José MouraAntonino,Antonio Celso Dantaseng2021-02-19T00:00:00Zoai:scielo:S1980-993X2021000100312Revistahttp://www.ambi-agua.net/PUBhttps://old.scielo.br/oai/scielo-oai.php||ambi.agua@gmail.com1980-993X1980-993Xopendoar:2021-02-19T00:00Revista Ambiente & Água - Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)false
dc.title.none.fl_str_mv Probability distribution of heavy rainfall and determination of IDF in the city of Caruaru - PE
title Probability distribution of heavy rainfall and determination of IDF in the city of Caruaru - PE
spellingShingle Probability distribution of heavy rainfall and determination of IDF in the city of Caruaru - PE
Mendes,Kevin Matheus Correia
likelihood method
method of moments
statistical hydrology
title_short Probability distribution of heavy rainfall and determination of IDF in the city of Caruaru - PE
title_full Probability distribution of heavy rainfall and determination of IDF in the city of Caruaru - PE
title_fullStr Probability distribution of heavy rainfall and determination of IDF in the city of Caruaru - PE
title_full_unstemmed Probability distribution of heavy rainfall and determination of IDF in the city of Caruaru - PE
title_sort Probability distribution of heavy rainfall and determination of IDF in the city of Caruaru - PE
author Mendes,Kevin Matheus Correia
author_facet Mendes,Kevin Matheus Correia
Oliveira,Aline Lima de
Alcântara,Lucas Ravellys Pyrrho de
Alves,Adriana Thays Araújo
Santos Neto,Severino Martins dos
Coutinho,Artur Paiva
Montenegro,Suzana Maria Gico Lima
Soares,José Moura
Antonino,Antonio Celso Dantas
author_role author
author2 Oliveira,Aline Lima de
Alcântara,Lucas Ravellys Pyrrho de
Alves,Adriana Thays Araújo
Santos Neto,Severino Martins dos
Coutinho,Artur Paiva
Montenegro,Suzana Maria Gico Lima
Soares,José Moura
Antonino,Antonio Celso Dantas
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Mendes,Kevin Matheus Correia
Oliveira,Aline Lima de
Alcântara,Lucas Ravellys Pyrrho de
Alves,Adriana Thays Araújo
Santos Neto,Severino Martins dos
Coutinho,Artur Paiva
Montenegro,Suzana Maria Gico Lima
Soares,José Moura
Antonino,Antonio Celso Dantas
dc.subject.por.fl_str_mv likelihood method
method of moments
statistical hydrology
topic likelihood method
method of moments
statistical hydrology
description Abstract In the design of hydraulic engineering works, the estimation of project precipitation is fundamental. Rain forecasting depends on several factors, which makes estimating it simpler with stochastic processes. In this sense, the distributions of Gumbel (GUM), Log-Normal two-parameter (LN2P), Generalized Extreme Value (GEV), Fréchet with two and three parameters (FRE2P and FRE3P), Weibull with two and three parameters (W2P and W3P), Gamma (GAM2P), and Pareto with two and three parameters (PAR2P and PAR3P) were evaluated to the annual maximum daily precipitation (AMDP) adjustment in the city of Caruaru (Pernambuco´s Agreste). A series of AMDP was used, based on data obtained from the National Water Agency (Agência Nacional de Águas - ANA). Anderson Darling (AD), Kolmogorov-Smirnov (KS) and Pearson Chi-square (χ2) adherence tests, and the determination coefficient (R²) were used to assess the adherence quality of the distributions. The Likelihood Method presented a better fit quality than the Moment Method. The GEV distribution obtained the best results for the AD test in both methods to estimate the parameters. Among the adherence tests used, the AD test was considered the most restrictive. To verify the quality parameters’ fitness to the IDF relations, the Willmott performance coefficient was used. For all distributions employed in this study, Willmott performance coefficients presented values above 0.99, giving a perfect fit of IDF relations with determination coefficients close to 1.0.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
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=S1980-993X2021000100312
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2021000100312
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.4136/ambi-agua.2555
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.16 n.1 2021
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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