A coupled system based on Differential Evolution for the determination of Rainfall intensity equations

Detalhes bibliográficos
Autor(a) principal: Gomes,Guilherme José Cunha
Data de Publicação: 2018
Outros Autores: Vargas Júnior,Eurípedes do Amaral
Tipo de documento: Artigo
Idioma: eng
Título da fonte: RBRH (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312018000100249
Resumo: ABSTRACT Rainfall intensity equations are fundamental in hydrological studies of road design, which require a project rainfall definition to estimate the project flow and the subsequent design of the hydraulic structure. This paper develops an integrated framework for rainfall intensity equations analyses from global optimization via Differential Evolution. The code was specially developed to facilitate the Gumbel model adjustment in the frequency analysis of annual series, as well as the intensity-duration-frequency model fit, without prior knowledge about the parameters of both models. The developed system was evaluated by using Markov chain Monte Carlo simulation, that search efficiently the model parameter space in pursuit of posterior samples and the posterior prediction uncertainty for both models. The results indicate that simulations are shown to be in good agreement with the measured flow and precipitation data. The optimal parameters obtained with the developed framework agreed with the maximum a-posteriori value of the Monte Carlo simulations. The paper illustrates explicitly the benefits of the method using real-world precipitation data collected for a hydrologic study of a highway design.
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spelling A coupled system based on Differential Evolution for the determination of Rainfall intensity equationsPrecipitationRainfall intensity equationsGlobal optimizationDifferential EvolutionHighway designABSTRACT Rainfall intensity equations are fundamental in hydrological studies of road design, which require a project rainfall definition to estimate the project flow and the subsequent design of the hydraulic structure. This paper develops an integrated framework for rainfall intensity equations analyses from global optimization via Differential Evolution. The code was specially developed to facilitate the Gumbel model adjustment in the frequency analysis of annual series, as well as the intensity-duration-frequency model fit, without prior knowledge about the parameters of both models. The developed system was evaluated by using Markov chain Monte Carlo simulation, that search efficiently the model parameter space in pursuit of posterior samples and the posterior prediction uncertainty for both models. The results indicate that simulations are shown to be in good agreement with the measured flow and precipitation data. The optimal parameters obtained with the developed framework agreed with the maximum a-posteriori value of the Monte Carlo simulations. The paper illustrates explicitly the benefits of the method using real-world precipitation data collected for a hydrologic study of a highway design.Associação Brasileira de Recursos Hídricos2018-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312018000100249RBRH v.23 2018reponame:RBRH (Online)instname:Associação Brasileira de Recursos Hídricos (ABRH)instacron:ABRH10.1590/2318-0331.231820170165info:eu-repo/semantics/openAccessGomes,Guilherme José CunhaVargas Júnior,Eurípedes do Amaraleng2018-11-21T00:00:00Zoai:scielo:S2318-03312018000100249Revistahttps://www.scielo.br/j/rbrh/https://old.scielo.br/oai/scielo-oai.php||rbrh@abrh.org.br2318-03311414-381Xopendoar:2018-11-21T00:00RBRH (Online) - Associação Brasileira de Recursos Hídricos (ABRH)false
dc.title.none.fl_str_mv A coupled system based on Differential Evolution for the determination of Rainfall intensity equations
title A coupled system based on Differential Evolution for the determination of Rainfall intensity equations
spellingShingle A coupled system based on Differential Evolution for the determination of Rainfall intensity equations
Gomes,Guilherme José Cunha
Precipitation
Rainfall intensity equations
Global optimization
Differential Evolution
Highway design
title_short A coupled system based on Differential Evolution for the determination of Rainfall intensity equations
title_full A coupled system based on Differential Evolution for the determination of Rainfall intensity equations
title_fullStr A coupled system based on Differential Evolution for the determination of Rainfall intensity equations
title_full_unstemmed A coupled system based on Differential Evolution for the determination of Rainfall intensity equations
title_sort A coupled system based on Differential Evolution for the determination of Rainfall intensity equations
author Gomes,Guilherme José Cunha
author_facet Gomes,Guilherme José Cunha
Vargas Júnior,Eurípedes do Amaral
author_role author
author2 Vargas Júnior,Eurípedes do Amaral
author2_role author
dc.contributor.author.fl_str_mv Gomes,Guilherme José Cunha
Vargas Júnior,Eurípedes do Amaral
dc.subject.por.fl_str_mv Precipitation
Rainfall intensity equations
Global optimization
Differential Evolution
Highway design
topic Precipitation
Rainfall intensity equations
Global optimization
Differential Evolution
Highway design
description ABSTRACT Rainfall intensity equations are fundamental in hydrological studies of road design, which require a project rainfall definition to estimate the project flow and the subsequent design of the hydraulic structure. This paper develops an integrated framework for rainfall intensity equations analyses from global optimization via Differential Evolution. The code was specially developed to facilitate the Gumbel model adjustment in the frequency analysis of annual series, as well as the intensity-duration-frequency model fit, without prior knowledge about the parameters of both models. The developed system was evaluated by using Markov chain Monte Carlo simulation, that search efficiently the model parameter space in pursuit of posterior samples and the posterior prediction uncertainty for both models. The results indicate that simulations are shown to be in good agreement with the measured flow and precipitation data. The optimal parameters obtained with the developed framework agreed with the maximum a-posteriori value of the Monte Carlo simulations. The paper illustrates explicitly the benefits of the method using real-world precipitation data collected for a hydrologic study of a highway design.
publishDate 2018
dc.date.none.fl_str_mv 2018-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312018000100249
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2318-0331.231820170165
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Associação Brasileira de Recursos Hídricos
publisher.none.fl_str_mv Associação Brasileira de Recursos Hídricos
dc.source.none.fl_str_mv RBRH v.23 2018
reponame:RBRH (Online)
instname:Associação Brasileira de Recursos Hídricos (ABRH)
instacron:ABRH
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institution ABRH
reponame_str RBRH (Online)
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