Using fuzzy modeling, to study flood routing in natural rivers  

Detalhes bibliográficos
Autor(a) principal: Chagas, Patricia Freire
Data de Publicação: 2005
Outros Autores: Souza, Raimundo Oliveira de
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da Universidade Federal do Ceará (UFC)
Texto Completo: http://www.repositorio.ufc.br/handle/riufc/11205
Resumo: The Saint Venant’s equations have been applied to study flood routing in natural rivers. However, considering that such models are deterministic, there are difficulties in finding ways to work with the inherent uncertainties in flood routing. To resolve that inconvenience, this research applies fuzzy set theory, on the hydrodynamics modeling, to figure out uncertainties, present in the flood routing. To do so, a set of membership functions was defined representing hydraulics and hydrologic parameters. In this way, the hydrodynamics model can be solved, yielding a membership function that represents the flow field in a river. The results show that fuzzy theory could be a very useful methodology to evaluate uncertainties, and predict engineering risk analysis concerning with flood routing processes in rivers.
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spelling Using fuzzy modeling, to study flood routing in natural rivers  Teoria FuzzyEscoamento em rios naturaisThe Saint Venant’s equations have been applied to study flood routing in natural rivers. However, considering that such models are deterministic, there are difficulties in finding ways to work with the inherent uncertainties in flood routing. To resolve that inconvenience, this research applies fuzzy set theory, on the hydrodynamics modeling, to figure out uncertainties, present in the flood routing. To do so, a set of membership functions was defined representing hydraulics and hydrologic parameters. In this way, the hydrodynamics model can be solved, yielding a membership function that represents the flow field in a river. The results show that fuzzy theory could be a very useful methodology to evaluate uncertainties, and predict engineering risk analysis concerning with flood routing processes in rivers.2015-03-31T18:02:45Z2015-03-31T18:02:45Z2005info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectapplication/pdfCHAGAS, P.; SOUZA, R. O. Using fuzzy modeling, to study flood routing in natural rivers. In: HYDROLOGY DAYS, 2005, Fort Collins. Anais... Fort Collins: [s. n.], 2005.http://www.repositorio.ufc.br/handle/riufc/11205Chagas, Patricia FreireSouza, Raimundo Oliveira deengreponame:Repositório Institucional da Universidade Federal do Ceará (UFC)instname:Universidade Federal do Ceará (UFC)instacron:UFCinfo:eu-repo/semantics/openAccess2020-01-01T00:10:20Zoai:repositorio.ufc.br:riufc/11205Repositório InstitucionalPUBhttp://www.repositorio.ufc.br/ri-oai/requestbu@ufc.br || repositorio@ufc.bropendoar:2024-09-11T18:16:49.217678Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Using fuzzy modeling, to study flood routing in natural rivers  
title Using fuzzy modeling, to study flood routing in natural rivers  
spellingShingle Using fuzzy modeling, to study flood routing in natural rivers  
Chagas, Patricia Freire
Teoria Fuzzy
Escoamento em rios naturais
title_short Using fuzzy modeling, to study flood routing in natural rivers  
title_full Using fuzzy modeling, to study flood routing in natural rivers  
title_fullStr Using fuzzy modeling, to study flood routing in natural rivers  
title_full_unstemmed Using fuzzy modeling, to study flood routing in natural rivers  
title_sort Using fuzzy modeling, to study flood routing in natural rivers  
author Chagas, Patricia Freire
author_facet Chagas, Patricia Freire
Souza, Raimundo Oliveira de
author_role author
author2 Souza, Raimundo Oliveira de
author2_role author
dc.contributor.author.fl_str_mv Chagas, Patricia Freire
Souza, Raimundo Oliveira de
dc.subject.por.fl_str_mv Teoria Fuzzy
Escoamento em rios naturais
topic Teoria Fuzzy
Escoamento em rios naturais
description The Saint Venant’s equations have been applied to study flood routing in natural rivers. However, considering that such models are deterministic, there are difficulties in finding ways to work with the inherent uncertainties in flood routing. To resolve that inconvenience, this research applies fuzzy set theory, on the hydrodynamics modeling, to figure out uncertainties, present in the flood routing. To do so, a set of membership functions was defined representing hydraulics and hydrologic parameters. In this way, the hydrodynamics model can be solved, yielding a membership function that represents the flow field in a river. The results show that fuzzy theory could be a very useful methodology to evaluate uncertainties, and predict engineering risk analysis concerning with flood routing processes in rivers.
publishDate 2005
dc.date.none.fl_str_mv 2005
2015-03-31T18:02:45Z
2015-03-31T18:02:45Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv CHAGAS, P.; SOUZA, R. O. Using fuzzy modeling, to study flood routing in natural rivers. In: HYDROLOGY DAYS, 2005, Fort Collins. Anais... Fort Collins: [s. n.], 2005.
http://www.repositorio.ufc.br/handle/riufc/11205
identifier_str_mv CHAGAS, P.; SOUZA, R. O. Using fuzzy modeling, to study flood routing in natural rivers. In: HYDROLOGY DAYS, 2005, Fort Collins. Anais... Fort Collins: [s. n.], 2005.
url http://www.repositorio.ufc.br/handle/riufc/11205
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Institucional da Universidade Federal do Ceará (UFC)
instname:Universidade Federal do Ceará (UFC)
instacron:UFC
instname_str Universidade Federal do Ceará (UFC)
instacron_str UFC
institution UFC
reponame_str Repositório Institucional da Universidade Federal do Ceará (UFC)
collection Repositório Institucional da Universidade Federal do Ceará (UFC)
repository.name.fl_str_mv Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv bu@ufc.br || repositorio@ufc.br
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