Detalhes bibliográficos
Ano de defesa: |
2013 |
Autor(a) principal: |
Seibt, Ana Carolina
![lattes](/bdtd/themes/bdtd/images/lattes.gif?_=1676566308) |
Orientador(a): |
Formiga, Klebber Teodomiro Martins
![lattes](/bdtd/themes/bdtd/images/lattes.gif?_=1676566308) |
Banca de defesa: |
Formiga, Klebber Teodomiro Martins,
Siqueira, Eduardo Queija de,
Aragão, Ricardo de |
Tipo de documento: |
Dissertação
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Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
Universidade Federal de Goiás
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Programa de Pós-Graduação: |
Programa de Pós-graduação em Engenharia do Meio Ambiente (EEC)
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Departamento: |
Escola de Engenharia Civil - EEC (RG)
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País: |
Brasil
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Palavras-chave em Português: |
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Palavras-chave em Inglês: |
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Área do conhecimento CNPq: |
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Link de acesso: |
http://repositorio.bc.ufg.br/tede/handle/tede/3221
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Resumo: |
The numerous problems arising from the increased amount of impermeable areas and drainage system of rainwater lagged consist of a hard challenge for public administrations. The hydrological modeling appears as a strong support engineering, however, is subject to a distinct set of constraints rarely explicitly considered by analysis of uncertainty to the results. The present study aims to highlight the role of hydrological modeling through a model transformation process for rainfall-runoff watershed stream Botafogo (Goiania - GO), called UFGModel1.0 and ascertain the uncertainty analysis applied in simulation flows. To achieve the goal, after exposure of the problem, we propose a methodology for uncertainty analysis using the Monte Carlo method, based on the method of estimation uncertainty GLUE. We stress the importance given in consideration of the precipitation fields, and the effect of simplifying the response of a model of a precipitation-runoff. The results demonstrate that multiple sets of parameters were considered excellent high efficiency enabling a model for events intense precipitation. Parameters studied concluded that the sealed area holds great sensitivity, significantly altering the design flow. |