Análise regional da distribuição temporal de precipitações sub diárias para o estado de Minas Gerais

• Ano de defesa: 2015
• Autor(a) principal: Manoela Gomes de Braga Ferreira
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Minas Gerais; UFMG
• Palavras-chave em Português: Meio ambiente e Recursos hídricos; Saneamento; Recursos hídricos Desenvolvimento; Precipitação (Meteorologia); Engenharia sanitária
• Link de acesso: http://hdl.handle.net/1843/BUBD-AAFEPY

Considering hydraulic structure projects, flood plains occupancy planning and measure proposals for mitigating the damage caused by floods, it is necessary to acknowledge the design flow in order to make a correct dimension, plan and proposal of them. In regards of smallwatersheds, there is a shortage of runoff data, making it difficult to estimate peak flows through the traditional frequency analysis. However, in general, the historical series of rainfall data is more extended and consistent than runoff data. Therefore it is quite common to use indirectmethods to estimate peak flows through hydrological models of rainfall-runoff transformation, by using project hyetographs. Knowing the temporal flow distribution is necessary to better design hydraulic structures. In this context, this paper aims to establish a rainfall temporaldistribution to the Brazilian state of Minas Gerais. The methodology presented in this study consists basically in two main steps. The first step of greater relevance shows a proposal of a method for determination of extreme precipitation events. The second main step demonstrates the adjustment of logistic distribution curves of each selected event, in order to identify parameters that provide a regional relationship of rainfall for the entire state of Minas Gerais. At the results, it is possible to observe a temporal distribution created for the whole state, as well as comparisons amongst other frequently used methods for temporal distribution. It was not possible to identify one regional relationship for the entire state in matter.