Previsão do comportamento hidráulico de um rio com base na estimativa de coeficientes que controlam seu escoamento. Estudo de caso: Rio Bengalas, Nova Friburgo-RJ

• Autor(a) principal: Telles, Wagner Rambaldi
• Data de Publicação: 2014
• Tipo de documento: Tese
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da UERJ
• Texto Completo: http://www.bdtd.uerj.br/handle/1/13678
• topic: Watershed; Bengalas river; Inverse problems; Parameters estimation; MOHID; Hidrodinâmica Métodos de simulação; Hidrodinâmica Modelos matemáticos; Estuários Hidrodinâmica; Controle de inundações; Chuvas; Inundações Previsão; Bengalas, Rio (Nova Friburgo, RJ); Problemas inversos (Equações diferenciais); Bacias hidrográficas; Estimativa de parâmetros; MOHID; CNPQ::CIENCIAS EXATAS E DA TERRA::MATEMATICA::MATEMATICA APLICADA

In this thesis is held the modeling of the hydraulic behavior of the main rivers that form the Bengalas River watershed, located in the municipality of Nova Friburgo, Rio de Janeiro, which covers the most urbanized area of that city. To perform the simulations was used MOHID Waters Modeling System, Land MOHID tool. As for the calibration of the model were adopted some optimization methods, more precisely, the Luus-Jaakola (LJ) and Particle Collision (PCA) algorithms coupled to said system, in order to determine the main parameters needed for modeling bodies water and their watersheds. We used topographic data from the IBGE provided by the city after the preparation of the Stormwater Plan for the region of interest. With the model calibrated through experimental data, the same was validated by simulating flooding in this region. Although optimization techniques coupled to the platform MOHID were first used in a mountain river, the results presented are important and qualitatively satisfactory from the point of view of aid to decision making, based on the prevention of damage caused by increases in water level that often occur in Nova Friburgo, such as the recent tragedy that occurred in January 2011 in the mountainous region of the Rio de Janeiro State.