Teses e Dissertações defendidas fora da UFPA
URI Permanente desta comunidadehttps://repositorio.ufpa.br/handle/2011/7305
Teses e Dissertações defendidas fora do âmbito da Universidade Federal do Pará cujos autores(as) sejam servidores(as) técnicos administrativos ou docentes da UFPA
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Item Acesso aberto (Open Access) Contribuição ao gerenciamento de recursos hídricos do Rio Piracicaba(Universidade Estadual de Campinas, 1995-09) BARP, Ana Rosa Baganha; BARBOSA, Paulo Sérgio Franco; http://lattes.cnpq.br/9653654803297649This work deals with a network flow optimization problem applied to the Piracicaba river system. A mathematical optimization method which gives great computational efficiency was selected. The aim is to help the management and operation of hydrografic basins geared to the control of the quality and quantity of the water. Computational mathematical models were chosen due to their speedy and efficient aid to decision making. The problem was handled by adopting the multiobjective formulation of the Weight Method and a networks flow optimization algorithm coupled with a piece-wise linear objective function. At was verified that the river system responds satisfactorily as long as the flow of a twenty-four month's period is known in advance (deterministc flows) and with due manipulation of the storages and differentiation of the storages with time. The systemic vision the models provides is an alternative approach to the traditional studies that evaluate the benefits the hydraulic structures in the punctual formItem Acesso aberto (Open Access) Modelagem chuva-vazão em bacias hidrograficas com suporte em redes neurais artificiais(Universidade Estadual de Campinas, 1999-12-06) BARP, Ana Rosa Baganha; BARBOSA, Paulo Sérgio Franco; http://lattes.cnpq.br/9653654803297649This work describes the use of two hydrological simulation deterministic models to represent the rainfuJI-runnoff processo The Itapetiniga, Almas and Guarapiranga rivers basin, located in the State of São Paulo and the Guaporé river basin located in the State of Mato Grasso, are taken as a case study. Both deterministic models used parameters optimization, with a nonlinear and unconstrained structure: (a) SMAP - Soil Moisture Accounting Procedure, which uses a first order optimization procedure; (b) Artificial Neural Network (ARN) model, which uses a second order optimzation procedure. Both models assume a montly interval to account rainfall and river flow. Some tests include a mix structure between SMAP and ARN, aiming at an evaluation of ARN potential to replace physical parameters and typical processes of conceptual rainfall-runnoff models.