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Physical changes occurring over time require that hydraulic models to forecast the behavior of water distribution networks have their parameters reevaluated through calibration. There are several difficulties inherent to the calibration process of real networks, amongst which one can highlight those resulting from poor existing records such as uncertainty about the existence and position of networks valves. Many calibration methods have been proposed in literature, usually based on several analytical equations and optimization techniques. The need to estimate network parameters in terms of roughness and local parameters of pressure and leakage relations for systems subject to relevant leakage can be recognized. An iterative Calibração de um Modelo de rede de Distribuição de Água para um Setor de Abastecimento Real Contemplando Vazamentos 54 two-step calibration method is proposed here, in which the GAs (genetic algorithms) are used as a tool to resolve corresponding inverse problems, whose results prove robust to identify roughness, sections with valves and leakage model parameters.

Calibração de um Modelo de Rede de Distribuição de Água para um Setor de Abastecimento Real Contemplando Vazamentos