A basic analysis for flood control of small rivers and securing water resources under post disaster condition by using optimized control of reservoirs

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In the present study, we developed methods, algorithms and computer systems which reduce floods in urban area by optimizing the releasing discharge from smaller reservoir. Specifically, we developed hydrological simulators based on distributed hydrological model in which rainfall information from radar with some extent of error which was quantitatively utilized for giving probabilistic flood forecasting. Then, an optimized method was applied for flood control using reservoir with stochastic flood forecast. First, a probabilistic method for short term rainfall forecast was achieved by using radar echo extrapolation method with singular vector for making probabilistic ensembles. Then, a hydrological model which also deals with probabilistic spread based on generalized likelihood uncertainty estimation (GLUE). Second, an optimized control algorithm using Dynamic Programming has been applied for flood control by using reservoir. In the present study, we use Stochastic Dynamic Programming (SDP) for dealing with weekly ensemble weather forecasting issued from Japan Meteorological Agency (JMA). In the SDP, objective function was minimizing the water level at a point in lower river basin. The result of the SDP with weekly ensemble weather forecasting made water level reduced and the objectives of the present study has been achieved.