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• W3206461034 endingPage "100939" @default.
• W3206461034 startingPage "100939" @default.
• W3206461034 abstract "The Sirikit Dam in the Nan River Basin is located on a main tributary of the Chao Phraya River in Thailand. This study investigates forecasting river flows and real-time optimization of dam release using a distributed hydrological model with ensemble weather forecasting for reservoir operations which provide hydropower and irrigation facilities in Thailand during a case study of the 2019 drought event. Medium-range ensemble precipitation forecasts were employed using a hydrological model to predict the real-time reservoir inflow. Real-time optimization of the water release strategy determined a week in advance with an effective initial condition for hydropower generation and irrigation was conducted with different scenarios using dynamic programming considering inflow predictions. The medium-range ensemble precipitation forecast conducted by the European Centre for Medium Range Weather Forecasts was used to quantify precipitation for the study basin. The ensemble precipitation forecast with the hydrological model was employed for inflow prediction of the study basin which was located in a tropical climate with a distinct wet and dry season. The initial conditions of the hydrological model largely influenced the real-time inflow forecast. To determine the initial conditions of the model, the empirical data assimilation considering a drainage area factor was utilized and observed precipitation data were used for model input forcing data during the initial analysis period. This method improved the reservoir inflow prediction and real-time reservoir optimization using dynamic programming with considering ensemble forecasts provided more efficient operating decisions than employing historical data. The resulting information will be useful for water resource management, which may be adapted to other basins in the study region. • The ensemble precipitation forecast was employed for real-time inflow prediction. • Data assimilation procedure was applied to determine the model’s initial condition. • The effect of initial conditions on inflow forecast results was examined. • Real-time reservoir optimization considering ensemble forecasts was conducted. • Considering forecast information provided more efficient operating decisions." @default.
• W3206461034 created "2021-10-25" @default.
• W3206461034 creator A5035597937 @default.
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• W3206461034 date "2021-12-01" @default.
• W3206461034 modified "2023-10-12" @default.
• W3206461034 title "Real-time optimization of a large-scale reservoir operation in Thailand using adaptive inflow prediction with medium-range ensemble precipitation forecasts" @default.
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• W3206461034 doi "https://doi.org/10.1016/j.ejrh.2021.100939" @default.
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