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Modelling and forecasting daily streamflow with reservoir operation in the upper Chao Phraya River basin, Thailand

  • 21 February, 2023
  • 16:00
  • Wageningen University, Hydrology and Quantitative Water Management
  • prof.dr. A.H. R. Uijlenhoet
  • C.C. Brauer

This PhD thesis explores simulation-based reservoir operation models by maximizing the use of available data (from in-situ to global) and available modeling techniques (process-driven and data-driven). The research includes model developments, performance examinations and applications. The (process-driven) wflow_sbm model was used to investigate the model realism in representing reservoir operations and was applied to quantify effects of reservoir operations on the daily streamflows. The (data-driven) machine learning models was used to investigate the roles of available reservoir-related data as their inputs to estimate the daily reservoir outflow, and thus the model accuracy. It was also applied to improve the simulation and multi-step reforecast of the daily reservoir outflow using global forecast data. This thesis focuses on major, multi-purpose and over-year storage reservoirs in the Greater Chao Phraya River Basin in Thailand. Its findings can enhance the understanding of reservoir operations, their effects and their modeling to support reservoir operators.


Chanoknun Wannasin

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