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

Abstract

Chapter 2 Upper Chao Phraya River Basin and reservoirs 19 Chapter 3 Data, models and performance criteria 29 Chapter 4 Distributed hydrological modelling with global datasets 55 Chapter 5 Hydrological effects of reservoir operation 77 Chapter 6 Machine learning for reservoir operation modelling Chapter 7 Reforecasting real-time reservoir operation and outflow Chapter 8 Synthesis Appendices References Statement of authorship contribution Acknowledgements About the author Graduate school certificate xi development and application opportunities. The future development of reservoir operation modelling lies in the integration of process-based and data-driven models. (iii)Reservoir construction and operation should be based on experience with previously built reservoirs, considering the balance of their lifetime benefit and negative impacts. This thesis is beneficial for sustainable planning and management of reservoir operation in the upper GCPR basin in light of the 20-year National Water Resource Management Master Plan for the 2018-2037 period. It is also applicable at the national level and for neighboring countries in Southeast Asia, which are hot spots for new reservoir construction.