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Item Metadata only Comparative assessment of groundwater recharge estimation using physicalbased models and empirical methods in Upper Greater Mae Klong Irrigation Project, Thailand(2022-07-01) Phankamolsil Y.; Rittima A.; Teerapunyapong P.; Surakit K.; Tabucanon A.S.; Sawangphol W.; Kraisangka J.; Talaluxmana Y.; Vudhivanich V.; Mahidol Universityin the Upper Greater Mae Klong Irrigation Project. Materials & Methods: Two physical-based models (WetSpass and SWAP) were used to estimate groundwater recharge and the outcomes were compared with the results from empirical and water balance-based methods.... Groundwater recharge modelling was investigated based on model type, data requirements, model complexity, model adaptability and model performance. Results: The average annual recharges estimated using the WetSpass and SWAP models were 183.59 mm/yr and 133Item Metadata only Multiple reservoir optimization using constraint programming for water scarcity resilience in the Chao Phraya River Basin(2026-05-01) Sawangphol W.; Rittima A.; Phankamolsil Y.; Kraisangka J.; Tabucanon A.S.; Talaluxmana Y.; Vudhivanich V.; Sawangphol W.; Mahidol Universityaccomplished by CP models could closely replicate current operation. Moreover, both models could increase the end–of–wet–season storage in the reservoir system by 2,712 and 1,265 MCM/yr, respectively, to potentially supply overplanting during the dry season... deep reinforcement learning, non–linear programming, and adaptive neuro fuzzy inference system in view of increasing the long–term end–of–wet season storage levels of two main storage dams, achieving + 15.73% and + 16.36% for Bhumibol and Sirikit DamsItem Metadata only Constraint programming for reservoir operation optimization of Bhumibol dam(2024-06-01) Sawangphol W.; Kraisangka J.; Rittima A.; Phankamolsil Y.; Tabucanon A.S.; Talaluxmana Y.; Vudhivanich V.; Sawangphol W.; Mahidol Universitywas conducted to characterize the actual operation and physical reservoir system of BB Dam. Two different CP models with seasonal and yearly constraints were manipulated using MiniZinc programming language and the constraint solver IPOPT to find the optimal.... The results reveal that CP models can diminish some extent of yearly reservoir release, while daily long-term release scheme conforms well with the actual operation particularly during dry and wet seasons in specific drought years. These mean that amountItem Metadata only Deep reinforcement learning for multiple reservoir operation planning in the Chao Phraya River Basin(2025-04-01) Phankamolsil Y.; Rittima A.; Sawangphol W.; Kraisangka J.; Tabucanon A.S.; Talaluxmana Y.; Vudhivanich V.; Phankamolsil Y.; Mahidol Universityflood occurrences during wet season. Simulation results from 2009 to 2022 indicate that DRL–DDPG-based algorithm can perform well in solving sequential decision problems for optimal operation of multiple reservoir system to achieve the desired water...This study demonstrates application of Deep Deterministic Policy Gradient (DDPG)-based algorithm to provide comprehensive and flexible plans for reservoir operation planning of the multiple reservoir system in the Chao Phraya River Basin (CPYRBItem Metadata only Assessing Reservoir Reoperation Performances through Adapted Rule Curve and Hedging Policies under Climate Change Scenarios: In–depth Investigation of Case Study of Bhumibol Dam in Thailand(2022-07-01) Kyaw K.M.; Rittima A.; Phankamolsil Y.; Tabucanon A.S.; Sawangphol W.; Kraisangka J.; Talaluxmana Y.; Vudhivanich V.; Kyaw K.M.; Mahidol University, applying two–point, three–point, and zone–based hedging for reservoir reoperations exhibit high potential to significantly increase reservoir water storage in dry and wet seasons. The simulation results also show that even hedging policy provides good... of dam operation system in meeting target water demand, which is worse than the current case due to the declined pattern of reservoir inflow. Therefore, optimal reoperation with optimization–based approach is highly suggested in maximizing the multiple