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
Issued Date
2022-07-01
Resource Type
eISSN
27304175
Scopus ID
2-s2.0-85186248373
Journal Title
Engineering Access
Volume
8
Issue
2
Start Page
179
End Page
185
Rights Holder(s)
SCOPUS
Bibliographic Citation
Engineering Access Vol.8 No.2 (2022) , 179-185
Suggested Citation
Kyaw K.M., Rittima A., Phankamolsil Y., Tabucanon A.S., Sawangphol W., Kraisangka J., Talaluxmana Y., Vudhivanich V. 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. Engineering Access Vol.8 No.2 (2022) , 179-185. 185. doi:10.14456/mijet.2022.23 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/97921
Title
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
Corresponding Author(s)
Other Contributor(s)
Abstract
The adaptation measures on water resources management through the forecast–based dam and reservoir reoperation have been intensively introduced to reduce the persistence of disaster risk and enhance water supply reliability. In this study, reoperating the Bhumibol (BB) dam with adapted rule curve and hedging policy as well as modelling exercise with MIKE11 to generate series of reservoir inflow was conducted. Five periods of the projected inflow of BB dam were then generated; 2000– 2020 (baseline), 2021–2040, 2041–2060, 2061–2080 and 2081–2099 based on the simulation of EC–EARTH under RCP4.5. The water balance–based reservoir reoperation model for current and projected incidents was established using MATLAB Simulink Toolbox to explore the operational performances in terms of reliability, vulnerability and resiliency indices. The simulation results show considerable changes in the seasonal and annual patterns of reservoir inflow, which are key factors influencing the complexity and effectiveness of reservoir management in both the current and future operations. Additionally, the percentage increase in water storage after re-operating with all scenarios of adapted rule curve are not much deviated in comparison with the observed results. However, 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 results in raising water storage in the reservoir. However, effectiveness of operational performance is apparently lower than those scenarios performed by adapted rule curve. All the performance indices for the future case signify level of incapability 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 benefits of dam and reservoir systems and coping with climate variability.