An integrated reservoir operation framework for enhanced water resources planning

Area of Science:

• Environmental Science
• Hydrology
• Water Resource Management

Background:

• Climate change alters global water availability, challenging existing water infrastructure design criteria.
• Current reservoir operation rules may become obsolete, leading to mismanagement under climate change scenarios.
• Existing simulation-optimization schemes inadequately address climate change uncertainties in reservoir operations.

Purpose of the Study:

• To identify limitations of current reservoir operation rules under climate change.
• To develop a revised, adaptive reservoir operation framework addressing future supply-demand uncertainty.
• To integrate environmental flow assessments for improved water quality and aquatic ecosystem support.

Main Methods:

• Integrated modeling approach combining Soil and Water Assessment Tool (SWAT) for hydrology, HEC-ResSim for hydraulics, and Genetic Algorithm (GA) for optimization.
• Development of an adaptive reservoir operation framework to handle future supply-demand uncertainties.
• Inclusion of a novel environmental flow assessment method into the reservoir operation strategy.

Main Results:

• The developed SWAT-HEC-ResSim-GA framework effectively accounts for future supply-demand uncertainty.
• The adaptive operation scheme demonstrated improved performance for the Kangsabati reservoir.
• Achieved time and volume reliability estimates of 0.631 and 0.736, respectively, under baseline and future climate scenarios (RCP 4.5 and 8.5).

Conclusions:

• The integrated adaptive reservoir operation framework offers a robust solution for managing water resources under climate change.
• The approach is suitable for hydrologic characterization in complex reservoir catchment-command regions.
• This methodology provides enhanced reservoir planning capabilities for global water management challenges.