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An improved MOPSO algorithm for multi-objective optimization of reservoir operation under climate change.

Mahsa Mansouri¹, Hamid R Safavi², Farshad Rezaei¹

¹Department of Civil Engineering, Isfahan University of Technology, Isfahan, Iran.

Environmental Monitoring and Assessment

|March 8, 2022

Summary

Climate change impacts water resource management. This study optimizes reservoir operations using a new fuzzy multi-objective particle swarm optimization (f-MOPSO-II) algorithm to minimize water shortages and maximize storage sustainability.

Keywords:

Change factor Climate change HEC-HMS Multi-objective optimization Reservoir operation f-MOPSO

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Area of Science:

Environmental science
Water resource management
Climate change adaptation

Background:

Traditional reservoir management strategies are failing due to changing climatic conditions.
Future water resource management requires models adaptable to climate change.
Optimizing reservoir operations is crucial for water security.

Purpose of the Study:

To develop and evaluate an optimized reservoir operation strategy under climate change scenarios.
To minimize water demand shortages and maximize reservoir storage sustainability.
To introduce an improved optimization algorithm for complex water resource challenges.

Main Methods:

Utilized six general circulation models (GCMs) under the RCP4.5 emission scenario for climate change prediction.
Developed an enhanced fuzzy multi-objective particle swarm optimization algorithm (f-MOPSO-II).
Compared the performance of f-MOPSO-II against the non-dominated sorting genetic algorithm-II (NSGA-II).

Main Results:

The f-MOPSO-II algorithm demonstrated superior performance in optimizing reservoir operations.
f-MOPSO-II effectively balanced the dual objectives of meeting water demands and ensuring storage sustainability.
The new algorithm showed significant improvements over NSGA-II in handling multi-objective optimization problems.

Conclusions:

The f-MOPSO-II algorithm offers a robust solution for reservoir operation optimization under climate change.
Effective water resource management requires adaptive strategies informed by climate projections.
This research provides a valuable tool for enhancing water security in a changing climate.