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An artificial intelligence-based model for optimal conjunctive operation of surface and groundwater resources
Saeid Akbarifard1,2, Mohamad Reza Madadi3, Mohammad Zounemat-Kermani4
1Department of Water Engineering, Faculty of Civil and Surveying Engineering, Graduate University of Advanced Technology, P.O. Box 76315116, Kerman, Iran. s.akbarifard@kgut.ac.ir.
Nature Communications
|January 16, 2024
Summary
A new hybrid model optimizes surface and groundwater resource management, achieving over 99% demand satisfaction and the highest sustainability index. This advanced simulation-optimization approach outperforms existing methods for reliable water resource conjunctive operation.
Area of Science:
- Environmental Science
- Water Resource Management
- Computational Intelligence
Background:
- Integrated management of surface and groundwater resources is crucial for water security.
- Existing simulation-optimization models face limitations in efficiency and sustainability.
- Metaheuristic algorithms offer potential for complex optimization problems.
Purpose of the Study:
- To develop a novel hybrid simulation-optimization model for optimal conjunctive operation of surface and groundwater resources.
- To enhance the efficiency and sustainability of water resource management policies.
- To compare the performance of the proposed model against existing first-level models.
Main Methods:
- A second-level hybrid model was developed by integrating the Moth Swarm Algorithm and Symbiotic Organization Search Algorithm.
- The hybrid metaheuristic was coupled with an Artificial Neural Network simulator.
- The model's efficiency was assessed by comparing its results with two first-level simulation-optimization models.
Main Results:
- The proposed hybrid model reliably supplied over 99% of total demands in the study regions.
- The developed model demonstrated superior efficiency compared to the two first-level models.
- The highest sustainability index was achieved by the proposed model, confirming its effectiveness.
Conclusions:
- The hybrid simulation-optimization model offers a superior approach for the conjunctive operation of surface and groundwater resources.
- The model's ability to meet high demand percentages and achieve a high sustainability index highlights its practical applicability.
- This research confirms the supremacy of the developed second-level model over previously developed models in water resource management.
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