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Optimal Operation of Reservoirs Considering Water Quantity and Quality Aspects: A Systematic State-of-the-Art Review

Author

Listed:
  • Mahta Nazari

    (University of Tehran)

  • Reza Kerachian

    (University of Tehran)

Abstract

Researchers have been placing greater emphasis on improving the operating policies of multi-purpose reservoirs in recent years. This emphasis has addressed various issues, including water supply to demands, energy production, water quality management, and flood risk reduction. This paper uses the meta-analysis method (PRISMA) for article selection and systematic review of papers focusing on water quality management in reservoirs using simulation-optimization models. After conducting a comprehensive search, 42 papers were selected for in-depth review. This paper offers an in-depth examination of various coupled simulation and optimization models used for optimal reservoir operation, focusing on addressing water quality concerns. The findings reveal a significant preference among researchers for using genetic algorithms (GA) (55%) and multi-objective particle swarm optimization (MOPSO) (30%) for optimizing reservoir operating policies. Moreover, the analysis highlights that most (81%) of the reservoir water quality simulation models employed in these papers are one-dimensional or surrogate models. These simulation models are favored for their shorter simulation time compared to two-dimensional models. The review identifies existing gaps and proposes future directions for advancing this field. For instance, there is an opportunity to enhance both inflow prediction accuracy and reservoir water quality predictions by exploring diverse data obtained from remote sensing, unmanned aerial vehicles (drones), unmanned underwater vehicles, and numerical weather prediction models. The obtained data from different sources can be fused using artificial intelligence techniques to improve their accuracy.

Suggested Citation

  • Mahta Nazari & Reza Kerachian, 2024. "Optimal Operation of Reservoirs Considering Water Quantity and Quality Aspects: A Systematic State-of-the-Art Review," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(15), pages 5911-5944, December.
  • Handle: RePEc:spr:waterr:v:38:y:2024:i:15:d:10.1007_s11269-024-03952-3
    DOI: 10.1007/s11269-024-03952-3
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    References listed on IDEAS

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    1. Ashkan Shokri & Omid Bozorg Haddad & Miguel Mariño, 2014. "Multi-Objective Quantity–Quality Reservoir Operation in Sudden Pollution," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(2), pages 567-586, January.
    2. Motahareh Saadatpour, 2020. "An Adaptive Surrogate Assisted CE-QUAL-W2 Model Embedded in Hybrid NSGA-II_ AMOSA Algorithm for Reservoir Water Quality and Quantity Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(4), pages 1437-1451, March.
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    4. Behrang Beiranvand & Parisa-Sadat Ashofteh, 2023. "A Systematic Review of Optimization of Dams Reservoir Operation Using the Meta-heuristic Algorithms," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(9), pages 3457-3526, July.
    5. Sadegh Vanda & Mohammad Reza Nikoo & Narges Taravatrooy & Ghazi Ali Al-Rawas & Seyed M. K. Sadr & Fayyaz A. Memon & Banafsheh Nematollahi, 2023. "A Novel Compromise Approach for Risk-Based Selective Water Withdrawal from Reservoirs Considering Qualitative-Quantitative Aspects," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(12), pages 4861-4879, September.
    6. Mahboubeh Khorsandi & Parisa-Sadat Ashofteh & Firoozeh Azadi & Xuefeng Chu, 2022. "Multi-Objective Firefly Integration with the K-Nearest Neighbor to Reduce Simulation Model Calls to Accelerate the Optimal Operation of Multi-Objective Reservoirs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(9), pages 3283-3304, July.
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