Abstract
The high level of reliability of water resources is always an advantage for consumers, but in arid and semi-arid regions where the inflow to the reservoir is faced with severe fluctuations, it makes sense to decrease the percentage of reliability of the system and allocate less water to consumption zones to prevent critical conditions such as emptying of the reservoir. In this research, the employed operation model is based on the simulation–optimization combination by considering the objectives of minimizing the violation of the allowed capacity of the reservoir and maximizing the percentage of supplying the demands. The optimal hedging variables are specified by linking the WEAP (Water Evaluation and Planning System) to the MOPSO multi-objective optimization algorithm. According to the available data, the duration of the simulation and optimization period in the model is 360 months. After 1000 iterations, the optimal reservoir volume values are obtained at the hedging level and hedging coefficient in different months. Finally, the model results are compared with the results obtained from the standard operation policy (SOP). The results show that the proposed model is able to manage the allocation to needs in the dry months and prevent the reservoir from emptying. Also, by storing a part of the flow in the reservoir in watery months and consuming it in low water months, it increases the supply of needs by 20 to 35% and reduces the failure rate in dry months.
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All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Sedighe Mansouri, Hossein Fathian, Alireza Nikbakht Shahbazi, Mehdi Asadi Lourm, and Ali Asareh. The first draft of the manuscript was written by Hossein Fathian and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Mansouri, S., Fathian, H., Nikbakht Shahbazi, A. et al. Multi objective simulation–optimization operation of dam reservoir in low water regions based on hedging principles. Environ Sci Pollut Res 30, 41581–41590 (2023). https://doi.org/10.1007/s11356-022-25089-9
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DOI: https://doi.org/10.1007/s11356-022-25089-9