Development of a hybrid model to reduce water loss in dams reservoir operation

Document Type : Research Paper

Authors

1 Department of Water Engineering, Faculty of Agriculture Technology, College of Agriculture and Natural Resources, University of Tehran, Iran.

2 Department of Water Engineering, Faculty of Agriculture Technology, College of Agriculture and Natural Resources, University of Tehran, Iran

10.22059/jwim.2024.377070.1162

Abstract

One of the most important sources of water loss in reservoirs is controlling reservoir efficiency indicators, water deficit, and losses through evaporation and seepage. In this study, in the first step towards formulating operational policies, the SOP model of Pishin dam located in Sistan and Baluchestan Province during the years 1390 to 1397 was developed. Subsequently, to identify optimal release values in operational policies, the Generalized Reduced Gradient (GRG) extended to standard operational policy (SOP) and averaging method. Thus, hybrid optimization-simulation models of Generalized Reduced Gradient-Standard Operational Policy (GRG-SOP) and Generalized Reduced Gradient-Standard Operational Policy-Averaging (GRG-SOP-AVE) were developed. In this study, indicators of water losses (evaporation and seepage), deficit, and reservoir efficiency indices for the GRG-SOP, GRG-SOP-AVE policies, and current operation were estimated to identify the best operating policy. The results reveal that the operating policy derived from the GRG-SOP-AVE model leads to a reduction in the values of deficit, evaporation and seepage indicators by 35.32 MCM/yr, 10.74 MCM/yr, 0.002 MCM/yr, respectively. Additionally, the indicators of reliability, resilience, vulnerability, and flexibility have improved by 67.58%, 24.59%, 31.69%, and 11.35% respectively compared to other policies. Therefore, it is suggested to utilize the policy derived from the GRG-SOP-AVE model in other dams to reduce seepage, evaporation, and deficit indicators.

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References

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Water and Irrigation Management
Volume 14, Issue 3
December 2024
Pages 681-696

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