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Water Resources Management

, Volume 32, Issue 5, pp 1675–1687 | Cite as

Optimizing Irrigation Deficit of Multipurpose Cascade Reservoirs

  • Muhammad Usman Rashid
  • Abid Latif
  • Muhammad Azmat
Article
  • 168 Downloads

Abstract

Reservoirs play a strategic role in the rapid monetary growth of the world by providing numerous benefits. However, the reduction in appropriate sites along with environmental and social apprehensions has resulted in curtailment of new reservoirs around the world in twenty-first century. There is a potential of benefits available from existing reservoirs which can be best capitalized through their optimized operation. Reservoirs Operation Optimization considering Sediment Evacuation (RESOOSE), recently developed model which combines multiple reservoirs operation and sediment evacuation with Genetic Algorithm based optimization module, has been used in the study. The objective of the study was to optimize the irrigation deficit through cascade reservoirs with consideration to hydropower, sediment evacuation and flood damages reduction benefits. The RESOOSE model was applied to optimize the irrigation deficits of Tarbela and Diamer Basha Reservoirs in Pakistan using developed objective function. The article computed and compared the benefits of optimized and existing rule curves. The hydropower benefits of 36.92 Billion Kw, sediment evacuation benefits of 21.534 Million m3 and flood damages of 616.19 Million US$ due to existing rule curves were considered as minimum benefits for achieving the optimized rule curves to minimize irrigation deficits. The developed optimized rule curves reduced the irrigation shortages of case study reservoirs from 6.9 to 5.8 Billion m3 (16% enhancement) annually as compared to existing rule curves. The optimized rule curves minimized the irrigation deficits by maintaining the existing benefits and without lowering the minimum operating levels of case study reservoirs. The study suggests change in existing rule curves of Tarbela and Diamer Basha Reservoirs due to less irrigation shortages. The RESOOSE model can be applied to other cascade reservoirs for optimizing the rule curves.

Keywords

Tarbela Diamer Basha Optimization Multi-objective Genetic Algorithm RESOOSE Model Irrigation Deficit 

Notes

Acknowledgements

An initial shorter version of the paper has been presented at the 10th World Congress of EWRA “Panta Rhei”, Athens, Greece, 5-9 July, 2017.

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Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  • Muhammad Usman Rashid
    • 1
  • Abid Latif
    • 2
  • Muhammad Azmat
    • 3
  1. 1.Department of Civil Engineering, School of EngineeirngUniversity of Management and TechnologyLahorePakistan
  2. 2.Department of Civil Engineering, University College of Engineering and TechnologyBahauddin Zakariya UniversityMultanPakistan
  3. 3.Institute of Geographical Information Systems, School of Civil and Environmental EngineeringNational University of Sciences and Technology (NUST)IslamabadPakistan

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