Optimal Water Scheduling in Irrigation Networks Using Genetic Algorithm

Document Type : Original Article

Authors

1 Associate Professor, Dept. of Hydraulic Structures, Faculty of Agriculture, The University of Tarbiat Modares, Tehran, Iran.

2 Assistant Professor, Dept. of Irrigation and Reclamation Engineering, Faculty of Soil and water Engineering, Campus of Agriculture and Natural Resources, Tehran University, Karaj, Iran

3 Former Graduated Student, Dept. of Irrigation and Reclamation Engineering, Faculty of Soil and water Engineering, Campus of Agriculture and Natural Resources, Tehran University, Iran.

Abstract

The development of water delivery schedules in irrigation canals is mostly performed on the basis of hueristic methods and personal judgment. However, the great impact of water delivery schedules on the performance of systems has recently called for analytical methods to be considered. Analythical methods used so far are mostly single objective. Only one study has considered a multi-objective approach using simulated annealing optimization techniques. In this research the genetic algorithm is used and a model has been developed accordingly. In this model an optimal water delivery schedule for lateral intakes is developed such that different objectives of canal capacity and/or delivery periods are optimized. In this model the number of lateral intakes, their delivery flow limits, and coverage areas are given and a optimal water delivery schedule for the distributary canal is determined. The model is applied on one of the secondary canals of Fomanat Irrigation Network in west Gilan Province, Iran. For this purpose, two objective functions and two options for irrigation blocks including 6 and 7 groups of lateral intakes, totally 4 variants, are tested. The model has derived the optimal water delivery schedule for each variant. Considering the management strategies, the best option could be selected.The results show the ability of the developed model as an efficient tool for water management in irrigation canals.

Keywords

References

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Iran-Water Resources Research
Volume 3, Issue 1
June 2007
Pages 1-11

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History

  • Receive Date: 17 May 2005
  • Revise Date: 10 June 2007
  • Accept Date: 30 June 2007

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