Using of Invasive Weed Optimization Algorithm and Genetic Algorithm for Optimization of Conjunctive Operation of Tazeran Dam

Authors

1 Student department of Agriculture, Department of Water Engineering, University of Zanjan, Iran.

2 Assistant professor department of water engineering university of zanjan

3 Department of Water Science Engineering, Faculty of Agriculture, Bu-Ali Sina University, Hamedan, Iran.

Abstract

One of the most important issues in water resources management, is the optimal operation of dam reservoirs. In this research metaheuristic invasive weed optimization algorithm was used to find optimal water allocation strategies for a period of 10 years in Tazeran dam that located in the west of Iran. The developed model in this research is provided for optimal operation in the present state of cropping pattern. The downstream field of Tazeran dam are divided into two zones consist of Tazeran and Evandeh. The defined objective function is to minimize total deficiencies during the simulation period. In order to investigate the reservoir performance indicators of time reliability, percentage to provide volume and vulnerability is used. The results of IWO algorithm also compared with the results of the Genetic algorithm method. Due to the inadequate and inappropriate distribution of Tazeran river flow, simulations have been done in two states, use of surface water flows alone and the combination of surface and underground water flow. Result shows that using IWO and GA method and use of surface and ground water simultaneously, Tazeran dam is able to provide 77.2% and 76.24% of the total downstream of water requirement. Also, reliability and vulnerability indicators in Tazeran region are 55.45% and 33%, respectively, in the IWO method and 52.72% and 41% in the GA method.

Keywords

References

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Irrigation and Water Engineering
Volume 9, Issue 3 - Serial Number 35
January 2019
Pages 113-124

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