Optimization of Water Delivery Schedule in Reduced Allocation Scenarios of Zarinehroud Irrigation Network Using PSO Algorithm

Optimization of operational performance in irrigation networks is essential for increasing water consumption efficiency in Urmia Lake Basin and its restoration. Various optimization algorithms have been developed. In this research, PSO algorithm with the ability of swarm intelligence and convergence speed was used to optimize the water delivery schedule of Zarinehroud left bank Irrigation Network in two reduced water allocation scenarios. The first scenario follows the Urmia Lake Restoration Plan (ULRP) based on the reduction of agricultural water consumption by 40%; and the second scenario focuses on the delivery of 70% to 90% of network water demand. Suitable values of model parameters have been determined by sensitivity analysis, and used in the modeling of two scenarios. Results of the first scenario indicated that, with supplement of 66% of water demand, the feasibility of 9% increase in water efficiency, 30% and 38% increase in the stability and adequacy indices can be achieved, respectively. In the second scenario, with 82% supply of water demand; the efficiency, stability and adequacy indices could be increased by 25%, 32% and 42%, respectively. The second scenario is recommended due to the gradually reduction of water allocation and greater values of the performance indices, while preserving the dependability and trust of water-users in the Zarinehroud irrigation network.