Optimal Allocation of Chah-Nimeh Water Resources with an emphasis on Dust Stabilization Scenario: Application of Genetic Algorithm

One of the main challenges hindering optimal water resources management is the problem of optimal exploitation of dam reservoirs. Different methods have been used for optimization problems, but since conventional optimization methods are unable to solve complicated optimization problems, the metaheuristic algorithms are increasingly focused on. As such, the present study uses a genetic metaheuristic algorithm for optimizing Chah-Nimeh water wells of the Sistan region. The main objective is to optimally allocate the water of Chah-Nimeh reserves to users in the Sistan region using a genetic algorithm in the context of managerial scenarios with an emphasis on the scenario of dust stabilization. The results of the genetic algorithm show that in the first year, the optimal discharge rate is 20.3531 million m3 and the demand is 98.3121 million m3, so 77.959 million m3 of the demand is unsatisfied. The results reveal that the genetic algorithm could give a proper optimal answer. Furthermore, it is found that in dust stabilization scenario, shortly after the implementation of the scenario, the discharge will not be possible for the agricultural sector anymore (by 2010).