Providing a Model for Optimizing the Allocation of Land Use for Virtual Water Storage by Using the Meta- Heuristic Algorithms

Today, one of the limitations of water resources is the solutions weakness of water resource management. One of the management solutions to improve the problem above is the optimal allocation of users with the virtual water approach. In the present study, a model for optimization of user allocation with a virtual water storage approach is provided with using of genetic algorithms (NSGA-II, GA) in HAJILAK lands, located in the city of BUKAN in the West AZARBAIJAN province. After the preparation of the land use layer in the GIS and the preparation of target function coefficients, the user allocation with using meta-heuristic algorithms, is optimized with particular attention to virtual water. The results show that the suggested user patterns in the GA and NSGA-II algorithms, respectively, increased the storage of virtual water at an optimum of 29% and 35%. This model, as the decision support system, can play an effective role in deciding managers for different purposes. Also, the repeatability, runtime, and convergence of algorithms in the model indicate the superiority of the NSGA-II algorithm than GA. So that NSGA-II algorithm has less time in executing model, more convergence and less variance in the repeatability test than GA algorithm. This model can act as a decision support system to play an effective role in decision makers based on different goals. In this research, the use of meta- heuristic algorithms to optimize the allocation of users with the virtual water approach can be expressed in the thematic innovation of this research.