Quantitative Model of Optimal Conjunctive use of Mahabad Plain’s Surface and Underground Water Resources

Document Type : Research Article

Authors

1 Faculty of Engineering, Islamic Azad University, Khoy Branch, Khoy, Iran

2 Faculty of Engineering, Islamic Azad University, Mragheh Branch, Maragheh, Iran

Abstract

According to available information and the population growth as well as the ever-increasing development of agriculture, there is an upward trend in withdrawals from surface water and groundwater resources in different regions of the country such as Mahabad to provide water demand for the region. The optimal conjunctive use of surface and groundwater resources is one way to providing the water demands in crisis and drought situations. In this study, a management model based on effective techniques of optimization and simulation has been developed to solve the optimization problem. Variation of groundwater table level in Mahabad plain was simulated using GMS software initially. Then based on the results of this simulation, artificial neural network was trained to use in simulate- optimization system. Genetic algorithm was used to solve the optimization problem. The results indicate that this model is powerful and effective for solving large-scale problems and optimal conjunctive use of surface water and groundwater resources of Mahabad. Based on the results of the research and running of the model, the approximate share of water supply of water resources, is respectively 13.5 and 86.5 percent of surface water and groundwater resources.

Keywords

Main Subjects


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