Applying Maximum Entropy algorithm (MAXENT) in Groundwater potential mapping, Case study: Hamedan-Bahar Plain

Considering the limited amount of underground water resources beside the increasingly need for water in different areas, to provide sufficient amount of water, seems to be a must for permanent development. It is estimated that one way to enhance the traditional methods and their management is determining the areas with potential underground water resources. As the traditional and manual methods are extremely time-consuming and needs excessive human efforts, in this study maximum antropy algorithm done by MaxEnt is used to find the potential underground resources of water in Bahar plain - Hamedan provenance. It has been illustrated by this paper that 27.2 all areas there are capable of having underground water resources, in addition based on jacnaif graph , Dem variables, water search thickness and geological considerations are the most important factors in the process of estimating the potential areas and the model has its maximum sensitivity toward them .It is illustrated by the research results that this model has a satisfactory accuracy in the process of finding the underground water resources with 0.83 accuracy rate . It is believed by the researcher that this paper could help planners and be a great aid for future development in the way underground water resources could efficiently be used.