Determination of Groundwater Susceptibility Areas using SI, WOE and Shannon models (Case study: Isfahan Lenjanat)

Identification of groundwater potential areas as one of the important sources for drinking water supply, agriculture, ecological diversity and various industries is one of the important and necessary issues in the management of water resources of any country, especially developing countries. In this study, a groundwater zoning map was presented to manage and plan groundwater resources using WOE, SI and Shannon models in ArcGIS10.5 in this area. For this purpose, the geographical location of 624 wells with a flow rate of more than 10 cubic meters per second in the region were divided into two groups: calibration (70%) and validation (30%). In implementing all three models, the effective parameters in groundwater potential identification include: height, slope, slope direction, land curvature, geology, land use, soil science, topographic moisture index, distance from fault, fault density, waterway density and Distance from the area waterway was used. Also, the ROC curve in SPSS software was used to validate the results of the models. The highest accuracy for this region was assigned to the statistical index model, the AUC value for this model is 84.5%, followed by evidence weight models with 81.6% and Shannon entropy with 80.6%, respectively. More than 60% of the area has moderate to very high groundwater potential. The statistical index model is more appropriate and accurate for this region. Determining areas with high groundwater potential using these methods is appropriate for implementing management programs.