Application of Frequency Ratio, Weights of Evidence and Multi Influencing Factors models for groundwater potential mapping using GIS

Groundwater resource is a very important water resource that has stable temperature, clear, tidy and confident. In recent years, population growth, industrialize and need to food and water, have exposed the groundwater resource on the risk. Reduction of water resources is a main problem in throughout the world. In this research groundwater potential mapping was obtained in Norabad plain, Lorestan, Iran. Twelve parameters were selected, and used as the input data. The parameters influencing in potential groundwater mapping in the study area were altitude, slope aspect, slope angle, plan curvature, Topographic Wetness Index (TWI), land use, soil, lithology, drainage density, distance from river, fault density and fault distance. Then, 106 wells with productivity higher than 10 (m3/s) were mapped in ArcGIS 10.2. Subsequently, 70% of groundwater dataset (74 wells) were selected randomly as training and 30% remaining (32 wells) as testing data set. Then groundwater potential maps were created using frequency ratio (FR), Weights of Evidence (WoE) and Multi Influencing Factors (MIF) models in ArcGIS 10.2. The final map of groundwater potential for FR, WoE and MIF model was classified into five classes (very low, low, moderate, high and very high) using quantile method. Finally, ROC (Receiver Operating Characteristic) curves obtained for validation of FR, WoE and MIF models using SPSS 19. Subsequently, Area under curves (AUC) was calculated. The AUC values of FR, WoE and MIF models were almost the same and set in the excellent class. Hence, the provided mapping of groundwater potential in this area is a reliable tool for planning in future.