GIS-based groundwater spring potential mapping in the Sultan Mountains (Konya, Turkey) using frequency ratio, weights of evidence and logistic regression methods and their comparison

摘要: Summary In this study, groundwater spring potential maps produced by three different methods, frequency ratio, weights of evidence, and logistic regression, were evaluated using validation data sets compared to each other. Groundwater occurrence in the Sultan Mountains (Konya, Turkey) constructed relationship between locations their causative factors. identified study area from a topographic map. Different thematic area, such as geology, topography, geomorphology, hydrology, land use/cover, have been used identify zones. Seventeen spring-related parameter layers entire generate maps. These are geology (lithology), fault density, distance fault, relative permeability lithologies, elevation, slope aspect, steepness, curvature, plan profile wetness index, stream power sediment transport capacity drainage drainage, precipitation. The predictive capability model was determined under operating characteristic curve. areas curve for evidence regression methods calculated 0.903, 0.880, 0.840, respectively. results indicate that ratio models relatively good estimators, whereas is poor estimator mapping area. simple; process input, calculation output can be readily understood. serve planners engineers development plans land-use planning.