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

• Published in: Journal of hydrology (Amsterdam) Vol. 411; no. 3; pp. 290 - 308
• Main Author: Ozdemir, Adnan
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier B.V 09.12.2011; Elsevier
• Subjects: atmospheric precipitation; Curvature; drainage; Earth sciences; Earth, ocean, space; engineers; Exact sciences and technology; Frequency ratio; geographic information systems; GIS; Groundwater; Groundwater potential; Hydrogeology; hydrologic models; Hydrology; Hydrology. Hydrogeology; land use; Logistic regression; Mathematical models; Mountains; permeability; planning; Regression; regression analysis; sediment transport; Spring; Springs; Springs (elastic); springs (water); streams; thematic maps; topography; watershed hydrology; Weights of evidence; Turkey (country); Middle East; Turkey; Asia; Konya Turkey; GIS; Logistic regression; Weights of evidence; Frequency ratio; Spring; Groundwater potential; mountains; lithology; permeability; ground water; geographic information systems; slopes; faults; frequency; land use; aquifers; models; density; atmospheric precipitation; streams; topography; planning; sediment transport; drainage; topographic maps
• ISSN: 0022-1694; 1879-2707
• DOI: 10.1016/j.jhydrol.2011.10.010

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