H Emami; M Jafary; A Nazari Samani; A Malekian
Volume 10, Issue 2 , September 2018, , Pages 61-74
Abstract
Spatial modeling of the groundwater springs occurrences allowed the identification of new springs fordrinking, agriculture and industry. The objective of this study was spatial modeling of thegroundwater springs occurrences using the geomorphometry indexes affecting the groundwatersprings occurrences ...
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Spatial modeling of the groundwater springs occurrences allowed the identification of new springs fordrinking, agriculture and industry. The objective of this study was spatial modeling of thegroundwater springs occurrences using the geomorphometry indexes affecting the groundwatersprings occurrences and Weights-of-evidence control model and evaluating this model in CentralAlborz. Generally, 584 springs were identified in the study area that 409 (70%) of them were utilizedfor training and 175 (30%) springs for validation of Weights-of-evidence control model. 14 importantgeomorphometry indexes includin elevation, degree of slope, aspect, plan curvature, profilecurvature, topographic wetnes index, stream power index, slope length, topography position index,lithology, distance of faults, fault density, distance from rivers and drainage density were chosen inthe form of Weights-of-evidence control model for spatial modeling of the groundwater springsoccurrences. According to Weights-of-evidence control model, aspect and topographic wetness indexhad the lowest and the highest impact on the ground water springs occurrences respectively. The mapresulted from spatial modeling of groundwater springs occurrences were classified into 4 classesincluding the low, middle, high, and very high potential occurrences. The model was validated usingROC method, which the area under the curve was 0.866. This means the weights-of-evidence controlmodel was accurate enough for estimating the spatial modeling of groundwater springs occurrences inCentral Alborz.
