Potential detection of mineral water springs using statistical models (a case study of Vazroud Watershed, Mazandaran)

Document Type : Research Article


University Academic member


Determining the potential of mineral springs is one of the important and essential issues in water resources management. In this study, the potential map of the spring for the management and planning of groundwater resources was performed using statistical models of frequency ratio (FR) and weight of evidence (WOE) in the Vazrood Watershed. For this purpose, 57 springs were identified randomly in the calibration (34) and validation (23) phases. In the implementation of both models, the effective factors in spring potential were used include: slope percentage and aspect, hypsometry, plan and profile, geology, land use, topographic wetness index, distance from fault, fault density, drainge density, distance from the river and the road. The results showed that the accuracy of the FR model was 84.4% and the accuracy of the WOE model was 77.2%. These results indicate a very good accuracy of these two models in determining the potential areas of springs in the Vazrood Watershed. According to the results, the accuracy of the FR model is also higher than the WOE model. Finally, 39.7% and 34.9% of Vazroud watershed in high and very high classes in terms of spring potential are in two models of WOE and FR models, respectively. Finally, the potential maps of the springs can be used to provide the basic infrastructure to clean the springs from human damage and the entry of investors to build a drinking water spring factory and ultimately the prosperity of the local economy of the Watershed residents of Vazroud.


Main Subjects

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Volume 8, Issue 3
October 2021
Pages 867-889
  • Receive Date: 12 June 2021
  • Revise Date: 14 September 2021
  • Accept Date: 03 September 2021
  • First Publish Date: 15 September 2021