Modification of DRASTIC Model to Assess Groundwater Vulnerability by Applying two Approaches: Single Parameter Sensitivity Analysis (SPSA) and Analytical Hierarchy Process (AHP)

Document Type : Research Article


1 Graduate Student, Department of Remote Sensing and Geographic Information Systems, Faculty of Environment and Energy, University of Science and Research, Islamic Azad University, Tehran

2 Assistant Professor, Department of Remote Sensing and Geographical Information Systems, Faculty of Natural and Environmental Sciences, Islamic Azad University, Science and Research Branch of Tehran

3 Assistant Professor, Department of Irrigation and Drainage Engineering, Campus Abourihan, Tehran University


Groundwater vulnerability assessment plays a key role in the conservation and proper usage of these strategic resources. Various methods have been proposed to assess the vulnerability and the most common is the DRASTIC model. The DRASTIC model consists of seven hydrogeologic factors to compute for the vulnerability index. The main problem with this method is fixed rates and weights related to each parameters in this model. So the main purpose of this research is to modify primary DRASTIC model by Single Parameter Sensitivity Analysis (SPSA) and Analytical Hierarchy Process (AHP) and finally to produce vulnerability map in GIS environmental software. Yasuj plain located in southwest of Iran is chosen as a study area. Nitrate concentration related to 24 wells are used to compare which method make better prediction based on real pollution in study area. Finally SPSA method has shown the best correlation with sample Nitrate, by specifying more suitable weight for DRASTIC parameters in each polygon. Also AHP method has assigned new weights to each parameters based on the importance and better result was achieved compare with basic DRASTIC. These results can be used to map groundwater susceptibility to pollution.


Main Subjects

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Volume 5, Issue 4
January 2019
Pages 1191-1202
  • Receive Date: 22 April 2018
  • Revise Date: 12 July 2018
  • Accept Date: 16 September 2018
  • First Publish Date: 22 December 2018
  • Publish Date: 22 December 2018