Vulnerability of Shazand Plain Subsidence Caused by Groundwater Level Reduction Using Weighting Model and Its Validation Analysis Using Radar Interferometry

Document Type : Research Article


1 Master of Science in Hydrogeology, Faculty of Natural Sciences, University of Tabriz

2 Associate Professor, Faculty of Natural Sciences, University of Tabriz


In this research, the factors affecting land subsidence in the Shazand plain have been investigated using a weighting model. In the ALPRIFT model, seven effective parameters, aquifer environment, land use, pumping, feeding, aquifer thickness, distance from fault and groundwater loss were rated and classified according to expert opinion. By combining these parameters in ArcGIS environment, the vulnerability map was evaluated. The index ranged from 87 to 170. Then, for optimization and adaptation, seven layers effective on fuzzy subsidence were prepared and the final map was prepared. Then the final map of the subsidence potential was prepared using the AHP method. Vulnerability of lowland subsidence was obtained by integrating layers in Arc GIS for a period of 2016-2017. InSAR satellite map was used to validate this model. Fuzzy and AHP methods were combined with weighting model to improve the results and optimize the weights applied. The results show that all three methods have almost the same correlation with satellite data and fuzzy method shows the highest correlation with satellite data and actual subsidence. Based on this model, the north and northwest regions are subject to subsidence. It should be noted that the Shazand refinery is located in a high subsidence potential area and management plans should be put in place to control the subsidence.


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Volume 7, Issue 1
April 2020
Pages 183-194
  • Receive Date: 07 October 2019
  • Revise Date: 11 February 2020
  • Accept Date: 11 February 2020
  • First Publish Date: 20 March 2020