Potential of Shazand Plain Subsidence caused by groundwater level reduction using Weighting Model and its Validation Analysis Using Radar Interferometry

In this research, the factors affecting land subsidence in the Shazand plain have been investigated using weighting model. In this model, seven effective parameters, aquifer environment, land use, pumping, feeding, aquifer thickness, distance from fault and groundwater loss were rated, classified and classified according to expert opinion and 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 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.