Study of land subsidence in Isfahan-Borkhar plain using radar images,  preparation of subsidence potential map using a combination of methods of AHP and Fuzzy Logic and Multiple Linear Regression

Ajalloeianb, Rassoul; Rafiee, Mohsen; Dehghani, MAryam; Mahmoudpour, Masoud

Study of land subsidence in Isfahan-Borkhar plain using radar images, preparation of subsidence potential map using a combination of methods of AHP and Fuzzy Logic and Multiple Linear Regression

Document Type : Original Article

Authors

Rassoul Ajalloeianb ¹

Mohsen Rafiee ²

MAryam Dehghani ³

Masoud Mahmoudpour ⁴

¹ Department of Geology, University of Isfahan, Isfahan, Iran

² PHD Candidate, Department of Geology, University of Isfahan

³ Associated Professor, Dept. of Civil and Environmental Engineering, School of Engineering, Shiraz University

⁴ Research Institute for Earth Science, Geological Survey of Iran (GSI), Tehran, Iran

Abstract

In recent decades, due to population growth and necessity of food and job production, special attention has been given to the expansion and development of agriculture and the construction of several industrial zones in the vicinity of large and populous cities. On the other hand, because of the decrease in precipitations and deficiency in surface water resources, groundwater resources have been extracted through drilling wells in order to supply agricultural and industrial water. In Isfahan-Borkhar Plain, the number of deep and semi-deep wells has increased from a few hundred to more than 6,000 wells over the past forty years. This has led to a drop in water level with an annual average of about one meter. The continuous drop in groundwater level in susceptible areas had led to land subsidence. In this research, the amount of subsidence occurred in Isfahan-Borkhar Plain during the years 2014 to 2017 was determined by using Radar images and the factors affecting subsidence and the impact of each of them on the amount of subsidence was investigated. Furthermore, a combination of Analytical Hierarchy Process (AHP) with fuzzy logic in GIS environment and Multiple Linear Regression models was used to create Land Subsidence potential map of the area. Comparison of the results obtained from the Analytical Hierarchy Process and the linear regression method shows the greater efficiency of the linear regression method in calculating the subsidence potential.

Keywords

land subsidence

Interferometry

Time series

MLR AHP

Subjects