Document Type : Original Research Paper
Authors
1 Faculty of Mining, Petroleum, and Geophysics Engineering, Shahrood University of Technology, Iran.
2 , Faculty of Mining, Petroleum, and Geophysics Engineering, Shahrood University of Technology
3 Faculty of Engineering, Lorestan University
4 Imam Hossein Comprehensive University
Abstract
Land subsidence is one of the most significant geomorphological challenges in arid and semi-arid regions, posing substantial risks to infrastructure, groundwater resources, and the environment. In this study, Sentinel-1 SAR data and the LiCSBAS-based SBAS-InSAR time-series approach were employed to investigate ground deformation across the Silakhor Plain in Lorestan Province, Iran, during the 2018–2024 period. A total of 299 Sentinel-1 SAR images acquired at 6-day temporal intervals were processed to characterize the spatial and temporal patterns of land subsidence. The results clearly identified the major subsidence zones and quantified their deformation rates across the study area. The findings indicate an average annual subsidence rate of approximately 40 mm yr⁻¹, with cumulative subsidence reaching up to 340 mm in some parts of the plain during the study period. The highest deformation rates are predominantly concentrated within agricultural areas and the alluvial aquifer of the Silakhor Plain, suggesting a potential relationship between groundwater depletion and land subsidence. Furthermore, the spatial distribution of subsidence indicates that critical infrastructure, including the Khorramabad–Borujerd highway, as well as several rural settlements, may be exposed to deformation-related hazards.
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