InSAR Observations and Numerical Simulation Reveal Impact of Mining-Induced Deformation on Loess Landslide Distribution

Read full text
Authors: Haijun Qiu, Ma Li, Dongdong Yang
Cited by: 3
References: 56

Abstract

Underground coal mining can induce substantial surface deformation and trigger associated geological hazards. However, the quantitative links between mining-induced deformation, stress redistribution, and the spatial pattern of landslide occurrence remain insufficiently understood, particularly in loess-covered mining regions. Taking the Hecaogou Coal Mine in the Zichang mining area of the Loess Plateau, China, as an example, this study uses a coupled framework that integrates multi-temporal Interferometric Synthetic Aperture Radar (InSAR) observations with three-dimensional FLAC3D numerical simulation. We found that surface deformation is primarily concentrated above and adjacent to the mined-out zones, with maximum cumulative deformation of −169.3 mm during March 2017 and December 2023. The stepwise excavation simulations reveal that vertical displacement and vertical compressive stress in the overlying strata increase continuously as mining advances, thereby promoting tensile–shear failure and surface subsidence, with the subsidence magnitude quantitatively increasing from 3.7 mm at 200 m depth to 162 mm at 1000 m depth. A strong agreement between InSAR-derived deformation and simulated deformation fields is demonstrated, confirming the reliability of the modeled deformation process. We also found that the landslide density exhibits a strong spatial correlation with surface deformation, with high-density zones clustering near the mined-out areas. These findings enhance our understanding of how underground coal mining reshapes surface stability and influences the spatial pattern of landslide occurrences in coal mining regions.

Fields of Study & Subjects

Synthetic Aperture Radar (SAR) Applications and Techniques Landslides and related hazards Rock Mechanics and Modeling

Publication details

Journal / source
Remote Sensing
Publisher
MDPI AG
Volume
18
Issue
3
Pages
479–479
Publication date
2 February 2026
Language
EN