Retrieving the Kinematic Process of Repeated-Mining-Induced Landslides by Fusing SAR/InSAR Displacement, Logistic Model, and Probability Integral Method

Abstract

The extraction of underground minerals in hilly regions is highly susceptible to landslides, which requires the application of InSAR techniques to monitor the surface displacement. However, repeated mining for multiple coal seams can cause a large displacement beyond the detectable gradient of the traditional InSAR technique, making it difficult to explore the relationship between landslides and subsurface excavations in both temporal and spatial domains. In this study, the Tengqing landslide in Shuicheng, Guizhou, China, was chosen as the study area. Firstly, the large-gradient surface displacement in the line of sight was obtained by the fusion of SAR offset tracking and interferometric phase. Subsequently, a multi-segment logistic model was proposed to simulate the temporal effect induced by repeated mining activities. Next, a simplified probability integral method (SPIM) was utilized to invert the geometry of the mining tunnel and separate the displacement of the mining subsidence and landslide. Finally, the subsurface mining parameters and in situ investigation were carried out to assess the impact of mining and precipitation on the kinematic process of Tengqing landslides. Results showed that the repeated mining activities in Tengqing can not only cause land subsidence and rock avalanches at the top of the mountain, but also accelerate the landslide displacement. The technical approach presented in this study can provide new insights for monitoring and modeling the effects of repeated mining-induced landslides in mountainous areas.

Near Real-Time Monitoring of Large Gradient Nonlinear Subsidence in Mining Areas: A Hybrid SBAS-InSAR Method Integrating Robust Sequential Adjustment and Deep Learning

“…The obtained results from InSAR represent the line-of-sight displacement, which is transformed into the vertical ground subsidence using the following equation, where θ denotes the incidence angle [26]:…”

LOS Deformation Correction Method for DInSAR in Mining Areas by Fusing Ground Data without Control Points

“…Heavy deformations are caused by high-intensity, large-scale, and rapid coal mining, resulting in significant damage to surface infrastructure and the ecological environment. Furthermore, they negatively impact the safety and wellbeing of the residents in the surrounding areas [2][3][4]. While new mining technologies, such as separation pouring mining and "mining-pouring-keeping" collaborative mining, offer some control over deformation [5,6], they have limited applicability and impose additional production burdens.…”