Mining Subsidence Prediction Parameter Inversion by Combining GNSS and DInSAR Deformation Measurements

Abstract

Line of Sight (LOS ) deformation based on Differential Interferometric Synthetic Aperture Radar (DInSAR) techniques cannot be used in traditional probability integration method (PIM) parameter inversion. To improve the accuracy of parameter inversion, a model based on 3D deformation was proposed. The model simulates 3D deformation using PIM directly. The inverse of the Sum of the Squared Errors (SSE) of the PIM results and the measured deformation results was used as a fitting function within the GA. Reliable PIM parameters can be obtained based on this GA model. To identify the surface movement law of the Jinfeng coal mine, 6 Global Navigation Satellite System ( GNSS ) monitor points were established over the 011207 and 011809 working panels. Due to the limited number of points and the large distance between the points, it is not sufficient to obtain reliable PIM parameters using GNSS only. As a complement, 83 Sentinel-1A images were analyzed with small baseline subset (SBAS) DInSAR, and the LOS direction deformation was obtained. The reliable PIM parameters were calculated with the 3D inversion model based on the combination of LOS direction deformation and GNSS-monitored deformation. Then, those parameters were used to predict the coal mine deformation of panels 011207 and 011809, which demonstrated that the prediction results coincide with the measured results. The model can be used to study the laws of mining subsidence combined with DInSAR and GNSS, which can reduce the requirements of the number of GNSS points and the impact of radar decoherence. This provides a new technical approach for studying the law of surface movement in mining subsidence research.

Ground subsidence associated with mining activity in the Ningdong coal base area, northwestern China revealed by InSAR time series analysis

“…This coal base has a coal reserve of 38.6 billion tons, accounting for 84% of the total amount across Ningxia province. With the exploitation of coal resources, the surface deformation due to underground coal extraction has caused damages to the mine facilities and surrounding infrastructures and buildings (Wang et al, 2018;Wang et al, 2021). By 2019, it has been documented that the affected area of mining subsidence in NECIB was up to 22.102 km 2 and 191 ground fissures were formed (see some fissures in Figure 1) (Wang et al, 2018).…”

“…In order to monitor the surface movement caused by coal mining, a local surveying institute has deployed high-precision real-time continuous GPS stations in some coal mines in the NECIB (Wang et al, 2018;Wang et al, 2021). At each mine, an independent GPS network was established with a reference station installing on stable ground away from the active mining surface and several monitoring stations installing above the surface of the working panel.…”

TDFPI: A Three-Dimensional and Full Parameter Inversion Model and Its Application for Building Damage Assessment in Guotun Coal Mining Areas, Shandong, China

“…The rock movement and deformation gradually spread to the ground surface with the expansions of the underground working face scale, which often results in uneven ground subsidence [1]. In particular, in China, mining areas are usually located in mountain areas or beneath the farmlands and villages with houses and other infrastructures around them [2]. Thus, mining-induced ground deformation usually leads to series of geohazards, such as mountain landslides and serious damage to buildings and public facilities in mining areas, which severely threatens the property and life safety of residents and the normal production of coal mines, as well as the ecological safety and sustainable development of the mining area [3].…”

Research on monitoring and stability evaluation of ground subsidence in gypsum mine goaf

“…Global Navigation Satellite System (GNSS) technology is one of the important means to monitor the ground deformation by measuring the distance between at least four satellites to the ground receiver and solving the receiver's position based on the satellite orbit coordinates to provide high precision and high temporal resolution three-dimensional point location information on the ground surface (Zhu et al, 2018;Lian et al, 2020). However, GNSS technology requires field survey and deployment, which makes it difficult to implement monitoring for disaster hazard points that are inaccessible to personnel (Zhang et al, 2021b), and is limited by the conditions of ground receiving equipment, which makes it difficult to deploy high-density GNSS stations, and is a discrete point observation with low spatial resolution and small coverage area, and it is easy to miss some potential dangerous deformation areas (Wang et al, 2021). Casu et al (2014) used SBAS-InSAR technology to monitor surface deformation in Naples, Italy and Los Angeles, United States, and its monitoring results were compared with GNSS data to verify the reliability of SBAS-InSAR in monitoring surface deformation.…”