Monitoring, Analyzing, and Modeling for Single Subsidence Basin in Coal Mining Areas Based on SAR Interferometry with L-Band Data

Abstract

Excessive exploitation of underground mine resources has caused serious land subsidence in China. This paper focused on monitoring and modeling the single subsidence basin in coal mining area based on SAR interferometry (InSAR). The optimum InSAR processing strategy to monitor the mining subsidence was built to obtain the land subsidence with large deformation. And a method of three-dimensional mathematical modeling of single subsidence basin based on InSAR measurements was presented. Using Jining Coalfield (China) as the study area, we acquired 7 L-band PALSAR images from January 2008 to February 2010 to monitor the land subsidence in Jining Coalfield. The deformation maps in Jining Coalfield in different periods were obtained. Taking the Geting Coal Mine within the Jining coalfield as an example, we finely analyzed and interpreted the deformation maps. Compared with the simultaneous filed measurements, the precision of deformation measurement using D-InSAR in mining area was analyzed. The root mean square error was 1.37 cm. The method of fine interpretation and analysis for a single subsidence basin was established. The experiments have proved that InSAR technique with L-band InSAR data is suitable for monitoring mining subsidence with large deformation. And the 3D mathematical modeling method could be used for the single subsidence basin in coal mining area.

Land Subsidence Estimation for Aquifer Drainage Induced by Underground Mining

“…Land subsidence's spatial extent and value are primarily determined by the depth of exploitation, seam thickness, panel dimensions, overlying rock mass geomechanical conditions, geological defects, surface topography, production methods and post-mining void reclamation method [30,52,53]. Many research papers have been presented in recent years documenting the land subsidence phenomenon caused by mining [47,49,[54][55][56][57][58][59][60][61][62][63]. As a result, one can be stated that the spatial extent of the phenomenon can range from several km 2 [49] to tens of km 2 [15], while its values can range from a few mm/year [64] to several cm/day [65].…”

An Automatic Spatial-Temporal Evolution Inversion Method of Mining Goaf Based on the Improved Hotspot Analysis and Probability Integral Method

“…To verify the effectiveness of the proposed inversion method, three-dimensional mathematical model [51] was used to simulate the surface subsidence of the mining goaf. The TLS-PIM method was then employed for goaf inversion and compared with the preset parameters.…”

“…In recent years, Interferometric Synthetic Aperture Radar (InSAR) has been utilized to generate surface deformation and offers extensive spatial coverage with high measurement accuracy. Surface deformation is a critical indicator for the identification of potential geological hazards, including mining goafs [4]. Furthermore, time series InSAR (TS-InSAR) mitigates the influence of spatial-temporal decorrelation, atmospheric delay, and satellite orbit error, generating precise deformation [5].…”

Detecting, Monitoring, and Analyzing the Surface Subsidence in the Yellow River Delta (China) Combined with CenterNet Network and SBAS-InSAR

“…However, in the long-term monitoring, InSAR is limited by signal incoherence, which is caused by atmospheric phase error and noise [13], resulting in reduced monitoring accuracy and a loss of ability to monitor tiny deformations. In view of this problem, several scholars improved the phase filtering [14] and phase unwrapping [15] methods in InSAR or established a refined model for a single subsidence basin [16] to improve the monitoring accuracy. In 2002, Small Baseline Subset InSAR (SBAS-InSAR) was proposed by Berardino et al [17].…”