100 / 2023-05-29 22:14:23

基于SBAS-InSAR技术的郓城县彭庄煤矿地表沉降监测

SBAS-InSAR;,矿区沉降,精度分析

Coal, as the basic energy source and important raw material for ensuring energy supply in China, accounts for about 74% of the primary energy structure, of which the underground mining volume accounts for approximately 93% of the total mining volume. Large-scale coal mining has resulted in the gradual increase of subsidence areas, which has caused a series of problems on the surface of subsidence areas, such as cracks, subsidence, and collapse, seriously damaging the local natural ecological environment. Therefore, it is of great significance to conduct necessary monitoring of the coal mine mined-out areas. In this study, the short baseline set time series InSAR (SBAS-InSAR) technique was used to monitor land subsidence in Pengzhuang coal mine in Yuncheng County, and the GAMMA software was used to process 19 C-band Sentinel-1 ascending orbit images from January 22, 2019 to April 5, 2021, obtaining 65 interferograms. The annual average subsidence rate and cumulative subsidence of the mined-out area during the research period were calculated, and the accuracy was evaluated in combination with mining face excavation information and leveling data. The results show that: (1) ) As of April 2021, the whole study area showed a trend of settlement, and the overall settlement range and settlement in the study area were expanding over time, with a total subsidence area of 66.447km², accounting for approximately 88.9% of the total study area. There are two obvious subsidence centers, namely, the 3305 and 4308 working faces of the Pengzhuang coal mine, accounting for approximately 3.1% of the study area. (2) The area with cumulative subsidence concentrated between -40 and -20mm/a is 18.868km², accounting for approximately 25.2% of the study area. (3) The maximum subsidence of the mine surface is -334.67mm, and the maximum subsidence rate is -142.70mm/a, which is basically located above the surface of the 3305 working face. (4) Regression analysis of the cumulative subsidence data of the characteristic points on two working faces obtained by the SBAS-InSAR technique and the leveling monitoring data was carried out, and the determination coefficients R² were 0.95 and 0.98, respectively, indicating that the SBAS-InSAR technique fits well with the leveling monitoring data and can accurately obtain the accuracy and order of magnitude of ground deformation. It also indicates the feasibility of InSAR technology in subsidence monitoring of coal mining areas, and provides a new technical method for mineral resource management. The research results provide a scientific basis for subsidence monitoring and early warning, disaster prevention and control, and rational development and utilization of resources in coal mining areas.