PS-InSAR监测矿区建筑物及道路动态沉降安全分析*

针对矿山井下开采引发的地表沉降，提出1种结合时序相干系数阈值、振幅离差指数阈值和强度信息阈值的三重阈值法PS点识别方法的PS-InSAR技术。基于哨兵1号A星（Sentinel-1A）的雷达图像，依据三重阈值法识别到淮北市郊一煤矿311工作面采区内重要建筑物和道路的PS点，分别分析开采沉陷阶段的地表沉降活跃期（2018年7月14日—2019年9月7日）和该工作面停采2个月后地表沉陷衰退期（2019年9月7日—2021年1月23日）的动态沉降速率、沉降大小。研究结果表明:三重阈值法能筛选出更有效的PS点，可提高PS点识别与PS-InSAR技术监测精度，说明利用三重阈值法识别PS点的PS-InSAR技术监测矿区建筑物及道路安全具有可行性。

Safety analysis on dynamic subsidence of buildings and roads in mining area monitored by PS-InSAR

Aiming at the surface subsidence caused by underground mining of mines,a PS-InSAR technology with the triple-threshold method on identifying PS points was proposed by combining with the time-series coherence coefficient threshold,amplitude dispersion index threshold and intensity information threshold.Based on the radar images of Sentinel-1A,the PS points of important buildings and roads in the mining area of 311 working face of a coal mine in the suburb of Huaibei City were identified according to the triple-threshold method,then the dynamic subsidence rates and subsidence values during the active period of surface subsidence in the mining subsidence stage (from July 14,2018 to September 7,2019) and the recession period of surface subsidence after stop mining for 2 months (from September 7,2019 to January 23,2021) were separately analyzed.The results showed that the triple-threshold method could screen out the more effective PS points and improve the monitoring accuracy of PS point identification and PS-InSAR technology,which indicated that it is feasible to use the PS-InSAR technology of identifying PS points by triple-threshold method to monitor the safety of buildings and roads in the mining areas.