融合实测数据的地表沉降SBAS-InSAR监测方法
SBAS-InSAR monitoring method of ground subsidence in mining areas by fusion with measured data
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摘要: 近年来我国煤矿地下开采深度不断增加,深部非充分开采条件下矿区地表沉降量偏小、持续周期长,使用小基线集(SBAS)时序InSAR技术可用于获取矿区地表高时空分辨率的变形信息,然而InSAR监测中失相干问题会导致部分下沉区域无法得到有效形变信息。提出了一种融合实测数据的地表沉降SBAS-InSAR监测方法,以万年矿沉降区的26景哨兵1A数据和部分水准实测数据为试验数据,通过融合部分同时期水准实测数据,采用反距离加权插值法(Inverse Distance Weighted, IDW)对研究区内失相干区域进行IDW空间插值,得到地表沉降区完整且连续的地表沉降信息,解决了部分沉降区域因植被旺盛引起的InSAR数据失相干问题。通过提取研究区内走向及倾向时序沉降曲线,对万年矿工作面132153和132157非充分开采地表沉降规律进行分析,发现工作面132153较132157沉降范围更广,沉降量更大,是由其开采过程中邻近老采空区出现“活化”现象所致。选取和对比3个同时期的InSAR监测结果与水准实测结果,其均方根误差分别为±6.0,±4.4和±9.8 mm。研究结果表明,融合实测数据和IDW插值后的SBAS-InSAR应用于矿区深部非充分开采地表沉降时序监测具有很高的可靠性,监测精度完全满足相关工程技术要求。Abstract: In recent years, the depth of underground mining in coal mines in China has gradually increased.Under the subcritical mining conditions, the surface subsiding amounts of the mining area are small and the surface subsiding duration is long.Sentinel-1 A with small baseline subset(SBAS) can be used to obtain the deformation information of the mine ground with high temporal and spatial resolution.The incoherence problems in InSAR monitoring result in that in some subsidence areas, the effective deformation information cannot be obtained.By fusing the actual measured data, the SBAS-InSAR method was improved to monitor the surface subsidence.The 26 sentinel 1 A data and part of the actual measured data in the Wannian mine were acquired as the experimental data.Incoherent InSAR data of some subsidence areas covered by heavy vegetation were solved by inverse distance weighted interpolation(IDW),and the laws of ground subsidence of the insufficiently mined working faces 132153 and 132157 were analyzed.The IDW interpolation for the decoherent region along the trending direction of the working face 132157 was carried out by combining some actual measured data, and the complete and continuous InSAR monitoring data for the ground subsidence area were obtained.The InSAR monitoring results and actual measured results in the same period were selected and compared, their standard errors were ±6.0 mm, ±4.4 mm and ±9.8 mm respectively.The research results show that the application of SBAS-INSAR based on the combinations of measured data and IDW interpolation is highly reliable in the time-series monitoring of ground subsidence in the deep mining area, and the monitoring accuracy meets the requirements of relevant engineering technology.