Analysis of coal mining subsidence characteristics and stability based on InSAR monitoring data: A case study of the Mining and Land Integration Demonstration Zone in Pei County of Jiangsu Province
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摘要: 为查明江苏省沛县采煤沉陷区时空发育特征、发展趋势及其危险程度,更好地指导地质灾害防治与生态环境修复工作,在煤矿开采资料分析和野外调查成果的基础上,开展基于多期Sentinel-1卫星的合成孔径雷达干涉测量数据技术的地表沉降监测。通过采煤沉陷区2018—2022年InSAR监测数据进行地表变形分析得知: 2018—2022年,采煤沉陷区地表已沉降0.139~0.558 m,2022年6—12月采煤沉陷区地表沉降速率为0~2.159 mm/d; 已稳沉沉陷区(老采空区)沉降量已接近最大值,沉降速率逐渐减小并趋于0,未稳沉沉陷区(新采空区)沉降量和沉降速率从0开始并逐渐增大; 2022年底尚存在未稳沉沉陷区面积约18.45 km2,主要分布在张双楼煤矿等煤矿近5 a开采区域。采煤沉陷区InSAR监测数据可以较好地反映这一时期的变形特征,研究可为沛县采煤沉陷区综合治理工作提供科学依据,亦可为其他类似区域采煤沉陷区特征分析和综合治理工作提供参照。Abstract: In order to identify the spatiotemporal development characteristics, development trends, and risk levels of coal mining subsidence areas in Peixian County of Jiangsu Province, and better guide geological disaster prevention and ecological environment restoration work, the authors in this paper carried out the surface subsidence monitoring using multi period Sentinel-1 satellite synthetic aperture radar interferometry data technology, based on the analysis of coal mining data and field investigation results. By analyzing the surface deformation of the coal mining subsidence area from 2018 to 2022 using InSAR monitoring data, the authors concluded that the surface of the subsidence area had sunk by 0.139 to 0.558 meters from 2018 to 2022, and the surface subsidence rate of the subsidence area was 0.000 to 2.159 mm/d from June to December in 2022. The settlement amount of the stable subsidence goaf (old goaf) has approached its maximum value, and the settlement rate is gradually decreasing and approaching 0. The settlement amount and settlement rate of the unstable subsidence goaf (new goaf) started from 0 and gradually increased. The unstable subsidence area was approximately 18.45 km2 at the end of 2022, mainly distributed in Zhangshuanglou and other coal mines explored in the past 5 years. The surface InSAR data could better reflect the deformation characteristics. This study could provide some scientific basis for the comprehensive management of coal mining subsidence areas in Pei County, and provide some references for characteristic analysis and comprehensive management of coal mining subsidence areas in other similar regions.
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