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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[1] 中国风景园林学会.T/CHSLA 50002—2018黄淮海平原采煤沉陷区生态修复技术标准[S].北京:中国建筑工业出版社,2019.Chinese Society of Landscape Architecture.T/CHSLA 50002-2018 Technical Standard for Ecological Restoration in Coal Mining Subsidence Area of Huang-Huai-Hai Plain[S].Beijing:China Architecture and Building Press,2019. [2] 国家安全监管总局,国家煤矿安监局,国家能源局,等.建筑物、水体、铁路及主要井巷煤柱留设与压煤开采规范[S].2017.State Administration of Work Safety,National Coal Mine Safety Supervision Bureau,National Energy Administration,et al.Specification for Coal Pillar Retention and Coal Mining in Buildings,Water Bodies,Railways,and Main Tunnels[S].2017. [3] 何国清,杨伦,凌赓娣,等.矿山开采沉陷学[M].徐州:中国矿业大学出版社,1991. He G Q,Yang L,Ling G D,et al.Mining Subsidence Learning[M].Xuzhou:China University of Mining and Technology Press,1991.
[4] 郭广礼. 老采空区上方建筑地基变形机理及其控制[M].徐州:中国矿业大学出版社,2001. Guo G L.Mechanism and Control of Deformation of Building Foundation Above the Old Goaf[M].Xuzhou:China University of Mining and Technology Press,2001.
[5] 邓喀中,谭志祥,姜岩,等.变形监测及沉陷工程学[M].徐州:中国矿业大学出版社,2014. Deng K Z,Tan Z X,Jiang Y,et al.Deformation Monitoring and Settlement Engineering[M].Xuzhou:China University of Mining and Technology Press,2014.
[6] 谢晓龙. 采空老区地表变形及沉陷机理研究[D].合肥:合肥工业大学,2010. Xie X L.Ground Deformation and Subsidence Mechanism of Old Mining Area[D].Hefei:Hefei University of Technology,2010.
[7] 张永波. 老采空区建筑地基稳定性及其变形破坏规律的研究[D].太原:太原理工大学,2005. Zhang Y B.Research on the Stability of Building Foundation Above Old Mine Goafs and Its Damage Regula[D].Taiyuan:Taiyuan University of Technology,2005.
[8] 栾长青. 采空区的沉陷机理及地表变形破坏的时空预测研究[D].西安:长安大学,2005. Luan C Q.Study on the Subsidence Mechanism of Goaf and Spatiotemporal Prediction of Surface Deformation and Failure[D].Xi'an:Chang'an University,2005.
[9] 王旭春,岳著文,管晓明.深部走向长壁开采地表移动数值模拟[J].水文地质工程地质,2012,39(6):108-113. Wang X C,Yue Z W,Guan X M.Numerical simulation of surface movement under long-wall mining condition in deep areas[J].Hydrogeology & Engineering Geology,2012,39(6):108-113.
[10] 郭文兵,邓喀中,邹友峰.概率积分法预计参数选取的神经网络模型[J].中国矿业大学学报,2004,33(3):322-326 .Guo W B,Deng K Z,Zou Y F.Artificial neural network model for predicting parameters of probability-integral method[J].Journal of China University of Mining & Technology,2004,33(3):322-326. [11] Gabriel A K,Goldstein R M.Crossed orbit interferometry:theory and experimental results from SIR-B[J].International Journal of Remote Sensing,1988,9(5):857-872.
[12] 李达,邓喀中,高晓雄,等.基于SBAS-InSAR的矿区地表沉降监测与分析[J].武汉大学学报:信息科学版,2018,43(10):1531-1537. Li D,Deng K Z,Gao X X,et al.Monitoring and analysis of surface subsidence in mining area based on SBAS-InSAR[J].Geomatics and Information Science of Wuhan University,2018,43(10):1531-1537.
[13] 彭鹏,杨红磊.基于改进相干点目标技术的阜阳市地面沉降调查[J].中国地质调查,2016,3(4):63-68. Peng P,Yang H L.Study of land subsidence monitoring based on an improved coherent point target technology in Fuyang City[J].Geological Survey of China,2016,3(4):63-68.
[14] 高思远. 基于Sentinel-1数据的PS-InSAR技术在金沙江白格滑坡监测中应用研究[D].北京:中国水利水电科学研究院,2019.Gao S Y.Research on the Application of PS-InSAR Based on Sentinel-1 Data In Monitoring of Baige Landslide in Jinsha River[D].Beijing:China Institute of Water Resources and Hydropower Research,2019. [15] 汤志刚,景佳俊,颜士顺,等.基于InSAR监测数据的石膏矿采空塌陷特征分析——以邳州平台矿和希州矿为例[J].中国地质调查,2020,7(4):112-117. Tang Z G,Jing J J,Yan S S,et al.Analysis of gob collapse characteristics in gypsum mine based on InSAR monitoring data:A case study of Pizhou Pingtai and Xizhou mine[J].Geological Survey of China,2020,7(4):112-117.
[16] 张洋. 沛北矿区地表沉降InSAR 监测研究[D].徐州:中国矿业大学,2016. Zhang Y.Study on the Ground Subsidence Monitoring in Peibei Mining Area with InSAR Technology[D].Xuzhou:China University of Mining and Technology,2016.
[17] 中华人民共和国住房和城乡建设部.GB 51044—2014 煤矿采空区岩土工程勘察规范(2017年版)[S].北京:中国计划出版社,2017.Ministry of Housing and Urban-Rural Development of the People's Republic of China.GB 51044-2014 Code for Investigation of Geotechnical Engineering in the Coal Mine Goaf (2017)[S].Beijing:China Planning Press,2017. [18] 王勇. 徐州矿区地表移动观测与参数的求取[J].矿山测量,2013(4):79-81. Wang Y.Observation of surface movement and parameter determination in Xuzhou mining area[J].Mine Surveying,2013(4):79-81.
[19] 范雪婷,李明巨,张大骞,等.基于多主影像相干目标小基线InSAR技术的无锡市地表沉降监测[J].现代测绘,2018,41(3):1-5. Fan X T,Li M J,Zhang D Q,et al.Monitoring of surface subsidence in Wuxi City with MCTSB-InSAR method[J].Modern Surveying and Mapping,2018,41(3):1-5.
[20] 张永红,吴宏安,康永辉.京津冀地区1992—2014年三阶段地面沉降InSAR监测[J].测绘学报,2016,45(9):1050-1058. Zhang Y H,Wu H A,Kang Y H.Ground subsidence over Beijing-Tianjin-Hebei Region during three periods of 1992 to 2014 monitored by interferometric SAR[J].Acta Geodaetica et Cartographica Sinica,2016,45(9):1050-1058.
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