D-InSAR技术在井筒注浆对地表及建筑物变形影响中的应用

刘辉, 卢如梦, 苏丽娟, 程诗广, 张鹏飞, 程桦

刘辉, 卢如梦, 苏丽娟, 程诗广, 张鹏飞, 程桦. D-InSAR技术在井筒注浆对地表及建筑物变形影响中的应用[J]. 煤田地质与勘探.
引用本文: 刘辉, 卢如梦, 苏丽娟, 程诗广, 张鹏飞, 程桦. D-InSAR技术在井筒注浆对地表及建筑物变形影响中的应用[J]. 煤田地质与勘探.
LIU Hui, LU Rumeng, SU Lijuan, CHENG Shiguang, ZHANG Pengfei, CHENG Hua. Application of D-InSAR in monitoring the impacts of shaft grouting on surface and building deformations[J]. COAL GEOLOGY & EXPLORATION.
Citation: LIU Hui, LU Rumeng, SU Lijuan, CHENG Shiguang, ZHANG Pengfei, CHENG Hua. Application of D-InSAR in monitoring the impacts of shaft grouting on surface and building deformations[J]. COAL GEOLOGY & EXPLORATION.

 

D-InSAR技术在井筒注浆对地表及建筑物变形影响中的应用

基金项目: 

国家自然科学基金项目(52174156, 51874005)

安徽省高校协同创新项目(GXXT-2020-055)

详细信息
    作者简介:

    刘辉,1982年生,男,山东肥城人,教授,博士生导师,博士。E-mai:lhui99@aliyun.com

    通讯作者:

    苏丽娟,1986年生,女,山东枣庄人,副教授,博士。E-mail:58160242@qq.com

  • 中图分类号: TD325;P237

Application of D-InSAR in monitoring the impacts of shaft grouting on surface and building deformations

  • 摘要:目的】在煤矿工程中,井壁破损对生产设施和矿井安全构成威胁,全面监测井筒注浆工程对工业广场及地表建筑物的变形影响,对保障矿山生产安全至关重要。【方法】以皖北矿区某煤矿为研究对象,选取覆盖该区域的15景Sentinel-1A影像数据,采用D-InSAR技术全面监测井筒注浆修复前后工业广场及地表建筑物沉降,获取了地表及建筑物动态变形信息,分析注浆活动对地表及建筑物的影响。【结果和结论】结果表明:(1) 与水准监测相比,D-InSAR地表沉降监测平均误差1.70 mm,最大误差2.70 mm,D-InSAR监测地表微小沉降精度可靠,能够满足工业广场地表沉降监测的要求。(2) 井筒注浆工程实施前,地表及建筑物呈持续下沉状态,监测期内最大下沉量为21.12 mm;工程实施后,下沉趋势减缓并逐渐趋于稳定;分析井筒应变监测结果和地面沉降变化可知,注浆修复效果显著,在井筒周围形成隔水帷幕。(3) 监测结果显示,注浆前后地表经历“连续下沉-微量抬升-轻微沉降-趋于稳定”4个阶段,注浆初期对地表沉降抑制作用明显,注浆中地表略有抬升,工程结束后轻微沉降直至稳定。(4) 监测期内主要建筑物变形均小于《建筑物、水体、铁路及主要井巷煤柱留设与压煤开采规程》(2017版)中Ⅰ级损坏标准,处于安全阈值内,注浆工程进一步减缓了建筑物变形,保证建筑物安全。
    Abstract: [Objective] In coal mining engineering, damaged well walls pose a threat to the safety of production facilities and mines. Comprehensively monitoring the impacts of shaft grouting on the deformations of mine surface plants and surface buildings is critical for ensuring the safe production of mines. [Methods] This study investigated a coal mine in the mining area within northern Anhui Province. Using the 15 scenes of Sentinel-1A image data covering the coal mine and the differential interferometric synthetic aperture radar (D-InSAR) technology, this study comprehensively monitored the subsidence of mine surface plants and surface buildings before and after shaft grouting, obtaining information on the dynamic deformations of surface and buildings. Accordingly, this study analyzed the impacts of grouting on the surface and buildings. [Results and Conclusions] The results indicate that compared to leveling measurements, the D-InSAR-based land subsidence monitoring yielded an average error of 1.70 mm and a maximum error of 2.70 mm. These results demonstrate the reliable accuracy of D-InSAR in monitoring minor land subsidence, thus meeting the requirements for land subsidence monitoring in mine surface plants. Before shaft grouting, the surface and buildings were in a continuous subsidence state, with a maximum subsidence of 21.12 mm recorded during the monitoring period. After shaft grouting, their subsidence slowed down and then gradually stabilized. The analysis of shaft strain monitoring results and changes in land subsidence reveals that the grouting engineering exhibited remarkable remediation effects by forming an impermeable curtain around the shaft. The monitoring results show that the surface underwent four deformation stages, i.e., continuous subsidence, slight uplift, minor subsidence, and stabilization, before and after grouting. Specifically, initial grouting demonstrated a pronounced effect in curbing land subsidence. As the grouting progressed, the surface was slightly uplifted, followed by minor subsidence until stabilization after grouting completion. During the monitoring period, the deformations of major buildings remained within the safety threshold according to the Class I damage criterion specified in the Regulations for Coal Pillar Retention and Coal Mining thereunder for Buildings, Water bodies, Railways, and Main Shafts (2017 Edition). Therefore, grouting engineering can ensure the safety of buildings by further mitigating their deformations.
  • [1] 王龙康,李祥春,李安金,等. 我国煤矿安全生产现状分析及改善措施[J]. 中国煤炭,2016,42(9):96–100.

    WANG Longkang,LI Xiangchun,LI Anjin,et al. Analysis and improvement measures on current situation of coal mine safety production in China[J]. China Coal,2016,42(9):96–100.

    [2] 姚文华. 开采沉陷对地表建筑物的损坏评价研究[D]. 太原:太原理工大学,2013. YAO Wenhua. Study on damage evaluation of surface buildings caused by mining subsidence[D]. Taiyuan:Taiyuan University of Technology,2013.
    [3] 徐乃忠,马伟民,凌红. 离层注浆减沉效果分析[J]. 煤炭学报,1998,23(5):51–55. XU Naizhong,MA Weimin,LING Hong. Analysis on effect of grouting into overburden-separation to reduce subsidence due to coal mining[J]. Journal of China Coal Society,1998,23(5):51–55.
    [4] 朱卫兵,许家林,赖文奇,等. 覆岩离层分区隔离注浆充填减沉技术的理论研究[J]. 煤炭学报,2007,32(5):458–462. ZHU Weibing,XU Jialin,LAI Wenqi,et al. Research of isolated section-grouting technology for overburden bed separation space to reduce subsidence[J]. Journal of China Coal Society,2007,32(5):458–462.
    [5] 宿林. 考虑振动与温度的桥面静力水准垂直位移监测研究[D]. 重庆交通大学,2024. SU Lin. Research on the vertical displacement monitoring of bridge static water level considering vibration and temperature[D]. Chongqing:Chongqing Jiaotong University,2024.
    [6] 杨滨铭. 陀螺全站仪定向技术在煤矿测量中的应用[J]. 山东煤炭科技,2019,37(3):142–144.

    YANG Binming. Application of gyro total station orientation technology in coal mine measurement[J]. Shandong Coal Science and Technology,2019,37(3):142–144.

    [7] 吴浩,黄创,张建华,等. GNSS/GIS集成的露天矿高边坡变形监测系统研究与应用[J]. 武汉大学学报(信息科学版),2015,40(5):706–710.

    WU Hao,HUANG Chuang,ZHANG Jianhua,et al. Deformation monitoring system for high slope in open pit mine with the integration of GNSS and GIS[J]. Geomatics and Information Science of Wuhan University,2015,40(5):706–710.

    [8] 靳雨田. 利用SBAS-InSAR和幂指数Knothe模型监测矿区沉降方法研究[D]. 太原:太原理工大学,2023. JIN Yutian. Research on mining subsidence monitoring method based on SBAS-InSAR and exponent Knothe model[D]. Taiyuan:Taiyuan University of Technology,2023.
    [9] 李先波. D-InSAR技术在矿区沉降监测中的研究分析[J]. 北京测绘,2018,32(6):662–665. LI Xianbo. Study of differential InSAR in monitoring Jining mining-induced subsidence[J]. Beijing Surveying and Mapping,2018,32(6):662–665.
    [10] 张鲜妮,王磊. D-InSAR技术在淮南矿区沉陷监测中的试验研究[J]. 测绘与空间地理信息,2014,37(11):111–114. ZHANG Xianni,WANG Lei. Study on subsidence monitoring application in the Huainan mining area based on D-InSAR technique[J]. Geomatics & Spatial Information Technology,2014,37(11):111–114.
    [11] 柴华彬,胡吉彪,耿思佳. 融合实测数据的地表沉降SBAS-InSAR监测方法[J]. 煤炭学报,2021,46(增刊1):17–24. CHAI Huabin,HU Jibiao,GENG Sijia. SBAS-nSAR monitor-ing method of ground subsidence in mining areas by fusion with measured data[J]. Journal of China Coal Society,2021,46(Sup.1):17–24.
    [12] 朱建军,李志伟,胡俊. InSAR变形监测方法与研究进展[J]. 测绘学报,2017,46(10):1717–1733.

    ZHU Jianjun,LI Zhiwei,HU Jun. Research progress and methods of InSAR for deformation monitoring[J]. Acta Geodaetica et Cartographica Sinica,2017,46(10):1717–1733.

    [13]

    ZEBKER H A,ROSEN P A,GOLDSTEIN R M,et al. On the derivation of coseismic displacement fields using differential radar interferometry:The landers earthquake[J]. Journal of Geophysical Research:Solid Earth,1994,99(B10):19617–19634.

    [14] 许修敏. 注浆充填作用机理下地表移动变形规律研究[D]. 淮南:安徽理工大学,2015. XU Xiumin. Grouting filling surface movement deformation law under the mechanism of action research[D]. Huainan:Anhui University of Science & Technology,2015.
    [15] 李梦涛. 顾及主变形方向的采动影响下建筑物损坏评价及应用[D]. 湘潭:湖南科技大学,2023. LI Mengtao. Evaluation and application of building damage under mining influence considering the direction of main deformation[D]. Xiangtan:Hunan University of Science and Technology,2023.
    [16] 徐可心. 多尺度矿区地表形变监测及建筑物损坏评价研究[D]. 焦作:河南理工大学,2022. XU Kexin. Study on multi-scale surface deformation monitoring and building damage evaluation in mining area[D]. Jiaozuo:Henan Polytechnic University,2022.
    [17] 姚树一,张燕海,杨可明,等. 注浆采区地表形变时空演化SMD-InSAR监测分析法[J]. 测绘学报,2020,49(7):893–906. YAO Shuyi,ZHANG Yanhai,YANG Keming,et al. Spatial-temporal evolution of surface deformation in grouting mining area by SMD-InSAR monitoring-analysis method[J]. Acta Geodaetica et Cartographica Sinica,2020,49(7):893–906.
    [18] 王剑,董祥林,杨可明,等. 基于TSS-DInSAR方法的注浆采区地表动态沉降分析[J]. 中南大学学报(自然科学版),2020,51(7):1924–1935. WANG Jian,DONG Xianglin,YANG Keming,et al. Analysis on surface dynamic subsidence in grouting mining area based on TSS-DInSAR method[J]. Journal of Central South University (Science and Technology),2020,51(7):1924–1935.
    [19]

    YANG Zefa,LI Zhiwei,ZHU Jianjun,et al. An InSAR-based temporal probability integral method and its application for predicting mining-induced dynamic deformations and assessing progressive damage to surface buildings[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2018,11(2):472–484.

    [20]

    DIAO Xinpeng,BAI Zhihui,WU Kan,et al. Assessment of mining-induced damage to structures using InSAR time series analysis:A case study of Jiulong Mine,China[J]. Environmental Earth Sciences,2018,77(5):166.

    [21]

    DIAO Xinpeng,SUN Quanshuai,ZHANG Yan,et al. Spatiotemporal evolution law and the mechanism of abnormal surface deformation in fault-affected mining zones[J]. IEEE Access,2023,11:119733–119747.

    [22] 刘志强,周国庆,赵光思,等. 立井井筒表土层注浆加固过程的控制方法及应用[J]. 煤炭学报,2005,30(4):472–475.

    LIU Zhiqiang,ZHOU Guoqing,ZHAO Guangsi,et al. The control method and its application about the soil grouting reinforcement process in vertical shaft[J]. Journal of China Coal Society,2005,30(4):472–475.

    [23] 吕乐婷,陈圣波,车大为,等. D-InSAR原理及其数据处理流程[J]. 吉林大学学报(地球科学版),2008,38(增刊1):232–234. LYU Leting,CHEN Shengbo,CHE Dawei,et al. The principle and data processing flow of interferometry synthetic aperture radar[J]. Journal of Jilin University (Earth Science Edition),2008,38(Sup.1):232–234.
    [24]

    MASSONNET D,BRIOLE P,ARNAUD A. Deflation of Mount Etna monitored by spaceborne radar interferometry[J]. Nature,1995,375:567–570.

    [25]

    HU Jun,LI Zhiwei,ZHU Jianjun,et al. Inferring three-dimensional surface displacement field by combining SAR interferometric phase and amplitude information of ascending and descending orbits[J]. Science China Earth Sciences,2010,53(4):550–560.

    [26] 王世钦. D-InSAR技术提取形变信息的关键算法研究[D]. 成都:电子科技大学,2015. WANG Shiqin. Research on the key algorithm of deformation extraction using D-InSAR technology[D]. Chengdu:University of Electronic Science and Technology of China,2015.
    [27]

    HANSSEN B R F. Radar interferometry:Data interpretation and error analysis[M]. Dordrecht:Kluwer Academic,2001.

    [28] 张亚利,游扬声,兰敬松. 基线误差、相位误差和大气延迟误差对InSAR数据处理的影响分析[J]. 遥感技术与应用,2010,25(3):399–403.

    ZHANG Yali,YOU Yangsheng,LAN Jingsong. Error analysis of baseline,phase and atmosphere delay in InSAR data processing[J]. Remote Sensing Technology and Application,2010,25(3):399–403.

    [29] 单世铎. InSAR平地效应去除及相位噪声抑制方法研究[D]. 郑州:中国人民解放军信息工程大学,2005. SHAN Shiduo.Study on InSAR flat land effect removal and phase noise suppression methods[D]. Zhengzhou:Information Engineering University,2005.
    [30] 韩松,陈星彤,朱小凤. 三种InSAR干涉图滤波方法对比[J]. 矿山测量,2017,45(4):46–48.

    HAN Song,CHEN Xingtong,ZHU Xiaofeng. Comparison of three InSAR interferogram filtering methods[J]. Mine Surveying,2017,45(4):46–48.

    [31] 韩涛,黄家会,李建清. 基于光纤光栅传感技术的深井井壁结构监测[J]. 铁道工程学报,2011,28(11):88–92.

    HAN Tao,HUANG Jiahui,LI Jianqing. Monitoring of deep shaft lining structure using the fiber Bragg grating sensing technology[J]. Journal of Railway Engineering Society,2011,28(11):88–92.

    [32] 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[M]. 北京:煤炭工业出版社,2017.
计量
  • 文章访问数:  26
  • HTML全文浏览量:  2
  • PDF下载量:  4
  • 被引次数: 0
出版历程
  • 收稿日期:  2024-05-12
  • 修回日期:  2024-10-14

目录

    /

    返回文章
    返回