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“空天地”一体化技术在采空区形变监测中的应用

贾会会, 薛建志, 郭利召, 宋江涛, 张雨丛. “空天地”一体化技术在采空区形变监测中的应用[J]. 中国地质灾害与防治学报, 2023, 34(3): 69-82. doi: 10.16031/j.cnki.issn.1003-8035.202202015
引用本文: 贾会会, 薛建志, 郭利召, 宋江涛, 张雨丛. “空天地”一体化技术在采空区形变监测中的应用[J]. 中国地质灾害与防治学报, 2023, 34(3): 69-82. doi: 10.16031/j.cnki.issn.1003-8035.202202015
JIA Huihui, XUE Jianzhi, GUO Lizhao, SONG Jiangtao, ZHANG Yucong. Application of combined space, arial and ground based multiple technologies in deformation monitoring of mining areas[J]. The Chinese Journal of Geological Hazard and Control, 2023, 34(3): 69-82. doi: 10.16031/j.cnki.issn.1003-8035.202202015
Citation: JIA Huihui, XUE Jianzhi, GUO Lizhao, SONG Jiangtao, ZHANG Yucong. Application of combined space, arial and ground based multiple technologies in deformation monitoring of mining areas[J]. The Chinese Journal of Geological Hazard and Control, 2023, 34(3): 69-82. doi: 10.16031/j.cnki.issn.1003-8035.202202015

“空天地”一体化技术在采空区形变监测中的应用

详细信息
    作者简介: 贾会会(1983-),男,河北承德人,硕士研究生,高级工程师,主要从事水文地质、工程地质、环境地质相关工作。E-mail: 280738145@qq.com
    通讯作者: 薛建志(1990-),男,河北保定人,本科,工程师,主要从事水文地质、工程地质、环境地质相关工作。E-mail: 824789223@qq.com
  • 中图分类号: P642.26

Application of combined space, arial and ground based multiple technologies in deformation monitoring of mining areas

More Information
  • 河北滦平县张百湾镇周台子村由于多年矿山开采遗留下大量的采空区,部分采空区未做任何处理存在塌陷隐患,严重制约当地的经济发展和社会稳定。对该地区采空区形变调查和实地监测十分有必要。文中综合应用合成孔径雷达干涉测量技术、无人机摄影测量技术、三维激光扫描技术对采空区的空间分布进行划分确定和形变监测。首先应用小基线集技术对采空区进行地表形变解算。然后应用无人机数据构建研究区的三维模型,并通过多期无人机航飞数据,计算2次航飞间地表变化,佐证InSAR技术的结果。最后应用三维激光扫描技术,对部分重点区域进行三维激光扫描,建立采空区精细化模型。研究结果表明,三种技术的联合监测结果表现出高度的一致性,其中InSAR技术探测出研究区最大形变速率−25 mm/a,结合2期无人机正射模型DEM与三维激光扫描数据差分结果确定出采空区17处的高风险区域,部分区域对居民区和道路有影响。基于“空天地”一体化技术具有较高的可靠性,可应用于矿区采空区形变调查和地面沉降监测。

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  • 图 1  实验区基本概况

    Figure 1. 

    图 2  研究区全区正射影像图及细节展示

    Figure 2. 

    图 3  技术路线图

    Figure 3. 

    图 4  SBAS技术流程

    Figure 4. 

    图 5  无人机三维建模流程图

    Figure 5. 

    图 6  三维激光扫描建模流程图

    Figure 6. 

    图 7  研究区风险区确定流程图

    Figure 7. 

    图 8  InSAR地表形变图

    Figure 8. 

    图 9  无人机DTM差分地表形变图及实景模型(区块三)

    Figure 9. 

    图 10  LiDAR三维模型及DTM

    Figure 10. 

    图 11  LiDAR与二期无人机差分图

    Figure 11. 

    图 12  InSAR、无人机多角度对比综合分析图

    Figure 12. 

    图 13  区块1多结果叠合高风险采空区区域图

    Figure 13. 

    图 14  区块2多结果叠合高风险采空区区域图

    Figure 14. 

    图 15  区块3多结果叠合高风险采空区区域图

    Figure 15. 

    图 16  区块8多结果叠合高风险采空区区域图

    Figure 16. 

    表 1  研究区Sentinel-1数据

    Table 1.  Sentinel-1 data in the research area

    Sentinel-1A升轨影像数据集
    编号 成像日期 垂直基线/m 时间基线/d 多普勒频差/Hz 高程模糊度/m
    0 2018-11-06 0.00 0 0.00 0.00
    1 2018-12-12 57.96 36 −4.61 262.75
    2 2019-01-05 −8.46 60 7.27 1 799.97
    3 2019-02-10 95.92 96 3.33 158.75
    4 2019-03-06 113.21 120 5.57 134.52
    5 2019-04-11 125.46 156 −3.34 121.38
    6 2019-11-01 128.02 360 −5.10 118.96
    7 2019-12-07 74.24 396 −3.10 205.13
    8 2020-01-12 61.75 432 0.86 246.60
    9 2020-02-05 62.86 456 0.54 242.27
    10 2020-03-12 141.33 492 2.36 107.75
    11 2020-04-05 97.92 516 3.22 155.52
    Sentinel-1A降轨影像数据集
    编号 成像日期 垂直基线/m 时间基线/d 多普勒频差/Hz 高程模糊度/m
    0 2018-11-05 0.00 0 0.00 0.00
    1 2018-12-11 32.79 36 1.49 518.88
    2 2019-01-04 −30.31 60 3.69 561.38
    3 2019-02-09 17.13 96 1.14 993.06
    4 2019-03-05 −39.30 120 −7.84 432.96
    5 2019-04-10 61.11 156 −14.1 278.41
    6 2019-11-12 −31.83 372 −2.95 534.49
    7 2019-12-06 47.26 396 4.70 360.03
    8 2020-01-11 −58.43 432 −3.82 291.19
    9 2020-02-04 −9.43 456 1.16 1 805.11
    10 2020-03-11 −5.50 492 −7.30 3 095.02
    下载: 导出CSV
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出版历程
收稿日期:  2022-02-15
修回日期:  2022-04-26
录用日期:  2022-05-30
刊出日期:  2023-06-25

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