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利用2015-2019年Sentinel-1数据监测武汉白沙洲岩溶区地表沉降特征

杨辰 邓飞 史绪国

杨 辰,邓 飞,史绪国. 利用2015-2019年Sentinel-1数据监测武汉白沙洲岩溶区地表沉降特征[J]. 中国岩溶,2023,42(3):558-564 doi: 10.11932/karst2023y018
引用本文: 杨 辰,邓 飞,史绪国. 利用2015-2019年Sentinel-1数据监测武汉白沙洲岩溶区地表沉降特征[J]. 中国岩溶,2023,42(3):558-564 doi: 10.11932/karst2023y018
YANG Chen, DENG Fei, SHI Xuguo. Monitoring subsidence characteristics of Baishazhou karst area in Wuhan with Sentinel-1 images from 2015 to 2019[J]. CARSOLOGICA SINICA, 2023, 42(3): 558-564. doi: 10.11932/karst2023y018
Citation: YANG Chen, DENG Fei, SHI Xuguo. Monitoring subsidence characteristics of Baishazhou karst area in Wuhan with Sentinel-1 images from 2015 to 2019[J]. CARSOLOGICA SINICA, 2023, 42(3): 558-564. doi: 10.11932/karst2023y018

利用2015-2019年Sentinel-1数据监测武汉白沙洲岩溶区地表沉降特征

doi: 10.11932/karst2023y018
基金项目: 中国地质调查项目(DD20190432,DD20190343)
详细信息
    作者简介:

    杨辰(1989-),男,硕士,工程师,研究方向:岩溶地质信息化、岩溶区地质灾害识别与监测。E-mail:ychen@mail.cgs.gov.cn

  • 中图分类号: P642.2;U231.94

Monitoring subsidence characteristics of Baishazhou karst area in Wuhan with Sentinel-1 images from 2015 to 2019

  • 摘要: 武汉市白沙洲地区覆盖型岩溶分布广,地质条件十分复杂,历史上多次发生岩溶塌陷,地质问题突出,需要利用有效手段监测区域性地面塌陷,及时发现隐患。文章利用时序InSAR技术对覆盖2015年4月至2019年9月升轨Sentinel-1数据集分析,获取了武汉白沙洲地区地面沉降分布情况,最大年平均变形速率达30 mm·a−1。对典型沉降中心的时序变形分析表明,白沙洲地区的岩溶区地面沉降与季节性降雨密切相关,且有一定的滞后。同时,对武汉地铁6号线车辆段的分析发现,日益加剧的人类活动引起严重的地面沉降,因此需密切注意周围建筑与基础设施的安全问题。本文的实验证明了时序InSAR方法在地表变形监测中的有效性,可在岩溶区地质灾害防治发挥重要作用。

     

  • 图  1  实验区地貌分区

    Figure  1.  Geomorphological zoning of the experimental area

    图  2  Sentinel-1干涉对组合

    Figure  2.  Sentinel-1 interference pair combination

    图  3  利用Sentinel-1数据提取的实验区平均变形速率图

    Figure  3.  Average deformation rate of experimental area extracted by Sentinel-1 data

    图  4  白沙洲岩溶区地面沉降速率图

    Figure  4.  Land subsidence rate in the karst area of Baishazhou

    图  5  P1点累积沉降与降雨

    Figure  5.  Cumulative settlement and rainfall at P1

    图  6  地铁6号线地面沉降速率图

    Figure  6.  Ground subsidence rate of Metro Line 6

    图  7  P2点累积沉降与降雨

    Figure  7.  Cumulative settlement and rainfall at P2

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  • 收稿日期:  2022-07-05
  • 网络出版日期:  2023-04-19
  • 刊出日期:  2023-06-30

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