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基于多源遥感数据的高位滑坡特征分析

王猛, 何德伟, 贾志宏, 胡至华. 基于多源遥感数据的高位滑坡特征分析——以广元市利州区荣山镇岩窝村滑坡为例[J]. 中国地质灾害与防治学报, 2023, 34(6): 57-68. doi: 10.16031/j.cnki.issn.1003-8035.202211045
引用本文: 王猛, 何德伟, 贾志宏, 胡至华. 基于多源遥感数据的高位滑坡特征分析——以广元市利州区荣山镇岩窝村滑坡为例[J]. 中国地质灾害与防治学报, 2023, 34(6): 57-68. doi: 10.16031/j.cnki.issn.1003-8035.202211045
WANG Meng, HE Dewei, JIA Zhihong, HU Zhihua. Analysis of high-position landslide characteristics based on multi-source remote sensing data:A case study of the Yanwo Village landslide in Rongshan Town, Lizhou District, Guangyuan City[J]. The Chinese Journal of Geological Hazard and Control, 2023, 34(6): 57-68. doi: 10.16031/j.cnki.issn.1003-8035.202211045
Citation: WANG Meng, HE Dewei, JIA Zhihong, HU Zhihua. Analysis of high-position landslide characteristics based on multi-source remote sensing data:A case study of the Yanwo Village landslide in Rongshan Town, Lizhou District, Guangyuan City[J]. The Chinese Journal of Geological Hazard and Control, 2023, 34(6): 57-68. doi: 10.16031/j.cnki.issn.1003-8035.202211045

基于多源遥感数据的高位滑坡特征分析

  • 基金项目: 中国华电集团有限公司科研项目(JS-LW-FW/ZX-084;JS-YBT-FW/YF-2022-30);成都市地质环境监测站委托项目(2068-2340ZHBC-1621)
详细信息
    作者简介: 王 猛(1980-),男,重庆北碚人,硕士,高级工程师,主要从事地质灾害遥感应用研究工作。E-mail:wangmengscrs@qq.com
    通讯作者: 何德伟(1980-) ,男,四川眉山人,硕士,高级工程师,主要从事地质灾害调查评价与防治工作。E-mail:68195493@qq.com
  • 中图分类号: P642.22

Analysis of high-position landslide characteristics based on multi-source remote sensing data:A case study of the Yanwo Village landslide in Rongshan Town, Lizhou District, Guangyuan City

More Information
  • 2021年10月6日13时许,四川省广元市利州区荣山镇岩窝村三组发生高位滑坡灾害。滑坡造成4处民房、3条电力线路被毁,掩埋170 m长的乡村公路,堵塞河道350 m。利用高位滑坡滑前多期卫星数据、滑坡滑后高精度无人机航空影像以及机载LiDAR数据等多源遥感信息源,采用三维立体+时间的四维分析方法,研究高位滑坡特征及其滑动模式。从高位滑坡发育背景入手,通过高位滑坡滑前变形特征以及高位滑动过程动态分析,总结高位滑坡变形破坏特征及滑动模式。根据滑坡已经发生过程推演及后部残留滑坡体稳定性分析结果,预测分析高位滑坡未来滑动的三种滑动模式:一是滑坡后缘继续错落和活动,挤压前部滑坡体直接剪出;二是滑坡后缘继续错落和活动,沿着已有滑坡通道发生推移式滑坡;三是前部滑坡体启动,引发中后部滑坡体发生牵引式滑坡。高位滑坡在西南山区屡见不鲜,在早期地质灾害隐患调查中应有效识别、加强防灾减灾措施。

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  • 图 1  “10•6”岩窝村滑坡无人机航测影像

    Figure 1. 

    图 2  研究工作流程图

    Figure 2. 

    图 3  2013—2016年滑坡变形影像

    Figure 3. 

    图 4  2016—2021年滑坡变形影像

    Figure 4. 

    图 5  滑坡形成的拉张裂缝

    Figure 5. 

    图 6  纵向边界特点

    Figure 6. 

    图 7  公路横向贯通裂缝

    Figure 7. 

    图 8  滑坡前缘堰塞湖

    Figure 8. 

    图 9  滑坡后壁直立陡坡照片

    Figure 9. 

    图 10  滑坡后原房子荡然无存

    Figure 10. 

    图 11  1-1’纵剖面

    Figure 11. 

    图 12  2-2’纵剖面

    Figure 12. 

    表 1  岩窝村滑坡多源遥感数据列表

    Table 1.  List of multi-source remote sensing data for the Yanwo Village landslide

    序号 数据日期 数据类型 分辨率/m 数据来源
    1 2013-02-12 光学卫星 0.5 Google地球
    2 2013-03-05 光学卫星 0.5 Google地球
    3 2013-04-01 光学卫星 0.5 Google地球
    4 2014-10-05 光学卫星 0.5 Google地球
    5 2014-11-30 光学卫星 0.5 Google地球
    6 2015-05-29 光学卫星 0.5 Google地球
    7 2016-06-07 光学卫星 0.5 Google地球
    8 2018-01-17 光学卫星 0.5 Google地球
    9 2019-06-03 光学卫星 0.5 Google地球
    10 2019-09-22 光学卫星 0.5 Google地球
    11 2020-03-17 光学卫星 0.8 高分二号卫星
    12 2020-04-30 光学卫星 0.8 高分二号卫星
    13 2020-05-05 光学卫星 0.8 高分二号卫星
    14 2020-07-13 光学卫星 0.8 高分二号卫星
    15 2021-01-21 光学卫星 0.8 高分二号卫星
    16 2021-02-05 光学卫星 0.8 高分二号卫星
    17 2021-02-20 光学卫星 0.8 高分二号卫星
    18 2021-03-01 光学卫星 0.8 高分七号卫星
    19 2021-09-19 光学卫星 0.8 高分七号卫星
    20 2021-09-20 光学卫星 0.8 高分二号卫星
    21 2021-10-17 无人机航空影像 0.2 深圳飞马机器人
    科技有限公司
    22 2021-10-26 激光雷达数据 0.05 深圳飞马机器人
    科技有限公司
    23 2021-10-26 无人机航空影像 0.2 深圳飞马机器人
    科技有限公司
    24 2021-11-28 无人机航空影像 0.2 深圳飞马机器人
    科技有限公司
    下载: 导出CSV

    表 2  岩土体主要物理力学性质指标

    Table 2.  Key physical and mechanical properties of rock and soil mass

    岩土名称天然重度
    /(kN·m−3
    饱和重度
    /(kN·m−3
    天然抗剪强度指标
    黏聚力/kPa内摩擦角/(°)
    滑体17.017.616.015.0
    粉质黏土(硬塑)18.018.218.023.0
    基岩20.020.430.015.0
    下载: 导出CSV
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出版历程
收稿日期:  2022-11-23
修回日期:  2023-07-24
录用日期:  2023-08-26
刊出日期:  2023-12-25

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