基于SAR/InSAR技术的雅鲁藏布江下游高位地质灾害早期识别

赵超英, 刘晓杰, 高杨, 冯晓松. 2022. 基于SAR/InSAR技术的雅鲁藏布江下游高位地质灾害早期识别. 地质力学学报, 28(6): 981-994. doi: 10.12090/j.issn.1006-6616.20222825
引用本文: 赵超英, 刘晓杰, 高杨, 冯晓松. 2022. 基于SAR/InSAR技术的雅鲁藏布江下游高位地质灾害早期识别. 地质力学学报, 28(6): 981-994. doi: 10.12090/j.issn.1006-6616.20222825
ZHAO Chaoying, LIU Xiaojie, GAO Yang, FENG Xiaosong. 2022. Early identification of high-elevation geohazards in the lower Yarlung Zangbo River based on the SAR/InSAR technology. Journal of Geomechanics, 28(6): 981-994. doi: 10.12090/j.issn.1006-6616.20222825
Citation: ZHAO Chaoying, LIU Xiaojie, GAO Yang, FENG Xiaosong. 2022. Early identification of high-elevation geohazards in the lower Yarlung Zangbo River based on the SAR/InSAR technology. Journal of Geomechanics, 28(6): 981-994. doi: 10.12090/j.issn.1006-6616.20222825

基于SAR/InSAR技术的雅鲁藏布江下游高位地质灾害早期识别

  • 基金项目:
    国家重点研发项目(2022YFC3004302);国家自然科学基金项目(41929001, 41874005)
详细信息
    作者简介: 赵超英(1976—), 男, 博士, 教授, 主要从事雷达遥感形变监测与地质灾害调查与监测方面的科研与教学工作。E-mail: cyzhao@chd.edu.cn
    通讯作者: 刘晓杰(1994—), 男, 在读博士, 主要从事雷达遥感滑坡早期识别与监测预报方面的科研工作。E-mail: Xiaojie_Liu_cd@163.com
  • 中图分类号: P694;P237

Early identification of high-elevation geohazards in the lower Yarlung Zangbo River based on the SAR/InSAR technology

  • Fund Project: This research is financially supported by the National Key R&D Program of China (Grant 2022YFC3004302) and the Natural Science Foundation of China (Grants No.41929001, 41874005)
More Information
  • 雅鲁藏布江下游位于印度板块和欧亚板块碰撞的前缘地带, 区域内新构造运动活跃, 高山分布众多, 属典型高山深切割区。由于独特的地质构造以及气候变化的影响, 区域内崩塌、滑坡、泥石流等地质灾害频发。文章采用Sentinel-1影像以及ALOS/PALSAR-2影像通过多种时序InSAR技术和SAR偏移量技术联合的方式对区域内2014—2020年高位地质灾害进行了识别。文章研究结果表明: 在研究区内共存在260处地质灾害形变区, 且大多位于海拔较高的沟道与山峰; 泽巴隆巴冰川沟中的岩崩形变体已经形成多条大型拉张裂缝, 一旦发生崩落极有可能形成堰塞湖; 受米林地震影响而复活的达波古滑坡后缘已经完全脱离, 左右两侧裂缝完全贯通, 滑坡一旦失稳会完全堵塞雅鲁藏布江。此研究提供了识别高山峡谷区高位地质灾害的SAR/InSAR技术方法, 为类似的地质灾害识别提供了参考。

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  • 图 1  研究区位置及所用SAR影像空间覆盖(位置图据公开的SRTM DEM数据绘制)

    Figure 1. 

    图 2  高山峡谷区高位地质灾害SAR/InSAR识别技术流程图

    Figure 2. 

    图 3  大气误差改正前后解缠图

    Figure 3. 

    图 4  相位解缠误差改正前后解缠图

    Figure 4. 

    图 5  米林-墨脱段2017年3月至2020年7月Sentinel-1数据地表形变速率

    Figure 5. 

    图 6  米林-墨脱段2014年9月至2020年5月ALOS/PALSAR-2数据地表形变速率

    Figure 6. 

    图 7  米林-墨脱段地质灾害编目图

    Figure 7. 

    图 8  距离雅鲁藏布江不同距离地质灾害分布

    Figure 8. 

    图 9  距离雅鲁藏布江不同距离地质灾害分布统计

    Figure 9. 

    图 10  探测大冰川运动位置分布

    Figure 10. 

    图 11  培龙贡支大冰川2019年8月29日至2019年9月29日方位向与视线向二维地表形变

    Figure 11. 

    图 12  果登冰川2020年1月至2020年4月南北向与东西向形变

    Figure 12. 

    图 13  泽巴隆巴沟岩崩危险隐患点2016年6月15日至2018年3月7日方位向与视线向二维形变

    Figure 13. 

    图 14  靠近雅鲁藏布江部分典型滑坡光学遥感影像

    Figure 14. 

    图 15  达波滑坡2016年6月15日至2018年3月7日方位向与视线向二维形变

    Figure 15. 

    表 1  所用SAR数据基本参数

    Table 1.  Fundamental parameters for SAR images used in this study

    传感器 波长 飞行方向 数量 覆盖时间 轨道号
    Sentinel-1 C 升轨 284 20170316—20200729 143、70、172
    ALOS/PALSAR-2 L 升轨 111 20140908—20200507 151、152
    下载: 导出CSV

    表 2  17处滑坡详细信息

    Table 2.  Detailed information of 17 landslides

    名称 纬度/(°) 经度/(°) 长度/m 宽度/m
    1# 29.786468 95.152247 963 371
    2# 29.793564 95.149608 355 300
    3# 29.796444 95.146486 371 323
    4# 29.803274 95.141786 167 180
    达波 29.870677 95.148463 1054 1089
    巴玉 29.843294 95.240246 2181 460
    落古#1 29.774817 95.250962 1151 708
    落古#2 29.773159 95.241469 394 597
    甘登#1 29.722749 95.302412 1127 565
    甘登#2 29.716898 95.293642 702 143
    龙列 29.706122 95.341190 462 322
    更帮 29.672205 95.351797 799 316
    根登 29.602529 95.359356 382 256
    帮辛 29.580460 95.372772 179 187
    宗荣 29.570525 95.308290 1254 449
    #5 28.626808 95.012731 657 793
    #6 28.369373 95.065375 594 915
    注:表中滑坡的名称基于地名命名,部分未命名原因是由于其分布在无人区;滑坡的长宽基于InSAR测量的形变区域而确定。
    下载: 导出CSV
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出版历程
收稿日期:  2022-08-20
修回日期:  2022-10-14
刊出日期:  2022-12-28

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