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

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

doi: 10.16031/j.cnki.issn.1003-8035.202211045

王猛^1,,
何德伟^2, ,,
贾志宏^3,,
胡至华⁴

1.
四川省综合地质调查研究所(稀有稀土战略资源评价与利用四川省重点实验室)，四川成都　610081
2.
中建鸿腾建设集团有限公司，四川成都　610213
3.
成都市地质环境监测站，四川成都　610095
4.
绵阳科技城发展投资（集团）有限公司，四川绵阳　621000)

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：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
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出版历程
- 收稿日期: 2022-11-23
- 录用日期: 2023-08-26
- 修回日期: 2023-07-24
- 网络出版日期: 2023-09-01

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

Meng WANG^1
,,
Dewei HE^{2
, ,},
Zhihong JIA^3
,,
Zhihua HU⁴

1.
Evaluation and Utilization of Strategic Rare Metals and Rare Earth Resource Key Laboratory of Sichuan Province, Sichuan Institute of Comprehensive Geological Survey, Chengdu, Sichuan　610081, China
2.
Zhongjian Hoton Construction Group Co. Ltd., Chengdu, Sichuan　610213, China
3.
Chengdu Geological Environment Monitoring Station, Chengdu, Sichuan　610095, China
4.
Mianyang Science Technology City Development Investment （Group） Co. Ltd., Mianyang, Sichuan　621000, China

摘要

摘要: 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。
- 多源遥感 /
- 高位滑坡 /
- 变形特征 /
- 破坏特征 /
- 滑动模式
Abstract: On October 6, 2021, a high-position landslide disaster occurred in Yanwo Village, Rongshan Town, Lizhou District, Guangyuan City,Sichuan Province, around 13: 00. The landslide resulted in the destruction of 4 houses, 3 power lines, the burial of a 170-meter-long rural road, and the blockage of a 350-meter-long river channel. By utilizing a variety of remote sensing information sources, including multi-period satellite data before and after landslide, high-precision UAV aerial images, and airborne LiDAR data, the characteristics of high landslide and its sliding mode are studied by using a four-dimensional analysis approach combining three-dimensional space with time. Starting from the development background of high landslide, the deformation and failure characteristics and sliding mode of high landslide are summarized by analyzing the deformation characteristics before sliding and the dynamic procession of the high landslide. Based on the deduced landslide progression and the stability evaluation of the residual landslide at the rear, three sliding modes for future high-position landslide events are predicted and analyzed: Firstly, the back edge of landslide continues to be disjointed and move, causing a direct shear failure of the front part of the landslide by squeezing. Secondly, the trailing edge of the landslide continues to be disjointed and move, resulting in the sliding landslide occurs along the existing landslide channel. Thirdly, the initiation of the front part of the landslide trigger a tractional landslide in the middle and rear parts of the landslide. High-position landslides are common in the southwest mountainous areas, and during early geological hazard investigations, they should be effectively identified, and disaster prevention and mitigation measures should be strengthened.
- multi-source remote sensing /
- high-position landslide /
- deformation characteristics /
- failure characteristics /
- sliding mode

HTML全文

图 1 “10·6”岩窝村滑坡无人机航测影像

Figure 1. “Oct. 6th” Yanwo Village landslide aerial survey photography image of UAV

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图 2 研究工作流程图

Figure 2. Workflow chart of the research process

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图 3 2013—2016年滑坡变形影像

Figure 3. Landslide deformation images from 2013 to 2016

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图 4 2016—2021年滑坡变形影像

Figure 4. Landslide deformation images from 2016 to 2021

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图 5 滑坡形成的拉张裂缝

Figure 5. Tensional fissure triggered by the landside

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图 6 纵向边界特点

Figure 6. Longitudinal boundary characteristics

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图 7 公路横向贯通裂缝

Figure 7. Transverse penetrating crack

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图 8 滑坡前缘堰塞湖

Figure 8. Landslide front edge barrier lake

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图 9 滑坡后壁直立陡坡照片

Figure 9. Photograph of the steep vertical backslope of the landslide

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图 10 滑坡后原房子荡然无存

Figure 10. Former houses completely destroyed after landslide

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图 11 1-1’纵剖面

Figure 11. Profile 1-1’ longitudinal cross-section

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图 12 2-2’纵剖面

Figure 12. Profile 2-2’ longitudinal cross-section

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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

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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
岩土名称	天然重度 /（kN·m⁻³）	饱和重度 /（kN·m⁻³）	黏聚力/kPa	内摩擦角/（°）
滑体	17.0	17.6	16.0	15.0
粉质黏土（硬塑）	18.0	18.2	18.0	23.0
基岩	20.0	20.4	30.0	15.0

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基于多源遥感数据的高位滑坡特征分析

doi: 10.16031/j.cnki.issn.1003-8035.202211045

作者简介:
王猛：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

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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

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留言板

基于多源遥感数据的高位滑坡特征分析

doi: 10.16031/j.cnki.issn.1003-8035.202211045

作者简介: 王猛：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

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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

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作者简介:
王猛：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