基于时序InSAR技术的木鱼包滑坡时空变形特征分析

刘艺梁; 樊西丰; 申高伟; 左清军; 唐玄; 李永奕; 朱前

doi:10.19509/j.cnki.dzkq.tb20240489

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基于时序InSAR技术的木鱼包滑坡时空变形特征分析

更新时间：2026-11-05

- 基于时序InSAR技术的木鱼包滑坡时空变形特征分析
- Bulletin of Geological Science and Technology Vol. 44, Issue 2, Pages: 78-93(2025)
- 作者机构：
  
  1. 三峡大学三峡库区地质灾害教育部重点实验室
  2. 三峡大学防灾减灾湖北省重点实验室
  3. 三峡大学土木与建筑学院
- 作者简介：
- 基金信息：
- DOI：10.19509/j.cnki.dzkq.tb20240489
  CLC： P237;P642.22
- Online First：18 November 2024，
  
  Published：2025
- 稿件说明：
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刘艺梁, 樊西丰, 申高伟, et al. 基于时序InSAR技术的木鱼包滑坡时空变形特征分析[J]. Bulletin of Geological Science and Technology, 2025, 44(2): 78-93.
DOI：

刘艺梁, 樊西丰, 申高伟, et al. 基于时序InSAR技术的木鱼包滑坡时空变形特征分析[J]. Bulletin of Geological Science and Technology, 2025, 44(2): 78-93. DOI： 10.19509/j.cnki.dzkq.tb20240489.

摘要

自2003年三峡库区蓄水以来，木鱼包滑坡持续变形，严重威胁长江航运和库区人民生命财产安全。为全面精准地分析滑坡地表变形信息，采用斯坦福永久散射体-多时相InSAR(StaMPS-MTI)技术和短基线集时序InSAR(SBAS-InSAR)技术结合哨兵一号数据反演木鱼包滑坡2017-2022年的地表形变，并与全球导航卫星系统（GNSS）监测数据进行对比分析，结合2种技术的优点，点面结合对滑坡的时空变形特征进行了分区研究。研究结果表明：InSAR技术得到的形变信息可靠，2种时序InSAR技术各有优劣；对比各个分区的形变速率区间值，滑坡东侧坡面（-30.6～-46.2 mm/a）>主滑面东侧（-25.2～-37.8 mm/a）>主滑面西侧（-21.5～-31.5 mm/a）。在InSAR形变结果和前人研究基础上，对木鱼包滑坡变形模式进行了总结：木鱼包滑坡变形受降雨和库水影响，分为整体变形和局部变形2种。在高水位运行期，滑坡受浮托减重作用发生整体变形，库水阈值约为168 m。强降雨入渗岩体使地下水位升高，促使整体变形的同时，影响浅层土体和破碎岩体导致局部变形。在库水位下降期，滑坡受浮托减重和动水压力共同影响，其中浮托减重作用占主导地位，动水压力存在约36 d的滞后时间。在低水位运行期和库水位上升期，整体变形停止，强降雨使局部变形区发生变形。研究结果证明时序InSAR技术可以有效识别和监测滑坡，可以为地质灾害防治、风险评价提供技术支撑。

Abstract

Since the impoundment of the Three Gorges Reservoir Area in 2003

the Muyubao landslide has continuously deformed

posing significant risks to Yangtze River navigation and the safety of people's lives and property in the reservoir area. ObjectiveTo more comprehensively and accurately analyze the surface deformation information of the landslide

Methodsthis study employs the Stanford method for persistent scatterers-multi-temporal InSAR (StaMPS-MTI) and small baseline subset InSAR (SBAS-InSAR) technology

combined with Sentinel-1 data

to invert the deformation information of the Muyubao landslide from 2017 to 2022. The deformation information is compared with GNSS monitoring data

and a regional analysis of the spatio-temporal deformation characteristics of the landslide is conducted by integrating the advantages of both technologies through a combination of point and surface measurements. ResultsThe results confirm that the deformation information obtained by InSAR technology is reliable

and each time-series InSAR technology has its own strengths and limitations. Specifically

the deformation rate intervals are as follows: the eastern slope of the landslide (−30.6 to −46.2 mm/year) > the eastern side of the major slipping plane (−25.2 to −37.8 mm/year) > the western side of the major slipping plane (−21.5 to −31.5 mm/year). ConclusionBased on the InSAR deformation results and previous studies

the deformation mode of the Muyubao landslide can be summarized as follows: the landslide undergoes overall and local deformation influenced by rainfall and reservoir water levels. During high water level periods

buoyancy-induced weight loss causes overall deformation

with a critical water level threshold of approximately 168 m. Heavy rainfall infiltrates the rock mass

raising the groundwater level

which promotes overall deformation and triggers local deformation in shallow soil and fractured rock masses. During the reservoir water decline period

the landslide is influenced by both buoyancy-induced weight loss and hydrodynamic pressure

with buoyancy effects being dominant; the hydrodynamic pressure effect lags by about 36 days. During low water level and rising water periods

overall deformation ceases

and heavy rainfall primarily causes localized deformation. The results indicate that time-series InSAR technology can effectively identify and monitor landslides

providing technical support for geological disaster prevention and risk assessment.

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