Characterizing the evolution of the Daguangbao landslide nearly 15 years after the 2008 Wenchuan earthquake by InSAR observations

被引:2
作者
Chen, Yi [1 ,2 ,3 ]
Song, Chuang [1 ,3 ,4 ]
Li, Zhenhong [1 ,3 ,4 ]
Yu, Chen [1 ,3 ,4 ]
Liu, Zhenjiang [1 ,2 ,3 ]
Zhang, Xuesong [1 ,2 ,3 ]
Chen, Bo [1 ,2 ,3 ]
Hu, Xiaoning [1 ,2 ,3 ]
机构
[1] Changan Univ, Coll Geol Engn & Geomatics, Xian 710054, Peoples R China
[2] Changan Univ, Big Data Ctr Geosci & Satellites, Xian 710054, Peoples R China
[3] Key Lab Loess, Xian 710054, Peoples R China
[4] Minist Educ, Key Lab Western Chinas Mineral Resources & Geol En, Xian 710054, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Daguangbao landslide; InSAR; Post-seismic kinematics; Stabilization time; Landslide thickness; Risk assessment; DEBRIS FLOWS; TIME-SERIES; DEFORMATION; RAINFALL; FAULT; GPS; RUPTURE; CHINA; AREA;
D O I
10.1016/j.enggeo.2024.107748
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
The Daguangbao landslide (DGBL), the largest landslide triggered by the 2008 Ms 8.0 Wenchuan earthquake, has received much attention, but its long-term post-earthquake evolution and driving force of activity are still poorly understood. As the evolutionary behavior of the DGBL is complicated by the influence of mainshock, aftershocks and rainfall, it is of great significance to study the dynamics of the landslide. In this study, a systematic and comprehensive framework for assessing the long-term stability and risk of co-seismic landslides was proposed. Based on ALOS-1 and Sentinel-1 data, time-series InSAR technology was used to reveal the nearly 15-year postseismic evolution characteristics of the DGBL at different stages, followed by the prediction of the stabilization time, the estimation of the landslide thickness and risk assessment. The first stage was identified as three years after the earthquake (2008-2011). During this stage, ALOS-1 results show that the deformation of DGBL was intense (300 mm/year) with uneven spatial distribution, and an aftershock (Ms 5.3), along with increased rainfall, triggered its acceleration in 2009. The second stage was the period from 2014 to 2022. For this stage, we used the mass conservation approach to invert the thickness of the DGBL, revealing that a new sliding surface and thickness center had formed following the co-seismic failure in 2008. Sentinel-1 time series results indicated that the DGBL remains active even 15 years after the Wenchuan earthquake, but the deformation of DGBL has significantly slowed down (50 mm/year). The stabilization time for different segments of DGBL was predicted to range from 2027 to 2040 according to an exponential model. Beyond the overall trend of recovery, seasonal movements (including localized acceleration in 2021) closely related to rainfall remained evident, but the impact of aftershocks on the DGBL was severely weakened over time. UAV and field survey results suggested that the risk of localized debris flows at DGBL still exists. Our study improves our understanding of the long-term evolutionary pattern of DGBL and provides an important reference for post-earthquake landslide risk assessment and disaster prevention.
引用
收藏
页数:18
相关论文
共 67 条
  • [1] A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms
    Berardino, P
    Fornaro, G
    Lanari, R
    Sansosti, E
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2002, 40 (11): : 2375 - 2383
  • [2] Rain and small earthquakes maintain a slow-moving landslide in a persistent critical state
    Bontemps, Noelie
    Lacroix, Pascal
    Larose, Eric
    Jara, Jorge
    Taipe, Edu
    [J]. NATURE COMMUNICATIONS, 2020, 11 (01)
  • [3] Landslide velocity, thickness, and rheology from remote sensing: La Clapiere landslide, France
    Booth, Adam M.
    Lamb, Michael P.
    Avouac, Jean-Philippe
    Delacourt, Christophe
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2013, 40 (16) : 4299 - 4304
  • [4] Detection and characterization of slow-moving landslides in the 2017 Jiuzhaigou earthquake area by combining satellite SAR observations and airborne Lidar DSM
    Cai, Jiehua
    Zhang, Lu
    Dong, Jie
    Dong, Xiujun
    Li, Menghua
    Xu, Qiang
    Liao, Mingsheng
    [J]. ENGINEERING GEOLOGY, 2022, 305
  • [5] Predictability of hydraulic head changes and characterization of aquifer-system and fault properties from InSAR-derived ground deformation
    Chaussard, E.
    Buergmann, R.
    Shirzaei, M.
    Fielding, E. J.
    Baker, B.
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2014, 119 (08) : 6572 - 6590
  • [6] Automatic detection of active geohazards with millimeter-to-meter-scale deformation and quantitative analysis of factors influencing spatial distribution: A case study in the Hexi corridor, China
    Chen, Bo
    Li, Zhenhong
    Song, Chuang
    Yu, Chen
    Zhu, Wu
    Liu, Zhenjiang
    Han, Bingquan
    Du, Jiantao
    Zhang, Chenglong
    Xu, Fu
    Peng, Jianbing
    [J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2024, 131
  • [7] The long-term evolution of landslide activity near the epicentral area of the 2008 Wenchuan earthquake in China
    Chen, M.
    Tang, C.
    Xiong, J.
    Shi, Q. Y.
    Li, N.
    Gong, L. F.
    Wang, X. D.
    Tie, Y.
    [J]. GEOMORPHOLOGY, 2020, 367
  • [8] Quantification of mass wasting volume associated with the giant landslide Daguangbao induced by the 2008 Wenchuan earthquake from persistent scatterer InSAR
    Chen, Qiang
    Cheng, Haiqin
    Yang, Yinghui
    Liu, Guoxiang
    Liu, Liyao
    [J]. REMOTE SENSING OF ENVIRONMENT, 2014, 152 : 125 - 135
  • [9] Prediction of InSAR deformation time-series using a long short-term memory neural network
    Chen, Yi
    He, Yi
    Zhang, Lifeng
    Chen, Youdong
    Pu, Hongyu
    Chen, Baoshan
    Gao, Liya
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2021, 42 (18) : 6921 - 6944
  • [10] Landslides induced by the 2008 Wenchuan earthquake, Sichuan, China
    Chigira, Masahiro
    Wu, Xiyong
    Inokuchi, Takashi
    Wang, Gonghui
    [J]. GEOMORPHOLOGY, 2010, 118 (3-4) : 225 - 238