The long-term failure processes of a large reactivated landslide in the Xiluodu reservoir area based on InSAR technology

After the first impoundment of the reservoir, many landslides seriously threatened the safety of the reservoir. Accurate determination of the relationship between the landslide deformation characteristics and water-level fluctuations is crucial. However, with the increasing number of water-level fluctuation cycles, the deformation characteristics of the landslides were also changing, and long-term continuous monitoring to capture the failure process of reservoir landslides is necessary. A large reacted landslide in the Xiluodu reservoir was set as an example, using InSAR technology to seek its variations of deformation characteristics over nine years. The local deformation rate and annual maximum deformation area variation were analyzed by InSAR technology based on Sentinel-1 descending SAR data from October 2014 to June 2022. According to the regional deformation characteristics, the landslide was divided into three zones: Zone I above the elevation of 950 m; Zone II below it; the front edge of Zone II, where the collapse happened, was further divided into Zone III. In general, the accumulated deformation in Zone I was the largest, followed by Zone III, and Zone II was the smallest. The average deformation rate of Zone II was the smallest. Zone I of NLJL was mainly affected by the drawdown of reservoir water level, and the impacts of water-level rising and drawdown on Zone II and Zone III were similar. After analyzing a nine-year variation of the deformation area, the deformation mechanism of NLJL changed from a retrogressive type to a progressive one after the first impoundment and then changed back to a retrogressive one after 2017. The impact of reservoir impoundment on NLJL was most substantial in the first three years after the first impoundment.

[1]  W. Feng,et al.  The initial impoundment of the Baihetan reservoir region (China) exacerbated the deformation of the Wangjiashan landslide: characteristics and mechanism , 2022, Landslides.

[2]  Xin-li Hu,et al.  Displacement behaviour and potential impulse waves of the Gapa landslide subjected to the Jinping Reservoir fluctuations in Southwest China , 2022, Geomorphology.

[3]  M. Motagh,et al.  Multi-temporal landslide activity investigation by spaceborne SAR interferometry: The case study of the Polish Carpathians , 2021, Remote Sensing Applications: Society and Environment.

[4]  Zhenming Shi,et al.  Unsaturated slope stability around the Three Gorges Reservoir under various combinations of rainfall and water level fluctuation , 2019, Engineering Geology.

[5]  Robert E. Criss,et al.  Spatiotemporal deformation characteristics and triggering factors of Baijiabao landslide in Three Gorges Reservoir region, China , 2019, Geomorphology.

[6]  Yunzhi Tan,et al.  Deformation characteristics and stability evolution behavior of Woshaxi landslide during the initial impoundment period of the Three Gorges reservoir , 2019, Environmental Earth Sciences.

[7]  Mingsheng Liao,et al.  Surface displacements of the Heifangtai terrace in Northwest China measured by X and C-band InSAR observations , 2019, Engineering Geology.

[8]  X. Yao,et al.  Analysis of deformation characteristics for a reservoir landslide before and after impoundment by multiple D-InSAR observations at Jinshajiang River, China , 2019, Natural Hazards.

[9]  S. Loew,et al.  Multi-stage structural and kinematic analysis of a retrogressive rock slope instability complex (Preonzo, Switzerland) , 2019, Engineering Geology.

[10]  Gonghui Wang,et al.  A landslide induced by the 2016 Kumamoto Earthquake adjacent to tectonic displacement - Generation mechanism and long-term monitoring , 2019, Engineering Geology.

[11]  G. Fornaro,et al.  In situ and satellite long-term monitoring of the Latronico landslide, Italy: displacement evolution, damage to buildings, and effectiveness of remedial works , 2018, Engineering Geology.

[12]  Qiang Xu,et al.  Characterizing the spatial distribution and fundamental controls of landslides in the three gorges reservoir area, China , 2018, Bulletin of Engineering Geology and the Environment.

[13]  Da Huang,et al.  Understanding the triggering mechanism and possible kinematic evolution of a reactivated landslide in the Three Gorges Reservoir , 2017, Landslides.

[14]  Francesca Cigna,et al.  Exploitation of the Intermittent SBAS (ISBAS) algorithm with COSMO-SkyMed data for landslide inventory mapping in north-western Sicily, Italy , 2017 .

[15]  Michael A. Hicks,et al.  Investigation of retrogressive and progressive slope failure mechanisms using the material point method , 2016 .

[16]  Lei Zhang,et al.  3-D movement mapping of the alpine glacier in Qinghai-Tibetan Plateau by integrating D-InSAR, MAI and Offset-Tracking: Case study of the Dongkemadi Glacier , 2014 .

[17]  Zhenhong Li,et al.  Resolving three-dimensional surface displacements from InSAR measurements: A review , 2014 .

[18]  Fabio Bovenga,et al.  Investigating landslides and unstable slopes with satellite Multi Temporal Interferometry: Current issues and future perspectives , 2014 .

[19]  Paolo Paronuzzi,et al.  Influence of filling–drawdown cycles of the Vajont reservoir on Mt. Toc slope stability , 2013 .

[20]  Zhong Lu,et al.  Large-area landslide detection and monitoring with ALOS/PALSAR imagery data over Northern California and Southern Oregon, USA , 2012 .

[21]  Ramon F. Hanssen,et al.  Persistent Scatterer InSAR: A comparison of methodologies based on a model of temporal deformation vs. spatial correlation selection criteria , 2011 .

[22]  T. Wright,et al.  Multi-interferogram method for measuring interseismic deformation: Denali Fault, Alaska , 2007 .

[23]  Janusz Wasowski,et al.  Investigating landslides with space-borne Synthetic Aperture Radar (SAR) interferometry , 2006 .

[24]  Riccardo Lanari,et al.  A quantitative assessment of the SBAS algorithm performance for surface deformation retrieval from DInSAR data , 2006 .

[25]  C. Werner,et al.  Survey and monitoring of landslide displacements by means of L-band satellite SAR interferometry , 2005 .

[26]  H. Zebker,et al.  A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers , 2004 .

[27]  K. Feigl,et al.  Radar interferometry and its application to changes in the Earth's surface , 1998 .

[28]  R. Bamler,et al.  Synthetic aperture radar interferometry , 1998 .

[29]  I. Jefferson,et al.  Soil mechanics in engineering practice , 1997 .

[30]  Christophe Delacourt,et al.  Observation and modelling of the Saint-Étienne-de-Tinée landslide using SAR interferometry , 1996 .

[31]  L. Müller-Salzburg,et al.  The Vajont slide , 1987 .

[32]  R. Schuster,et al.  Reservoir-induced landslides , 1979 .

[33]  R. J. Mitchell,et al.  Mass instabilities in sensitive Canadian soils , 1979 .

[34]  Xiaoli Ding,et al.  Slope deformation prior to Zhouqu, China landslide from InSAR time series analysis , 2015 .

[35]  Shi Chang-bai Analysis on deformation and failure mechanism of Woshaxi landslide in the Three Gorges Reservoir Area , 2013 .

[36]  Cheng Xiao-ting Deformation failure mechanism of Baijiabao landslide in Xiangxi River Valley , 2007 .

[37]  Fred O. Jones,et al.  Landslides along the Columbia River valley, northeastern Washington, with a section on seismic surveys , 1961 .