Coupling InSAR and numerical modeling for characterizing landslide movements under complex loads in urbanized hillslopes

被引:0
|
作者
Peifeng Ma
Yifei Cui
Weixi Wang
Hui Lin
Yuanzhi Zhang
机构
[1] The Chinese University of Hong Kong,Institute of Space and Earth Information Science
[2] The Chinese University of Hong Kong,Shenzhen Research Institute
[3] Tsinghua University,State Key Laboratory of Hydroscience and Engineering
[4] Shenzhen University,Research Institute for Smart Cities, School of Architecture and Urban Planning
[5] Jiangxi Normal University,School of Geography and Environment
[6] University of Chinese Academy of Sciences,undefined
来源
Landslides | 2021年 / 18卷
关键词
InSAR; Landslide movements; Numerical modeling; Seasonal movements; Body loads; Construction;
D O I
暂无
中图分类号
学科分类号
摘要
Landslides, as a representative geohazard in fault zones, threaten the safety of buildings and infrastructure. Landslide movements are often subject to multiple loads in urbanized hillslopes from both natural and human activity. Synthetic aperture radar interferometry (InSAR) has been used to measure landslide movements. Used independently, InSAR can measure only surface deformation, and the points are sparse. Numerical modeling can simulate the full-scale movements, but it requires a prior knowledge of soil properties that are often not available in practice. To address these limitations, we proposed to couple InSAR and numerical modeling for characterizing landslide movements under multiple loads. We used 60 ascending and 56 descending Sentinel-1 images to measure surface movements in urbanized Daguan County Town. Of 31 landslides in the inventory map, 24 were successfully identified. The InSAR results assisted in determining the optimal soil properties through back-analysis. We used geological, geotechnical, and meteorological data to set three boundary conditions, that is, body loads, precipitation-induced hydraulic conditions, and construction-induced forces. Landslide mobility was demonstrated more distinctly using the coupled analysis. The numerical results revealed that body loads dominated the cumulative downslope movements by squeezing water and air from voids, and precipitation caused seasonal movements with the direction perpendicular to the slope surface. Construction works caused permanent changes (accelerating and decelerating) in time-series trends. Coupling InSAR and numerical modeling can facilitate analysis of the effects of complex loads and potentially predict future deformation. The method developed can be extended to study other urbanized landslide areas for early warning and risk mitigation.
引用
收藏
页码:1611 / 1623
页数:12
相关论文
共 50 条
  • [1] Coupling InSAR and numerical modeling for characterizing landslide movements under complex loads in urbanized hillslopes
    Ma, Peifeng
    Cui, Yifei
    Wang, Weixi
    Lin, Hui
    Zhang, Yuanzhi
    LANDSLIDES, 2021, 18 (05) : 1611 - 1623
  • [2] Landslide risk reduction by coupling monitoring and numerical modeling
    Bozzano, Francesca
    Cipriani, Ivan
    Esposito, Carlo
    Martino, Salvatore
    Mazzanti, Paolo
    Prestininzi, Alberto
    Rocca, Alberto Prestininzi
    Mugnozza, Gabriele Scarascia
    Italian Journal of Engineering Geology and Environment, 2013, 2013 (TOPIC3): : 315 - 322
  • [3] NUMERICAL MODELING OF CONCRETE UNDER THERMAL LOADS
    MARCHERTAS, AH
    KULAK, RF
    NUCLEAR ENGINEERING AND DESIGN, 1982, 68 (02) : 225 - 236
  • [4] Numerical modeling development for characterizing complex GPR problems
    Lee, KH
    Venkatarayalu, NV
    Chen, CC
    Teixeira, F
    Lee, R
    GPR 2002: NINTH INTERNATIONAL CONFERENCE ON GROUND PENETRATING RADAR, 2002, 4758 : 652 - 656
  • [5] Assessing Urban Landslide Dynamics through Multi-Temporal InSAR Techniques and Slope Numerical Modeling
    Necula, Nicusor
    Niculita, Mihai
    Fiaschi, Simone
    Genevois, Rinaldo
    Riccardi, Paolo
    Floris, Mario
    REMOTE SENSING, 2021, 13 (19)
  • [6] An Integrated InSAR-Borehole Inclinometer-Numerical Modeling Approach to the Assessment of a Slow-Moving Landslide
    Francioni, Mirko
    Stead, Doug
    Sharma, Jayanti
    Clague, John J.
    Brideau, Marc-Andre
    ENVIRONMENTAL & ENGINEERING GEOSCIENCE, 2021, 27 (03): : 287 - 305
  • [7] An integrated insar-borehole inclinometer-numerical modeling approach to the assessment of a slow-moving landslide
    FRANCIONI M.
    STEAD D.
    SHARMA J.
    CLAGUE J.J.
    BRIDEAU M.-A.
    Environmental and Engineering Geoscience, 2021, 27 (03) : 287 - 305
  • [8] Hydromechanical assessment of a complex landslide through geophysics and numerical modeling: Toward an upgrade for the Villerville landslide (Normandy, France)
    Thirard, Guillaume
    Thiery, Yannick
    Gourdier, Sebastien
    Grandjean, Gilles
    Maquaire, Olivier
    Francois, Benjamin
    Bitri, Adnand
    Coulibaly, Salimata
    Lissak, Candide
    Costa, Stephane
    ENGINEERING GEOLOGY, 2022, 297
  • [9] Numerical Analyses on Fatigue Life for Compressor Blades under Complex Loads
    Zhang J.
    Liu M.
    Fu X.
    Kou H.
    Lin J.
    Fu, Xi (fuxi22@tju.edu.cn), 1600, Chinese Mechanical Engineering Society (28): : 1442 - 1448and1467
  • [10] The development and application of numerical platform for threaded connections under complex loads
    Di Q.-F.
    Song H.-T.
    Chen F.
    Wang W.-C.
    Zhang H.
    Jin Z.-Z.
    Chen, Feng (chenfeng536@126.com), 1600, Tsinghua University (34): : 295 - 299