Enhanced Rainfall-Induced Shallow Landslide Activity Following Seismic Disturbance-From Triggering to Healing

被引:9
|
作者
Leshchinsky, Ben [1 ]
Lehmann, Peter [2 ]
Or, Dani [2 ,3 ]
机构
[1] Oregon State Univ, Dept Forest Engn Resources & Management, Corvallis, OR 97331 USA
[2] Swiss Fed Inst Technol, Soil & Terr Environm Phys, Inst Biogeochem & Pollutant Dynam, Zurich, Switzerland
[3] Desert Res Inst, Div Hydrol Sci, Reno, NV USA
基金
美国国家科学基金会;
关键词
earthquakes; geomechanics; hydrology; landslides; modeling; post-seismic;
D O I
10.1029/2020JF005669
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Evidence suggests that following earthquakes, landslide activity, and susceptibility remain elevated for months to years after cessation of shaking. In landslides constrained within the soil mantle, enhanced post-seismic activity may be attributed to persistence of progressive failure surface development that results in delayed triggering. With subsequent post-seismic hydrologic disturbance, a commensurate decay in activity over time reflects evacuation of damaged hillslope materials and mechanical healing of colluvial media and vegetation recovery. In this study, we propose a hydromechanical model for representing the interplay of these processes including trends in timing and magnitude of post-seismic shallow landslide activity. The hydromechanical model considers seismic or hydrologic disturbances as drivers for failure surface development in the soil mantle over a hillslope with commensurate weakening through accumulation of internal compression, shear softening, and loss of root strength. In the absence of well-instrumented post-seismic landslide measurement of evolving stress conditions and deformation, predictions were made against a unique field case study where hydrologically induced hillslope failure kinematics and internal compression were measured. The model accounts for seismic disturbances, demonstrating that certain peak ground accelerations directly reduce subsequent rainfall-induced landslide-triggering thresholds relative to undisturbed hillslopes. The model framework can be used to describe progressive, post-seismic landslide activity, demonstrating that consideration of root or soil healing may suppress subsequent landslide triggering and contribute toward recovery to pre-seismic disturbance levels of strength. Factors such as shear softening, vegetation, and healing are explored in the context of the temporal evolution of landslide rates after a seismic event. The results of this paper show mechanistically how (1) progressive development or cessation of a failure surface in active, post-seismic landslides may describe elevated post-seismic landslide rates and (2) that hillslope healing plays a modest role in the magnitude and timescale of attenuated landslide activity.
引用
收藏
页数:26
相关论文
共 50 条
  • [31] Rainfall-induced shallow landslides: a model for the triggering mechanism of some case studies in Northern Italy
    Montrasio, Lorella
    Valentino, Roberto
    Losi, Gian Luca
    LANDSLIDES, 2009, 6 (03) : 241 - 251
  • [32] Enhancing Landslide Detection: A Novel LA-YOLO Model for Rainfall-Induced Shallow Landslides
    Wang, Lin
    Lei, Henggang
    Jian, Wenbin
    Wang, Wenjia
    Wang, Hao
    Wei, Nan
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2025, 22
  • [33] Temporal prediction modeling for rainfall-induced shallow landslide hazards using extreme value distribution
    Lee, Jung-Hyun
    Kim, Hanbeen
    Park, Hyuck-Jin
    Heo, Jun-Haeng
    LANDSLIDES, 2021, 18 (01) : 321 - 338
  • [34] Assessment of rainfall-induced shallow landslide susceptibility using a GIS-based probabilistic approach
    Park, Hyuck Jin
    Lee, Jung Hyun
    Woo, Ik
    ENGINEERING GEOLOGY, 2013, 161 : 1 - 15
  • [35] Temporal prediction modeling for rainfall-induced shallow landslide hazards using extreme value distribution
    Jung-Hyun Lee
    Hanbeen Kim
    Hyuck-Jin Park
    Jun-Haeng Heo
    Landslides, 2021, 18 : 321 - 338
  • [36] Improving predictive power of physically based rainfall-induced shallow landslide models: a probabilistic approach
    Raia, S.
    Alvioli, M.
    Rossi, M.
    Baum, R. L.
    Godt, J. W.
    Guzzetti, F.
    GEOSCIENTIFIC MODEL DEVELOPMENT, 2014, 7 (02) : 495 - 514
  • [37] Probabilistic analysis of rainfall-induced shallow landslide susceptibility using a physically based model and the bootstrap method
    In-Tak Hwang
    Hyuck-Jin Park
    Jung-Hyun Lee
    Landslides, 2023, 20 : 829 - 844
  • [38] Quantification of climate change impact on rainfall-induced shallow landslide susceptibility: a case study in central Norway
    Oguz, Emir Ahmet
    Benestad, Rasmus E.
    Parding, Kajsa M.
    Depina, Ivan
    Thakur, Vikas
    GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS, 2024, 18 (02) : 467 - 490
  • [39] Probabilistic analysis of rainfall-induced shallow landslide susceptibility using a physically based model and the bootstrap method
    Hwang, In-Tak
    Park, Hyuck-Jin
    Lee, Jung-Hyun
    LANDSLIDES, 2023, 20 (04) : 829 - 844
  • [40] Incorporating Rainfall Forecast Data in X-SLIP Platform to Predict the Triggering of Rainfall-Induced Shallow Landslides in Real Time
    Gatto, Michele Placido Antonio
    GEOSCIENCES, 2023, 13 (07)