Real-time monitoring and numerical analysis of rainfall-induced slope instability

被引:0
作者
Gidon, J. Sharailin [1 ]
Samal, Rasmiranjan [1 ]
Sahoo, Smrutirekha [1 ]
机构
[1] Natl Inst Technol Meghalaya, Dept Civil Engn, Bijni Complex, Shillong 793003, Meghalaya, India
关键词
Rainfall; real-time; slope instability; matric suction; slope displacement; PREDICTION; STABILITY;
D O I
10.1080/19386362.2024.2429935
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
The study of slope instability includes a detailed study of environmental conditions and soil's geotechnical and hydrological parameters. In the present study, a thorough understanding of rainfall-induced slope instability is achieved by doing real-time monitoring on an unstable slope located in Shillong, Meghalaya, India. The area selected is prone to landslides due to heavy rainfall and because it is located in the wettest place on earth. The real-time monitoring involves observation of groundwater table variation, intensity of rainfall, soil suction, and their effects on the instability of an unsaturated slope. Boring data show that even if the area is in a hilly region, the groundwater table is very high. The effects of antecedent rain on the matric suction, which indirectly affected the stability of the unsaturated soil slope were noticed. The location of the irrometers helped us in assessing that the slope stability is affected by both the matric suction developed in the unsaturated shallow soil during rainfall and that developed due to the presence of high groundwater level. The displacements along the slope are independent of each other. The results of the numerical analysis show that the slope displacement is positively correlated with the principal strain and maximum shear stress, indicating that the infiltration of rainfall has a significant effect on the stress and strain associated with displacement.
引用
收藏
页码:753 / 763
页数:11
相关论文
共 29 条
  • [1] The Selection of Rain Gauges and Rainfall Parameters in Estimating Intensity-Duration Thresholds for Landslide Occurrence: Case Study from Wayanad (India)
    Abraham, Minu Treesa
    Satyam, Neelima
    Rosi, Ascanio
    Pradhan, Biswajeet
    Segoni, Samuele
    [J]. WATER, 2020, 12 (04)
  • [2] IoT-Based Geotechnical Monitoring of Unstable Slopes for Landslide Early Warning in the Darjeeling Himalayas
    Abraham, Minu Treesa
    Satyam, Neelima
    Pradhan, Biswajeet
    Alamri, Abdullah M.
    [J]. SENSORS, 2020, 20 (09)
  • [3] Buragohain B., 2016, INT J EARTH SCI ENG, V9, P269
  • [4] Cascini L., 2017, LANDSLIDES, V14, P817, DOI [https://doi.org/10.1007/s10346-016-0740-5, DOI 10.1007/S10346-016-0740-5]
  • [5] Landslide prediction, monitoring and early warning: a concise review of state-of-the-art
    Chae, Byung-Gon
    Park, Hyuck-Jin
    Catani, Filippo
    Simoni, Alessandro
    Berti, Matteo
    [J]. GEOSCIENCES JOURNAL, 2017, 21 (06) : 1033 - 1070
  • [6] A Simple Method for Predicting Rainfall-Induced Shallow Landslides
    Conte, Enrico
    Pugliese, Luigi
    Troncone, Antonello
    [J]. JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING, 2022, 148 (10)
  • [7] Assessment of landslide-induced damage to structures: the Agnone landslide case study (southern Italy)
    Del Soldato, Matteo
    Di Martire, Diego
    Bianchini, Silvia
    Tomas, Roberto
    De Vita, Pantaleone
    Ramondini, Massimo
    Casagli, Nicola
    Calcaterra, Domenico
    [J]. BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2019, 78 (04) : 2387 - 2408
  • [8] Duncan J.M., 1970, J SOIL MECH FDN ENG, V96, P1629
  • [9] Fredlund D. G., 1993, SOIL MECH UNSATURATE
  • [10] Geertsema M., 2009, LANDSLIDES DISASTER, DOI [https://doi.org/10.1007/978-3-540-69970-531, DOI 10.1007/978-3-540-69970-531]