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Numerical investigation of rainfall intensity and duration control of rainfall-induced landslide at a specific slope using slope case histories and actual rainfall records

  • Xin LIU
  • , Yu WANG*
  • , Anthony Kwan LEUNG
  • *Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Abstract

Rainfall is a major triggering factor for landslide hazards in many regions. The relationship between rainfall characteristics and slope stability is of great importance for mitigating landslide risks. Some recent studies showed that there is a threshold curve of rainfall intensity and duration for a specific slope and that landslides are expected to occur when the rainfall intensity and duration imposed on the slope exceed the threshold curve. These curves offer a convenient way to predict rainfall-induced landslides at a specific slope and provide insights into the slope’s rainfall intensity-duration control of landslides. However, the development of the abovementioned threshold curves in the previous studies was limited to some special slope conditions, such as infinite slopes with a shallow planar failure mode, and contained assumptions inconsistent with field observations, such as fully saturated soil at slope failure. This study aims to address these limitations and assumptions and numerically investigate the rainfall intensity-duration control of rainfall-induced landslides at a specific slope using real slope case histories and actual rainfall records. A generalized procedure is proposed to develop an explicit relationship between rainfall intensity and duration at a specific slope, which is referred to as critical rainfall pattern curve (CRPC). The slope-specific CRPC from different slope case histories can be reasonably fitted by a power function with an R2 value of 0.988 – 1.000. The CRPCs are consistent with the actual rainfall records and slope failures observed. CRPC provides a simple but effective tool for slope-specific landslide prediction and risk assessment. © Springer-Verlag GmbH Germany, part of Springer Nature 2023
Original languageEnglish
Article number333
JournalBulletin of the International Association of Engineering Geology - Bulletin de l'Association Internationale de Géologie de l'Ingénieur
Volume82
Issue number8
Online published27 Jul 2023
DOIs
Publication statusPublished - Aug 2023

Research Keywords

  • Slope stability
  • Rainfall-induced landslides
  • Landslide risk assessment
  • Rainfall characteristics
  • Landslide prediction

RGC Funding Information

  • RGC-funded

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