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Landslides have the potential to cause severe damage to infrastructure and can lead to loss of life. It is crucial to take preventive measures to mitigate landslide risks. Landslides in Sri Lanka are a common natural disaster, often triggered by heavy rainfall during the monsoon season. The National Building Research Organization of Sri Lanka (NBRO) and the International Consortium on Landslides (ICL) commenced a 5-year research project in 2020 named “Development of Early Warning Technology of Rain-induced Rapid and Long-travelling Landslides (Project RRLL),” which was supported by JICA (Japan International Cooperation Agency) and JST (Japan Science and Technology Agency). The project’s main objective is to create essential technologies for an early warning system that can predict landslides caused by heavy rainfall. One of the key technologies is use of the LS-RAPID to simulate the landslides initiation and motion. First, this article presents two case studies in Japan, and Sri Lanka to show the ability of LS-RAPID to reproduce rainfall-induced landslides. Then, LS-RAPID was applied to estimate the potential activation in previous large-scale landslides and the critical pore pressure needed to initiate landslides in the Aranayake area, Sri Lanka.

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LS-RAPID Estimation of the Critical Pore Pressure Able to Initiate (Activate) Landslides Within the Existing Large-Scale Landslides

  • 章节

  • 出版模式：

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  • 发表日期：

    2025年

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  • Doan Huy Loi,
  • Pham Van Tien,
  • Khang Dang,
  • Kyoji Sassa

摘要

Landslides have the potential to cause severe damage to infrastructure and can lead to loss of life. It is crucial to take preventive measures to mitigate landslide risks. Landslides in Sri Lanka are a common natural disaster, often triggered by heavy rainfall during the monsoon season. The National Building Research Organization of Sri Lanka (NBRO) and the International Consortium on Landslides (ICL) commenced a 5-year research project in 2020 named “Development of Early Warning Technology of Rain-induced Rapid and Long-travelling Landslides (Project RRLL),” which was supported by JICA (Japan International Cooperation Agency) and JST (Japan Science and Technology Agency). The project’s main objective is to create essential technologies for an early warning system that can predict landslides caused by heavy rainfall. One of the key technologies is use of the LS-RAPID to simulate the landslides initiation and motion. First, this article presents two case studies in Japan, and Sri Lanka to show the ability of LS-RAPID to reproduce rainfall-induced landslides. Then, LS-RAPID was applied to estimate the potential activation in previous large-scale landslides and the critical pore pressure needed to initiate landslides in the Aranayake area, Sri Lanka.