To protect oneself from large-scale landslides, it is crucial to promote evacuation actions by notifying the predicted occurrence time and location of the landslide. This paper reports on an early warning information delivery system called AR presentation for early warning, targeting large-scale landslides induced by heavy rain. The AR presentation for early warning previously registers the landslide occurrence time and the landslide runout extent obtained from simulations. It then determines whether a landslide will occur based on predicted rainfall and displays the predicted landslide occurrence time and landslide runout extent on web browsers using Augmented Reality technology. Using the large-scale landslide in Aranayaka as a case study, it was confirmed through AR presentation for early warning that this landslide occurred 12 h after the predicted start time.

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Time and Site Prediction of a Potential Large-Scale Landslides and the AR (Augmented Reality) Presentation for Early Warning

  • Koichi Araki,
  • Keisuke Takimoto,
  • Yoichi Yamazaki,
  • Doan Huy Loi,
  • Kazuo Konagai,
  • Kyoji Sassa

摘要

To protect oneself from large-scale landslides, it is crucial to promote evacuation actions by notifying the predicted occurrence time and location of the landslide. This paper reports on an early warning information delivery system called AR presentation for early warning, targeting large-scale landslides induced by heavy rain. The AR presentation for early warning previously registers the landslide occurrence time and the landslide runout extent obtained from simulations. It then determines whether a landslide will occur based on predicted rainfall and displays the predicted landslide occurrence time and landslide runout extent on web browsers using Augmented Reality technology. Using the large-scale landslide in Aranayaka as a case study, it was confirmed through AR presentation for early warning that this landslide occurred 12 h after the predicted start time.