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The earthquake-triggered landslides and slope failures are common phenomena during strong earthquakes and have drawn more attention from the world because of severe hazards they induced. These hazards usually cannot be prevented by current mitigating measures, thus, it becomes more and more important to develop a precise technique for the risk assessment of earthquake-induced failures in the mountainous area. The application of discrimination analysis method is proved to be successful and effective in the prediction of earthquake-triggered landslides and slope failures in the region of Imokawa Basin in Japan. Discriminant score can be used to assess the relative risk of slope failures, as the score increases, the possibility of slope failures occurrence increases accordingly. At the same time, the variables in the judgement formula, such as slope gradient, slope curvature and seismic peak ground acceleration, are easy to obtain. This advantage makes this method more practical and manipulable than others at present. In order to apply this method more effectively, there are still several problems to resolve.
The earthquake-triggered landslides and slope failures are common phenomena during strong earthquakes and have drawn more attention from the world because of severe hazards they induced. These patterns usually not for prevented by current mitigating measures, thus, it becomes more and more important to to develop a precise technique for the risk assessment of earthquake-induced failures in the mountainous area. The application of discrimination analysis method is proved to be successful and effective in the prediction of earthquake-triggered landslides and slope failures in the region of Imokawa Basin in Japan. Discriminant score can be used to assess the relative risk of slope failures, as the score increases, the possibility of slope failure happened increases comply... The same time, the variables in the judgment formula, such as slope gradient, slope curvature and seismic peak ground acceleration, are easy to obtain. This advantage makes this method more practical and manip ulable than others at present. In order to apply this method more effectively, there are still several problems to resolve.