Study of Applicability of Slope Failure Prediction Method Using the Input Data for Landslide Disaster Warning Information

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Key Points

This research aims to enhance landslide disaster warnings by examining a slope failure prediction model using rainfall data.
Utilization of modified soil moisture index based on 60-minute cumulative rainfall for stability assessments.
Definition of threshold soil moisture indices to indicate saturation conditions for failure.
Proposition of a stability calculation formula linking groundwater levels and modified moisture indices.
Stability evaluations show that lower threshold moisture indices lead to faster attainment of pseudo-saturation states.
Safety factors decrease as the threshold indices decrease, indicating higher risk.
Comparison of calculated values against failure sites validates the proposed prediction methodology.

Evaluates slope failure prediction accuracy in landslide warning systems, suggesting improvements for disaster response.

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Nonami et al. (2026) studied this question.

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