Articles | Volume 26, issue 5
https://doi.org/10.5194/nhess-26-2367-2026
https://doi.org/10.5194/nhess-26-2367-2026
Research article
 | 
26 May 2026
Research article |  | 26 May 2026

Constructing physical-based rainfall landslides prediction model: insights from rainfall threshold curves database of slope units

Kai Wang, Linmao Xie, Shuailong Xie, Shaojie Zhang, Yongyang Jiang, Ji Zhang, Lin Zhu, Zhiliu Wang, and Fuzhou Qi

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Short summary
This manuscript integrates physical methods, rainfall threshold warning methods, and slope units to develop a rapid forecasting model for rainfall landslides at a regional scale. The application results indicate that the model runs in less than 12 min, with missing alarm and false alarm rates of 11.8 % and 21.1 %, respectively. This study is expected to provide insights for the rapid forecasting of rainfall landslides in the impoverished mountainous regions of developing countries.
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