Probabilistic rainfall thresholds of post-earthquake debris flows by integrating observed soil moisture content and calculated water runoff
摘要
Empirical rainfall thresholds are widely used for debris flow early warning due to their simplicity, but they often produce false alarms by ignoring non-triggering rainfall uncertainty and hydrological processes. To address this, we propose probabilistic thresholds based on two years of in-situ monitoring data, incorporating observed soil moisture and calculated water runoff. To our knowledge, this is the first time that calculated water runoff has been used as a factor in generating probabilistic hydro-meteorological thresholds for debris flows. Our findings indicate that the probabilistic hydro-meteorological thresholds slightly outperform the probabilistic cumulative rainfall-duration (E-D) thresholds, with accuracy values improving from 0.92 to 0.94. Compared to the probabilistic hydro-meteorological thresholds derived from observed soil moisture content, those derived from calculated water runoff offer significant potential for improving early warning systems for post-earthquake debris flows, as calculated water runoff can be predicted in advance. We argue that the findings of this study provide valuable insights for enhancing the accuracy of post-earthquake debris flow prediction.