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Identifying Potential Debris Flow Hazards after the 2022 Mw 6.8 Luding Earthquake in Southwestern China

BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT(2024)

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摘要
Earthquakes can generate large amounts of co-seismic landslide debris and unstable hillslopes, which supply abundant material sources for subsequent debris flow activities, leading to a significant increase in debris flow risk in post-seismic years. On 5 September 2022, a Mw 6.8 earthquake struck Luding County in the mountainous region of Southwestern China. To mitigate the risk of post-earthquake debris flows to infrastructure and reconstruction planning efforts in the earthquake-affected area, it is crucial to determine the location and magnitude of post-earthquake debris flow. Based on the dataset of debris flow activities for more than 10 years after the 2008 Wenchuan earthquake, we captured the dominant factors controlling the post-earthquake debris flow activity and developed a predictive model for the post-earthquake debris flow activity by multiple machine learning methods. Subsequently, we used the predictive model and transfer learning method to identify high-susceptibility areas for debris flows following the 2022 Luding earthquake. A volume indicator of transportable material sources (PVL) by coupling with the connectivity and the co-seismic landslide was proposed to further quantify the magnitude of debris flows. The results indicate that approximately 70
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关键词
Post-earthquake debris flow,Machine learning,Landslide connectivity,Activity intensity
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