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Identifying potential debris flow hazards after the 2022 Mw 6.8 Luding earthquake in southwestern China.
- Source :
-
Bulletin of Engineering Geology & the Environment . Jun2024, Vol. 83 Issue 6, p1-25. 25p. - Publication Year :
- 2024
-
Abstract
- 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% of the catchments in the Luding earthquake-affected area would remain at a slight or low debris flow activity level, while the catchments with high and very high activity are mainly located in the Moxi-Xinmin section. Overall, this research provides valuable insights for mitigating the risk of post-earthquake debris flow and developing effective strategies for reconstruction efforts. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 14359529
- Volume :
- 83
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- Bulletin of Engineering Geology & the Environment
- Publication Type :
- Academic Journal
- Accession number :
- 177401962
- Full Text :
- https://doi.org/10.1007/s10064-024-03749-z