Abstract
The debris flow hazards endanger the life and property safety of the people, so the investigation about the risk level assessment of debris flow has great significance to prevent its occurrence. Due to the randomness of debris flow hazards, the projection pursuit classification (PPC) model with the acceleration genetic algorithm is introduced to assess the risk level of debris flow hazards in Zhouqu, China. At first, the index systems of debris flow hazards are established, and the principle of projection pursuit classification model is narrated. Then the risk assessments of 10 different gullies in Zhouqu are performed based on PPC model, the results demonstrate that the most risk levels of debris flow of 10 gullies in Zhouqu are high or higher risk, the results assessed by using the PPC model are basically consistent with the results of actual investigation, except that Anmenxia gully, its accurate rate arrives at 90%, so conclusions are drawn that it is feasible to estimate the risk level of debris flow by using the PPC model, a new method and thoughts can be provided to assess the risk level of debris flow in future.
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Acknowledgements
This work is supported by the first batch of Natural Science Foundation of SiChuan Provincial Department of Education (No. 17ZA0270). The cross project in Nanyang Institute of Technology (230067). The National natural foundation in china (41672357). The start-up foundation (510126). Sichuan Science and Technology Program (No: 2020YJ0424).
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Gu, X.B., Shao, J.L., Wu, S.T. et al. The Risk Assessment of Debris Flow Hazards in Zhouqu Based on the Projection Pursuit Classification Model. Geotech Geol Eng 40, 1267–1279 (2022). https://doi.org/10.1007/s10706-021-01961-2
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DOI: https://doi.org/10.1007/s10706-021-01961-2