Debris Flow Classification and Risk Assessment Based on Combination Weighting Method and Cluster Analysis: A Case Study of Debris Flow Clusters in Longmenshan Town, Pengzhou, China

• Published in: Applied sciences Vol. 13; no. 13; p. 7551
• Main Authors: Li, Yuanzheng, Shen, Junhui, Huang, Meng, Peng, Zhanghai
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.07.2023
• Subjects: Algorithms; Artificial intelligence; Case studies; Classification; classification of debris flows; Cluster analysis; combination weighting method; Earthquakes; Flow velocity; Geological surveys; Geology; Longmenshan Town; Methods; National scenic areas; Onsite; optimization; Rain; Remote sensing; Risk assessment; Simulation; Urban areas; Vegetation; China

Debris flows can damage infrastructure and threaten human life and property safety, especially in tourist attractions. Therefore, it is crucial to classify and evaluate the risk of debris flows. This article takes 14 debris flows in Longmenshan Town, Pengzhou, Sichuan, China, as the research object....