Risk Assessment of Debris Flow Clusters based on Entropy Weighting Method and Cluster Analysis
The occurrence of debris flows can damage infrastructure and threaten human life and property safety,especially in scenic places.Therefore,it is particularly important to classify and evaluate the risk of debris flows.In the paper,14 debris flow gullies in Longmenshan Town,Pengzhou,Sichuan are taken as the research object.Based on on-site geological surveys,combined with drone images and multiple remote sensing images,the basic characteristics of each debris flow gully are comprehensively determined.The watershed cutting density,roundness,average slope of the main channel,maximum height difference of the watershed,bending coefficient of the main channel bed,length ratio of mud and sand supply section,vegetation coverage,population density,and material source quantity per unit area,a total of 9 factors are taken as the main indicators affecting the risk degree of debris flow.The entropy weight method is used to determine the weight and entropy value of each indicator and the comprehensive evaluation score of different debris flow gullies.At the same time,the quantum particle swarm optimization is used to improve the AP clustering algorithm.Based on the calculation results of the entropy weight method,the improved AP clustering algorithm is used to classify 14 debris flow gullies in Longmenshan Town,clustering effectiveness indicators are brought to assess the effectiveness of debris flow classification,quantitative standards for the risk of debris flow within the study area are proposed,and finally,the risk of debris flow in the study area is evaluated.The evaluation results are compared with those of the grey correlation method,coupled collaboration method,and on-site investigation results,proving that the method proposed in this paper is feasible and can provide a reasonable scientific basis for research on related issues in other regions.
classification of debris flowsrisk assessmententropy weighting methodcluster analysisoptimization calculationLongmenshan Town
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NSTL
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