J4 ›› 2010, Vol. 40 ›› Issue (2): 368-372.

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Application of FCM Based on Principal Components Analysis in Debris Flow Classification

ZHANG Wen|CHEN Jian-ping|QIN Sheng-wu|ZHANG Chen,LI Ming,MA Jian-quan   

  1. College of Construction Engineering,Jilin University,Changchun 130026,China
  • Received:2009-08-23 Online:2010-03-26 Published:2010-03-26

Abstract:

Twelve conventional evaluation-factors such as watershed area, maximum altitude difference and four statistical factors of debris flow gully form such as circular degree, mean length are chosen to evaluate the debris flow characteristics. Principal component analysis is used to reduce the dimension of the evaluation-factor.Sixteen factors is classified into six uncorrelated principal components, which reduces the complexity in analysis process. The factors of debris flow gully form are proved important. FCM( Fuzzy C-means algorithm) is proposed to sort twenty seven debris flow field investigated into three grades.The result preferably coincides with practical situation of debris flow gullies. Guard measures are proposed according to the result of cluster.

Key words: principal component analysis, Fuzzy C-means algorithm, debris flow, classification

CLC Number: 

  • P642.23
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