Threshold Regressive Model and Cluster Analysis of Sediment-Related Disaster
详细信息
- 责任者：Zhang Haiyan (Changchun University of Technology ; Changchun 130012 ; China) ; Wang Xinmin
- 刊名：Journal of Jilin University
- 出版年：2011
- 卷期：41(2)
- 关键词：地质灾害 ; geologic hazards ; 吉林 ; Jilin Province
- 页码：p.529-535
- 图表：1 illus., 4 tables, 11 refs.
- 分类号：1800
- issnNo：ISSN1671-5888
- isbnNo：CN22-1343/P
摘要
By using 10-year monitoring data of geological disaster in Jilin Province, the authors focused on risk assessment and partition of susceptible area of geological disaster with statistics methods. Firstly, hierachical cluster analysis was improved by introducing into weight coefficient based on the importance of different factors, and the accuracy of partition was tested to achieve 94.87% by discriminant analysis. Secondly, a threshold regressive model whose accuracy got to 99.996 2% was used to learn the forms of disaster caused by all kinds of factors and master their features and differences of disaster formation under numerical values of different sizes of different factors. The high level of accuracy of the combination application of weighted hierachical cluster analysis with threshold regressive model showed that it was proper methods to resolve the issue of risk assessment and the partition of susceptible area of geological disaster was precise.