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  4. Potential of Analysis of Debris Flow–Fitting and Prediction of Discriminant Analysis
 
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Potential of Analysis of Debris Flow–Fitting and Prediction of Discriminant Analysis

Date Issued
2008
Date
2008
Author(s)
Lin, Yu-Hsiang
URI
http://ntur.lib.ntu.edu.tw//handle/246246/187598
Abstract
Taiwan is situated in the junction of tectonic plates, which induces broken and complex geological conditions with freguent, landslides, mudslides and debris flows. The heavy rains carried by typhoon, often caused landslides and debris flows in Taiwan. In this study, the potential analysis of debris flow is intended using the Fisher’s discriminant analysis. This research collects debris flow related data in Nantou County and the debris flow major disaster histories. The debris flow torrents potential analysis was performed based on the 1420 debris flow torrents by Soil-and-Water Conservation-Bureau (2003) in Nantou County.his study focused on fitting and prediction of the Fisher’s discriminant analysis, beginning with the potential analysis of debris flow in Nantou Area, considering its fitting streams using random sampling, the sample distribution. The Fisher’s discriminant analysis of their assumptive testing results have been different, and the resulting Fisher’s discriminant functions of their influence factors nay be different for fitting and prediction, which affect its stability and applicability. By comparing the fitting and prediction rate, the functions of the final model can be adequately determined. Comparisons were made between this research and previous research using the principal component analysis for the study of influence factors, adopting different methods of subdivision study area, finally the applicability of principal component analysis for the Fisher’s discriminant analysis is discussed.he discriminant model based on the Nantou district D randomly selected samples are used for predicting the same geological subdivision D in Taichung, and Chiayi areas. The influence factor stability of the Fisher’s discriminant model and the prediction rate associated with the difference in influence factors were discussed using, and used similarity index.
Subjects
debris flow
influenced factors
principal component analysis
similarity index
Type
thesis
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