|Table of Contents|

Prediction of karst collapse based on Fisher discriminant analysis method(PDF)

《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

Issue:
2012年第01期
Page:
91-95
Research Field:
水资源与环境
Publishing date:

Info

Title:
Prediction of karst collapse based on Fisher discriminant analysis method
Author(s):
JIANG Chun-lu;  JIANG Zhen-quan
School of Resource and Earth Science, China University of Mining and Technology, Xuzhou 221008, Jiangsu, China
Keywords:
karst collapse;  prediction;  Fisher discriminant analysis method;  back substitution estimation method;  geologic hazard;  Karst Region
PACS:
P642.25; X141
DOI:
-
Abstract:
In order to accurately predicting the karst collapse, based on Fisher discriminant analysis method, the five main factors including cohesion, internal friction angle, cover thickness, difference of cover thickness and high buried depth of groundwater and difference of cover thickness and low buried depth of groundwater were selected as discriminant factors firstly; secondly, twenty actual samples of karst collapses in Guilin City were taken as the learning samples, and the Fisher linear discriminant function was established; thirdly, the predicting results of the above twenty actual samples were tested with back substitution estimation method, and the accuracy of predication was 100%; fourthly, the comparison of the above predication and the predication by others with stepwise and neural network discrimination methods, showed that the models and parameters had not to be selected and personal factors had no influence on the predication for Fisher discriminant analysis method; finally, the additional ten actual samples were predicted with the established Fisher linear discriminant function, and the results were the same as the practical situation. The results showed that Fisher discriminant analysis method for predicting the karst collapse had advantages of simple, convenient, high accuracy and practicability; the method was new for predicting the karst collapse.

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Last Update: 2012-03-20