Title of article
Numerical avalanche prediction: Bear Pass, British Columbia, Canada
Author/Authors
J.A. Floyer، نويسنده , , James A. and McClung، نويسنده , , David M.، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2003
Pages
10
From page
333
To page
342
Abstract
A numerical avalanche prediction scheme offering prediction rates greater than 70% is presented for the Bear Pass highway operation, British Columbia. One-way analysis of variance (ANOVA) and canonical discriminant analysis are used to identify the principal variables that allow discrimination between avalanche and non-avalanche time periods. The optimum variable set is then used in a discriminant analysis to classify each time period into an avalanche or a non-avalanche period. The analysis is performed for all areas in a combined analysis and also for individual sub-areas defined within the Pass. Improvements on classification rates to three out of the four sub-areas are observed compared to the analysis for the whole Pass.
Keywords
avalanche , Numerical , Prediction , MODELING
Journal title
Cold Regions Science and Technology
Serial Year
2003
Journal title
Cold Regions Science and Technology
Record number
2271108
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