Numerical avalanche prediction: Kootenay Pass, British Columbia, Canada

Abstract A numerical avalanche-prediction scheme was developed for highway applications at Kootenay Pass, British Columbia. The model features parametric discriminant analysis using Bayesian statistics to predict avalanche occurrences. Cluster techniques are then employed in discriminant space to an...

Full description

Bibliographic Details
Published in:Journal of Glaciology
Main Authors: Mcclung, D. M., Tweedy, John
Format: Article in Journal/Newspaper
Language:English
Published: Cambridge University Press (CUP) 1994
Subjects:
Online Access:http://dx.doi.org/10.1017/s0022143000007437
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143000007437
id crcambridgeupr:10.1017/s0022143000007437
record_format openpolar
spelling crcambridgeupr:10.1017/s0022143000007437 2024-03-03T08:46:07+00:00 Numerical avalanche prediction: Kootenay Pass, British Columbia, Canada Mcclung, D. M. Tweedy, John 1994 http://dx.doi.org/10.1017/s0022143000007437 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143000007437 en eng Cambridge University Press (CUP) Journal of Glaciology volume 40, issue 135, page 350-358 ISSN 0022-1430 1727-5652 Earth-Surface Processes journal-article 1994 crcambridgeupr https://doi.org/10.1017/s0022143000007437 2024-02-08T08:41:37Z Abstract A numerical avalanche-prediction scheme was developed for highway applications at Kootenay Pass, British Columbia. The model features parametric discriminant analysis using Bayesian statistics to predict avalanche occurrences. Cluster techniques are then employed in discriminant space to analyze avalanche occurrences by the method of nearest neighbours. Extensive numerical testing of the model using an historical data base indicates that prediction accuracy may be 70% or better for both avalanche and non-avalanche time intervals. Article in Journal/Newspaper Journal of Glaciology Cambridge University Press Canada British Columbia ENVELOPE(-125.003,-125.003,54.000,54.000) Journal of Glaciology 40 135 350 358
institution Open Polar
collection Cambridge University Press
op_collection_id crcambridgeupr
language English
topic Earth-Surface Processes
spellingShingle Earth-Surface Processes
Mcclung, D. M.
Tweedy, John
Numerical avalanche prediction: Kootenay Pass, British Columbia, Canada
topic_facet Earth-Surface Processes
description Abstract A numerical avalanche-prediction scheme was developed for highway applications at Kootenay Pass, British Columbia. The model features parametric discriminant analysis using Bayesian statistics to predict avalanche occurrences. Cluster techniques are then employed in discriminant space to analyze avalanche occurrences by the method of nearest neighbours. Extensive numerical testing of the model using an historical data base indicates that prediction accuracy may be 70% or better for both avalanche and non-avalanche time intervals.
format Article in Journal/Newspaper
author Mcclung, D. M.
Tweedy, John
author_facet Mcclung, D. M.
Tweedy, John
author_sort Mcclung, D. M.
title Numerical avalanche prediction: Kootenay Pass, British Columbia, Canada
title_short Numerical avalanche prediction: Kootenay Pass, British Columbia, Canada
title_full Numerical avalanche prediction: Kootenay Pass, British Columbia, Canada
title_fullStr Numerical avalanche prediction: Kootenay Pass, British Columbia, Canada
title_full_unstemmed Numerical avalanche prediction: Kootenay Pass, British Columbia, Canada
title_sort numerical avalanche prediction: kootenay pass, british columbia, canada
publisher Cambridge University Press (CUP)
publishDate 1994
url http://dx.doi.org/10.1017/s0022143000007437
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143000007437
long_lat ENVELOPE(-125.003,-125.003,54.000,54.000)
geographic Canada
British Columbia
geographic_facet Canada
British Columbia
genre Journal of Glaciology
genre_facet Journal of Glaciology
op_source Journal of Glaciology
volume 40, issue 135, page 350-358
ISSN 0022-1430 1727-5652
op_doi https://doi.org/10.1017/s0022143000007437
container_title Journal of Glaciology
container_volume 40
container_issue 135
container_start_page 350
op_container_end_page 358
_version_ 1792502032707354624