Empirical α–β runout modelling of snow avalanches in the Catalan Pyrenees

A variation in the α−β model which is a regression model that allows a deterministic prediction of the extreme runout to be expected in a given path, was applied for calculating avalanche runout in the Catalan Pyrenees. Present knowledge of major avalanche activity in this region and current mapping...

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Published in:Journal of Glaciology
Main Authors: Pere Oller, Cristina Baeza, Glòria Furdada
Format: Article in Journal/Newspaper
Language:English
Published: Cambridge University Press 2021
Subjects:
Online Access:https://doi.org/10.1017/jog.2021.50
https://doaj.org/article/b5eb0087552642f18da8314066eb8fd4
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spelling ftdoajarticles:oai:doaj.org/article:b5eb0087552642f18da8314066eb8fd4 2023-05-15T16:57:34+02:00 Empirical α–β runout modelling of snow avalanches in the Catalan Pyrenees Pere Oller Cristina Baeza Glòria Furdada 2021-12-01T00:00:00Z https://doi.org/10.1017/jog.2021.50 https://doaj.org/article/b5eb0087552642f18da8314066eb8fd4 EN eng Cambridge University Press https://www.cambridge.org/core/product/identifier/S0022143021000502/type/journal_article https://doaj.org/toc/0022-1430 https://doaj.org/toc/1727-5652 doi:10.1017/jog.2021.50 0022-1430 1727-5652 https://doaj.org/article/b5eb0087552642f18da8314066eb8fd4 Journal of Glaciology, Vol 67, Pp 1043-1054 (2021) α–β model avalanche multiple linear regression model Pyrenees runout prediction Environmental sciences GE1-350 Meteorology. Climatology QC851-999 article 2021 ftdoajarticles https://doi.org/10.1017/jog.2021.50 2023-03-12T01:30:57Z A variation in the α−β model which is a regression model that allows a deterministic prediction of the extreme runout to be expected in a given path, was applied for calculating avalanche runout in the Catalan Pyrenees. Present knowledge of major avalanche activity in this region and current mapping tools were used. The model was derived using a dataset of 97 ‘extreme’ avalanches that occurred from the end of 19th century to the beginning of 21st century. A multiple linear regression model was obtained using three independent variables: inclination of the avalanche path, horizontal length and area of the starting zone, with a good fit of the function (R2 = 0.81). A larger starting zone increases the runout and a larger length of the path reduces the runout. The new updated equation predicts avalanche runout for a return period of ~100 years. To study which terrain variables explain the extreme values of the avalanche dataset, a comparative analysis of variables that influence a longer or shorter runout was performed. The most extreme avalanches were treated. The size of the avalanche path and the aspect of the starting zone showed certain association between avalanches with longer or shorter runouts. Article in Journal/Newspaper Journal of Glaciology Directory of Open Access Journals: DOAJ Articles Journal of Glaciology 67 266 1043 1054
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic α–β model
avalanche
multiple linear regression model
Pyrenees
runout prediction
Environmental sciences
GE1-350
Meteorology. Climatology
QC851-999
spellingShingle α–β model
avalanche
multiple linear regression model
Pyrenees
runout prediction
Environmental sciences
GE1-350
Meteorology. Climatology
QC851-999
Pere Oller
Cristina Baeza
Glòria Furdada
Empirical α–β runout modelling of snow avalanches in the Catalan Pyrenees
topic_facet α–β model
avalanche
multiple linear regression model
Pyrenees
runout prediction
Environmental sciences
GE1-350
Meteorology. Climatology
QC851-999
description A variation in the α−β model which is a regression model that allows a deterministic prediction of the extreme runout to be expected in a given path, was applied for calculating avalanche runout in the Catalan Pyrenees. Present knowledge of major avalanche activity in this region and current mapping tools were used. The model was derived using a dataset of 97 ‘extreme’ avalanches that occurred from the end of 19th century to the beginning of 21st century. A multiple linear regression model was obtained using three independent variables: inclination of the avalanche path, horizontal length and area of the starting zone, with a good fit of the function (R2 = 0.81). A larger starting zone increases the runout and a larger length of the path reduces the runout. The new updated equation predicts avalanche runout for a return period of ~100 years. To study which terrain variables explain the extreme values of the avalanche dataset, a comparative analysis of variables that influence a longer or shorter runout was performed. The most extreme avalanches were treated. The size of the avalanche path and the aspect of the starting zone showed certain association between avalanches with longer or shorter runouts.
format Article in Journal/Newspaper
author Pere Oller
Cristina Baeza
Glòria Furdada
author_facet Pere Oller
Cristina Baeza
Glòria Furdada
author_sort Pere Oller
title Empirical α–β runout modelling of snow avalanches in the Catalan Pyrenees
title_short Empirical α–β runout modelling of snow avalanches in the Catalan Pyrenees
title_full Empirical α–β runout modelling of snow avalanches in the Catalan Pyrenees
title_fullStr Empirical α–β runout modelling of snow avalanches in the Catalan Pyrenees
title_full_unstemmed Empirical α–β runout modelling of snow avalanches in the Catalan Pyrenees
title_sort empirical α–β runout modelling of snow avalanches in the catalan pyrenees
publisher Cambridge University Press
publishDate 2021
url https://doi.org/10.1017/jog.2021.50
https://doaj.org/article/b5eb0087552642f18da8314066eb8fd4
genre Journal of Glaciology
genre_facet Journal of Glaciology
op_source Journal of Glaciology, Vol 67, Pp 1043-1054 (2021)
op_relation https://www.cambridge.org/core/product/identifier/S0022143021000502/type/journal_article
https://doaj.org/toc/0022-1430
https://doaj.org/toc/1727-5652
doi:10.1017/jog.2021.50
0022-1430
1727-5652
https://doaj.org/article/b5eb0087552642f18da8314066eb8fd4
op_doi https://doi.org/10.1017/jog.2021.50
container_title Journal of Glaciology
container_volume 67
container_issue 266
container_start_page 1043
op_container_end_page 1054
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