Particle trajectories, velocities, accelerations and rotation rates in snow avalanches
Abstract Understanding the dynamics of snow avalanches is crucial for predicting their destructive potential and mobility. To gain insight into avalanche dynamics at a particle level, the AvaNode in-flow sensor system was developed. These synthetic particles, equipped with advanced and affordable se...
Published in: | Annals of Glaciology |
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2023
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Online Access: | http://dx.doi.org/10.1017/aog.2023.69 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0260305523000691 |
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crcambridgeupr:10.1017/aog.2023.69 2024-06-09T07:38:27+00:00 Particle trajectories, velocities, accelerations and rotation rates in snow avalanches Neuhauser, Michael Köhler, Anselm Neurauter, Rene Adams, Marc S. Fischer, Jan-Thomas Deutsche Forschungsgemeinschaft Austrian Science Fund 2023 http://dx.doi.org/10.1017/aog.2023.69 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0260305523000691 en eng Cambridge University Press (CUP) http://creativecommons.org/licenses/by/4.0/ Annals of Glaciology page 1-18 ISSN 0260-3055 1727-5644 journal-article 2023 crcambridgeupr https://doi.org/10.1017/aog.2023.69 2024-05-15T12:55:50Z Abstract Understanding the dynamics of snow avalanches is crucial for predicting their destructive potential and mobility. To gain insight into avalanche dynamics at a particle level, the AvaNode in-flow sensor system was developed. These synthetic particles, equipped with advanced and affordable sensors such as an inertial measurement unit (IMU) and global navigation satellite system (GNSS), travel with the avalanche flow. This study focuses on assessing the feasibility of the in-flow measurement systems. The experiments were conducted during the winter seasons of 2021–2023, both in static snow cover and dynamic avalanche conditions of medium-sized events. Radar measurements were used in conjunction with the particle trajectories and velocities to understand the behaviour of the entire avalanche flow. The dynamic avalanche experiments allowed to identify three distinct particle flow states: (I) initial rapid acceleration, (II) a steady state flow with the highest velocities (9–17 ms −1 ), and (III) a longer deceleration state accompanied by the largest measured rotation rates. The particles tend to travel towards the tail of the avalanche and reach lower velocities compared to the frontal approach velocities deduced from radar measurements (ranging between 23–28 ms −1 ). The presented data give a first insight in avalanche particle measurements. Article in Journal/Newspaper Annals of Glaciology Cambridge University Press Annals of Glaciology 1 18 |
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Open Polar |
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Cambridge University Press |
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crcambridgeupr |
language |
English |
description |
Abstract Understanding the dynamics of snow avalanches is crucial for predicting their destructive potential and mobility. To gain insight into avalanche dynamics at a particle level, the AvaNode in-flow sensor system was developed. These synthetic particles, equipped with advanced and affordable sensors such as an inertial measurement unit (IMU) and global navigation satellite system (GNSS), travel with the avalanche flow. This study focuses on assessing the feasibility of the in-flow measurement systems. The experiments were conducted during the winter seasons of 2021–2023, both in static snow cover and dynamic avalanche conditions of medium-sized events. Radar measurements were used in conjunction with the particle trajectories and velocities to understand the behaviour of the entire avalanche flow. The dynamic avalanche experiments allowed to identify three distinct particle flow states: (I) initial rapid acceleration, (II) a steady state flow with the highest velocities (9–17 ms −1 ), and (III) a longer deceleration state accompanied by the largest measured rotation rates. The particles tend to travel towards the tail of the avalanche and reach lower velocities compared to the frontal approach velocities deduced from radar measurements (ranging between 23–28 ms −1 ). The presented data give a first insight in avalanche particle measurements. |
author2 |
Deutsche Forschungsgemeinschaft Austrian Science Fund |
format |
Article in Journal/Newspaper |
author |
Neuhauser, Michael Köhler, Anselm Neurauter, Rene Adams, Marc S. Fischer, Jan-Thomas |
spellingShingle |
Neuhauser, Michael Köhler, Anselm Neurauter, Rene Adams, Marc S. Fischer, Jan-Thomas Particle trajectories, velocities, accelerations and rotation rates in snow avalanches |
author_facet |
Neuhauser, Michael Köhler, Anselm Neurauter, Rene Adams, Marc S. Fischer, Jan-Thomas |
author_sort |
Neuhauser, Michael |
title |
Particle trajectories, velocities, accelerations and rotation rates in snow avalanches |
title_short |
Particle trajectories, velocities, accelerations and rotation rates in snow avalanches |
title_full |
Particle trajectories, velocities, accelerations and rotation rates in snow avalanches |
title_fullStr |
Particle trajectories, velocities, accelerations and rotation rates in snow avalanches |
title_full_unstemmed |
Particle trajectories, velocities, accelerations and rotation rates in snow avalanches |
title_sort |
particle trajectories, velocities, accelerations and rotation rates in snow avalanches |
publisher |
Cambridge University Press (CUP) |
publishDate |
2023 |
url |
http://dx.doi.org/10.1017/aog.2023.69 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0260305523000691 |
genre |
Annals of Glaciology |
genre_facet |
Annals of Glaciology |
op_source |
Annals of Glaciology page 1-18 ISSN 0260-3055 1727-5644 |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1017/aog.2023.69 |
container_title |
Annals of Glaciology |
container_start_page |
1 |
op_container_end_page |
18 |
_version_ |
1801372995252387840 |