Automated Snow Avalanche Monitoring and Alert System Using Distributed Acoustic Sensing in Norway

Avalanches present substantial hazard risk in mountainous regions, particularly when avalanches obstruct roads, either hitting vehicles directly or leaving traffic exposed to subsequent avalanches during cycles. Traditional detection methods often are designed to cover only a limited section of a ro...

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Main Authors: Antoine Turquet, Andreas Wuestefeld, Guro K. Svendsen, Finn Kåre Nyhammer, Espen Lauvlund Nilsen, Andreas Per-Ola Persson, Vetle Refsum
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:GeoHazards
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Online Access:https://www.mdpi.com/2624-795X/5/4/63
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author Antoine Turquet
Andreas Wuestefeld
Guro K. Svendsen
Finn Kåre Nyhammer
Espen Lauvlund Nilsen
Andreas Per-Ola Persson
Vetle Refsum
author_facet Antoine Turquet
Andreas Wuestefeld
Guro K. Svendsen
Finn Kåre Nyhammer
Espen Lauvlund Nilsen
Andreas Per-Ola Persson
Vetle Refsum
author_sort Antoine Turquet
collection DOAJ
description Avalanches present substantial hazard risk in mountainous regions, particularly when avalanches obstruct roads, either hitting vehicles directly or leaving traffic exposed to subsequent avalanches during cycles. Traditional detection methods often are designed to cover only a limited section of a road stretch, hampering effective risk management. This research introduces a novel approach using Distributed Acoustic Sensing (DAS) for avalanche detection. The monitoring site in Northern Norway is known to be frequently impacted by avalanches. Between 2022–2024, we continuously monitored the road for avalanches blocking the traffic. The automated alert system identifies avalanches affecting the road and estimates accumulated snow. The system provides continuous, real-time monitoring with competitive sensitivity and accuracy over large areas (up to 170 km) and for multiple sites on parallel. DAS powered alert system can work unaffected by visual barriers or adverse weather conditions. The system successfully identified 10 road-impacting avalanches (100% detection rate). Our results via DAS align with the previous works and indicate that low frequency part of the signal (<20 Hz) is crucial for detection and size estimation of avalanche events. Alternative fiber installation methods are evaluated for optimal sensitivity to avalanches. Consequently, this study demonstrates its durability and lower maintenance requirements, especially when compared to the high setup costs and coverage limitations of radar systems, or the weather and lighting vulnerabilities of cameras. Furthermore the system can detect vehicles on the road as important supplemental information for search and rescue operations, and thus the authorities can be alerted, thereby playing a vital role in urgent rescue efforts.
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spelling doaj-art-cb0db9997c7240d1b2e5ab354279cf9a2024-12-27T14:28:13ZengMDPI AGGeoHazards2624-795X2024-12-01541326134510.3390/geohazards5040063Automated Snow Avalanche Monitoring and Alert System Using Distributed Acoustic Sensing in NorwayAntoine Turquet0Andreas Wuestefeld1Guro K. Svendsen2Finn Kåre Nyhammer3Espen Lauvlund Nilsen4Andreas Per-Ola Persson5Vetle Refsum6NORSAR, Gunnar Randers Vei 15, 2007 Kjeller, NorwayNORSAR, Gunnar Randers Vei 15, 2007 Kjeller, NorwayNORSAR, Gunnar Randers Vei 15, 2007 Kjeller, NorwayNorconsult AS, 1338 Sandvika, NorwayTroms Fylkeskommune, 9296 Tromsø, NorwayTroms Fylkeskommune, 9296 Tromsø, NorwayNORSAR, Gunnar Randers Vei 15, 2007 Kjeller, NorwayAvalanches present substantial hazard risk in mountainous regions, particularly when avalanches obstruct roads, either hitting vehicles directly or leaving traffic exposed to subsequent avalanches during cycles. Traditional detection methods often are designed to cover only a limited section of a road stretch, hampering effective risk management. This research introduces a novel approach using Distributed Acoustic Sensing (DAS) for avalanche detection. The monitoring site in Northern Norway is known to be frequently impacted by avalanches. Between 2022–2024, we continuously monitored the road for avalanches blocking the traffic. The automated alert system identifies avalanches affecting the road and estimates accumulated snow. The system provides continuous, real-time monitoring with competitive sensitivity and accuracy over large areas (up to 170 km) and for multiple sites on parallel. DAS powered alert system can work unaffected by visual barriers or adverse weather conditions. The system successfully identified 10 road-impacting avalanches (100% detection rate). Our results via DAS align with the previous works and indicate that low frequency part of the signal (<20 Hz) is crucial for detection and size estimation of avalanche events. Alternative fiber installation methods are evaluated for optimal sensitivity to avalanches. Consequently, this study demonstrates its durability and lower maintenance requirements, especially when compared to the high setup costs and coverage limitations of radar systems, or the weather and lighting vulnerabilities of cameras. Furthermore the system can detect vehicles on the road as important supplemental information for search and rescue operations, and thus the authorities can be alerted, thereby playing a vital role in urgent rescue efforts.https://www.mdpi.com/2624-795X/5/4/63distributed acoustic sensingsnow avalanche dynamicsautomated avalanche detectionhazardous mass movementsnatural hazardssignal processing
spellingShingle Antoine Turquet
Andreas Wuestefeld
Guro K. Svendsen
Finn Kåre Nyhammer
Espen Lauvlund Nilsen
Andreas Per-Ola Persson
Vetle Refsum
Automated Snow Avalanche Monitoring and Alert System Using Distributed Acoustic Sensing in Norway
GeoHazards
distributed acoustic sensing
snow avalanche dynamics
automated avalanche detection
hazardous mass movements
natural hazards
signal processing
title Automated Snow Avalanche Monitoring and Alert System Using Distributed Acoustic Sensing in Norway
title_full Automated Snow Avalanche Monitoring and Alert System Using Distributed Acoustic Sensing in Norway
title_fullStr Automated Snow Avalanche Monitoring and Alert System Using Distributed Acoustic Sensing in Norway
title_full_unstemmed Automated Snow Avalanche Monitoring and Alert System Using Distributed Acoustic Sensing in Norway
title_short Automated Snow Avalanche Monitoring and Alert System Using Distributed Acoustic Sensing in Norway
title_sort automated snow avalanche monitoring and alert system using distributed acoustic sensing in norway
topic distributed acoustic sensing
snow avalanche dynamics
automated avalanche detection
hazardous mass movements
natural hazards
signal processing
url https://www.mdpi.com/2624-795X/5/4/63
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