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August 18, 2025Natural hazards and earth system sciencesOpen Access

Seismic signal characterization of snow avalanches using distributed acoustic sensing in Grasdalen, western Norway

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Authors

FKFranz KleineCBCharlotte BrulandAWAndreas Wüestefeld

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Overview

Analysis reveals snow avalanche signals in mountainous areas, suggesting improvements for detection methods.

Key Points

  • Seismic data analysis identified distinct characteristics of snow avalanche signals, including frequency peaks between 20-50 Hz.
  • Continuous recording over three seasons highlighted the challenge of false positives from road traffic affecting avalanche detection.
  • Using distributed acoustic sensing, seismic signals were categorized, showcasing potential for monitoring long road networks in remote regions.
  • Findings align with earlier studies on avalanche detection, emphasizing the need for additional refinement in simple detection methods.

Cite This Study

Kleine et al. (2025) studied this question.

synapsesocial.com/papers/68af431bad7bf08b1ead192bhttps://doi.org/10.5194/nhess-25-2771-2025
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Advances in Avalanche Monitoring in Norway: Insights from Distributed Acoustic Sensing2024
  2. 2Toward automatic avalanche detection with Distributed-Acoustic-Sensing leveraging telecommunication infrastructure2024
  3. 3Snow Avalanche Characteristics Along Milford Road, Aotearoa New Zealand, Using Distributed Acoustic Sensing2026
  4. 4Decennial infrasonic array analysis of snow-avalanche activity and its weather forcing in Pennine Alps: implications for forecasting2024
  5. 5Autoencoder-based feature extraction for the automatic detection of snow avalanches in seismic data2025