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March 27, 2026Communications Earth & EnvironmentOpen Access

Seismic detection using submarine cable polarization signals with machine learning

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Authors

MCMario CarusoMMMichele MorelliAMAlfonso Monaco

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Overview

The study evaluates the feasibility of using submarine cable signals to detect earthquakes, suggesting new monitoring methods.

Key Points

  • This research aims to determine if states of polarization in submarine cables can detect seismic activity.
  • Analyzed polarization time series from the Med-Nautilus cable (2022-2024)
  • Examined the impact of seismic events on polarization states
  • Applied supervised and unsupervised machine learning models for classification
  • Moderate to large earthquakes (magnitude ≥ 5) induced detectable polarization anomalies
  • Extreme Gradient Boosting model achieved 60% accuracy in identifying seismic signals
  • First empirical validation of using polarization for seismic detection in live cables

Cite This Study

Caruso et al. (2026) studied this question.

synapsesocial.com/papers/69c620ab15a0a509bde193aahttps://doi.org/10.1038/s43247-026-03434-x
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  5. 5Monitoring surface gravity wave variability with State of Polarization sensing on a subsea telecommunication cable2026