ArticleNature communications2025
Neural Network Nodal Ambient Noise Tomography of a transient plumbing system under unrest, Vulcano, Italy.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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Who cites it
2 citing papers in PubMed.
- Temporary Seismic Array Installation in the Contursi Terme Hydrothermal System: A Step Toward Geothermal Assessment.Sensors (Basel, Switzerland) · 2025Article
- Neural Network Nodal Ambient Noise Tomography of a transient plumbing system under unrest, Vulcano, Italy.Nature communications · 2025Article
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Volcanic risk escalates significantly during unrest. In late 2021, the Italian island of Vulcano entered into a phase of unrest featuring Very Long Period seismic events, which are considered to be markers of magma and gas flowing across the volcanic plumbing system. Here we show how Neural Network Nodal Ambient Noise Tomography generates a high-resolution shear-wave velocity model for investigating the causative drivers of Vulcano's unrest. Using a deep learning model we harvest seismic dispersion data from a dense nodal seismic network deployed during the early unrest's phase. The inverted 3-D model reveals a high-resolution tomography of the shallow part of a volcanic system in unrest. If deployed and rapidly processed in (near) real-time during periods of unrest, Neural Network Nodal Ambient Noise Tomography can lead to dynamic and adaptive evacuation plans. Such advances would contribute to more effective, source-dependent risk mitigation schemes in volcanic regions, potentially saving lives.
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Registered trials
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