The post-2016 long-lasting Vulcanian activity of Sabancaya volcano (Peru) and associated aeolian remobilisation of volcanic ash

Fries, Allan; Domínguez, Lucía; Jarvis, Paul A.; Pistolesi, Marco; Manrique, Nelida; Aguilar, Rigoberto; Valdivia, D.; Rossi, Eduardo; Pollastri, Stefano; Horwell, Claire J.; Bonadonna, Costanza

doi:10.1016/j.jvolgeores.2023.107876

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2024

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Cited by 3 publications

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Statistical analysis of the ground deformation of Vulcanian explosions at Sakurajima volcano, Japan

Ishii,

Iguchi

2024

Journal of Volcanology and Geothermal Research

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Statistical analysis of the ground deformation of Vulcanian explosions at Sakurajima volcano, Japan

Ishii,

Iguchi

2024

Journal of Volcanology and Geothermal Research

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Eruption Forecasting Model for Copahue Volcano (Southern Andes) Using Seismic Data and Machine Learning: A Joint Interpretation with Geodetic Data (GNSS and InSAR)

Cabrera,

Ardid,

Melchor

et al. 2024

Seismological Research Letters

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Anticipating volcanic eruptions remains a challenge despite significant scientific advancements, leading to substantial human and economic losses. Traditional approaches, like volcano alert levels, provide current volcanic states but do not always include eruption forecasts. Machine learning (ML) emerges as a promising tool for eruption forecasting, offering data-driven insights. We propose an ML pipeline using volcano-seismic data, integrating precursor extraction, classification modeling, and decision-making for eruption alerts. Testing on six Copahue volcano eruptions demonstrates our model’s ability to identify precursors and issue advanced warnings pseudoprospectively. Our model provides alerts 5–75 hr before eruptions and achieving a high true negative rate, indicating robust discriminatory power. Integrating short- and long-term data reveals seismic sensitivity, emphasizing the need for comprehensive volcanic monitoring. Our approach showcases ML’s potential to enhance eruption forecasting and risk mitigation. In addition, we analyze long-term geodetic data (Interferometric Synthetic Aperture Radar and Global Navigation Satellite System) to assess Copahue volcano deformation trends, in which we notice an absence of noteworthy deformation in the signals associated with the six small eruptions, aligning with their small magnitude.

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Near-Real-Time Multiparametric Seismic and Visual Monitoring of Explosive Activity at Sabancaya Volcano, Peru

Centeno,

Gómez,

Lazarte

et al. 2024

Preprint

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The post-2016 long-lasting Vulcanian activity of Sabancaya volcano (Peru) and associated aeolian remobilisation of volcanic ash

Cited by 3 publications

References 90 publications

Statistical analysis of the ground deformation of Vulcanian explosions at Sakurajima volcano, Japan

Statistical analysis of the ground deformation of Vulcanian explosions at Sakurajima volcano, Japan

Eruption Forecasting Model for Copahue Volcano (Southern Andes) Using Seismic Data and Machine Learning: A Joint Interpretation with Geodetic Data (GNSS and InSAR)

Near-Real-Time Multiparametric Seismic and Visual Monitoring of Explosive Activity at Sabancaya Volcano, Peru

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