Machine Learning Reveals the Seismic Signature of Eruptive Behavior at Piton de la Fournaise Volcano-Reference-Cited by-同舟云学术

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Machine Learning Reveals the Seismic Signature of Eruptive Behavior at Piton de la Fournaise Volcano

Published:2020-02-07 Issue:3 Volume:47 Page:
ISSN:0094-8276
Container-title:Geophysical Research Letters
language:en
Short-container-title:Geophys. Res. Lett.

Author:

Ren C. X.¹²^ORCID,Peltier A.³⁴^ORCID,Ferrazzini V.³⁴^ORCID,Rouet‐Leduc B.²^ORCID,Johnson P. A.⁴^ORCID,Brenguier F.⁵^ORCID

Affiliation:

1. Space Data Science and Systems Group Los Alamos National Laboratory Los Alamos NM USA

2. Geophysics Group Los Alamos National Laboratory Los Alamos NM USA

3. Université de Paris, Institut de physique du globe de Paris, CNRS Paris France

4. Observatoire volcanologique du Piton de la Fournaise, Institut de physique du globe de Paris La Plaine des Cafres France

5. ISterre Université Grenoble Alpes Gières France

Funder

Laboratory Directed Research and Development

Los Alamos National Laboratory

H2020 European Research Council

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019GL085523

Reference36 articles.

1. Applications of clustering in exploration seismology

2. Location of seismic events and eruptive fissures on the Piton de la Fournaise volcano using seismic amplitudes

3. Location of tremor sources and estimation of lava output using tremor source amplitude on the Piton de la Fournaise volcano: 1. Location of tremor sources

4. Location of tremor sources and estimation of lava output using tremor source amplitude on the Piton de la Fournaise volcano: 2. Estimation of lava output

5. Using volcanic tremor for eruption forecasting at White Island volcano (Whakaari), New Zealand

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