Service interruption on Monday 11 July from 12:30 to 13:00: all the sites of the CCSD (HAL, EpiSciences, SciencesConf, AureHAL) will be inaccessible (network hardware connection).
Skip to Main content Skip to Navigation
Journal articles

Single-station monitoring of volcanoes using seismic ambient noise

Abstract : Seismic ambient noise cross correlation is increasingly used to monitor volcanic activity. However, this method is usually limited to volcanoes equipped with large and dense networks of broadband stations. The single-station approach may provide a powerful and reliable alternative to the classical "cross-station" approach when measuring variation of seismic velocities. We implemented it on the Piton de la Fournaise in Reunion Island, a very active volcano with a remarkable multidisciplinary continuous monitoring. Over the past decade, this volcano has been increasingly studied using the traditional cross-correlation technique and therefore represents a unique laboratory to validate our approach. Our results, tested on stations located up to 3.5 km from the eruptive site, performed as well as the classical approach to detect the volcanic eruption in the 1-2 Hz frequency band. This opens new perspectives to successfully forecast volcanic activity at volcanoes equipped with a single three-component seismometer.
Document type :
Journal articles
Complete list of metadata

https://hal-insu.archives-ouvertes.fr/insu-03581311
Contributor : Nathalie POTHIER Connect in order to contact the contributor
Submitted on : Saturday, February 19, 2022 - 1:37:44 PM
Last modification on : Monday, February 21, 2022 - 3:28:12 AM
Long-term archiving on: : Friday, May 20, 2022 - 6:18:42 PM

File

Geophysical Research Letters -...
Publisher files allowed on an open archive

Licence

Copyright

Identifiers

Citation

Raphael S. M. de Plaen, Thomas Lecocq, Corentin Caudron, Valérie Ferrazzini, Olivier Francis. Single-station monitoring of volcanoes using seismic ambient noise. Geophysical Research Letters, American Geophysical Union, 2016, 43, pp.8511-8518. ⟨10.1002/2016GL070078⟩. ⟨insu-03581311⟩

Share

Metrics

Record views

39

Files downloads

7