HAL : hal-00654527, version 1

Fiche détaillée

Récupérer au format BibTeX - EndNote - TEI - RefWorks -

The Fourth International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, San Juan : Porto Rico (2011)

Localization with multicomponent seismic array

Adolfo Inza 1, 2, Jerome I. Mars 2, Jean-Philippe Métaxian 1, Gareth O'Brien 3, Orlando Macedo 4

ISTERRE Chambery Collaboration(s)

(14/12/2011)

Seismo-volcano source localization is essential to improve our understanding of volcano systems. The lack of clear seismic wave phases prohibits the use of classical location methods. Seismic antennas composed of one-component (1C) seismometers provide a good estimate of the back-azimuth of the wavefield. The depth estimation, on the other hand, is difficult or impossible to determine. In order to determine the source location parameters (back-azimuth and depth), we extend the 1C seismic antenna approach to 3Cs. This communication discusses a high resolution location method using a 3C array survey (3C-MUSIC algorithm) with data from two seismic antennas installed on an andesitic volcano in Peru (Ubinas volcano). After introducing the 3C MUSIC processing, we evaluate the robustness of the location method on a full wavefield 3D synthetic dataset generated using a digital elevation model of Ubinas volcano and an homogeneous velocity model. Results show that the back-azimuth determined using the 3C array has a smaller error than a 1C array. Only the 3C method allows the recovery of the source depths. Finally, we applied the 3C-MUSIC to two seismic events recorded in 2009. Therefore, extending 1C arrays to 3C arrays in volcano monitoring allows a more accurate determination of the source epicenter and now an estimate for the depth.

1 :	Institut des sciences de la Terre (ISTerre)
	CNRS : UMR5275 – IFSTTAR – Université de Savoie – Université Joseph Fourier - Grenoble I – INSU – OSUG – Institut de recherche pour le développement [IRD] : UR219
2 :	Grenoble Images Parole Signal Automatique (GIPSA-lab)
	CNRS : UMR5216 – Université Joseph Fourier - Grenoble I – Université Pierre-Mendès-France - Grenoble II – Université Stendhal - Grenoble III – Institut Polytechnique de Grenoble - Grenoble Institute of Technology
3 :	School of Geological Sciences, University College Dublin
	University College Dublin
4 :	Instituto Geofisico del Peru (IPG)
	Instituto Geofisico del Peru,

Équipe de recherche : SIGMAPHY

Domaine

:

Sciences de l'ingénieur/Traitement du signal et de l'image Informatique/Traitement du signal et de l'image

Mots Clés : 3C-MUSIC algorithm – Seismo-volcano source localization

hal-00654527, version 1

http://hal.archives-ouvertes.fr/hal-00654527

oai:hal.archives-ouvertes.fr:hal-00654527

Contributeur : Jerome Mars <>

Soumis le : Jeudi 22 Décembre 2011, 10:41:35

Dernière modification le : Mardi 4 Décembre 2012, 14:27:39