Characterization of Strombolian events by using independent component analysis

A. Ciaramella (1) , E. de Lauro (2) , S. de Martino (2, 3, 4) , B. Di Lieto (2) , M. Falanga (2, 3, 4) , R. Tagliaferri (1)

1 Dipartimento di Matematica ed Informatica
2 Dipartimento di Fisica
3 Unità di Salerno
4 INFN

We apply Independent Component Analysis (ICA) to seismic signals recorded at Stromboli volcano. Firstly, we show how ICA works considering synthetic signals, which are generated by dynamical systems. We prove that Strombolian signals, both tremor and explosions, in the high frequency band (>0.5 Hz), are similar in time domain. This seems to give some insights to the organ pipe model generation for the source of these events. Moreover, we are able to recognize in the tremor signals a low frequency component (<0.5 Hz), with a well defined peak corresponding to 30s.

Domaines: Cosmologie et astrophysique extra-galactique [astro-ph.CO]; Astrophysique [astro-ph]; Sciences de la Terre

A. Ciaramella, E. de Lauro, S. de Martino, B. Di Lieto, M. Falanga, et al.. Characterization of Strombolian events by using independent component analysis. Nonlinear Processes in Geophysics, 2004, 11 (4), pp.453-461. ⟨hal-00303044⟩