Clustering of infrasonic events as tool to detect and locate explosive activity at Mt. Etna volcano
Author(s)
Language
English
Obiettivo Specifico
1.4. TTC - Sorveglianza sismologica delle aree vulcaniche attive
Status
Published
Pages Number
195-200
Refereed
Yes
Date Issued
2010
Abstract
Active volcanoes characterized by open conduit conditions effectively generate
sonic and infrasonic signals, whose investigation provides useful information for
both monitoring purposes and study of the dynamics of explosive phenomena.
At Mt. Etna volcano (Italy) a clustering algorithm based on spectral features
and amplitude of the infrasonic events was developed. It allows to recognize the
active vent with no location algorithm and by using only one station. Moreover,
a waveform inversion procedure was coded, based on genetic algorithm, that
enables us to quantitatively investigate the infrasound source parameters.
sonic and infrasonic signals, whose investigation provides useful information for
both monitoring purposes and study of the dynamics of explosive phenomena.
At Mt. Etna volcano (Italy) a clustering algorithm based on spectral features
and amplitude of the infrasonic events was developed. It allows to recognize the
active vent with no location algorithm and by using only one station. Moreover,
a waveform inversion procedure was coded, based on genetic algorithm, that
enables us to quantitatively investigate the infrasound source parameters.
Type
book chapter
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Montalto et al 2009.pdf
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