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Authors: Montalto, P.*
Nunnari, G.*
Cannata, A.*
Privitera, E.*
Patanè, D.*
Editors: Fortuna, Luigi; Università degli studi di Catania
Fradkov, Alexander; Russian Academy of Sciences
Frasca, Mattia; Università degli studi di Catania
Title: Clustering of infrasonic events as tool to detect and locate explosive activity at Mt. Etna volcano
Issue Date: 2010
Keywords: Infrasound
Mt. Etna volcano
Self-Organizing Map
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.
Appears in Collections:Book chapters
04.08.07. Instruments and techniques
04.06.08. Volcano seismology
04.08.06. Volcano monitoring

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