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  5. Clustering of infrasonic events as tool to detect and locate explosive activity at Mt. Etna volcano
 
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Clustering of infrasonic events as tool to detect and locate explosive activity at Mt. Etna volcano

Author(s)
Montalto, P.  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia  
Nunnari, G.  
Dipartimento di Ingegneria Elettrica, Elettronica e dei Sistemi, Universit´a degli studi di Catania  
Cannata, A.  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia  
Privitera, E.  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia  
Patanè, D.  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OE, Catania, Italia  
Editor(s)
Fortuna, Luigi  
Università degli studi di Catania  
Fradkov, Alexander  
Russian Academy of Sciences  
Language
English
Obiettivo Specifico
1.4. TTC - Sorveglianza sismologica delle aree vulcaniche attive
Status
Published
Pages Number
195-200
Refereed
Yes
Journal
From Physics to Control Through an Emergent View  
Date Issued
2010
URI
https://www.earth-prints.org/handle/2122/6285
Subjects
04. Solid Earth::04.06. Seismology::04.06.08. Volcano seismology  
04. Solid Earth::04.08. Volcanology::04.08.06. Volcano monitoring  
04. Solid Earth::04.08. Volcanology::04.08.07. Instruments and techniques  
Subjects

Infrasound

Mt. Etna volcano

Self-Organizing Map

K-means

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.
Type
book chapter
File(s)
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Name

Montalto et al 2009.pdf

Size

1.94 MB

Format

Adobe PDF

Checksum (MD5)

55d993d986808cc80bb3e961d69c2dac

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