Publikationsdatum:
2017-04-04
Beschreibung:
Continuous seismic monitoring plays a key role in the surveillance of the Mt. Etna volcano. Besides
earthquakes, which often herald eruptive episodes, the persistent background signal, known as volcanic
tremor, provides important information on the volcano status. Changes in the regimes of activity are
usually concurrent with variations in tremor characteristics. As continuous recording leads rapidly to
the accumulation of large amounts of data, parameter extraction and automated processing become
crucial. We propose techniques of unsupervised classification and present a software, named
KKAnalysis, developed for this purpose. Essentials of KKAnalysis are demonstrated on tremor data
recorded on Mt. Etna during various states of volcanic activity encountered in 2007 and 2008.
KKAnalysis is based on MATLAB and combines various unsupervised pattern recognition techniques,
in particular self-organizing maps (SOM) and cluster analysis. An early software version was
successfully applied to seismic signals recorded on Mt. Etna during the eruption in 2001. Since each
situation may require different configurations, we designed KKAnalysis with a specific GUI allowing
users to easily modify parameters. All results are given graphically, in screen plots and metafiles
(MATLAB and TIF format), as well as in alphanumeric form. The synoptic visualization of results from
SOM and cluster analysis facilitates an immediate inspection. The potential of this representation is
demonstrated by focusing on data recorded during a flank eruption on May 13, 2008. Changes of tremor
characteristics can be clearly identified at a very early stage, well before enhanced volcanic activity
becomes visible in the time series. At the same time, data reduction to less than 1% of the original
amount is achieved, which facilitates interpretation and storage of the essential information. Running
the program in a typical configuration requires computing time less than 1 min, allowing an on-line
application for early warning purposes at INGV–Sezione di Catania
Beschreibung:
Published
Beschreibung:
953-961
Beschreibung:
1.5. TTC - Sorveglianza dell'attività eruttiva dei vulcani
Beschreibung:
5.6. TTC - Attività di Sala Operativa
Beschreibung:
JCR Journal
Beschreibung:
reserved
Schlagwort(e):
Self-Organizing Map
;
Cluster Analysis
;
K-means
;
Fuzzy C-means
;
Volcano Seismology
;
Volcano Monitoring
;
04. Solid Earth::04.06. Seismology::04.06.08. Volcano seismology
;
04. Solid Earth::04.08. Volcanology::04.08.06. Volcano monitoring
;
05. General::05.01. Computational geophysics::05.01.01. Data processing
;
05. General::05.01. Computational geophysics::05.01.02. Cellular automata, fuzzy logic, genetic alghoritms, neural networks
;
05. General::05.02. Data dissemination::05.02.03. Volcanic eruptions
Repository-Name:
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Materialart:
article
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