Publication Date:
2017-04-04
Description:
Continuous monitoring at Mt. Etna volcano usually unveils remarkable changes in
geophysical and geochemical parameters before the onset of volcanic activity. However, signals of
apparent impending volcanic unrest are sometimes recorded without being followed by any eruption.
Based on data acquired by the permanent monitoring networks run by INGV, we present cases of
"failed eruptions" at Mt Etna from February to April 2007. In the time span analyzed, there were
recurrent seismic unrest episodes in the form of enhancements of the volcanic tremor amplitude,
which did not culminate in eruptive activity. To explain the origin of these variations, we propose
a multidisciplinary study, in which we analyze plume S02 flux, in soil radon and ambient
parameters (pressure and temperature), thermal and volcanic tremor data. A pattern
classification method based on Kohonen maps and fuzzy clustering sheds further light
on changes in volcanic tremor, radon and ambient parameters. Overall, we conclude that the
variations observed were the results of episodes of gas pulses and/or rock fracturing. The
fluid pressure build up allowed upraise of magma batches that generally failed to reach the
surface. Actually, only two "real eruptions" (with short-lived lava fountains on March 29 and
April 10-11) occurred during the studied period. In summary, the application of unsupervised
classification techniques to volcanic tremor, radon data and ambient parameters represent a
promising tool for the surveillance of active volcanoes.
Description:
Published
Description:
Nicolosi (Catania), Italy
Description:
2V. Dinamiche di unrest e scenari pre-eruttivi
Description:
open
Keywords:
Etna
;
data mining
;
seismic data
;
thermal data
;
SO2 flux
;
in-situ Radon measurement
;
failed eruption
;
05. General::05.01. Computational geophysics::05.01.02. Cellular automata, fuzzy logic, genetic alghoritms, neural networks
Repository Name:
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Type:
Poster session
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