Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/8077
Authors: Cassisi, C.* 
Aliotta, M.* 
Cannata, A.* 
Montalto, P.* 
Patanè, D.* 
Pulvirenti, A.* 
Spampinato, L.* 
Title: Motif Discovery on Seismic Amplitude Time Series: The Case Study of Mt Etna 2011 Eruptive Activity
Issue Date: 2013
Series/Report no.: /170 (2013)
DOI: 10.1007/s00024-012-0560-y
URI: http://hdl.handle.net/2122/8077
Keywords: Motif discovery
pattern recognition
volcano monitoring
Subject Classification04. Solid Earth::04.06. Seismology::04.06.08. Volcano seismology 
Abstract: Algorithms searching for similar patterns are widely used in seismology both when the waveforms of the events of interest are known and when there is no a priori-knowledge. Such methods usually make use of the cross-correlation coefficient as a measure of similarity; if there is no a-priori knowledge, they behave as brute-force searching algorithms. The disadvantage of these methods, preventing or limiting their application to very large datasets, is computational complexity. The Mueen–Keogh (MK) algorithm overcomes this limitation by means of two optimization techniques—the early abandoning concept and space indexing. Here, we apply the MK algorithm to amplitude time series retrieved from seismic signals recorded during episodic eruptive activity of Mt Etna in 2011. By adequately tuning the input to the MK algorithm we found eight motif groups characterized by distinct seismic amplitude trends, each related to a different phenomenon. In particular, we observed that earthquakes are accompanied by sharp increases and decreases in seismic amplitude whereas lava fountains are accompanied by slower changes. These results demonstrate that the MK algorithm, because of its particular features, may have wide applicability in seismology.
Appears in Collections:Papers Published / Papers in press

Files in This Item:
File Description SizeFormat 
Cassisi et al., 2012 PAGEOPH.pdf1.57 MBAdobe PDFView/Open
Show full item record

Page view(s)

277
Last Week
1
Last month
0
checked on Aug 14, 2018

Download(s)

27
checked on Aug 14, 2018

Google ScholarTM

Check

Altmetric