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A new dissimilarity measure for clustering seismic signals
Author(s)
Type
Conference paper
Language
English
Obiettivo Specifico
2.5. Laboratorio per lo sviluppo di sistemi di rilevamento sottomarini
Status
Published
Issued date
September 6, 2011
Conference Location
Ravenna Italy
Abstract
Hypocenter and focal mechanism of an earthquake can be
determined by the analysis of signals, named waveforms, related to the
wave field produced and recorded by a seismic network. Assuming that
waveform similarity implies the similarity of focal parameters, the analysis
of those signals characterized by very similar shapes can be used
to give important details about the physical phenomena which have
generated an earthquake. Recent works have shown the effectiveness of
cross-correlation and/or cross-spectral dissimilarities to identify clusters
of seismic events. In this work we propose a new dissimilarity measure
between seismic signals whose reliability has been tested on real seismic
data by computing external and internal validation indices on the
obtained clustering. Results show its superior quality in terms of cluster
homogeneity and computational time with respect to the largely adopted
cross correlation dissimilarity.
determined by the analysis of signals, named waveforms, related to the
wave field produced and recorded by a seismic network. Assuming that
waveform similarity implies the similarity of focal parameters, the analysis
of those signals characterized by very similar shapes can be used
to give important details about the physical phenomena which have
generated an earthquake. Recent works have shown the effectiveness of
cross-correlation and/or cross-spectral dissimilarities to identify clusters
of seismic events. In this work we propose a new dissimilarity measure
between seismic signals whose reliability has been tested on real seismic
data by computing external and internal validation indices on the
obtained clustering. Results show its superior quality in terms of cluster
homogeneity and computational time with respect to the largely adopted
cross correlation dissimilarity.
References
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Mezcua J., Rueda J., Earthquake relative location based on waveform similarity.
Tectonophysics, 233, 253-263, 1994
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Bull.Seismol. Soc. Am., 89, 1143-1146, 1999.
Gillard D., Rubin A.M., Okubom P., Highly concentrated seismicity caused by
deformation of Kilauea’s depp magma system. Nature, 384, 343-346, 1996.
Phillips W.S., House L.S., Feheler J., Detailed joint structure in a geothermal
reservoir from studies of induced microearthquake studies. Journal of Geophysical
Research, 102, 745-763, 1997.
Jain A. K., Murty M. N., Flynn P. J., Data clustering: a review, ACM Comput.
Surv., 31(3), pp. 264–323, 1999.
Giancarlo R., Lo Bosco G., Pinello L., Distance Functions, Clustering Algorithms
and Microarray Data Analysis, Learning and Intelligent Optimization 2010, Lecture
Notes in Computer Science, 6073, 125–138, 2010.
Hubert, L. and Arabie, P., Comparing partitions, Journal of Classification, 2, pp.
193–218, 1985
Shamir R., Sharan R., Algorithmic approaches to clustering gene expression data,
Current Topics in Computational Biology, 269–299, 2002.
D’Alessandro A., Luzio D., D’Anna G., Mangano G., Panepinto S., Single station
location of small-magnitude seismic events recorded by OBS in the Ionian Sea.
Geophysical Research Abstracts, EGU General Assembly, Vienna, Austria, 12,
EGU2010-8840, 2010.
Giunta G., Luzio D., Tondi E., De Luca L., Giorgiani A., D’Anna G., Renda P.,
Cello G., Nigro F., Vitale M.,The Palermo (Siciliy) seismic cluster of Septermber
2002, in the seismotectonic framework of the Tyrrhenian Sea-Sicily border area,
Ann. of Geoph., 47(6), 1755–1770, 2004
threecomponent microearthquake recordings, J. Geophys., 60, 157-166, 1986.
Console R., Di Giovambattista R., Local earthquake relative location by digital
records, Phys.Earth Planet. Inter. 47, 43-49, 1987.
Geller R.J. and Mueller, C.S., Four similar earthquakes in central California, Geophys.
Res. Lett. 7, 821824, 1980.
Got J.L., M. Frechet, F.W. Klein, Deep fault plane geometry inferred from multiplet
relative relocation beneath the south flank of Kilauea, J. Geophys. Res. 99,
15, 375-386, 1994.
Aster R.C., Scott J., Comprehensive Characterization of Waveform Similarity in
Microeartquake data sets, Bulletin of the Seismological Society of America, Vol.
83, No. 4, pp. 1307-1314, 1993.
Maurer H.R., Deichmann N., Microearthquake cluster detection based on waveform
similarities with an application to the western Swiss Alps. Geoph. J. Int., 123, 588-
600, 1995
Deichmann N., M. Garcia-Fernandez. Rupture geometry from high-precision relative
hypocenter locations of microearthquake clusters, Geophys. J. Int. 110, 501-
517, 1992.
Mezcua J., Rueda J., Earthquake relative location based on waveform similarity.
Tectonophysics, 233, 253-263, 1994
Menke W., Using waveform similarity to constrain earthquake locations.
Bull.Seismol. Soc. Am., 89, 1143-1146, 1999.
Gillard D., Rubin A.M., Okubom P., Highly concentrated seismicity caused by
deformation of Kilauea’s depp magma system. Nature, 384, 343-346, 1996.
Phillips W.S., House L.S., Feheler J., Detailed joint structure in a geothermal
reservoir from studies of induced microearthquake studies. Journal of Geophysical
Research, 102, 745-763, 1997.
Jain A. K., Murty M. N., Flynn P. J., Data clustering: a review, ACM Comput.
Surv., 31(3), pp. 264–323, 1999.
Giancarlo R., Lo Bosco G., Pinello L., Distance Functions, Clustering Algorithms
and Microarray Data Analysis, Learning and Intelligent Optimization 2010, Lecture
Notes in Computer Science, 6073, 125–138, 2010.
Hubert, L. and Arabie, P., Comparing partitions, Journal of Classification, 2, pp.
193–218, 1985
Shamir R., Sharan R., Algorithmic approaches to clustering gene expression data,
Current Topics in Computational Biology, 269–299, 2002.
D’Alessandro A., Luzio D., D’Anna G., Mangano G., Panepinto S., Single station
location of small-magnitude seismic events recorded by OBS in the Ionian Sea.
Geophysical Research Abstracts, EGU General Assembly, Vienna, Austria, 12,
EGU2010-8840, 2010.
Giunta G., Luzio D., Tondi E., De Luca L., Giorgiani A., D’Anna G., Renda P.,
Cello G., Nigro F., Vitale M.,The Palermo (Siciliy) seismic cluster of Septermber
2002, in the seismotectonic framework of the Tyrrhenian Sea-Sicily border area,
Ann. of Geoph., 47(6), 1755–1770, 2004