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.
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References
Scherbaum, F., Wendler, J.: Cross spectral analysis of Swabian Jura (SW Germany) 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., Mueller, C.S.: Four similar earthquakes in central California. Geophys. Res. Lett. 7, 821–824 (1980)
Got, J.L., Frechet, M., Klein, F.W.: 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 83(4), 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., Garcia-Fernandez, M.: 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), 264–323 (1999)
Giancarlo, R., Lo Bosco, G., Pinello, L.: Distance Functions, Clustering Algorithms and Microarray Data Analysis. In: Blum, C., Battiti, R. (eds.) LION 4. LNCS, vol. 6073, pp. 125–138. Springer, Heidelberg (2010)
Hubert, L., Arabie, P.: Comparing partitions. Journal of Classification 2, 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)
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Benvegna, F., D’Alessando, A., Bosco, G.L., Luzio, D., Pinello, L., Tegolo, D. (2011). A New Dissimilarity Measure for Clustering Seismic Signals. In: Maino, G., Foresti, G.L. (eds) Image Analysis and Processing – ICIAP 2011. ICIAP 2011. Lecture Notes in Computer Science, vol 6979. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24088-1_45
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DOI: https://doi.org/10.1007/978-3-642-24088-1_45
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