Please use this identifier to cite or link to this item:
http://hdl.handle.net/2122/2274
DC Field | Value | Language |
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dc.contributor.authorall | Esposito, A. M.; INFM Sez. di Salerno and INFN Gruppo Coll. di Salerno | en |
dc.contributor.authorall | Giudicepietro, F.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italia | en |
dc.contributor.authorall | Scarpetta, S.; INFM Sez. di Salerno and INFN Gruppo Coll. di Salerno | en |
dc.contributor.authorall | D'Auria, L.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italia | en |
dc.contributor.authorall | Marinaro, M.; Istituto Internazionale per gli Alti Studi Scientifici (IIASS) Vietri sul Mare (SA) | en |
dc.contributor.authorall | Martini, M.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italia | en |
dc.date.accessioned | 2007-07-03T08:53:19Z | en |
dc.date.available | 2007-07-03T08:53:19Z | en |
dc.date.issued | 2006 | en |
dc.identifier.uri | http://hdl.handle.net/2122/2274 | en |
dc.description.abstract | In this article we report on the implementation of an automatic system for discriminating landslide seismic signals on Stromboli island (southern Italy). This is a critical point for monitoring the evolution of this volcanic island, where at the end of 2002 a violent tsunami occurred, triggered by a big landslide. We have devised a supervised neural system to discriminate among landslide, explosion-quake, and volcanic microtremor signals. We first preprocess the data using a compact representation of the seismic records. Both spectral features and amplitude-versus-time information have been extracted from the data to characterize the different types of events. As a second step, we have set up a supervised classification system, trained using a subset of data (the training set) and tested on another data set (the test set) not used during the training stage. The automatic system that we have realized is able to correctly classify 99% of the events in the test set for both explosion-quake/ landslide and explosion-quake/microtremor couples of classes, 96% for landslide/ microtremor discrimination, and 97% for three-class discrimination (landslides/ explosion-quakes/microtremor). Finally, to determine the intrinsic structure of the data and to test the efficiency of our parameterization strategy, we have analyzed the preprocessed data using an unsupervised neural method. We apply this method to the entire dataset composed of landslide, microtremor, and explosion-quake signals. The unsupervised method is able to distinguish three clusters corresponding to the three classes of signals classified by the analysts, demonstrating that the parameterization technique characterizes the different classes of data appropriately. | en |
dc.format.extent | 850226 bytes | en |
dc.format.mimetype | application/pdf | en |
dc.language.iso | English | en |
dc.publisher.name | Seismological Society of America | en |
dc.relation.ispartof | Bulletin of the Seismological Society of America | en |
dc.relation.ispartofseries | 4/96 (2006) | en |
dc.subject | NONE | en |
dc.title | Automatic Discrimination among Landslide, Explosion-Quake, and Microtremor Seismic Signals at Stromboli Volcano using Neural Networks | en |
dc.type | article | en |
dc.description.status | Published | en |
dc.type.QualityControl | Peer-reviewed | en |
dc.description.pagenumber | 1230-1240 | en |
dc.subject.INGV | 04. Solid Earth::04.06. Seismology::04.06.08. Volcano seismology | en |
dc.identifier.doi | 10.1785/0120050097 | en |
dc.relation.references | Barberi, F., M. Rosi, and A. Sodi (1993). Volcanic hazard assessment at Stromboli based on review of historical data, Acta Vulcanol. 3, 173– 187. Bishop, C. (1995). Neural Networks for Pattern Recognition, Oxford University Press, New York, 500 pp. Bonaccorso, A., S. Calvari, G. Garfi, L. Lodato, and D. Patane` (2003). Dynamics of the December 2002 flank failure and tsunami at Stromboli volcano inferred by volcanological and geophysical observations, Geophys. Res. Lett. 30, no. 18, I1941, doi 10.1029/2003GL017702. Calvari, S., L. Spampinato, L. Lodato, A. J. L. Harris, M. R. Patrick, J. Dehn, M. R. Burton, and D. Andronico (2005). Chronology and complex volcanic processes during the 2002–2003 flank eruption at Stromboli volcano (Italy) reconstructed from direct observations and surveys with a handheld thermal camera, J. Geophys. Res. 110, no. B02201, doi 10.1029/2004JB003129. Cercone, J. M., and J. R. Martin (1994). An application of neural networks to seismic signal discrimination, Phillips Laboratory, report no. 3, PLTR- 94-2178, Hanscon, AFB, Massachusetts. Chouet, B., P. Dawson, T. Ohminato, M. Martini, G. Saccorotti, F. Giudicepietro, G. De Luca, G. Milana, and R. Scarpa (2003). Source mechanisms of explosions at Stromboli Volcano, Italy, determined from moment-tensor inversions of very-long-period data, J. Geophys. Res. 108, no. B1. Chouet, B., G. Saccorotti, M. Martini, P. Dawson, G. De Luca, G. Milana, and R. Scarpa (1997). Source and path effects in the wavefields of tremor and explosions at Stromboli volcano, Italy, J. Geophys. Res. 102, 15,129–15,150. Del Pezzo, E., A. Esposito, F. Giudicepietro, M. Marinaro, M. Martini, and S. Scarpetta (2003). Discrimination of earthquakes and underwater explosions using neural networks, Bull. Seism. Soc. Am. 93, no. 1, 215–223. Dowla, F. U. (1995). Neural networks in seismic discrimination, in Monitoring a Comprehensive Test Ban Treaty, E. S. Husebye and A. M. Dainty (Editors), NATO ASI, Series E, Vol. 303, Kluwer, Dordrecht, The Netherlands, 777–789. Dowla, F. U., S. R. Taylor, and R. W. Anderson (1990). Seismic discrimination with artificial neural networks: preliminary results with regional spectral data, Bull. Seism. Soc. Am. 80, 1346–1373. Gitterman, Y., V. Pinky, and A. Shapira (1999). Spectral discrimination analysis of Eurasian nuclear tests and earthquakes recorded by the Israel seismic network and the NORESS array, Phys. Earth. Planet. Interiors 113, 111–129. Hartse, H. E., W. S. Phillips, M. C. Fehler, and L. S. House (1995). Singlestation spectral discrimination using coda waves, Bull. Seism. Soc. Am. 85, 1464–1474. Kohonen, T. (1997). Self-Organizing Maps, Second Ed., Series in Information Sciences, Vol. 30, Springer, Heidelberg. Kohonen, T., J. Hynninen, J. Kangas, and J. Laaksonen (1996). SOM_PAK: the self-organizing map program package, Report A31, Helsinki University of Technology, Laboratory of Computer and Information Science, Espoo, Finland. Also available at www.cis.hut.fi/research/ somlvq pak.shtml. Makhoul, J. (1975). Linear prediction: a tutorial review, Proc. IEEE 63, 561–580. Martini, M. (2004). Very Long Period seismic activity at Stromboli volcano (Italy) in 2003–2004, in IAVCEI General Assembly abstracts, Pucon, Chile, 14–19 November 2004. Martini, M., B. Chouet, L. D’Auria, F. Giudicepietro, and P. Dawson (2004). The seismic source stability of the Very Long Period signals of the Stromboli volcano, in I General Assembly Abstracts–EGU, Nice, 25–30 April 2004. Maurer, W. J., F. U. Dowla, and S. P. Jarpe (1992). Seismic event interpretation using self organizing neural networks, Proc. SPIE 1709, 950–958. Pino, N. A., M. Ripepe, and G. B. Cimini (2004). The Stromboli volcano landslides of December 2002: a seismological description, Geophys. Res. Lett. 31, no. 2, L02605, doi 10.1029/2003GL018385. Rowe, C. A., C. H. Thurber, and R. A. White (2004). Dome growth behavior at Soufriere Hills volcano, Montserrat, revealed by relocation of volcanic event swarms, 1995–1996, J. Volc. Geotherm. Res. 134, 199–221. Scarpetta, S., F. Giudicepietro, E. C. Ezin, S. Petrosino, E. Del Pezzo, M. Martini, and M. Marinaro (2005). Automatic Classification of seismic signals at Mt. Vesuvius Volcano, Italy using Neural Networks, Bull. Seism. Soc. Am. 95, 185–196. Tiira, T. (1999). Detecting teleseismic events using artificial neural networks, Comp. Geosci. 25, 929–939. Wang, J., and T. Teng (1995). Artificial neural network based seismic detector, Bull. Seism. Soc. Am. 85, 308–319. Young, S. J. (1993). HTK: Hidden Markov Model Toolkit V1.5, Cambridge University Engineering Department Speech Group and Entropic Research Laboratories, Inc., Washington, D.C. | en |
dc.description.fulltext | reserved | en |
dc.contributor.author | Esposito, A. M. | en |
dc.contributor.author | Giudicepietro, F. | en |
dc.contributor.author | Scarpetta, S. | en |
dc.contributor.author | D'Auria, L. | en |
dc.contributor.author | Marinaro, M. | en |
dc.contributor.author | Martini, M. | en |
dc.contributor.department | INFM Sez. di Salerno and INFN Gruppo Coll. di Salerno | en |
dc.contributor.department | Istituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italia | en |
dc.contributor.department | INFM Sez. di Salerno and INFN Gruppo Coll. di Salerno | en |
dc.contributor.department | Istituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italia | en |
dc.contributor.department | Istituto Internazionale per gli Alti Studi Scientifici (IIASS) Vietri sul Mare (SA) | en |
dc.contributor.department | Istituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italia | en |
item.openairetype | article | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
item.grantfulltext | restricted | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | With Fulltext | - |
crisitem.author.dept | Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OV, Napoli, Italia | - |
crisitem.author.dept | Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OV, Napoli, Italia | - |
crisitem.author.dept | Istituto Nazionale per la Fisica della Materia Sezione di Salerno and Istituto Nazionale di Fisica Nucleare Gruppo Collegato di Salerno, Italy | - |
crisitem.author.dept | Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OV, Napoli, Italia | - |
crisitem.author.dept | Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OV, Napoli, Italia | - |
crisitem.author.orcid | 0000-0003-2192-3720 | - |
crisitem.author.orcid | 0000-0001-6198-8655 | - |
crisitem.author.orcid | 0000-0002-7664-2216 | - |
crisitem.author.orcid | 0000-0001-9934-9218 | - |
crisitem.author.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
crisitem.author.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
crisitem.author.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
crisitem.author.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
crisitem.classification.parent | 04. Solid Earth | - |
crisitem.department.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
crisitem.department.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
crisitem.department.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
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