Please use this identifier to cite or link to this item:
http://hdl.handle.net/2122/7721
DC Field | Value | Language |
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dc.contributor.authorall | Zaccarelli, L.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italia | en |
dc.contributor.authorall | Bianco, F.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italia | en |
dc.contributor.authorall | Zaccarelli, R.; Laboratoire d’Informatique pour la Me´canique et les Sciences de l’Ing!enieur, Orsay (Paris), France | en |
dc.date.accessioned | 2012-02-15T13:06:59Z | en |
dc.date.available | 2012-02-15T13:06:59Z | en |
dc.date.issued | 2012 | en |
dc.identifier.uri | http://hdl.handle.net/2122/7721 | en |
dc.description.abstract | SPY is a Matlab algorithm that analyzes seismic waveforms in a semiautomatic way, providing estimates of the two observables of the anisotropy: the shear-wave splitting parameters. We chose to exploit those computational processes that require less intervention by the user, gaining objectivity and reliability as a result. The algorithm joins the covariance matrix and the cross-correlation techniques, and all the computation steps are interspersed by several automatic checks intended to verify the reliability of the yields. The resulting semiautomation generates two new advantages in the field of anisotropy studies: handling a huge amount of data at the same time, and comparing different yields. From this perspective, SPY has been developed in the Matlab environment, which is widespread, versatile, and user-friendly. Our intention is to provide the scientific community with a new monitoring tool for tracking the temporal variations of the crustal stress field. | en |
dc.language.iso | English | en |
dc.publisher.name | Elsevier | en |
dc.relation.ispartof | Computer & Geosciences | en |
dc.relation.ispartofseries | /40 (2012) | en |
dc.subject | Crustal anisotropy | en |
dc.subject | Waveform analysis | en |
dc.subject | Seismic monitoring | en |
dc.subject | Stress field | en |
dc.title | Splitting parameter yield (SPY): A program for semiautomatic analysis of shear wave splitting | en |
dc.type | article | en |
dc.description.status | Published | en |
dc.type.QualityControl | Peer-reviewed | en |
dc.description.pagenumber | 138-145 | en |
dc.subject.INGV | 04. Solid Earth::04.06. Seismology::04.06.07. Tomography and anisotropy | en |
dc.subject.INGV | 04. Solid Earth::04.06. Seismology::04.06.08. Volcano seismology | en |
dc.subject.INGV | 04. Solid Earth::04.06. Seismology::04.06.09. Waves and wave analysis | en |
dc.identifier.doi | 10.1016/j.cageo.2011.08.006 | en |
dc.relation.references | Bianco, F., Scarf!ı, L., Del Pezzo, E., Patan! e, D., 2006. Shear wave splitting changes associated with the 2001 volcanic eruption on Mt Etna. Geophysical Journal International 167, 959–967. Bianco, F., Zaccarelli, L., 2009. A reappraisal of shear wave splitting parameters from Italian active volcanic areas through a semiautomatic algorithm. Journal of Seismology 13, 253–266. doi:10.1007/s10950-008-9125-z. Booth, D.C., Crampin, S., 1985. Shear-wave polarizations on a curved wavefront at an isotropic free-surface. Geophysical Journal Royal Astronomical Society 83, 31–45. Crampin, S., Volti, T., Stefa´ nsson, R., 1999. A successfully stress forecast earthquake. Geophysical Journal International 138, F1–F5. Crampin, S., Chastin, S., 2003. A review of shear wave splitting in the crack-critical crust. Geophysical Journal International 155, 221–240. Crampin, S., Gao, Y., 2006. A review of techniques for measuring shear-wave splitting above small earthquakes. Physics of the Earth and Planetary Interiors 159, 1–14. Crampin, S., Peacock, S., 2008. A review of the current understanding of seismic shear-wave splitting in the Earth’s crust and common fallacies in interpretation. Wave Motion 45, 675–722. Di Vito, M.A., Isaia, R., Orsi, G., Southon, J., de Vita, S., D’Antonio, M., Pappalardo, L., Piochi, M., 1999. Volcanism and deformation since 12,000 years at the Campi Flegrei caldera (Italy). Journal of Volcanology and Geothermal Research 91, 221–246. Gao, Y., Hao, P., Crampin, S., 2006. SWAS: A shear-wave analysis system for semiautomatic measurement of shear-wave splitting above small earthquakes. Physics of the Earth and Planetary Interiors 159, 71–89. Gerst, A., Savage, M.K., 2004. Seismic anisotropy beneath Ruapehu volcano: a possible forecasting tool. Science 306, 1543–1547. Goldstein, P., Snoke, A., 2005. SAC Availability for the IRIS Community. Incorporated Institutions for Seismology Data Management Center Electronic Newsletter. /http://www.iris.edu/news/newsletter/vol7no1/page1.htmS. Hao, P., Gao, Y., Crampin, S., 2008. An Expert System for measuring shear-wave splitting above small earthquakes. Computer & Geosciences 34, 226–234. Jurkevics, A., 1988. Polarization analysis of 3-component array data. Bulletin of the Seismological Society of America 78 (5), 1725–1743Klin, P., Priolo, E., 2008. Numerical simulation of seismic experiments in volcanic areas: development of a technique based on the Pseudo-spectral Fourier method and its application to the build up of synthetic data sets for the Campi Flegrei area. In: Marzocchi, W., Zollo, A. (Eds.), Conception, Verification and Application of Innovative Techniques to Study Active VolcanoesINGV-DPC, Rome, pp. 233–248. Savage, M.K., Wessel, A., Teanby, N.A., Hurst, A.W., 2010. Automatic measurement of shear wave splitting and applications to time varying anisotropy at Mount Ruapehu volcano, New Zealand. Journal of Geophysical Research 115, B12321–255. Silver, P.G., 1996. Seismic anisotropy beneath the continents: probing the depths of geology. Annual Review of Earth and Planetary Sciences 24, 385–432. Silver, P.G., Chan, W.W.J., 1991. Shear wave splitting and sub-continental mantle deformation. Journal of Geophysical Research 96, 16429–16454. Simons, F.J., 2004. Personal Webpage, open source software, /http://geoweb. princeton.edu/people/simons/software.htmlS, [Accessed February 24, 2010]. Teanby, N.A., Kendall, J.M., Jones, R.H., Barkved, O., 2004a. Stress-induced temporal variations in seismic anisotropy observed in microseismic data. Geophysical Journal International 156, 459–466. doi:10.1111/j.1356-246X.2004.02212.x. Teanby, N.A., Kendall, J.M., van der Baan, M., 2004b. Automation of shear-wave splitting measurements using cluster analysis. Bulletin of the Seismological Society of America 94, 453–463. The Mathworks, Inc., 2011. Matlab. /www.mathworks.comS[Accessed January 24, 2011]. Trauth, M.H., 2007. Matlab Recipes for Earth Science, 2nd ed. Springer-Verlag, Berlin, New York. W¨ ustefeld, A., Bokelmann, G., Zaroli, C., Barroul, G., 2008. SplitLab: A shear-wave splitting environment in Matlab. Computer & Geosciences 34, 515–528. Wuestefeld, A., Al Arrasi, O., Verdon, J.P., Wookey, J., Kendall, M., 2010. A strategy for automated analysis of passive microseismic data to image seismic anisotropy and fracture characteristic. Geophysical Prospecting 58, 755–773. Zaccarelli, L., Bianco, F., 2008. A shear wave analysis system for semi-automatic measurements of shear wave splitting above volcanic earthquakes: descriptions and applications. In: Marzocchi W., Zollo A. (Eds.), Conception, Verification and Application of Innovative Techniques to Study Active Volcanoes. INGV–DPC, Rome, pp. 113–124. ISBN 978-88-89972-09-0. Zaccarelli, L., Pandolfi, D., Bianco, F., Saccorotti, G., Bean, C.J., Del Pezzo, E., 2009. Temporal Changes in seismic wave propagation characteristics during the 2002–2003 Mt Etna eruption. Geophysical Journal International 178, 1779–1788. | en |
dc.description.obiettivoSpecifico | 1.4. TTC - Sorveglianza sismologica delle aree vulcaniche attive | en |
dc.description.journalType | JCR Journal | en |
dc.description.fulltext | restricted | en |
dc.contributor.author | Zaccarelli, L. | en |
dc.contributor.author | Bianco, F. | en |
dc.contributor.author | Zaccarelli, R. | en |
dc.contributor.department | Istituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italia | en |
dc.contributor.department | Istituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italia | en |
dc.contributor.department | Laboratoire d’Informatique pour la Me´canique et les Sciences de l’Ing!enieur, Orsay (Paris), France | 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 Bologna, Bologna, Italia | - |
crisitem.author.dept | Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OV, Napoli, Italia | - |
crisitem.author.dept | Laboratoire d’Informatique pour la Me´canique et les Sciences de l’Ing!enieur, Orsay (Paris), France | - |
crisitem.author.orcid | 0000-0002-4053-7625 | - |
crisitem.author.orcid | 0000-0001-5400-7724 | - |
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.classification.parent | 04. Solid Earth | - |
crisitem.classification.parent | 04. Solid Earth | - |
crisitem.department.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
crisitem.department.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
Appears in Collections: | Article published / in press |
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Splitting parameter yield (SPY) A program for semiautomatic analysis of shear-wave splitting.pdf | main article | 618.35 kB | Adobe PDF |
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