Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/5185
DC FieldValueLanguage
dc.contributor.authorallFaenza, L.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione CNT, Roma, Italiaen
dc.contributor.authorallHainzl, S.; GeoForschungsZentrum, Telegrafenberg, 14473 Potsdam, Germanyen
dc.contributor.authorallScherbaum, F.; Institute of Earth Sciences, University of Potsdam, Karl-Liebknecht Str. 24, 14476 Potsdam - Golm, Germanyen
dc.date.accessioned2009-09-28T12:52:44Zen
dc.date.available2009-09-28T12:52:44Zen
dc.date.issued2009-05-29en
dc.identifier.urihttp://hdl.handle.net/2122/5185en
dc.description.abstractThe aim of this paper is to characterize the spatio-temporal distribution of Central-Europe seismicity. Specifically, by using a non-parametric statistical approach, the proportional hazard model, leading to an empirical estimation of the hazard function, we provide some constrains on the time behavior of earthquake generation mechanisms. The results indicate that the most conspic- uous characteristics of MW 4.0+ earthquakes is a temporal clustering lasting a couple of years. This suggests that the probability of occurrence increases immediately after a previous event. After a few years, the process becomes almost time independent. Furthermore, we investigate the cluster properties of the seismicity of Central-Europe, by comparing the obtained result with the one of synthetic catalogs generated by the epidemic type aftershock sequences (ETAS) model, which previously have been successfully applied for short term clustering. Our results indicate that the ETAS is not well suited to describe the seismicity as a whole, while it is able to capture the features of the short- term behaviour. Remarkably, similar results have been previously found for Italy using a higher magnitude threshold.en
dc.language.isoEnglishen
dc.publisher.nameElsevier B.V.en
dc.relation.ispartofTectonophysicsen
dc.relation.ispartofseries3-4/470 (2009)en
dc.subjectEarthquake Distributionen
dc.subjectEarthquake Forecasten
dc.subjectSpatio-temporal statistical analysisen
dc.subjectCluesteren
dc.subjectCentral Europeen
dc.titleStatistical analysis of the Central-Europe seismicityen
dc.typearticleen
dc.description.statusPublisheden
dc.type.QualityControlPeer-revieweden
dc.description.pagenumber195-204en
dc.subject.INGV05. General::05.01. Computational geophysics::05.01.04. Statistical analysisen
dc.identifier.doi10.1016/j.tecto.2008.04.030en
dc.relation.referencesCinti, F.R., Faenza, L., Marzocchi, W., Montone, P., 2004. Probability map of the next M≥ 5.5 earthquakes in Italy. Geochem. Geophys. Geosys. 5, Q11003, doi:10.1029/2004GC000724. Console R., Murru M. and Lombardi, A.M., 2003. Refining earthquake clus- tering models, J. Geophys. Res., 108(B10), 2468, doi:10.1029/2002JB002130. Console R., Murru M. and Catalli, F., 2006. Physical and stochastic models of earthquake clustering, Tectonophysics, 417, 141-153. Cox, D.R., 1972. Regression models and life tables (with discussion). J. R. Stat. Soc. B., 34, 187-220. Enescu, B., Ito, K., Radulian, M., Popescu, E., Bazacliu, O., 2005. Multifrac- tal and chaotic analysis of Vrancea (Romania) intermediate-depth earthquakes: investigation of the temporal distribution of events, Pure Appl. Geophys., 162, 249-271. Ellsworth, W.L., Matthews, M.V., Nadeau, R.M., Nishenko, S.P., Reasenberg, P.A., Simpson, R.W., 1998. A physically-based earthquake recurrence model for estimation of long-term earthquake probabilities. In: Proceedings of the second point meeting of the UJNR panel on earthquake research, pp. 135-149, Geographical Survey Institute. Faenza, L., Marzocchi, W., Boschi, E., 2003. A non-parametric hazard model to characterize the spatio-temporal occurrence of large earthquakes; an application to the Italian catalogue. Geophys. J. Int. 155, 2, 521-531. Faenza, L., Marzocchi, W., Lombardi, A.M., Console, R., 2004. Some insights into the time clustering of large earthquakes in Italy. Annals of Geophysics, 47, 5, 1635-1640. Faenza, L., 2005. Analysis of the spatio-temporal distribution of large earth- quakes, Ph.D. Thesis, Università degli Studi di Bologna, Alma Mater Studio- rum, Bologna, Italy. Published on Earth Print: http://hdl.handle.net /2122/3160 Faenza, L., Marzocchi, W., Serretti, P., Boschi, E., 2007. On the spatio- temporal distribution of M 7.0+ worldwide seismicity. Tectonophysics, in press. Felzer, K.R., Becker, T.W., Abercrombie, R.E., Ekström, G.& Rice, J., 2002. Triggering of the 1999 Mw 7.1 Hector Mine earthquake by aftershocks of the 1992 Mw 7.2 Landers earthquake, J. Geophys. Res., 107, B9, 2190, doi: 10.1029/2001JB000911. Frankel, A., 1995. Mapping Seismic Hazard in the Central and Easter United States, Seism. Res. Let., 66, 8-21. Gibbons, J.D., 1971. Non-parametric Statistical Inference. 306 pp., McGraw- Hill, New York. Grünthal, G. & Wahlström, R., 2003. An Mw based earthquake catalogue for central, northern and northwestern Europe using a hierarchy of magnitude conversions, J. Seimol, 7, 507-531. Hainzl, S., Beauval, C. & Scherbaum F., 2006. Estimating background activity based on inter-event-time distribution, Bul l. seismol. Soc. Am., 96, 313-320. Kagan, Y.Y., 1991. Likelihood analysis of earthquake catalogues. Geophys. J. Int. 106, 135-148. Kagan, Y. Y., Jackson, D.D.,1991. Long-term earthquake clustering. Geophys. J. Int. 104, 117-133. Kagan, Y.Y., Jackson, D.D., 2000. Probabilistic forecasting of earthquakes. Geophys. J. Int. 143, 438-453. Kalbfleisch, J.D., Prentice, R.L., 1980. The Statistical Analysis of Failure Time Data. John Wiley, New York. Kossobokov, V.G., 2006. Testing earthquake prediction methods:¡¡The West Pacific short-term forecast of earthquakes with magnitude MwHRV ≥ 5.8¿¿. Tectonophysics, 413, 25-31. International Seismological Center, On-line Bulletin, http://www.isc.ac.uk, In- ternatl. Seis. Cent., Thatcham, United Kingdom, 2001 Marzocchi, W., Sandri, L., 2003. A review and new insights on the estimation of the b-value and its uncertainty. Annals of Geophysics, 46, 6, 1271-1282. Lombardi A.M., Marzocchi W., 2007. Evidence of clustering and non-stationarity in the time distribution of large worldwide earthquakes. J. Geophys. Res., 112, B02303, doi:10.1029/2006JB004568. Molchan G.M., 1990. Strategies in strong earthquake prediction. Phys. Earth Plan. Int. 61, 84-98. Mulargia F., Tinti S., 1985. Seismic sample area defined from incomplete catalogues: an application to the Italian territory, Phys. Earth Planet. Inter., 40, 273-300. Nishenko, S.P., 1985. Seismic potential for large and great interplate earth- quakes along the Chilean and Southern Peruvian margins of South America: a quantitative reappraisal. J. Geophys. Res. 90, 3589-3615. Ogata, Y., 1988. Statistical models for earthquake occurrence and residual analysis for point processes, J. Am. Stat. Assoc., 83, 9-27. Ogata, Y., Matsuúra, R.S., Katsura, K, 1993. Fast likelihood computation of the epidemic type aftershock-sequence model, Geophys. Res. Lett., 20, 2143-2146. Ogata, Y., 1998. Space-time point-process models for earthquake occurrence, Ann. Inst. Statis. Math., 50, 379-402. Parsons, T., 2005. Significance of stress transfer in time-dependent earthquake probability calculations. J. Geophys. Res., 110, B05S02, doi:10.1029/2004JB003190. Posadas, A., Hirata, T., Vidal, F., 2002. Information theory to characterize the spatio-temporal patterns of seismicity in the Kanto region. Bull. Seismol. Soc. Am. 92, 600-610. Reasenberg, P., 1985. Second-order moment of central California seismicity, 1969-1982. J. Geophys. Res., 90, 5479-5495. Schorlemmer, D., Gerstenberger, G.C., Wiemer, S., Jackson, D.D., 2007. Earth- quake likelihood model testing. Seismological Research Letters, 78, 1, 17-28. Selva J., Marzocchi, W., 2005. Variations of Southern California seismicity: empirical evidence and possible physical causes. J. Geophys. Res., 110, B11306, doi:10.1029/2004JB003494. Sornette, D., Knopoff, L., 1997. The paradox of the expected time until the next earthquakes. Bull. seism. Soc. Am., 87, 789-798. Stein, R.S., King, G.C.P., Lin, J., 1994. Stress triggering of the 1994 M=6.7 Northridge, California, earthquake by its predecessors. Science, 265, 1432- 1435. Trifu, C.I., Radulian, M., 1991. Frequency-magnitude distribution of earth- quakes in Vrancea: Relevance for a discrete model. J. Geophys. Res., 96(B3), 4301-4311, 10.1029/90JB02221. Vere-Jones, D, 1970. Stochastic models for earthquake occurrence (with dis- cussion). J.R.Stat.Soc., B31, 1-62. Vere-Jones, D, 1978. Earthquake prediction: a statistician’s view. J. Phys. Earth, 26, 129-146. Wells, D.L., Coppersmith, K.J., 1994. New Empirical Relationships among Magnitude, Rupture Length, Rupture Area, and Surface Displacement. Bull. seism. Soc. Am., 84, 974-1002. Working Group on California Earthquake Probabilities, 2003. Earthquake Probabilities in the San Francisco Bay Region (U.S. Geologic Survey, Denver), USGS Open File Report 03-214. Zhuang, J., Ogata, Y. & Vere-Jones D., 2002. Stochastic declustering of space- time earthquake occurrences, J. Am. Stat. Assoc., 97, 369-380.en
dc.description.obiettivoSpecifico3.1. Fisica dei terremotien
dc.description.journalTypeJCR Journalen
dc.description.fulltextreserveden
dc.contributor.authorFaenza, L.en
dc.contributor.authorHainzl, S.en
dc.contributor.authorScherbaum, F.en
dc.contributor.departmentIstituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italiaen
dc.contributor.departmentGeoForschungsZentrum, Telegrafenberg, 14473 Potsdam, Germanyen
dc.contributor.departmentInstitute of Earth Sciences, University of Potsdam, Karl-Liebknecht Str. 24, 14476 Potsdam - Golm, Germanyen
item.openairetypearticle-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.grantfulltextrestricted-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
crisitem.author.deptIstituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italia-
crisitem.author.deptDeutschelGeoForschungsZentrum-
crisitem.author.deptInst. f. Geowissenschaften, Uni Potsdam-
crisitem.author.orcid0000-0002-6135-1141-
crisitem.author.orcid0000-0002-2875-0933-
crisitem.author.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
crisitem.classification.parent05. General-
crisitem.department.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
Appears in Collections:Article published / in press
Files in This Item:
File Description SizeFormat Existing users please Login
faenza_etal_2009_tecto.pdfmain article1.48 MBAdobe PDF
Show simple item record

WEB OF SCIENCETM
Citations

13
checked on Feb 10, 2021

Page view(s)

139
checked on Apr 17, 2024

Download(s)

20
checked on Apr 17, 2024

Google ScholarTM

Check

Altmetric