Statistical analysis of the Central-Europe seismicity

Tectonophysics

Volumn 470, Issue 3-4, 2009, Pages 195-204

  Faenza, Licia ^a   Hainzl, Sebastian ^b   Scherbaum, Frank ^a  

^a UNIVERSITY OF POTSDAM   (Germany)

^b GFZ GERMAN RESEARCH CENTRE FOR GEOSCIENCES   (Germany)

Author keywords

Central Europe; Cluster; Earthquake distribution; Earthquake forecast; Spatio temporal statistical analysis

Indexed keywords

CENTRAL EUROPE; CLUSTER; CLUSTER PROPERTIES; EARTHQUAKE FORECAST; EARTHQUAKE GENERATION MECHANISMS; EPIDEMIC-TYPE AFTERSHOCK SEQUENCES; HAZARD FUNCTIONS; NON-PARAMETRIC; PROBABILITY OF OCCURRENCES; PROPORTIONAL HAZARD MODELS; SHORT TERMS; SPATIO-TEMPORAL DISTRIBUTIONS; SPATIO-TEMPORAL STATISTICAL ANALYSIS; STATISTICAL APPROACHES; SYNTHETIC CATALOGS; TEMPORAL CLUSTERING; TIME BEHAVIORS;

EARTHQUAKES; PROBABILITY DENSITY FUNCTION;

STATISTICAL METHODS;

AFTERSHOCK; CLUSTER ANALYSIS; EARTHQUAKE CATALOGUE; EARTHQUAKE MAGNITUDE; EARTHQUAKE PREDICTION; HAZARD ASSESSMENT; PROBABILITY; SEISMICITY; SPATIAL DISTRIBUTION; STATISTICAL ANALYSIS; TEMPORAL DISTRIBUTION;

CENTRAL EUROPE; EURASIA; EUROPE;

EID: 67349248067     PISSN: 00401951     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tecto.2008.04.030     Document Type: Article

References (41)

1. Cinti F.R., Faenza L., Marzocchi W., and Montone P. Probability map of the next M ≥ 5.5 earthquakes in Italy. Geochem. Geophys. Geosyst. 5 (2004) Q11003 10.1029/2004GC000724
2. Console R., Murru M., and Lombardi A.M. Refining earthquake clustering models. J. Geophys. Res. 108 B10 (2003) 2468 10.1029/2002JB002130
3. Cox D.R. Regression models and life tables (with discussion). J. R. Stat. Soc. B. 34 (1972) 187-220
4. Enescu B., Ito K., Radulian M., Popescu E., and Bazacliu O. Multifractal and chaotic analysis of Vrancea (Romania) intermediate-depth earthquakes: investigation of the temporal distribution of events. Pure Appl. Geophys. 162 (2005) 249-271
5. Ellsworth W.L., Matthews M.V., Nadeau R.M., Nishenko S.P., Reasenberg P.A., and Simpson R.W. A physically-based earthquake recurrence model for estimation of long-term earthquake probabilities. Proceedings of the second point meeting of the UJNR panel on earthquake research. Geographical Survey Institute (1998) 135-149
6. Faenza, L., 2005. Analysis of the spatio-temporal distribution of large earth- quakes, Ph.D. Thesis, Universita` degli Studi di Bologna, Alma Mater Studiorum, Bologna, Italy. Published on Earth Print: http://hdl.handle.net/2122/3160.
7. Faenza L., Marzocchi W., and Boschi E. 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 (2003) 521-531
8. Faenza L., Marzocchi W., Lombardi A.M., and Console R. Some insights into the time clustering of large earthquakes in Italy. Ann. Geophys. 47 5 (2004) 1635-1640
9. Faenza L., Marzocchi W., Serretti P., and Boschi E. On the spatio- temporal distribution of M 70.+ worldwide seismicity. Tectonophysics 449 (2008) 97-104
10. Felzer K.R., Becker T.W., Abercrombie R.E., Ekström G., and Rice J. 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 (2002) 2190 10.1029/2001JB000911
11. Frankel A. Mapping seismic hazard in the central and eastern United States. Seismol. Res. Lett. 66 (1995) 8-21
12. Gibbons J.D. Non-parametric Statistical Inference (1971), McGraw- Hill, New York 306 pp.
13. Grünthal G., and Wahlström R. An Mw based earthquake catalogue for central, northern and northwestern Europe using a hierarchy of magnitude conversions. J. Seismol, 7 (2003) 507-531
14. Hainzl S., Beauval C., and Scherbaum F. Estimating background activity based on inter-event-time distribution. Bull. Seismol. Soc. Am. 96 (2006) 313-320
15. Kagan Y.Y. Likelihood analysis of earthquake catalogues. Geophys. J. Int. 106 (1991) 135-148
16. Kagan Y.Y., and Jackson D.D. Long-term earthquake clustering. Geophys. J. Int. 104 (1991) 117-133
17. Kagan Y.Y., and Jackson D.D. Probabilistic forecasting of earthquakes. Geophys. J. Int. 143 (2000) 438-453
18. Kalbfleisch J.D., and Prentice R.L. The Statistical Analysis of Failure Time Data (1980), John Wiley, New York
19. Kossobokov V.G. Testing earthquake prediction methods: the West Pacific short-term forecast of earthquakes with magnitude MwHRV ≥ 5.8. Tectonophysics 413 (2006) 25-31
20. International Seismological Center, On-line Bulletin, http://www.isc.ac.uk, Internatl. Seis. Cent., Thatcham, United Kingdom, 2001.
21. Marzocchi W., and Sandri L. A review and new insights on the estimation of the b-value and its uncertainty. Ann. Geophys. 46 6 (2003) 1271-1282
22. Lombardi A.M., and Marzocchi W. Evidence of clustering and non-stationarity in the time distribution of large worldwide earthquakes. J. Geophys. Res. 112 (2007) B02303 10.1029/2006JB004568
23. Molchan G.M. Strategies in strong earthquake prediction. Phys. Earth Planet. Inter. 61 (1990) 84-98
24. Mulargia F., and Tinti S. Seismic sample area defined from incomplete catalogues: an application to the Italian territory. Phys. Earth Planet. Inter. 40 (1985) 273-300
25. Nishenko S.P. Seismic potential for large and great interplate earthquakes along the Chilean and Southern Peruvian margins of South America: a quantitative reappraisal. J. Geophys. Res. 90 (1985) 3589-3615
26. Ogata Y. Statistical models for earthquake occurrence and residual analysis for point processes. J. Am. Stat. Assoc. 83 (1988) 9-27
27. Ogata Y. Space-time point-process models for earthquake occurrence. Ann. Inst. Statis. Math. 50 (1998) 379-402
28. Ogata Y., Matsuúra R.S., and Katsura K. Fast likelihood computation of the epidemic type aftershock-sequence model. Geophys. Res. Lett. 20 (1993) 2143-2146
29. Parsons T. Significance of stress transfer in time-dependent earthquake probability calculations. J. Geophys. Res. 110 (2005) B05S02 10.1029/2004JB003190
30. Posadas A., Hirata T., and Vidal F. Information theory to characterize the spatio-temporal patterns of seismicity in the Kanto region. Bull. Seismol. Soc. Am. 92 (2002) 600-610
31. Reasenberg P. Second-order moment of central California seismicity, 1969-1982. J. Geophys. Res. 90 (1985) 5479-5495
32. Schorlemmer D., Gerstenberger G.C., Wiemer S., and Jackson D.D. Earthquake likelihood model testing. Seismol. Res. Lett. 78 1 (2007) 17-28
33. Selva J., and Marzocchi W. Variations of Southern California seismicity: empirical evidence and possible physical causes. J. Geophys. Res. 110 (2005) B11306 10.1029/2004JB003494
34. Sornette D., and Knopoff L. The paradox of the expected time until the next earthquakes. Bull. seism. Soc. Am. 87 (1997) 789-798
35. Stein R.S., King G.C.P., and Lin J. Stress triggering of the 1994 M = 6.7 Northridge, California, earthquake by its predecessors. Science 265 (1994) 1432-1435
36. Trifu C.I., and Radulian M. Frequency-magnitude distribution of earthquakes in Vrancea: Relevance for a discrete model. J. Geophys. Res. 96 B3 (1991) 4301-4311 10.1029/90JB02221
37. Vere-Jones D. Stochastic models for earthquake occurrence (with discussion). J. R. Stat. Soc. B31 (1970) 1-62
38. Vere-Jones D. Earthquake prediction: a statistician's view. J. Phys. Earth 26 (1978) 129-146
39. Wells D.L., and Coppersmith K.J. New empirical relationships among magnitude, rupture length, rupture area, and surface displacement. Bull. Seismol. Soc. Am. 84 (1994) 974-1002
40. 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.
41. Zhuang J., Ogata Y., and Vere-Jones D. Stochastic declustering of space-time earthquake occurrences. J. Am. Stat. Assoc. 97 (2002) 369-380