Earthquake source kinematics of moderate earthquakes from the inversion of apparent source time functions

Geophysical Journal International

Volumn 194, Issue 2, 2013, Pages 1180-1189

  Serra, Eugenio Maria Toraldo ^a   Emolo, Antonio ^a   Orefice, Antonella ^a   Zollo, Aldo ^a  

^a UNIVERSITY OF NAPLES FEDERICO II   (Italy)

Author keywords

Earthquake source observations; Seismicity and tectonics; Theoretical seismology

Indexed keywords

AFTERSHOCK SEQUENCE; DECONVOLUTION METHOD; EARTHQUAKE SOURCE OBSERVATIONS; EMPIRICAL GREEN'S FUNCTIONS; NON LINEAR INVERSION; PARAMETER RESOLUTION; SEISMICITY AND TECTONICS; THEORETICAL SEISMOLOGIES;

GREEN'S FUNCTION; UNCERTAINTY ANALYSIS;

EARTHQUAKES;

AFTERSHOCK; EARTHQUAKE HYPOCENTER; EARTHQUAKE MECHANISM; EARTHQUAKE RUPTURE; FAULT PLANE; FAULT SLIP; FORWARD MODELING; GREEN FUNCTION; KINEMATICS; PARAMETERIZATION; SEISMIC SOURCE; SLIP RATE; TECTONIC SETTING; UNCERTAINTY ANALYSIS;

AQUILA;

EID: 84880274698     PISSN: 0956540X     EISSN: 1365246X     Source Type: Journal    
DOI: 10.1093/gji/ggt157     Document Type: Article

References (30)

1. Akaike, H., 1974. A new look at the statistical model identification, IEEE Trans. Autom. Control, 6, 716-723.
2. Aki, K. & Richards, P.G., 2002. Quantitative Seismology, 2nd edn, University Science Books, Sausalito, CA.
3. Ameri, G., Gallovič, F., Pacor, F. & Emolo, A., 2009. Uncertainties in strong ground-motion prediction with finite-fault synthetic seismograms: an application to the 1984 M 5.7 Gubbio, Central Italy, earthquake, Bull. seism. Soc. Am., 99, 647-663.
4. Beroza, G.C. & Spudich, P., 1988. Linearized inversion for fault rupture behavior: application to the 1984 Morgan Hill, California, earthquake, J. geophys. Res., 93, 6275-6296.
5. Bertero, M., Bindi, D., Boccacci, P., Cattaneo, M., Eva, C. & Lanza, V., 1997. Application of the projected Landweber method to the estimation of the source time function in seismology, Inverse Probl., 13, 465-486.
6. Boschetti, F., Dentith, M.C. & List, R.D., 1996. Inversion of seismic refraction data using genetic algorithms, Geophysics, 61, 1715-1727.
7. Cavanaugh, J.E., 1997. Unifying the derivation for the Akaike and corrected Akaike Information Criteria, Stat. Probab. Lett., 33, 201-208.
8. Charbonneau, P., 1995. Genetic algorithms in astronomy and astrophysics, Astrophys. J., 101, 309-334.
9. Chiarabba, C. et al., 2009. The 2009 L'Aquila (central Italy) Mw 6.3 earthquake: main shock and aftershocks, Geophys. Res. Lett., 36, L18308, doi:10.1029/2009GL039627.
10. Cirella, A., Piatanesi, A., Cocco, M., Tinti, E., Scognamiglio, L., Michelini, A., Lomax, A. & Boschi, E., 2009. Rupture history of the 2009 L'Aquila (Italy) earthquake from non-linear joint inversion of strong motion and GPS data, Geophys. Res. Lett., 36, L19304, doi:10.1029/2009GL039795.
11. Delouis, B., Lundgren, P., Salichon, J. & Giardini, D., 2000. Joint inversion of InSAR and teleseismic data for the slip history of the 1999 Izmit (Turkey) earthquake, Geophys. Res. Lett., 27, 3389-3392.
12. Emolo, A., 2001. Modelli di frattura dei terremoti crostali di media e forte magnitudo dall'inversione non lineare di registrazioni a corto-periodo, PhD thesis, Universita' "Federico II" di Napoli, Italy.
13. Emolo, A. & Zollo, A., 2005. Kinematic source parameters for the 1989 Loma Prieta earthquake from the nonlinear inversion of accelerograms, Bull. seism. Soc. Am., 95, 981-994.
14. Emolo, A., Cultrera, G., Franceschina, G., Pacor, F., Convertito, V., Cocco, M. & Zollo, A., 2008. Ground motion scenarios for the 1997 Colfiorito, central Italy, earthquake, Ann. Geophys., 51, 509-525.
15. Goldberg, D.E., 1989. Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, New York.
16. Hartzell, S.H., 1978. Earthquake aftershocks as Green's function, Geophys. Res. Lett., 5, 1-4.
17. Hartzell, S. & Liu, P., 1995. Determination of earthquake source parameters using a hybrid global search algorithm, Bull. seism. Soc. Am., 85, 516-524.
18. Jin, S. & Beydoun, W., 2000. 2D multi-scale non-linear velocity inversion, Geophys. Prospect., 48, 163-180.
19. Liu, P.,Custodio, S.&Archuleta, R.J., 2006. Kinematic inversion of the 2004 M 6.0 Parkfield earthquake including an approximation to site effects, Bull. seism. Soc. Am., 96, 143-158.
20. Lomax, A., Virieux, J., Volant, P. & Berge, C., 2000. Probabilistic earthquake location in 3D and layered models: introduction of a Metropolis- Gibbs method and comparison with linear locations, in Advances in Seismic Event Location, pp. 101-134, eds Thurber, C.H. & Rabinowitz, N., Kluwer Academic Publishers, Amsterdam.
21. Lucca, E., Festa, G. & Emolo, A., 2012. Kinematic conversion of strong motion data using a Gaussian parameterization for the slip: application to the 2008 Iwate-Miyagi, Japan, earthquake, Bull. seism. Soc. Am., 102, 2685-2703.
22. Lutter, W.J., Nowack, R.L. & Braile, L.W., 1990. Seismic imaging of upper crustal structure using travel times from the PASSCAL Ouachita experiment, J. geophys. Res., 95, 4621-4631.
23. Maercklin, N., Zollo, A., Orefice, A., Festa, G. & Emolo, A., 2011. The effectiveness of a distant accelerometer array to compute seismic source parameters: the April 2009 L'Aquila earthquake case history, Bull. seism. Soc. Am., 101, 354-365.
24. Orefice, A. & Zollo, A., 2010. European Seismological Commission Abstracts, ES5/P31/ID134, 32nd ESC GA, Montpellier, France.
25. Piatanesi, A., Cirella, A., Spudich, P. & Cocco, M., 2007. A global search inversion for earthquake kinematic rupture history: application to the 2000 western Tottori, Japan earthquake, J. geophys. Res., 112, B07314, doi:10.1029/2006JB004821.
26. Podvin, P. &Lecomte, I., 1991. Finite difference computation of travel times in very contrasted velocity models: a massively parallel approach and its associated tools, Geophys. J. Int., 105, 793-804.
27. Reasemberg, P. & Oppenheimer, D., 1985. FPFIT, FPPLOT and FPPAGE: Fortran computer programs for calculating and displaying earthquake fault-plane solutions. US Geol. Surv., Open-File Rep. 85-739, 109 pp.
28. Sambridge, M. & Drijkoningen, G., 1992. Genetic algorithms in seismic waveform inversion, Geophys. J. Int., 109, 323-342.
29. Vallée, M., 2004. Stabilizing the empirical Green function analysis: development of the projected landweber method, Bull. seism. Soc. Am., 94, 394-409.
30. Wessel, P.&Smith, W.H.F., 1998. New, improved version of generic mapping tools released, EOS Trans. AGU, 79, 579.