Earthquake prediction analysis based on empirical seismic rate: The M8 algorithm

Geophysical Journal International

Volumn 183, Issue 3, 2010, Pages 1525-1537

  Molchan, G ^a,b   Romashkova, L ^a,b  

^a INSTITUTE OF EARTHQUAKE PREDICTION THEORY AND MATHEMATICAL GEOPHYSICS   (Russian Federation)

^b ABDUS SALAM INTERNATIONAL CENTRE FOR THEORETICAL PHYSICS   (Italy)

Author keywords

Earthquake interaction, forecasting, and prediction; Seismicity and tectonics; Statistical seismology

Indexed keywords

EARTHQUAKE PREDICTION; PREDICTION ALGORITHMS; PREDICTION CAPABILITY; RANDOM STRATEGY; SEISMICITY AND TECTONICS; STATISTICAL SEISMOLOGY; STATISTICAL SIGNIFICANCE;

ALGORITHMS; EARTHQUAKES; ESTIMATION; TECTONICS; UNCERTAINTY ANALYSIS;

FORECASTING;

ALGORITHM; EARTHQUAKE MAGNITUDE; EARTHQUAKE PREDICTION; EMPIRICAL ANALYSIS; SEISMICITY; SEISMOLOGY; TECTONICS;

EID: 78449232131     PISSN: 0956540X     EISSN: 1365246X     Source Type: Journal    
DOI: 10.1111/j.1365-246X.2010.04810.x     Document Type: Article

References (29)

1. Ekstrom, G., Dziewonski, A.M., Maternovskaya, N.N. & Nettles, M., 2005. Global seismicity of 2003: centroid-moment tensor solutions for 1087 earthquakes, Phys. Earth planet. Inter., 148, 327-351.
2. Geller, R.J., Jackson, D., Kagan, Y.Y. & Mulargia, F., 1997. Earthquakes cannot be predicted, Science, 275, 1616-1617.
3. GHDB, 1989. Global Hypocenters Data Base CD-ROM NEIC/USGS, Denver, CO, 1989 and its updates through December 2004.
4. Helmstetter, A. & Sornette, D., 2003. Predictability in the ETAS model of interacting triggered seismicity, J. geophys. Res., 108(B10), 2482-2500.
5. Holliday, J.R., Nanjo, K.F., Rundle, J.B. & Turcotte, D.L., 2005. Earthquake forecasting and its verification, Nonlin. Process. Geophys., 12, 965-977.
6. Jordan, T.H., 2006. Earthquake predictability, brick by brick, Seismol. Res. Lett., 77(1), 3-6.
7. Kagan, Y.Y., 1999. Universality of the seismic moment-frequency relation, Pure appl. Geophys., 155, 537-573.
8. Kagan, Y.Y., 2003. Accuracy of modern global catalogs. Phys. Earth planet. Inter., 135, 173-209.
9. Kagan, Y.Y., 2009a. Testing long-term earthquake forecasts: likelihood methods and error diagrams, Geophys. J. Int., 177(2), 532-542.
10. Kagan, Y.Y., 2009b. Earthquake size distribution: power-law with exponent b = 1/2?, Tectonophysics, 490(1-2), 103-114.
11. Keilis-Borok, V.I. & Kossobokov, V.G., 1990. Premonitory activation of earthquake flow: algorithm M8, Phys. Earth planet. Inter., 61, 73-83.
12. Kossobokov, V.G., 2005. Earthquake prediction: principles, implementation, perspectives, in Earthquake Prediction and Geodynamical Processes, Computational Seismology, Vol. 36, pp. 3-175, ed. Keilis-Borok, V.I., GEOS, Moscow (in Russian).
13. Kossobokov, V.G., 2006. Quantitative earthquake prediction on global and regional scales, in Recent Geodynamics, Georisk and Sustainable Development in the Black Sea to Caspian Sea Region, Vol. 825, pp. 32-50, ed. Ismail-Zadeh, A., American Institute of Physics Conference Proceedings, Melville, New York
14. Kossobokov, V.G., Romashkova, L.L., Keilis-Borok, V.I. & Healy, J.H., 1999. Testing earthquake prediction algorithms: Statistically significant real-time prediction of the largest earthquakes in the Circum-Pacific, 1992-1997, Phys. Earth planet. Inter., 111(3-4), 187-196.
15. Kossobokov, V.G. & Shebalin, P.N., 2003. Earthquake prediction, in: Nonlinear Dynamics of the Lithosphere and Earthquake Prediction, pp. 141-207, eds Keilis-Borok, V. I. & Soloviev, A.A., Springer Publishers, Heidelberg
16. Marzocchi, W., 2008. Earthquake forecasting in Italy, before and after the Umbria-Marche seismic sequence 1997. A review of earthquake occurrence modeling at different spatio-temporal-magnitude scales, Ann. Geophys., 52(2-3), 405-416.
17. Marzocchi, W., Sandri, L. & Boschi, E., 2003. On the Validation of Earthquake-forecasting Models: the Case of Pattern Recognition Algorithms, Bull. seism. Soc. Am., 93(5), 1994-2004.
18. Minster, J.B. & Williams, N., 1998. Systematic global testing of intermediate-term earthquake prediction algorithms, in Proceedings of the 1st ACES Workshop,
19. Molchan, G.M., 2003. Earthquake prediction strategies-a theoretical analysis, in: Nonlinear Dynamics of the Lithosphere and Earthquake Prediction, pp. 209-237, eds Keilis-Borok, V.I. & Soloviev, A.A., Springer Publishers, Heidelberg
20. Molchan, G.M., 2010. Space-time earthquake prediction: the error diagrams, Pure appl. Geophys., 167(8-9), doi:.
21. Molchan, G.M. & Keilis-Borok, V.I., 2008. Earthquake prediction: probabilistic aspect, Geophys.J. Int., 173, 1012-1017.
22. Molchan, G.M., Kronrod, T. & Panza, G.F., 1997. Multiscale seismicity model for seismic risk, Bull. seism. Soc. Am., 87, 1220-1229.
23. Pacheco, J.F. & Sykes, L.R., 1992. Seismic moment catalog of large shallow earthquakes, 1990 to 1989, Bull. seism. Soc. Am., 82, 1306-1349.
24. Rao, C.R., 1966. Linear Statistical Inference and its Applications, Wiley & Sons, NY
25. Romanowicz, B., 1993. Spatiotemporal patterns in the energy release of great earthquakes, Science, 260, 1923-1926.
26. Romashkova, L.L., 2009. Global-scale analysis of seismic activity prior to 2004 Sumatra-Andoman mega-earthquake, Tectonophysics, 470, 329-344.
27. Shebalin, P.N., 1992. Automatic duplicate identification in set of earthquake catalogs merged together, U.S. Geol. Surv. Open-File Report 92-401, Appendix II.
28. Zechar, J.D. & Jordan, T.H., 2008. Testing alarm-based earthquake predictions, Geophys. J. Int., 172, 715-724.
29. Zechar, J.D., Schorlemmer, D., Luiks, M., Yu, J., Euchner, F., Maechling, P.J. & Jordan, T.H., 2009. The collaboratory for the study of earthquake predictability perspective on computational earthquake science, Concurr. Comp. Practice and Experience, 22, 1836-1847, doi:.