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fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Publisher: Elsevier
Languages: English
Types: Article
Subjects: QE, GB, GE
The Coulomb failure function (CFF) quantitatively describes static stress changes in secondary faults near the source fault of an earthquake. CFF can be employed to monitor how static stress transfers and then shed some light on the probability of successive events occurring around a source fault. In this paper we focus on the CFF and particularly on optimally oriented planes. We present a unified model to determine an optimally oriented plane and its corresponding Coulomb stress, then apply the model to the 2003 Mw 6.6 Bam (Iran) earthquake and the 2008 Mw 7.9 Wenchuan (China) earthquake, thereby checking its effectiveness. Our results show that spatial correlation between positive Coulomb stress changes and aftershocks are, for the 2003 Bam earthquake, 47.06% when elastic Coulomb stress changes are resolved on uniform planes and 87.53% when these are resolved on optimally oriented planes at depth; for the 2008 Wenchuan earthquake the correlations are 45.68% and 58.20%, respectively. It is recommended that account be taken of optimally oriented planes when drawing a Coulomb stress map for analyzing earthquake triggering effects.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • 1. Biggs, J., T. Wright, Z. Lu, and B. Parsons (2007), Multi-interferogram method for measuring interseismic deformation: Denali Fault, Alaska, Geophys. J. Int., 170, 1165-1179, doi:10.1111/j.1365-246X.2007.03415.x.
    • 2. Bilek, S.L., and C. L. Bertelloni(2005),Stress changes in the Costa Rica subduction zone due to the 1999 Mw 6.9 Quepos earthquake, Earth. Plan. Sci. Lett., 230, 97-112.
    • 3. Burchfiel, B. C., L. H. Royden, and R. D. Van der Hilst et al.(2008), A geological and geophysical context for the Wenchuan earthquake of 12 May 2008, Sichuan, People's Republic of China, Geol. Soc. Am. Today, 18(7), doi:1130/GSATG18A.1.
    • 4. Carli, S. D., C. Voisin, F. Cotton, and F. Semmane (2008), The 2000 western Tottori (Japan) earthquake: Triggering of the largest aftershocks and constraints on the slip-weakening distance, J. Geophys. Res., 113, B05307, doi:10.1029/2007JB004951.
    • 5. Cocco, M., and J. R. Rice(2002), Pore pressure and poroelasticity effects in Coulomb stress analysis of earthquake interactions, J. Geophs. Res., 107(B2), 10.1029/2000JB000138.
    • 6. Console, R., M. Murru, G. Falcone, and F. Catalli (2008), Stress interaction effect on the occurrence probability of characteristic earthquakes in Central Apennines, J. Geophys. Res., 113, B08313, doi:10.1029/2007JB005418.
    • 7. Deng J., and L. R. Sykes(1997), Evolution of the stress field in southern California and triggering of moderate-size earthquakes: A 200-year perspective, J. Geophys. Res., 102:9859~9886.
    • 8. Fialko Y., D. Sandwell, M. Simons, and P. Rosen(2005), Three-dimensional deformation caused by the Bam, Iran, earthquake and the origin of shallow slip deficit, Nature, 435, 295-299, doi:10.1038/nature03425.
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