Abstract
The Pattern Informatics (PI) technique (Tiampo et al., 2002) is founded on the premise that changes in the seismicity rate are a proxy for changes in the underlying stress. These stress changes are correlated over large spatial regions, and can be quantified using a phase dynamical analysis of the changes in historic seismicity rates. This new approach to the study of seismicity quantifies its local and regional space-time patterns and identifies regions of local quiescence or activation. Here we study those local changes in an attempt to objectively quantify short-term stress shadow regions. We determine that, while persistent stress shadows are detectable with this method, they do not occur uniformly throughout the spatio-temporal region.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Deng, J. and Sykes, L.R. (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.
Dieterich, J. (1994), A constitutive law for rate of earthquake production and its application to earthquake clustering, J. Geophys. Res. 99, 2601–2618.
Dieterich, J.H., Cayol, V., and Okubo, P. (2002), The use of earthquake rate changes as a stress meter at Kilauea volcano, Nature 408, 457–460.
Felzer, K., Brodsky, E., and Abercrombie, R. (2004), The absence of stress shadows, Spring Meeting, Seismol. Soc. of America.
Hardebeck, J. L., Nazareth, J. J., and Hauksson, E. (1998), The static stress change triggering model: Constraints from two Southern California aftershock sequences, J. Geophys. Res. 103, 24,427–24,438.
Hardebeck, J.L. (2004), Stress triggering and earthquake probability estimates, J. Geophys. Res. 109, 2354, doi: 10.1029/2003JB002437.
Harris, R. A. and Simpson, R.W. (1992), Changes in static stress on Southern California faults after the 1992 Landers earthquake, Nature 360, 251–254.
Harris, R. A. and Simpson, R.W. (1998), Suppression of large earthquakes by stress shadows: A comparison of Coulomb and rate-and-state failure, J. Geophys. Res. 103, 24,439–24,451.
Hauksson, E. (1994), State of stress from focal mechanisms before and after the 1992 Landers earthquake sequence, Bull. Seismol. Soc. Am. 84, 917–934.
Jaumé, S.C. and Sykes, L.R. (1992), Evolving towards a critical point: A review of accelerating seismic moment/energy release prior to large and great earthquakes, Pure Appl. Geophys. 155, 279–306.
Jones, L.M. and Hauksson, E. (1997), The seismic cycle in Southern California: Precursor or response? Geophys. Res. Lett. 24, 469–472.
King, G.C.P. and Bowman, D.D. (2003), The evolution of regional seismicity between large earthquakes, J. Geophys. Res. 108, doi: 10.1029/2001JB000783.
Marsan, D. and Bean, C.J. (2003), Seismicity response to stress perturbations, analysed for a world-wide catalogue, Geophys. J. Int. 158, 179–195.
Mori, H. and Kuramoto, Y., Dissipative Structures and Chaos (Springer-Verlag, Berlin 1998).
Parsons, T., Toda, S., and Stein, R.S. (2000), Heightened odds of large earthquakes near Istanbul: An interaction-based probability calculation, Science 288, 661–665.
Rundle, J.B., Klein, W., Tiampo, K.F., and Gross, S. (2000), Linear pattern dynamics of nonlinear threshold systems, Phys. Rev. E 61, 2418–2432.
Stein, R.S. (1999), The role of stress transfer in earthquake occurrence, Nature 402, 605–609.
Stein, R.S., Barka, A.A., and Dieterich, J.H. (1997), Progressive failure on the North Anatolian fault since 1939 by earthquake stress triggering, Geophys. J. Int. 128, 594–604.
Stein, R.S., King, G.C.P., and Lin, J. (1992), Change in failure stress on the southern San Andreas fault system caused by the magnitude=7.4 Landers earthquake, Science 258, 1328–1332.
Tiampo, K.F., Rundle, J.B., McGinnis, S., Gross, S., and Klein, W. (2002), Mean-field threshold systems and phase dynamics: An application to earthquake fault systems, Europhys. Lett. 60, 481–487.
Toda, S., Stein, R.S., and Sagiya, T. (2002), Evidence from the AD 2000 Izu Islands earthquake swarm that stressing rate governs seismicity, Nature 419, 58–61.
Wiemer, S. (2000), Introducing probabilistic aftershock hazard map**, Geophys. Res. Lett. 27, 3405–3408.
Wiemer, S., Gerstenberger, M., and Hauksson, E. (2002), Properties of the aftershock sequence of the 1999 M w 7.1 Hector Mine earthquake: Implications for aftershock hazard, Bull. Seismol. Soc. Am. 92, 1227–1240.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Birkhäuser Verlag
About this paper
Cite this paper
Tiampo, K., Rundle, J., Klein, W. (2006). Stress Shadows Determined from a Phase Dynamical Measure of Historic Seismicity. In: Yin, Xc., Mora, P., Donnellan, A., Matsu’ura, M. (eds) Computational Earthquake Physics: Simulations, Analysis and Infrastructure, Part II. Pageoph Topical Volumes. Birkhäuser Basel. https://doi.org/10.1007/978-3-7643-8131-8_11
Download citation
DOI: https://doi.org/10.1007/978-3-7643-8131-8_11
Received:
Revised:
Accepted:
Published:
Publisher Name: Birkhäuser Basel
Print ISBN: 978-3-7643-8130-1
Online ISBN: 978-3-7643-8131-8
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)