Skip to main content

Stress Reorientation and LURR: Implication for Earthquake Prediction Using LURR

  • Conference paper
Computational Earthquake Physics: Simulations, Analysis and Infrastructure, Part II

Part of the book series: Pageoph Topical Volumes ((PTV))

  • 411 Accesses

Abstract

After reviewing the problems associated with the current implementation of the LURR theory, we suggest that taking account of stress field complexity and stress reorientation may resolve these problems. By introducing the concept of Maximum Faulting Orientation (MFO), we propose a new approach for calculating LURR. Results presented for the case of the Northridge earthquake provide encouragement for the stress-reorientation explanation and the new approach.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Agnew, D.C. (1996), SPOTL: Some programs for ocean-tide loading, SIO Ref. Ser. 96–8, 35 pp., Scripps Inst. of Oceanogr., La Jolla, Calif., 1996.

    Google Scholar 

  • Bowman, D.D., Ouillon, G., Sammis, C.G., Sornette, A., and Sornette, D. (1998), An observational test of the critical earthquake hypothesis, J. Geophys. Res. 103, 24, 359–24, 372.

    Google Scholar 

  • Hardebeck, J.L. and Hauksson, E. (1999), Role of fluids in faulting inferred from stress field signatures, Science 285, 236–239.

    Article  Google Scholar 

  • JaumĂ©e, S.C. and Sykes, L.R. (1999), 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.

    Article  Google Scholar 

  • Melchior, P., The Tides of the Planet Earth (Pergamon Press 1978).

    Google Scholar 

  • NASA website, http://spacekids.hq.nasa.gov/osskids/animate/moon.html.

  • Sornette, A. and Sornette, D. (1990), Earthquake rupture as a critical point: Consequences for telluric precursors Tectonophysics 179, 327–334.

    Article  Google Scholar 

  • Sornette, D. and Sammis, C.G. (1995), Complex critical exponents from renormalization group theory of earthquakes: Implications for earthquake predictions, J. Phys. I France 5, 607–619.

    Article  Google Scholar 

  • Wang, Y.C., Mora, P., Yin, C., and Place, D. (2003), Statistical test of the Load-Unload Response Ratio (LURR) signals using the Lattice Solid Model (LSM): Implication to tidal triggering and earthquake prediction, Pure Appl. Geophys. 161, 1829–1839.

    Google Scholar 

  • Xia, M.F. Wei, Y.J., Ke, F.J., and Bai, Y.L. (2002), Critical sensitivity and trans-scale fluctuations in catastrophe rupture, Pure Appl. Geophys. 159 (10), 2491–2509.

    Article  Google Scholar 

  • Yin, X.C. and Yin, C. (1991), The precursor of instability for nonlinear systems and its application to earthquake prediction, Science in China 34, 977–986.

    Google Scholar 

  • Yin, X.C. Wang, Y.C., Peng, K.Y., and Bai, Y.L. (2000), Development of a new approach to earthquake prediction: Load/Unload Response Ratio (LURR) Theory, Pure Appl. Geophys. 157, 2365–2383.

    Article  Google Scholar 

  • Yin, X.C., Yu, H., Kukshenko, V., Peng, K., and Xu, Z. (2004), Load-Unload Response ratio (LURR), Accelerating Energy release (AER) and State Vector evolution as precursors to failure of rock specimens, Pure Appl. Geophys. 161, 11/12.

    Google Scholar 

  • Yin, X.C. Chen, X.Z., Song, Z.P., and Yin, C. (1995), A new approach to earthquake prediction: The Load/Unload Response Ratio (LURR) theory, Pure Appl. Geophys. 145, 701–715.

    Article  Google Scholar 

  • Zhang, X.H., Xu, X.H., Xia, M.F., and Bai, Y.L. (2004), Critical sensitivity in driven nonlinear threshold systems, Pure Appl. Geophys. 161, 11/12.

    Google Scholar 

  • Zhao, D. and Kanamori, H. (1998), The 1994 Northridge earthquake: Tomography of the source area and temporal stress rotation, 1998 Fall Meeting of the Seismological Society of Japan, October 26–28, 1998, Fukui, Japan, Programme and Abstracts, B38.

    Google Scholar 

  • Zhuang, J.C. and Yin, X.C. (2000), Random distributions of the loading and unloading response ratio under the assumptions of the Poisson model, Earthquake Research in China 14, 37–48.

    Google Scholar 

  • Zoback, M.L. (1992), First-and Second-Order Patterns of Stress in the Lithosphere: The World Stress Map Project, J. Geophys. Res.-Solid Earth 97, 11703–11728.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Birkhäuser Verlag

About this paper

Cite this paper

Yin, C., Mora, P. (2006). Stress Reorientation and LURR: Implication for Earthquake Prediction Using LURR. 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_8

Download citation

Publish with us

Policies and ethics