pure and applied geophysics

, Volume 155, Issue 2, pp 233–258

Is Earthquake Seismology a Hard, Quantitative Science?

  • Y. Y. Kagan
Article

DOI: 10.1007/s000240050264

Cite this article as:
Kagan, Y. Pure appl. geophys. (1999) 155: 233. doi:10.1007/s000240050264

Abstract

—Our purpose is to analyze the causes of recent failures in earthquake forecasting, as well as the difficulties in earthquake investigation. We then propose that more rigorous methods are necessary in earthquake seismology research. First, we discuss the failures of direct earthquake forecasts and the poor quantitative predictive power of theoretical and computer simulation methods in explaining earthquakes. These failures are due to the immense complexity of earthquake rupture phenomena and lack of rigor in the empirical analysis of seismicity. Given such conditions, neither "holistic," interdisciplinary analysis of geophysical data nor greater reliance on the currently available results of earthquake physics is likely to work without revising scientific methodology. We need to develop more rigorous procedures for testing proposed patterns of earthquake occurrence and comparing them to predictions of theoretical and computer modeling. These procedures should use methods designed in physics and other sciences to formulate hypotheses and carry out objective validation. Since earth sciences study a unique object, new methods should be designed to obtain reliable and reproducible results. It is likely that the application of sophisticated statistical methods will be needed.

Key words: Crisis in earthquake seismology, earthquake occurrence, statistical methods, hypotheses testing, fractals, earthquake source models.

Copyright information

© Birkhäuser Verlag Basel 1999

Authors and Affiliations

  • Y. Y. Kagan
    • 1
  1. 1.Institute of Geophysics and Planetary Physics, University of California, Los Angeles, CA 90095-1567, U.S.A. E-mail: ykagan@ucla.edu; WEB: http://scec.ess.ucla.edu/ykagan.htmlUS