Forecasting Rupture Dimension Using the Pattern Informatics Technique

Kristy F. Tiampo, John B. Rundle, & William Klein

Published October 2006, SCEC Contribution #916

The Pattern Informatics (PI) technique [Tiampo, K.F., Rundle, J.B., McGinnis, S., Gross, S., Klein, W., 2002. Mean-field threshold systems and phase dynamics: An application to earthquake fault systems, Europhys. Lett., 60, 481–487] is founded on the premise that changes in the seismicity rate are a proxy for changes in the underlying stress. 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 use a modification of the PI method to quantify localized changes surrounding the epicenters of large earthquakes in California in an attempt to objectively quantify the rupture zones of these upcoming events. We show that this method can be used to forecast the size and magnitude of future earthquakes.

Key Words
United States, systems, patterns, geologic hazards, stress, data processing, prediction, techniques, strike-slip faults, California, rupture, Southern California, seismicity, great earthquakes, San Andreas Fault, earthquake prediction, mathematical methods, pattern informatics, earthquakes, faults

Tiampo, K. F., Rundle, J. B., & Klein, W. (2006). Forecasting Rupture Dimension Using the Pattern Informatics Technique. Tectonophysics, 424(3-4), 367-376. doi: 10.1016/j.tecto.2006.03.047.