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Significance of stress transfer in time-dependent earthquake probability calculations

Journal of Geophysical Research., Vol. 110, B05S02, doi:10.1029/2004JB003190, 2005
[Printable article (2 Mb)]

Tom Parsons
U.S. Geological Survey, Menlo Park, CA

 

Summary. We make calculations of earthquake probability based on what we know about past earthquake activity. If, for example, earthquakes were known to strike some fault every 200 years exactly, we could predict the next one to happen exactly 200 years after the last one. Unfortunately, while we do recognize some regularity with earthquake occurrence, they also demonstrate a lot of variability. Thus instead of saying exactly when the next event will occur, we give the odds of it occurring over some given period. We use the long-term record of earthquakes and an estimate of their regularity to calculate those odds.

We also know that if an earthquake happens on one fault, it might advance or delay events on a second, nearby fault. The purpose of this paper is to investigate whether the interaction between earthquakes is important enough to alter our probability calculations in a statistically significant way. It turns out that even when there is a lot of uncertainty, if a very large earthquake happens, we should revise our probability calculations on other, nearby faults to account for the changes in stress caused by the earthquake.


Figure caption. Perturbations of probability on the southern San Andreas fault using the Wrightwood interevent time and aperiodicity pairs from Figure 1 and drawing at random from the distribution of increased stress (greater than the mean increase) shown in Figure 18a. Changes to probability distributions are shown for clock change scales ranging from 10 to 50 for three different calculation methods: (a) the rate state method of Dieterich and Kilgore [1996], (b) the Brownian passage time step model of Matthews et al. [2002], and (c) the time-variable clock change with rate state nucleation method of Hardebeck [2004]