dorsal/arxiv
View SchemaPower law distribution of seismic rates: theory and data
| Authors | A. Saichev, D. Sornette |
|---|---|
| Categories | |
| ArXiv ID | physics/0412043 |
| URL | https://arxiv.org/abs/physics/0412043 |
| Journal | Eur. J. Phys. B 49, 377\^A?"401 (2006) |
Abstract
We report an empirical determination of the probability density functions P(r) of the number r of earthquakes in finite space-time windows for the California catalog, over fixed spatial boxes 5 x 5 km^2 and time intervals dt =1, 10, 100 and 1000 days. We find a stable power law tail P(r) ~ 1/r^{1+mu} with exponent mu \approx 1.6 for all time intervals. These observations are explained by a simple stochastic branching process previously studied by many authors, the ETAS (epidemic-type aftershock sequence) model which assumes that each earthquake can trigger other earthquakes (``aftershocks''). An aftershock sequence results in this model from the cascade of aftershocks of each past earthquake. We develop the full theory in terms of generating functions for describing the space-time organization of earthquake sequences and develop several approximations to solve the equations. The calibration of the theory to the empirical observations shows that it is essential to augment the ETAS model by taking account of the pre-existing frozen heterogeneity of spontaneous earthquake sources. This seems natural in view of the complex multi-scale nature of fault networks, on which earthquakes nucleate. Our extended theory is able to account for the empirical observation satisfactorily. In particular, the adjustable parameters are determined by fitting the largest time window $dt=1000$ days and are then used as frozen in the formulas for other time scales, with very good agreement with the empirical data.
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"abstract": "We report an empirical determination of the probability density functions\nP(r) of the number r of earthquakes in finite space-time windows for the\nCalifornia catalog, over fixed spatial boxes 5 x 5 km^2 and time intervals dt\n=1, 10, 100 and 1000 days. We find a stable power law tail P(r) ~ 1/r^{1+mu}\nwith exponent mu \\approx 1.6 for all time intervals. These observations are\nexplained by a simple stochastic branching process previously studied by many\nauthors, the ETAS (epidemic-type aftershock sequence) model which assumes that\neach earthquake can trigger other earthquakes (``aftershocks\u0027\u0027). An aftershock\nsequence results in this model from the cascade of aftershocks of each past\nearthquake. We develop the full theory in terms of generating functions for\ndescribing the space-time organization of earthquake sequences and develop\nseveral approximations to solve the equations. The calibration of the theory to\nthe empirical observations shows that it is essential to augment the ETAS model\nby taking account of the pre-existing frozen heterogeneity of spontaneous\nearthquake sources. This seems natural in view of the complex multi-scale\nnature of fault networks, on which earthquakes nucleate. Our extended theory is\nable to account for the empirical observation satisfactorily. In particular,\nthe adjustable parameters are determined by fitting the largest time window\n$dt=1000$ days and are then used as frozen in the formulas for other time\nscales, with very good agreement with the empirical data.",
"arxiv_id": "physics/0412043",
"authors": [
"A. Saichev",
"D. Sornette"
],
"categories": [
"physics.geo-ph",
"physics.data-an"
],
"journal_ref": "Eur. J. Phys. B 49, 377\\^A?\"401 (2006)",
"title": "Power law distribution of seismic rates: theory and data",
"url": "https://arxiv.org/abs/physics/0412043"
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