Random stress and Omori's law Yan Y. Kagan Department of Earth and Space Sciences, University of California Los Angeles Abstract We consider two statistical.

Slides:



Advertisements
Similar presentations
The rate of aftershock density decay with distance Karen Felzer 1 and Emily Brodsky 2 1. U.S. Geological Survey 2. University of California, Los Angeles.
Advertisements

Detecting Aseismic Fault Slip and Magmatic Intrusion From Seismicity Data A. L. Llenos 1, J. J. McGuire 2 1 MIT/WHOI Joint Program in Oceanography 2 Woods.
1 – Stress contributions 2 – Probabilistic approach 3 – Deformation transients Small earthquakes contribute as much as large earthquakes do to stress changes.
Earthquake swarms Ge 277, 2012 Thomas Ader. Outline Presentation of swarms Analysis of the 2000 swarm in Vogtland/NW Bohemia: Indications for a successively.
Yan Y. Kagan Dept. Earth and Space Sciences, UCLA, Los Angeles, CA ,
Yan Y. Kagan Dept. Earth and Space Sciences, UCLA, Los Angeles, CA , EARTHQUAKE.
11/10/2001 The IMA Workshop "Complexity in Geophysical Systems" 1 Complexity of inverse and direct cascading of earthquakes Vladimir Kossobokov International.
Yan Y. Kagan Dept. Earth and Space Sciences, UCLA, Los Angeles, CA , EARTHQUAKE PREDICTABILITY.
Yan Y. Kagan Dept. Earth and Space Sciences, UCLA, Los Angeles, CA , Testing.
Simplified algorithms for calculating double-couple rotation Yan Y. Kagan Department of Earth and Space Sciences, University of California Los Angeles.
Earthquake spatial distribution: the correlation dimension (AGU2006 Fall, NG43B-1158) Yan Y. Kagan Department of Earth and Space Sciences, University of.
Yan Y. Kagan, David D. Jackson Dept. Earth and Space Sciences, UCLA, Los Angeles, CA ,
Yan Y. Kagan Dept. Earth and Space Sciences, UCLA, Los Angeles, CA , GLOBAL EARTHQUAKE.
Yan Y. Kagan Dept. Earth and Space Sciences, UCLA, Los Angeles, CA , Statistical.
Final Review Questions: Plate tectonics What are plates? How do we know that they are moving? What are the “4 basic” tenets of plate tectonics? Why are.
Yan Y. Kagan Dept. Earth and Space Sciences, UCLA, Los Angeles, CA , Statistical.
Yan Y. Kagan Dept. Earth and Space Sciences, UCLA, Los Angeles, CA , Full.
Yan Y. Kagan Dept. Earth and Space Sciences, UCLA, Los Angeles, CA , Statistical.
Epidemic Type Earthquake Sequence (ETES) model  Seismicity rate = "background" + "aftershocks":  Magnitude distribution: uniform G.R. law with b=1 (Fig.
Accelerating Moment Release in Modified Stress Release Models of Regional Seismicity Steven C. Jaume´, Department of Geology, College of Charleston, Charleston,
Omori law Students present their assignments The modified Omori law Omori law for foreshocks Aftershocks of aftershocks Physical aspects of temporal clustering.
Earthquake predictability measurement: information score and error diagram Yan Y. Kagan Department of Earth and Space Sciences, University of California.
Yan Y. Kagan, David D. Jackson Dept. Earth and Space Sciences, UCLA, Los Angeles, CA ,
Yan Y. Kagan, David D. Jackson Dept. Earth and Space Sciences, UCLA, Los Angeles, CA ,
Yan Y. Kagan Dept. Earth and Space Sciences, UCLA, Los Angeles, CA , Forecast.
Yan Y. Kagan Dept. Earth and Space Sciences, UCLA, Los Angeles, CA ,
Yan Y. Kagan Dept. Earth and Space Sciences, UCLA, Los Angeles, CA , Global.
Yan Y. Kagan Dept. Earth and Space Sciences, UCLA, Los Angeles, CA , Rules of the Western.
New Earthquake Catalogs For Southern California And Their Use In Earthquake Forecasting Yan Y. Kagan, David D. Jackson and Yufang Rong, University of California,
Yan Y. Kagan Dept. Earth and Space Sciences, UCLA, Los Angeles, CA , Statistical.
Yan Y. Kagan Dept. Earth and Space Sciences, UCLA, Los Angeles, CA , STATISTICAL.
Omori law The modified Omori law Omori law for foreshocks Aftershocks of aftershocks Physical aspects of temporal clustering.
 ss=  * +(a-b) ln(V/V * ) a-b > 0 stable sliding a-b < 0 slip is potentially unstable Correspond to T~300 °C For Quartzo- Feldspathic rocks Stationary.
Statistics of Seismicity and Uncertainties in Earthquake Catalogs Forecasting Based on Data Assimilation Maximilian J. Werner Swiss Seismological Service.
FULL EARTH HIGH-RESOLUTION EARTHQUAKE FORECASTS Yan Y. Kagan and David D. Jackson Department of Earth and Space Sciences, University of California Los.
Yan Y. Kagan Dept. Earth and Space Sciences, UCLA, Los Angeles, CA ,
Using IRIS and other seismic data resources in the classroom John Taber, Incorporated Research Institutions for Seismology.
Yan Y. Kagan Dept. Earth and Space Sciences, UCLA, Los Angeles, CA , Tohoku.
Robust Quantification of Earthquake Clustering: Overcoming the Artifacts of Catalog Errors Ilya Zaliapin Department of Mathematics and Statistics University.
Characteristic earthquake model, 1884 – 2011, R.I.P. Y.Y. Kagan, D.D. Jackson, and R.J. Geller ESS/UCLA and University of Tokyo Abstract Unfortunately,
Random stress and Omori's law Yan Y. Kagan Department of Earth and Space Sciences, University of California Los Angeles Abstract We consider two statistical.
Yan Y. Kagan & David D. Jackson Dept. Earth and Space Sciences, UCLA, Los Angeles, CA ,
Yan Y. Kagan Dept. Earth and Space Sciences, UCLA, Los Angeles, CA ,
TOHOKU EARTHQUAKE: A SURPRISE? Yan Y. Kagan and David D. Jackson Department of Earth and Space Sciences, University of California Los Angeles Abstract.
Yan Y. Kagan Dept. Earth and Space Sciences, UCLA, Los Angeles, CA , Evaluation.
GLOBAL EARTHQUAKE FORECASTS Yan Y. Kagan and David D. Jackson Department of Earth and Space Sciences, University of California Los Angeles Abstract We.
Yan Y. Kagan Dept. Earth and Space Sciences, UCLA, Los Angeles, CA ,
Earthquake size distribution: power-law with exponent ? Yan Y. Kagan Department of Earth and Space Sciences, University of California Los Angeles Abstract.
1 Producing Omori’s law from stochastic stress transfer and release Mark Bebbington, Massey University (joint work with Kostya Borovkov, University of.
Does the Scaling of Strain Energy Release with Event Size Control the Temporal Evolution of Seismicity? Steven C. Jaumé Department of Geology And Environmental.
A proposed triggering/clustering model for the current WGCEP Karen Felzer USGS, Pasadena Seismogram from Peng et al., in press.
California Earthquake Rupture Model Satisfying Accepted Scaling Laws (SCEC 2010, 1-129) David Jackson, Yan Kagan and Qi Wang Department of Earth and Space.
Plate-tectonic analysis of shallow seismicity: Apparent boundary width, beta, corner magnitude, coupled lithosphere thickness, and coupling in 7 tectonic.
Yan Y. Kagan Dept. Earth and Space Sciences, UCLA, Los Angeles, CA , SHORT-TERM PROPERTIES.
Yan Y. Kagan Dept. Earth and Space Sciences, UCLA, Los Angeles, CA , STATISTICAL SEISMOLOGY–
Yan Y. Kagan Dept. Earth and Space Sciences, UCLA, Los Angeles, CA ,
Distinguishing Artifacts of Earthquake Catalogs From Genuine Seismicity Patterns Ilya Zaliapin Department of Mathematics and Statistics University of Nevada,
SHORT- AND LONG-TERM EARTHQUAKE FORECASTS FOR CALIFORNIA AND NEVADA Kagan, Y. Y. and D. D. Jackson Department of Earth and Space Sciences, University of.
Understanding Earth Sixth Edition Chapter 13: EARTHQUAKES © 2011 by W. H. Freeman and Company Grotzinger Jordan.
Jiancang Zhuang Inst. Statist. Math. Detecting spatial variations of earthquake clustering parameters via maximum weighted likelihood.
Abstract The space-time epidemic-type aftershock sequence (ETAS) model is a stochastic process in which seismicity is classified into background and clustering.
BREVIA Time-Variable Deformation in the New Madrid Seismic Zone Eric Calais 1 and Seth Stein 2 velocities relative to the rigid interior ofNorth Amer-
Yan Y. Kagan Dept. Earth and Space Sciences, UCLA, Los Angeles, CA ,
Statistical earthquake forecasts
Global smoothed seismicity models and test results
Understanding Earth Chapter 13: EARTHQUAKES Grotzinger • Jordan
Maximum Earthquake Size for Subduction Zones
Tohoku earthquake: A surprise?
R. Console, M. Murru, F. Catalli
Scaling behavior of Human dynamics in financial market
Presentation transcript:

Random stress and Omori's law Yan Y. Kagan Department of Earth and Space Sciences, University of California Los Angeles Abstract We consider two statistical regularities that were used to explain Omori's law of the aftershock rate decay: Levy and Inverse Gaussian (IGD) distributions. These distributions are thought to describe stress behavior under the influence of various random factors, i.e., post-earthquake stress time history is described by a Brownian motion. Both distributions decay to zero for time intervals close to zero. This feature contradicts the high immediate aftershock level according to Omori's law. We propose that these distributions are influenced by the power-law stress distribution in the neighborhood of the earthquake focal zone and we derive new distributions as a mixture of power-law stress with the exponent psi and Levy as well as IGD distributions. These new distributions describe the resulting inter-earthquake time intervals and they closely resemble Omori's law. The new Levy distribution has a pure power-law form with the exponent -(1+psi/2) and the mixed IGD has two exponents, same as Levy for small time intervals and -(1+psi) for longer times. This power-law behavior should be replaced by even longer time intervals by a uniform seismicity rate corresponding to the long-term tectonic deformation. These background rates are computed based on our former analysis of the earthquake size distribution and its connection to the plate tectonics. We analyze several earthquake catalogs to confirm and illustrate our theoretical results. Finally we discuss how the parameters of random stress dynamics can be determined either through a more detailed statistical analysis of earthquake occurrence or by new laboratory experiments. URL: References Bird, P., and Y. Y. Kagan, Plate-tectonic analysis of shallow seismicity: apparent boundary width, beta, corner magnitude, coupled lithosphere thickness, and coupling in seven tectonic settings, Bull. Seismol. Soc. Amer., 94(6), (plus electronic supplement). Bird, P., C. Kreemer, and W. E. Holt, A long-term forecast of shallow seismicity based on the Global Strain Rate Map, Seismol. Res. Lett., 81(2), (plus electronic supplement). Enescu, B., J. Mori, M. Miyazawa, and Y. Kano, Omori-Utsu law c-values associated with recent moderate earthquakes in Japan, Bull. Seismol. Soc. Amer., 99(2A), Helmstetter, A., Y. Y. Kagan, and D. D. Jackson, Importance of small earthquakes for stress transfers and earthquake triggering, J. Geophys. Res., 110(5), B05S08, doi: /2004JB003286, pp Kagan, Y. Y., Likelihood analysis of earthquake catalogues, Geophys. J. Int., 106(1), Kagan, Y. Y., Distribution of incremental static stress caused by earthquakes, Nonlinear Processes in Geophysics, 1, Kagan, Y. Y., 2002a. Aftershock zone scaling, Bull. Seismol. Soc. Amer., 92, Kagan, Y. Y., 2002b. Seismic moment distribution revisited: II. Moment conservation principle, Geophys. J. Int., 149, Kagan, Y. Y., Short-term properties of earthquake catalogs and models of earthquake source, Bull. Seismol. Soc. Amer., 94(4), Kagan, Y. Y., P. Bird, and D. D. Jackson, Earthquake Patterns in Diverse Tectonic Zones of the Globe, Pure Appl. Geoph., The Frank Evison Volume167(6/7), , doi: /s Lavallee, D., On the random nature of earthquake sources and ground motions: a unified theory, Advances in Geophysics, 50, Matthews, M. V., W. L. Ellsworth, and P. A. Reasenberg, A Brownian model for recurrent earthquakes, Bull. Seismol. Soc. Amer., 92, Powers, P. M., and Jordan, T. H., Distribution of Seismicity Across Strike-Slip Faults in California, J. Geophys. Res., 115(B05), Article Number: B Vere-Jones, D., Foundations of Statistical Seismology, Pure Appl. Geophys., 167(6/7), , doi: /s z. Bird et al., 2010 Distribution curves in Figs consist of two parts: for small time intervals they follow a power-law and for larger intervals the distribution is parallel to the Poisson rate. The difference between regression parameters in Figs. 5 and 6 is small, therefore the size of earthquake focal zone either does not change in various tectonic zones or modifies slightly.