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Published byAlvin Hensley Modified over 9 years ago
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Evidence from the A.D. 2000 Izu islands earthquake swarm that stressing rate governs seismicity By Toda, S., Stein, R.S. and Sagiya, T. In Nature(2002), Vol. 419, pg.58-61
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(K. Yamaoka et al., 2005) Location and Seismicity by S. Nakada Tokyo
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(K. Yamaoka et al., 2005) Background Seismicity Seismicity record Swarm events during A.D. 2000 ~7000 M ≧ 3 shocks 5 M ≧ 6 shocks Total seismic energy release ~1.5 × 10 4 J 0 -2cm -4cm
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Swarm evolution (26 Jun ~ 29 July) Off-dyke appears.Expands substantially after two weeks
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http://sicarius.wr.usgs.gov/animations.html Dike model 8 km 13 km
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http://sicarius.wr.usgs.gov/animations.html Dike model 8 km 13 km ~20m dike expansions 1.5 km 3 vol. increases
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Dike-model test Shear stressing rate Seismicity rate change (shear stress rate) ~ 150 bar/yr
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Dike-model test Dike-model can explain the swarm seismicity. But how about other hypothesis? Heated ground water effect? Propagation rate is not fast enough Heat diffusion? The aftershocks duration is temperature-independent.
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GPS observation and number of M ≧ 3 earthquakes
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Main shock and after shocks duration
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Aftershocks duration time Shear stress rate For the normal stress & duration time: For the M ≈ 6 earthquake close to dike, ~ 0.3d, Calculated stress rate ~150 bar/yr For the background M ≈ 6 shock, ~ 1 yr, Background stress rate ~0.1 bar/yr Aσ~ 0.1 bar (Constant)
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Methods State variable for seismicity formulation Background seismicity rate Reference stressing rate Seismicity Rate For the daily seismicity rate (without sudden stress drop ) Proportion of normal stress State variable before each time step Shear stress rate
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Seismicity rate change when shear stress increases
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Methods For the sudden stress change: Earthquake stress change Proportion of normal stress State variable before each time step State variable for seismicity formulation And also
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Seismicity rate change when sudden stress drop
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GPS observation and number of M ≧ 3 earthquakes With GPS and seismicity data, this event would be a good case to test the “Dieterich Law”
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Aftershocks decay (Observed)(Predicted) ( Aσ~ 0.1 bar ~ constant)
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If stressing rate model works in a swarm, the rate of damage earthquake can be forecast… (times)
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Conclusion Rate/state stress transfer furnishes a comprehensive explanation for distributed swarm seismicity, triggering and clustering. It also offers the prospect that near-real-time analysis of seismic and GPS data to forecast during future swarms. The sudden stress change succeeded by a transient stressing rate change can be simulated by combining the two processes.
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Due to the oscillation of the stressing rate?
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