Relative quiescence reported before the occurrence of the largest aftershock (M5.8) with likely scenarios of precursory slips considered for the stress-shadow.

Slides:



Advertisements
Similar presentations
Contributions of Prof. Tokuji Utsu to Statistical Seismology and Recent Developments Ogata, Yosihiko The Institute of Statistical Mathematics , Tokyo and.
Advertisements

Magnitude 7.1 NEAR THE EAST COAST OF HONSHU, JAPAN Thursday, April 7, 2011 at 14:32:41 UTC Japan was rattled by a strong aftershock and tsunami warning.
5. Data misfit 3. Full Bayesian Analysis of the Final Slip Distribution 3.1 Used data > InSAR: RadarSAT-2, ascending and descending orbit > GPS networks:
Modeling swarms: A path toward determining short- term probabilities Andrea Llenos USGS Menlo Park Workshop on Time-Dependent Models in UCERF3 8 June 2011.
A magnitude 7.3 earthquake occurred to the east of Kathmandu, in an area close to Mount Everest. This large earthquake is the largest aftershock so far.
Earthquakes Chapter 16. What is an earthquake? An earthquake is the vibration of Earth produced by the rapid release of energy Energy radiates in all.
Earthquake interaction The domino effect Stress transfer and the Coulomb Failure Function Aftershocks Dynamic triggering Volcano-seismic coupling.
Yan Y. Kagan Dept. Earth and Space Sciences, UCLA, Los Angeles, CA , Full.
Lecture #13- Focal Mechanisms
Omori law Students present their assignments The modified Omori law Omori law for foreshocks Aftershocks of aftershocks Physical aspects of temporal clustering.
Stress III The domino effect Stress transfer and the Coulomb Failure Function Aftershocks Dynamic triggering Volcano-seismic coupling.
Omori law The modified Omori law Omori law for foreshocks Aftershocks of aftershocks Physical aspects of temporal clustering.
Brainstorm: How to assess an Earthquake: Stroked off B.C. coast? Rapid Earthquake Risk Assessment Source Parameters USGS World Shake Maps USGS Shake Aftershocks.
Seismogenesis, scaling and the EEPAS model David Rhoades GNS Science, Lower Hutt, New Zealand 4 th International Workshop on Statistical Seismology, Shonan.
By: De’Aja Koontz 6 Th Period.  A member of the set of positive whole numbers {1, 2, 3,... }, negative whole numbers {-1, -2, -3,... }, and zero {0}.
1 Fault Dynamics of the April 6, 2009 L'Aquila, Italy Earthquake Sequence Robert B. Herrmann Saint Louis University Luca Malagnini INGV, Roma.
Analysis of complex seismicity pattern generated by fluid diffusion and aftershock triggering Sebastian Hainzl Toni Kraft System Statsei4.
Toward urgent forecasting of aftershock hazard: Simultaneous estimation of b-value of the Gutenberg-Richter ’ s law of the magnitude frequency and changing.
A functional form for the spatial distribution of aftershocks Karen Felzer USGS Pasadena.
The January 2010 Efpalio earthquake sequence in Western Corinth Gulf: epicenter relocations, focal mechanisms, slip models The January 2010 Efpalio earthquake.
Coulomb Stress Changes and the Triggering of Earthquakes
2. MOTIVATION The distribution of interevent times of aftershocks suggests that they obey a Self Organized process (Bak et al, 2002). Numerical models.
GLOBAL EARTHQUAKE FORECASTS Yan Y. Kagan and David D. Jackson Department of Earth and Space Sciences, University of California Los Angeles Abstract We.
1 Cythera M6.7 earthquake (January 8, 2006) in southern Aegean: uneasy retrieval of the upward rupture propagation J. Zahradnik, J. Jansky, V. Plicka,
Does the Scaling of Strain Energy Release with Event Size Control the Temporal Evolution of Seismicity? Steven C. Jaumé Department of Geology And Environmental.
Aftershock statistics 266 aftershocks of M>2.5 were recorded during the first two months after the main shock Daily distribution does not decay exponentially.
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.
FOCAL PLANE MECHANISM Dr. N. VENKATANATHAN.
Understanding Earth Sixth Edition Chapter 13: EARTHQUAKES © 2011 by W. H. Freeman and Company Grotzinger Jordan.
A new prior distribution of a Bayesian forecast model for small repeating earthquakes in the subduction zone along the Japan Trench Masami Okada (MRI,
Date of download: 6/22/2016 Copyright © ASME. All rights reserved. From: The Importance of Intrinsic Damage Properties to Bone Fragility: A Finite Element.
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.
Seismotectonics Mathilde B. Sørensen and J. Havskov.
Understanding Earth Chapter 13: EARTHQUAKES Grotzinger • Jordan
RECENT SEISMIC MONITORING RESULTS FROM THE CENTRAL
S52C-01 Outline of the 2016 Kumamoto, Japan, earthquakes and lessons learned for a large urban earthquake in Tokyo metropolitan area Naoshi Hirata1, Aitaro.
S52C-01 Outline of the 2016 Kumamoto, Japan, Earthquakes and lessons for a large urban earthquake in Tokyo Metropolitan area Naoshi Hirata1, Aitaro Kato1,
Principal Stress rotates to EW direction
R. Console, M. Murru, F. Catalli
K. Maeda and F. Hirose (MRI)
Chiu Shuen Hui, Henry R. Besch, Keshore R. Bidasee  Biophysical Journal 
Kenji MAEDA Meteorological Research Institute, JMA
A Neural Signature of Divisive Normalization at the Level of Multisensory Integration in Primate Cortex  Tomokazu Ohshiro, Dora E. Angelaki, Gregory C.
Michael L. Morgan, Gregory C. DeAngelis, Dora E. Angelaki  Neuron 
A Switching Observer for Human Perceptual Estimation
A Role for the Superior Colliculus in Decision Criteria
Attentional Modulations Related to Spatial Gating but Not to Allocation of Limited Resources in Primate V1  Yuzhi Chen, Eyal Seidemann  Neuron  Volume.
Plan The next question would be ... but how do we get the drawings from the 3D object? This will be explained over the next few pages. Take a look at.
by John D. O. Williams, Mark W. Fellgett, and Martyn F. Quinn
Hippocampal “Time Cells”: Time versus Path Integration
Volume 88, Issue 3, Pages (November 2015)
Neural Correlates of Reaching Decisions in Dorsal Premotor Cortex: Specification of Multiple Direction Choices and Final Selection of Action  Paul Cisek,
A Switching Observer for Human Perceptual Estimation
Adrián Hernández, Antonio Zainos, Ranulfo Romo  Neuron 
Stephen V. David, Benjamin Y. Hayden, James A. Mazer, Jack L. Gallant 
by Satoshi Ide, Annemarie Baltay, and Gregory C. Beroza
Bor-Shuen Wang, Rashmi Sarnaik, Jianhua Cang  Neuron 
by Wenyuan Fan, and Peter M. Shearer
Brandon Ho, Anastasia Baryshnikova, Grant W. Brown  Cell Systems 
by Naoki Uchida, Takeshi Iinuma, Robert M
Introduction to Faults.
You’re stressing me OUT!
Volume 18, Issue 3, Pages (April 2005)
Fig. 1 Map of the trifurcation area of the SJFZ.
Modeling Endoplasmic Reticulum Network Maintenance in a Plant Cell
Volume 29, Issue 5, Pages e4 (March 2019)
Reliability of Assessment of Protein Structure Prediction Methods
by Hiro Nimiya, Tatsunori Ikeda, and Takeshi Tsuji
Presentation transcript:

Relative quiescence reported before the occurrence of the largest aftershock (M5.8) with likely scenarios of precursory slips considered for the stress-shadow covering the aftershock area Yosihiko Ogata, Institute of Statistical Mathematics Fig. 5. The secondary aftershock sequences of the largest aftershock of M5.8 till the M5.0 event at May 2, The significance of the change-point models against the normal decay by fitting the modified Omori model (red curves) is  AIC = The bottom panels show the  CFS contours at the depths shown in the figure bottom. The source models are of the largest aftershock (M5.8, left diagram) and of the assumed slip (right diagram) preceding M5.0 events whose depth and mechanisms indicated in the figure are due to the JMA; and the receiver fault is opposite to each other. The top right panel shows XY segment versus time plot of the secondary aftershocks where dotted line indicates the occurrence time of the M5 event. Fig. 4. The  CFS contours at the depth of 7km for the off-fault aftershocks in the region A, the cumulative number of which against the time is shown in the bottom middle panel where the vertical dotted line indicates the occurrence of the largest aftershock of M5.8. The source models are of the mainshock5) in the top panels and of the assumed precursory slip ( left lateral, strike = 320, cf. Fig. 3 ) in the bottom panels; and the strike angle of the receiver fault is 300 and 320 in the northern part (left panel) and southern part (right panel) of the region A, respectively. Fig. 3. The left-side two panels show aftershock epicenters (top) and the projection of hypocenters to plane of X-Y against depth (bottom). The middle two panels show the depth against elapsed time of events in the entire aftershock region (top) and in the region close to the largest aftershock (bottom). Black circles represent the aftershocks after the largest aftershock. The right-side two panels indicate  CFS contours at the depth of 5km (top) and 10km (bottom) for the aftershocks of similar mechanism5) to the mainshock’s assuming the precursory slip on the yellow color rectangular region ( H = 8km, L = W = 8km , strike = 320 ) shown in the left panels. Fig. 2. The aftershock sequences till the largest aftershock of M5.8 at April 20, The models with the same change-points as in Fig. 1 still remain better fitted with  AIC = 0.0 for M2.6+ case and  AIC = for M3.0+ case. Fig. 1. The aftershock sequence (M2.6+ and M3+ for the top and bottom blocks, respectively) led by the M7.0 earthquake of March 20, 2005 in the Fukuoka-Ken western offshore, till the April 4, 2005: their cumulative numbers and magnitudes against ordinary time (the top of the paired diagrams) and transformed time by the fitted ETAS model (the bottom of the paired diagrams). The left side panels show the fit of one ETAS model to the events throughout the entire period, while the other panels show the best fit of the two-fold model (ETAS for the former period and the stationary Poisson for the latter) for the two periods divided at the possible change-points (vertical dotted lines) even taking account of the model complexity including the searched change-point.: in M2.6+ case it is at March 28 (  AIC = ), and in M3.0+ case those are either March 2 7 (  AIC = ), or the three- fold model divided at March 21 and then 27 (  AIC = ). Monitoring of aftershock sequences to detect lowering activity, relative to the modeled rate (the relative quiescence), becomes realistic and practical in predicting the enhancement of the likelihood of having a substantially large aftershock, or even another earthquake of similar size or larger. A significant relative quiescence in the aftershock sequence of the 2005 March earthquake of M7.0 off the western coast of Fukuoka, Japan, was reported two weeks before the largest aftershock of M5.8 that also hit the Kyushu District. The relative quiescence was discussed in relation to the stress- shadowing as inhibiting the activity due to probable precursory slips. The reason of the shadowing are retrospectively speculated in more detail in comparison with the 3D space-time feature of the main aftershocks by assuming a preslip in a zone between the main and secondary fault. Likewise, the same slip should transfer the stress-shadow covering the active off-fault clusters. Likewise, another preslip around the largest aftershock can explain space-time feature of the relative quiescence preceding M5.0 event in the secondary aftershock sequence. Fig. 6. The secondary aftershock sequences of the largest aftershock of M5.8 till the M5.0 event at May 2, The significance of the change-point models against the normal decay by fitting the modified Omori model (red curves) is  AIC = The bottom panels show the  CFS contours at the depths shown in the figure bottom. The source models are of the largest aftershock (M5.8, left diagram) and of the assumed slip (right diagram) preceding M5.0 events whose depth and mechanisms indicated in the figure are due to the JMA; and the receiver fault is opposite to each other. The top right panel shows XY segment versus time plot of the secondary aftershocks where dotted line indicates the occurrence time of the M5 event.