by Naoki Uchida, Takeshi Iinuma, Robert M

Slides:



Advertisements
Similar presentations
Toward urgent forecasting of aftershock hazard: Simultaneous estimation of b-value of the Gutenberg-Richter ’ s law of the magnitude frequency and changing.
Advertisements

GLOBAL EARTHQUAKE FORECASTS Yan Y. Kagan and David D. Jackson Department of Earth and Space Sciences, University of California Los Angeles Abstract We.
Relative quiescence reported before the occurrence of the largest aftershock (M5.8) with likely scenarios of precursory slips considered for the stress-shadow.
Date of download: 6/1/2016 Copyright © 2016 SPIE. All rights reserved. (a) Optical image of fore and hind wings from a male S. charonda butterfly at different.
A new prior distribution of a Bayesian forecast model for small repeating earthquakes in the subduction zone along the Japan Trench Masami Okada (MRI,
From: Discovery of carbon-rich Miras in the Galactic bulge
RECENT SEISMIC MONITORING RESULTS FROM THE CENTRAL
Creager, Wech, Vidale, Melbourne
FRET change in SCORE precedes fusion.
Chenguang Zheng, Kevin Wood Bieri, Yi-Tse Hsiao, Laura Lee Colgin 
Coding of the Reach Vector in Parietal Area 5d
Volume 98, Issue 11, Pages (June 2010)
Retinal Representation of the Elementary Visual Signal
Inducing Gamma Oscillations and Precise Spike Synchrony by Operant Conditioning via Brain-Machine Interface  Ben Engelhard, Nofar Ozeri, Zvi Israel, Hagai.
Volume 111, Issue 2, Pages (July 2016)
Regulation of Airway Ciliary Activity by Ca2+: Simultaneous Measurement of Beat Frequency and Intracellular Ca2+  Alison B. Lansley, Michael J. Sanderson 
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.
Saccadic suppression precedes visual motion analysis
Volume 71, Issue 4, Pages (August 2011)
Slip pulse and resonance of Kathmandu basin during the 2015 Mw 7
by J. Galetzka, D. Melgar, J. F. Genrich, J. Geng, S. Owen, E. O
Benjamin Scholl, Daniel E. Wilson, David Fitzpatrick  Neuron 
Analysis of Dynamic Brain Imaging Data
by Asaf Inbal, Jean Paul Ampuero, and Robert W. Clayton
Alon Poleg-Polsky, Huayu Ding, Jeffrey S. Diamond  Cell Reports 
Creager, Wech, Vidale, Melbourne
Creager, Wech, Vidale, Melbourne
Xiangying Meng, Joseph P.Y. Kao, Hey-Kyoung Lee, Patrick O. Kanold 
Volume 23, Issue 21, Pages (November 2013)
A, Multivariate glm analysis for the aggregate observer (for the interval range within –450 and 250 ms from action execution). A, Multivariate glm analysis.
Volume 72, Issue 6, Pages (December 2011)
Volume 95, Issue 11, Pages (December 2008)
Volume 98, Issue 11, Pages (June 2010)
by Satoshi Ide, Annemarie Baltay, and Gregory C. Beroza
Volume 110, Issue 1, Pages (January 2016)
by Laura M. Wallace, Spahr C
by Wenyuan Fan, and Peter M. Shearer
Volume 24, Issue 8, Pages e6 (August 2018)
The Mars Pathfinder Atmospheric Structure Investigation/Meteorology (ASI/MET) Experiment by J. T. Schofield, J. R. Barnes, D. Crisp, R. M. Haberle, S.
Volume 84, Issue 3, Pages (March 2003)
Spatial-temporal pattern of lower-crustal effective viscosities
Fig. 3 Comparison between predicted change in DT since the LIG and observed sea-level highstands. Comparison between predicted change in DT since the LIG.
Volume 83, Issue 1, Pages (July 2014)
Christina Ketchum, Heather Miller, Wenxia Song, Arpita Upadhyaya 
Population Responses to Contour Integration: Early Encoding of Discrete Elements and Late Perceptual Grouping  Ariel Gilad, Elhanan Meirovithz, Hamutal.
GABA-A Inhibition Shapes the Spatial and Temporal Response Properties of Purkinje Cells in the Macaque Cerebellum  Pablo M. Blazquez, Tatyana A. Yakusheva 
Fig. 1 Mean swarm response to an oscillating swarm marker.
Fig. 1 Fourteen-year postseismic GPS displacements following the 1999 Chi-Chi earthquake. Fourteen-year postseismic GPS displacements following the 1999.
Scattering and Interference in Epitaxial Graphene
Fig. 1 Phase diagram and FS topologies.
Mechanical spectroscopy of insect swarms
Fig. 4 Model of the average SSE.
Fig. 2 Spatial distribution of earthquake density derived from a catalog spanning 93 nights of the LB Array data set. Spatial distribution of earthquake.
Mechanosensitive Adhesion Explains Stepping Motility in Amoeboid Cells
by Jacqueline Austermann, Jerry X
Earthquakes track subduction fluids from slab source to mantle wedge sink by Felix Halpaap, Stéphane Rondenay, Alexander Perrin, Saskia Goes, Lars Ottemöller,
by Hiro Nimiya, Tatsunori Ikeda, and Takeshi Tsuji
Fig. 4 Relationships between light and economic parameters.
Relationships between species richness and temperature or latitude
Microseismic monitoring data from a treatment associated with a Mw 4
Fig. 1 Observed postseismic DRs after the Tohoku earthquake through the repeated GPS-A observations. Observed postseismic DRs after the Tohoku earthquake.
Fig. 2 Evolution of seismic source and statistical properties of induced seismicity in response to fluid injection. Evolution of seismic source and statistical.
Fig. 2 Device tests. Device tests. (A) Comparison of displacements obtained from consumer GNSS receivers with and without phase smoothing (p-s) and SBAS,
Fig. 2 Comparison of the observed DRs and the estimates by the VR model and FL. Comparison of the observed DRs and the estimates by the VR model and FL.
Fig. 1 Postseismic displacements recorded by land and seafloor GPS sites from September 2012 to May 2016 after the 2011 Mw 9.0 Tohoku earthquake. Postseismic.
Fig. 1 LFE amplitudes track slow slip in both time and space in Guerrero, Mexico. LFE amplitudes track slow slip in both time and space in Guerrero, Mexico.
Fig. 2 Finite element method (FEM) simulations of the photonic synapse with different structures. Finite element method (FEM) simulations of the photonic.
Height-dependent swarm response for a fixed amplitude of AM= 84 mm
Presentation transcript:

Periodic slow slip triggers megathrust zone earthquakes in northeastern Japan by Naoki Uchida, Takeshi Iinuma, Robert M. Nadeau, Roland Bürgmann, and Ryota Hino Science Volume 351(6272):488-492 January 29, 2016 Copyright © 2016, American Association for the Advancement of Science

Fig. 1 Using repeaters to track slow plate-boundary slip. Using repeaters to track slow plate-boundary slip. Schematic figure showing the tectonic setting (A), the activity of repeaters on the plate boundary (B and C), and steps to estimate the slip-rate time series from repeater data (D to G) (14). There are variably sized seismic patches on the plate boundary surrounded by aseismic slip areas (A). The small repeaters (C) represent repeated rupture of small patches that catch up with the creep in the surrounding areas (B). By calculating the slip of each earthquake, we obtain cumulative slip for each repeater sequence [(D) and (E)]. We average slip in each area (F) and obtain the temporal change of slip rate from the gradient of the averaged cumulative curve (G). Naoki Uchida et al. Science 2016;351:488-492 Copyright © 2016, American Association for the Advancement of Science

Fig. 2 Spatiotemporal distribution of repeaters and temporal variation of slow slip. Spatiotemporal distribution of repeaters and temporal variation of slow slip. (A) Distribution of repeater sequences (red circles) and slip areas of large earthquakes (black and white contours) (11–13, 29, 30). Cyan squares show seismic stations. Green stars show a M 6.1 earthquake in 2008 (north) and a M 7.3 earthquake in 2011 (south) that were preceded by slow slip (18). (B and C) Temporal distribution of repeaters near Sanriku aligned by latitude (top) (see fig. S1 for vertical enlargement), magnitude-time plot of M ≥ 5 earthquakes (middle), and temporal change of slip rate inferred from repeaters (bottom) for offshore (B) and near-shore (C) areas off Sanriku shown in (A) (see fig. S3 for corresponding data for all other areas). Vertical lines show the times of the 1994 M 7.6 Sanriku-oki and the 2011 M 9 Tohoku-oki earthquakes. The number of M ≥ 5 events in offshore and near-shore areas is 194 and 68, respectively. The red curves in (B) and (C) are best-fit sinusoidal functions fit to the slip-rate time series with 3.09- and 2.72-year periods, respectively. Repeaters and M ≥ 5 events during the positive phase of the best-fitted sinusoid are shown by colored symbols, whereas those during the negative phase are shown by open symbols. Naoki Uchida et al. Science 2016;351:488-492 Copyright © 2016, American Association for the Advancement of Science

Fig. 3 Timing of repeaters, slow slip, and M ≥ 5 earthquakes. Timing of repeaters, slow slip, and M ≥ 5 earthquakes. (A) Times of the repeaters (top panels) and repeater-inferred slip rates (bottom panel) in the offshore Sanriku area (Fig. 2B) around the times of the 1989 M 7.2 (red) and 1992 M 6.9 (blue) mainshocks. Slip rates during 10 days before and 30 days after the mainshocks are plotted using a causal data window stepped every 1 day. Light and deep colors for the circles indicate repeaters before and after the mainshocks, respectively. (B) Amplitude spectrum of the slip rate for the offshore Sanriku area (red line; the original slip-rate time series is shown in Fig. 2B). The horizontal dashed red line shows the average of the amplitude in a 1- to 9-year period range. Black, red, green, and blue circles show Schuster spectra (19) for the M ≥ 5 declustered earthquake catalogs for the time periods shown in the figure. The P values on the vertical axis give the probability of observing such a level of periodic variations in a catalog with a constant seismicity rate. (C) Magnitude-time plot of M ≥ 5 earthquakes in the offshore Sanriku area before the repeater analysis period (i.e., 1930 to 1983). The red curve is the same sinusoidal function as in Fig. 2B, extrapolated from the fitting period. The green and white stars show events during times of positive and negative amplitude of the extrapolated sinusoid, respectively. Green and blue lines show the time period used in Fig. 3B. Plots similar to Fig. 3, B and C, but for the near-shore Sanriku area are shown in fig. S5, A and B, respectively. Naoki Uchida et al. Science 2016;351:488-492 Copyright © 2016, American Association for the Advancement of Science

Fig. 4 Spatial distribution of degree of periodicity and dominant period estimated from the repeater data. Spatial distribution of degree of periodicity and dominant period estimated from the repeater data. The color intensity shows the degree of periodicity, and the colors show the dominant period for the periods from 1984 to 2011 (between 36.5° and 41.5°N) and from 1993 to 2011 (north of 41.5°N and south of 36.5°N). The periods indicated for each area represent the dominant peak in the amplitude spectrum of the slip-velocity variations inferred from repeaters for 0.4° (latitude) by 0.6° (longitude) spatial windows. Contours show slip areas for the 2011 Tohoku-oki earthquake (M 9.0) and other M 7 or larger earthquakes since 1930 (11–13, 30). Colored circles show the dominant period of the on-land GPS gradient in plate motion parallel to the N105°E (Honshu) and N120°E (Hokkaido) directions (see fig. S13 for the spectrum of gradient time series in profile lines a to j that are used to compute the dominant periods). Naoki Uchida et al. Science 2016;351:488-492 Copyright © 2016, American Association for the Advancement of Science