- Full paper
- Open Access
- Published:
Omori-like slow decay (p < 1) of postseismic displacement rates following the 2011 Tohoku megathrust earthquake
Earth, Planets and Space volume 72, Article number: 37 (2020)
Abstract
We infer the postseismic deformation mechanisms following the 2011 Tohoku megathrust earthquake via an analysis of onshore geodetic observations. We focus on the temporal decay characteristics of postseismic deformation using continuous time-series data at time scales that span many orders of magnitude by means of high-rate GNSS data. Our analysis indicates Omori-like power-law decay of the horizontal ground displacement rates, with p-value (0.69) that is significantly smaller than that of the aftershock occurrence (~ 1). This slow decay implies a (non-Maxwellian) viscoelastic relaxation mechanism other than afterslip since immediately after the mainshock, which is inferred using only onshore geodetic data. Spatial distribution of the Omori parameters implies that the postseismic deformation will continue over 100 years in a down-dip area of the northern part of the mainshock fault. The decay characteristics of vertical displacement rates are also almost Omori-like, but data deviation from the fitting line several 100 days after the mainshock might reflect the change of the dominant mechanism of the postseismic deformation. This multi-time scale geodetic approach will provide important constraints for future viscoelastic models of Earth’s interior.

Introduction
Postseismic deformation following large earthquakes has been quantitatively investigated using geodetic observations (Segall 2010). Rock rheology and friction control postseismic deformation via two primary mechanisms, aseismic transient afterslip along the mainshock fault (Heki et al. 1997) and viscoelastic relaxation of the asthenosphere (Nur and Mavko 1974), with both mechanisms often coexisting during deformation (Thatcher 1983; Wang et al. 2012). However, the ability to differentiate between these two mechanisms has been difficult due to limited observations and their similar spatial deformation patterns especially in horizontal components (e.g., Barker 1976), which complicates studies investigating the frictional and/or rheological characteristics of Earth’s interior. This also presents a challenge for seismic hazard mitigation since afterslip can accelerate the rupture of adjacent earthquake source regions (Matsuzawa et al. 2004).
A recent continental earthquake study (Ingleby and Wright 2017) demonstrated that afterslip (or localized power-law creep in a shear zone) is the dominant postseismic deformation mechanism. They focused on near-fault geodetic observations at time scales that spanned over five orders of magnitude, and found that the postseismic velocities were inversely proportional to time since the earthquake (following the Omori law for aftershocks (Omori 1894), with a p-value of ~ 1), with logarithmic increase in postseismic displacement over time. This deformation characteristic was consistent with a rate-and-state-dependent friction law (Marone et al. 1991) and a hypothesis that aftershocks are triggered by afterslip (Perfettini and Avouac 2004). Linear relations between aftershock number and afterslip following the 2005 Nias earthquake and the 2010 Maule earthquake have been reported in the subduction megathrusts (Hsu et al. 2006; Lange et al. 2014). For the 2011 Tohoku earthquake, Ozawa et al. (2012) suggested a good correlation between the aftershock number and the moment of the afterslip based on daily data during 7 months after the mainshock (but they did not propose a linear relation of them).
For subduction zone interplate earthquakes, viscoelastic relaxation as well as afterslip has been identified as a notable mechanism (Wang et al. 2012). Seafloor geodetic observations of the 2011 Tohoku megathrust earthquake (moment magnitude (Mw) 9.0) provided clear evidence for viscoelastic relaxation as the dominant deformation mechanism (Sun et al. 2014; Watanabe et al. 2014). However, diverse postseismic deformation models that incorporate afterslip and viscoelastic relaxation have been proposed (Diao et al. 2014; Yamagiwa et al. 2015; Hu et al. 2016; Muto et al. 2016; Iinuma et al. 2016; Freed et al. 2017; Sobolev and Muldashev 2017; Suito 2017; Agata et al. 2019), with the model results being strongly dependent on their structures, constitutive laws, and viscoelasticity parameters. Some studies assumed layered structures of parameters (Diao et al. 2014; Yamagiwa et al. 2015), some reduced to two-dimensional problems (Muto et al. 2016; Sobolev and Muldashev 2017), but the others considered three-dimensional parameter distribution, with various constitutive laws such as the Maxwell viscosity, the bi-viscous Burgers rheology, or power-law rheology. We suggest that an effective method to constrain the complex deformation processes following a megathrust earthquake is via the analysis of continuous (onshore) time-series data at time scales that span many orders of magnitude, following the aforementioned continental earthquake study (Ingleby and Wright 2017).
Here we clarify the temporal evolution of postseismic deformation following the 2011 Tohoku Earthquake. We accomplish this analysis using continuous (onshore) time-series data at time scales that span many orders of magnitude immediately after the mainshock. We compare the ground displacements with aftershock occurrence to infer the dominant deformation mechanism.
Data and methods
GNSS data
We used GNSS (Global Navigation Satellite System) data from the GEONET array, which are provided by GSI (Geospatial Information Authority of Japan), to study the postseismic deformation of the Mw 9.0 Tohoku megathrust earthquake on March 11, 2011, at 14:46 JST (Japan Standard Time).
We obtained ground displacements via analysis of the 30-s RINEX files (“high-rate GNSS”) obtained between 9:00 JST on March 10, 2011, and 9:00 JST on March 18, 2011, using the GSILIB software (GSI 2015). We obtained the kinematic time-series displacements at the GEONET stations relative to a fixed station, Otaru 1 (0013; 141.031° E, 43.178° N). 300 GEONET stations in northeastern Japan are used in this analysis. The GNSS settings are as follows: (i) ephemeris from the IGS final orbit, with a 15-min interval; (ii) elevation mask of 15°; (iii) solid Earth tide correction based on the IERS model (McCarthy and Petit 2003); (iv) ionospheric delay correction via estimation of the slant total electron content; (v) tropospheric delay correction via estimation of the horizontal gradient of the zenith total delay; (vi) phase center variation corrections for both the satellites and receivers; and (vii) P1-C1 differential code bias correction.
We also used the daily ground displacement solutions provided by GSI from March 18, 2011, to December 31, 2018 (Nakagawa et al. 2009). Therefore, our analysis employs two types of GNSS time-series data at time scales that span many orders of magnitude. Figure 1 shows an example of the time-series data.
a Locations of the 141 GEONET stations (solid triangles) used in this study, relative to the 2011 Tohoku megathrust earthquake and subducting plate interface. The study is focused in northeastern Japan, where the Pacific Plate subducts beneath the Okhotsk Plate at the Japan Trench. The beach-ball symbol indicates the centroid moment tensor solution of the 2011 Tohoku megathrust earthquake obtained by JMA (Japan Meteorological Agency), and the squares delineate the inferred fault ruptures from a coseismic fault model (Nishimura et al. 2011). The solid lines represent the plate boundaries (Bird 2003). The dashed lines represent the plate interface contours (Hayes et al. 2012) at 20 km intervals. b Example of the time-series data at the Kuji GEONET station, numbered 0027 on the map. The white lines represent the smoothed results. Both the 30-s sampling high-rate data (upper figure) and daily data (lower figure) following the mainshock are presented
Postseismic deformation following the Tohoku Earthquake
We calculated the ground displacement rates following the mainshock at 14:46 JST on March 11, 2011, for both the N–S and E–W (horizontal) components of the GNSS time-series data. We calculated the displacement rates also for the vertical component, but they contained much noise due to the satellite geometry problem (e.g., Berber et al. 2012). Therefore, in the followings, we mainly use N–S and E–W (horizontal) components for analyses. In “Discussion” section, we will provide analyzed results for the vertical component. The time frames after the mainshock for the calculation are as follows: 0–6 h (hour), 6–21 h, 21–33 h, 33–81 h, 81–153 h, 7–21 d (day), 21 d to 2 mo (month), 2–6 mo, 6–11 mo, 11–23 mo, 23–45 mo, 45–69 mo, and 69–93 mo.
We had to extract the deformation signal from the 30-s data since they contain high noise levels. We first removed the coseismic offsets of two large aftershocks that occurred near the coast on March 11, 2011 (Nishimura et al. 2011), from the time-series data. One was a Mw 7.4 earthquake at 15:08 JST, which occurred along the northern extension of the mainshock fault, and the other was a Mw 7.7 earthquake at 15:15 JST, which occurred along the southern extension of the mainshock fault. Next, using a moving-average method (Cleveland et al. 1990), we removed a periodic diurnal component and an irregular component from the time-series data. We then smoothed the cleaned time-series data using Friedman’s super smoother (Friedman 1984) to obtain regression lines of each time-series, with a start time of 14:51 JST on March 11, 2011. We then calculated the ground displacement rates. Lastly, we excluded the noisy observation points for the displacement rates, where we define the outliers as those > 1.5 times the interquartile range from the third quartile value during each observation period. Friedman’s super smoother was also applied to the daily ground displacement data every 0.1 years after the mainshock, for the calculation of the displacement rates.
Finally, we removed interseismic (pre-Tohoku) displacement rates from the above estimation in order to obtain true signals of the postseismic deformation. We identified a representative period from December 1996 to December 2002, because transient deformation signals after 2003 in northeastern Japan were reported (Suito et al. 2011; Ozawa et al. 2012; Heki and Mitsui 2013). Although postseismic deformation of the 1994 Sanriku-oki earthquake (Mw 7.7) might have continued in the selected representative period (Ozawa et al. 2007), we determined it as a better choice than the following period after 2003. Then we obtained 6-year deformation amount as difference between medians of the first and last months, and calculated the interseismic displacement rates. We can use the time-series data at 141 GEONET stations (Fig. 1) in this study.
We expect the ground displacement rates to decrease with time since the mainshock. The temporal evolution of the horizontal ground displacement rates for every GNSS station is shown in Fig. 2. The decay in ground displacement rate resembles the modified Omori law for aftershocks (Utsu 1957):
Evolution of the horizontal ground displacement rates after the 2011 Tohoku Earthquake. We plot the displacement rates of the stations at the midpoints of the time frames. The red dashed line represents the best-fit to the observations based on Eq. (1) with \(p_{d} = 0.69\). The blue dotted line shows a reference of the displacement rates of 1 cm/year, as a typical value of tectonic deformation
where \(d\left( t \right)\) is the ground displacement rates for time \(t\) since the mainshock, and \(a_{d}\), \(c_{d}\), and \(p_{d}\) are constants. We estimate the parameters via a least-squares fit (all values are assumed to be non-negative).
Seismicity decay after the Tohoku Earthquake
We extracted the aftershocks from the JMA earthquake catalog that occurred between March 11, 2011, and December 31, 2017 (this date is different from that of the postseismic deformation), with focal depths shallower than 100 km and epicenters located within the map in Fig. 1, for a comparison with the postseismic ground displacement rates. The decay in aftershock occurrence follows the modified Omori law as:
where \(s\left( t \right)\) is the seismicity rate for time \(t\), and \(a_{s}\), \(c_{s}\), and \(p_{s}\) are constants. We estimate the parameters via a least-squares fit (all values are assumed to be non-negative).
We determined a lower magnitude limit of 4.0 based on the size–frequency distribution of the above data and the Gutenberg–Richter law (Gutenberg and Richter 1944). In order to discuss the aftershock decay without effects of inland earthquakes, we limit the analysis area near the source fault of the mainshock as shown by Fig. 3.
Seismicity after the 2011 Tohoku megathrust earthquake between March 11, 2011, and December 31, 2017, with focal depths shallower than 100 km and magnitudes larger than 4.0. We estimate the parameters of the aftershock decay (in the modified Omori law) from the earthquakes of the red points located within the blue dotted quadrangle. The pale red points represent earthquakes located out of the quadrangle area
Results
Postseismic deformation following the Tohoku Earthquake
For the “Omori-like” law of the postseismic displacement rates (Fig. 2), we estimated the \(p\)-value (\(p_{d}\)) as \(0.69\left( { \pm 0.01} \right)\) via a least-squares fit (all values are assumed to be non-negative) in logarithmic space, with \(a_{d} = 2.1\left( { \pm 0.1} \right) \times 10^{ - 7}\) m s−1 and \(c_{d} = 0.28\left( { \pm 0.07} \right)\) d, where \(\pm\) mean 95% confidence intervals. A reference of convergence time of postseismic deformation, \(t_{c}\), where we define \(t_{c}\) as time of \(d\left( t \right) =\) 1 cm/year (a typical value of tectonic deformation in the research area, referring to Ozawa et al. (2012)), is about 30 years. If we change 1 cm/year to 1 mm/year, \(t_{c}\) is about 860 years.
We found that the p-value (\(p_{d}\)) is significantly smaller than that for continental earthquakes (Ingleby and Wright 2017), which indicates the slow decay of postseismic deformation following the 2011 Tohoku Earthquake. The integration of d over time indicates that the displacement since the mainshock is not logarithmic, which is in contrast to a p-value of ~ 1. Because a p-value of ~ 1 (logarithmic increase in displacement) was related to frictional afterslip (Marone et al. 1991), our result implies additional mechanisms of the postseismic deformation.
Figure 4 shows examples of the Omori-like fitting for the horizontal displacement rates at each GNSS station. Additional file 1: Table S1 compiles all of the fitted parameters.
We calculate the spatial distribution of the reference of convergence time of postseismic deformation, \(t_{c}\), as time of \(d\left( t \right) =\) 1 cm/year (a typical value of tectonic deformation). Figure 5 illustrates the \(t_{c}\) distribution (see Additional file 1: Table S1 for details). \(t_{c}\) varied by two orders of magnitude in the studied region. We found that the postseismic deformation will continue over 100 years especially in a down-dip area of the northern part of the mainshock fault. By contrast, the postseismic deformation to the southwest of the mainshock fault will soon end.
Seismicity decay after the Tohoku Earthquake
We investigated the modified Omori law of the aftershocks for comparison with the postseismic deformation (Fig. 6). We estimated the p-value (\(p_{s}\)) as \(0.95\left( { \pm 0.02} \right)\) via a least-squares fit (all values are assumed to be non-negative) in logarithmic space, with \(a_{s} = 520\left( { \pm 59} \right)\) d−1 and \(c_{s} = 0.32\left( { \pm 0.07} \right)\) d.
Evolution of the seismicity rates after the 2011 Tohoku Earthquake. The thick orange dashed line represents the best fit based on Eq. (2) with \(p_{s} = 0.95\), whereas the thin red dashed line shows a (failed) prediction with the same \(p\)-value as the case for the horizontal ground displacement rates (\(p_{d}\))
We found that the \(p\)-value of the aftershocks (\(p_{s} =\) 0.95) is ~ 1, which is considerably larger than the \(p\)-value of the ground displacement (\(p_{d}\) = 0.69). This difference (\(p_{d} < p_{s}\)) is significant because it indicates that the postseismic ground deformation decayed more slowly than the aftershock occurrence. For example, the seismicity rates several years after the mainshock are almost one order of magnitude lower than those calculated using the p-value derived from the ground displacement rates, as shown in Fig. 6.
Our analysis clearly highlights that the ground displacement rates following the 2011 Tohoku megathrust earthquake were not inversely proportional to time, as observed for continental earthquakes (Ingleby and Wright 2017), with a different aftershock decay compared to that of the Nias megathrust earthquake (Hsu et al. 2006). An exhaustive literature review indicates that such deformation characteristics (\(p_{d} < p_{s}\)) have not been reported to-date.
One might consider that \(p_{d}\) does not necessarily need to equal \(p_{s}\) in terms of rock friction, particularly since sophisticated earthquake models that employ a rate-and-state-dependent friction (Dieterich 1994) to trigger earthquakes via afterslip (Helmstetter and Shaw 2009) have predicted cases with different \(p_{d}\) and \(p_{s}\) values. However, these studies suggest that \(p_{d} \ge p_{s}\), making \(p_{d} < p_{s}\) impossible for \(p_{d} \ne\) 1. The model prediction (\(p_{d} \ge p_{s}\)) is consistent with the well-known concept that “each earthquake generates additional earthquakes” (e.g., Kagan and Knopoff 1981; Ogata 1988). Therefore, our result of \(p_{d} < p_{s}\) indicates additional postseismic deformation mechanisms that do not effectively trigger aftershocks.
Discussion
Relation between the Omori-like decay and deformation mechanisms
Maxwellian viscoelastic models have been used in many studies to explain postseismic deformation at subduction zones. For instance, Suito (2017) developed a three-dimensional heterogeneous model incorporating the subducting Pacific Plate and the mantle wedge. Figure 7 shows comparison of Model 4 in Suito (2017) (final model with a weak mantle wedge and thin layer beneath the subducting slab, of which viscosities are on the order of 1018 Pa s) with our results of the horizontal displacement rates at the same stations. We confirm that the Maxwellian viscoelastic relaxation can well explain our results for a later span (since one hundred d after the mainshock). However, as investigated by Ingleby and Wright (2017), the Maxwellian viscoelastic relaxation does not behave as the Omori-like law and cannot explain the early span of our results. Some mechanisms play key roles. Afterslip has been frequently raised as the most dominant mechanism (e.g., Diao et al. 2014).
Our results of a slower postseismic deformation decay (\(p_{d} =\) 0.69) than the aftershock occurrence indicate a non-negligible contribution of additional mechanisms other than afterslip (with a p-value of ~ 1) immediately after the mainshock. This implies that the interpretation of early postseismic deformation as afterslip in the literature (e.g., Mitsui and Heki 2013) is inappropriate, at least in subduction zone environments. Non-Maxwellian (bi-viscous Burgers rheology or power-law rheology) viscoelastic relaxation of the asthenosphere is one plausible mechanism. Another possible mechanism of poroelastic rebound with fluid flow may not cause large deformation far from the source fault, compared with viscoelastic relaxation (Hu et al. 2014).
Although previous studies have highlighted the importance of viscoelastic relaxation, we note that the estimated viscoelastic parameters are heavily dependent on the assumed parameter structures and constitutive laws. For example, some studies of the 2011 Tohoku Earthquake have estimated the viscosity of the asthenosphere at ~ 1019 Pa s (Diao et al. 2014; Yamagiwa et al. 2015; Hu et al. 2016), whereas other studies have estimated it at ~ 1018 Pa s (Freed et al. 2017; Suito 2017). The existence of a subducting slab and localized weaker zones have been suggested (Hu et al. 2014, 2016; Muto et al. 2016; Freed et al. 2017; Suito 2017). Furthermore, a stress-dependent and non-constant viscosity due to power-law dislocation creep (Freed and Bürgmann 2004) has been implemented in recent studies (Sobolev and Muldashev 2017; Agata et al. 2019), where a sophisticated study (Sobolev and Muldashev 2017) simulated ground displacement rates by varying the model parameters in a two-dimensional body. This behavior is intrinsic to giant earthquakes which mostly can occur only in subduction zones, because a giant earthquake has a huge effect on the viscosity due to the power-law of dislocation creep.
Decay characteristics of postseismic deformation must depend on viscoelastic parameters, structures, and constitutive laws, according to the previous numerical experiments of viscoelasticity (e.g., Figures 8–9 in Sobolev and Muldashev 2017; Figure 3 in Ingleby and Wright 2017). Although multiple mechanisms may work during the postseismic deformation as many studies exhibited, the evolution of the horizontal displacement rates seemed to obey a single Omori-like law (Eq. (1)). This point is interesting for a future issue of the mechanisms of postseismic deformation (for example, do we consider “afterslip” as a separate mechanism from viscoelastic relaxation?). Analysis of the p-value distribution using continuous time-series data at time scales that span many orders of magnitude may, therefore, be an important constraint in guiding future viscoelastic models of Earth’s interior.
Omori-like decay of vertical displacement rates
In order to further discuss the mechanisms of the postseismic deformation, we examined the postseismic decay of the displacement rates in the vertical component although the vertical component of the GNSS time-series contained much noise (e.g., Berber et al. 2012) especially for the 30-s sampling high-rate data. On the basis of the same methods as the horizontal components, we calculate the vertical displacement rates after the 2011 Tohoku earthquake.
Figure 8a shows the calculation results. The evolution of the vertical displacement rates can be roughly fitted by the Omori-like law using the same \(p_{d}\) and \(c_{d}\) as those for the horizontal components (with \(a_{d} = 2.7\left( { \pm 0.2} \right) \times 10^{ - 8}\) m s−1), however, the fitting seems worse for the initial (until around 1e+01 d) and last (since several hundred d) spans in Fig. 8a. The initial span consists of the 30-s sampling high-rate data, of which much noise may lead to artificially large displacement rates. By contrast, during the last span, the deviation of the data from the fitting line possibly reflects change of the dominant mechanism of the postseismic deformation in mid-2013, as implied by a recurrent neural network method for the horizontal components (Yamaga and Mitsui 2019). An enlarged figure (Fig. 8b) with median values of the displacement rates for the time frames emphasizes this fact. Moreover, the data during the last span also slightly deviate from the Maxwellian viscoelastic relaxation simulation (Suito 2017), which implies another mechanism after mid-2013.
a Evolution of the vertical ground displacement rates after the 2011 Tohoku Earthquake. The red dashed line represents the best-fit to the observations based on Eq. (1) using the same \(p_{d}\) and \(c_{d}\) as those in the horizontal case (Fig. 2). The violet dotted line shows a reference time in mid-2013 for possible change of the dominant mechanism of the postseismic deformation (Yamaga and Mitsui 2019). b Enlarged figure for a comparison with the Maxwellian viscoelastic simulation (green points) as Fig. 7. The orange squares represent median values of the displacement rates for each time frame
Spatial distribution of estimated parameters
The spatial p-value distribution provides a hint for discussing postseismic deformation. Figure 9 shows the estimated p-value (\(p_{d}\)) distribution (see Additional file 1: Table S1 for details). The p-values to the southwest of the mainshock fault are generally larger than the value for every stations (0.69), approaching 1. This implies that the additional deformation mechanism for the early span, which is likely (non-Maxwellian) viscoelastic relaxation of the asthenosphere, is disturbed and afterslip (with logarithmic increase in displacement) dominates the postseismic deformation in this southwestern region. The existence of another subducting slab (Philippine Sea Plate) beneath this region may be related to this mutation, as one numerical study showed that the depth extent of the subducting slab strongly influences viscoelastic relaxation (Freed et al. 2017). Another possible origin of the larger p-values in the southwestern region is difference in source depths of the postseismic deformation, which may lead to different rheological properties, as Iinuma et al. (2016) estimated that afterslip (from April 23, 2011, to December 10, 2011) occurred at the shallower plate interface in the southern part than the northern part. By contrast, the p-values around the Echigo Plain (due west of the centroid moment tensor of the 2011 Tohoku Earthquake and along the western coast of Japan) tend to be smaller than the value for every stations (0.69), although the Echigo Plain is far from the source fault of the 2011 Tohoku Earthquake. It might be related to a possible reverse fault with stable sliding beneath the Echigo Plain (Nishimura et al. 2012; Meneses-Gutierrez and Sagiya 2016).
Conclusions
We observed Omori-like decay of the horizontal ground displacement rates following the 2011 Tohoku Earthquake, with a p-value (0.69) that is significantly smaller than that of the observed aftershock occurrence, which is ~ 1. These observations may reflect a contribution of a (non-Maxwellian) viscoelastic relaxation mechanism since immediately after the mainshock, because (rate-and-state) frictional afterslip should be accompanied by a p-value of ~ 1. The spatial p-value distribution at each observation station also supported this conclusion. The decay characteristics of the vertical ground displacement rates were also almost Omori-like, but the data seemed deviated from the fitting line several 100 days after the mainshock which might reflect the change of the dominant mechanism of the postseismic deformation. Analysis of the p-value distribution using continuous time-series data at time scales that span many orders of magnitude would be an important constraint in guiding future viscoelastic models of Earth’s interior.
Availability of data and materials
Please contact the author for data requests.
Abbreviations
- GNSS:
-
Global Navigation Satellite System
- GSI:
-
Geospatial Information Authority of Japan
- JMA:
-
Japan Meteorological Agency
- JST:
-
Japan Standard Time
References
Agata R, Barbot SD, Fujita K et al (2019) Rapid mantle flow with power-law creep explains deformation after the 2011 Tohoku mega-quake. Nat Commun. https://doi.org/10.1038/s41467-019-08984-7
Barker TG (1976) Quasi-static motions near the San Andreas fault zone. Geophys J R Astr Soc 1:689–705. https://doi.org/10.1111/j.1365-246X.1958.tb05351.x
Berber M, Ustun A, Yetkin M (2012) Comparison of accuracy of GPS techniques. Measurement 45:1742–1746. https://doi.org/10.1016/j.measurement.2012.04.010
Bird P (2003) An updated digital model of plate boundaries. Geochem Geophys Geosyst. https://doi.org/10.1029/2001GC000252
Cleveland RB, Cleveland WS, McRae JE, Terpenning I (1990) STL: a seasonal-trend decomposition procedure based on Loess. J Off Stat 6:3–73
Diao F, Xiong X, Wang R et al (2014) Overlapping post-seismic deformation processes: afterslip and viscoelastic relaxation following the 2011 Mw 9.0 Tohoku (Japan) earthquake. Geophys J Int 196:218–229. https://doi.org/10.1093/gji/ggt376
Dieterich J (1994) A constitutive law for rate of earthquake production and its application to earthquake clustering. J Geophys Res 99:2601–2618. https://doi.org/10.1029/93JB02581
Freed AM, Bürgmann R (2004) Evidence of power-law flow in the Mojave desert mantle. Nature 430:548–551. https://doi.org/10.1038/nature02784
Freed AM, Hashima A, Becker TW et al (2017) Resolving depth-dependent subduction zone viscosity and afterslip from postseismic displacements following the 2011 Tohoku-oki, Japan earthquake. Earth Planet Sci Lett 459:279–290. https://doi.org/10.1016/j.epsl.2016.11.040
Friedman JH (1984) A variable span scatterplot smoother. Laboratory for Computational Statistics. Stanford University Technical Report No. 5
Geospatial Information Authority of Japan (2015) GSILIB software. http://datahouse1.gsi.go.jp/gsilib/gsilib.html. Accessed 5 Mar 2020
Gutenberg B, Richter CF (1944) Frequency of earthquakes in California. Bull Seismol Soc Am 34:185–188
Hayes GP, Wald DJ, Johnson RL (2012) Slab1.0: A three-dimensional model of global subduction zone geometries. J Geophys Res. https://doi.org/10.1029/2011jb008524
Heki K, Mitsui Y (2013) Accelerated pacific plate subduction following interplate thrust earthquakes at the Japan trench. Earth Planet Sci Lett 363:44–49. https://doi.org/10.1016/j.epsl.2012.12.031
Heki K, Miyazaki S, Tsuji H (1997) Silent fault slip following an interplate thrust earthquake at the Japan Trench. Nature 386:595–598. https://doi.org/10.1038/386595a0
Helmstetter A, Shaw BE (2009) Afterslip and aftershocks in the rate-and-state friction law. J Geophys Res. https://doi.org/10.1029/2007JB005077
Hsu Y-J, Simons M, Avouac J-P et al (2006) Frictional afterslip following the 2005 Nias-Simeulue earthquake, Sumatra. Science 312:1921–1926. https://doi.org/10.1126/science.1126960
Hu Y, Bürgmann R, Freymueller JT et al (2014) Contributions of poroelastic rebound and a weak volcanic arc to the postseismic deformation of the 2011 Tohoku earthquake. Earth Planets Space 66:106. https://doi.org/10.1186/1880-5981-66-106
Hu Y, Bürgmann R, Uchida N et al (2016) Stress-driven relaxation of heterogeneous upper mantle and time-dependent afterslip following the 2011 Tohoku earthquake. J Geophys Res 121:385–411. https://doi.org/10.1002/2015JB012508
Iinuma T, Hino R, Uchida N et al (2016) Seafloor observations indicate spatial separation of coseismic and postseismic slips in the 2011 Tohoku earthquake. Nat Commun. https://doi.org/10.1038/ncomms13506
Ingleby T, Wright TJ (2017) Omori-like decay of postseismic velocities following continental earthquakes. Geophys Res Lett 44:3119–3130. https://doi.org/10.1002/2017GL072865
Kagan YY, Knopoff L (1981) Stochastic synthesis of earthquake catalogs. J Geophys Res 86:2853–2862. https://doi.org/10.1029/JB086iB04p02853
Lange D, Bedford JR, Moreno M et al (2014) Comparison of postseismic afterslip models with aftershock seismicity for three subduction-zone earthquakes: Nias 2005, Maule 2010 and Tohoku 2011. Geophys J Int 199:784–799. https://doi.org/10.1093/gji/ggu292
Marone CJ, Scholz CH, Bilham R (1991) On the mechanics of earthquake afterslip. J Geophys Res 96:8441–8452. https://doi.org/10.1029/91JB00275
Matsuzawa T, Uchida N, Igarashi T et al (2004) Repeating earthquakes and quasi-static slip on the plate boundary east off northern Honshu, Japan. Earth Planets Space 56:803–811. https://doi.org/10.1186/BF03353087
McCarthy DD, Petit G (2003) IERS Technical Note 32. IERS Conventions 2003
Meneses-Gutierrez A, Sagiya T (2016) Persistent inelastic deformation in central Japan revealed by GPS observation before and after the Tohoku-oki earthquake. Earth Planet Sci Lett 450:366–371. https://doi.org/10.1016/j.epsl.2016.06.055
Mitsui Y, Heki K (2013) Scaling of early afterslip velocity and possible detection of tsunami-induced subsidence by GPS measurements immediately after the 2011 Tohoku-Oki earthquake. Geophys J Int 195:238–248. https://doi.org/10.1093/gji/ggt256
Muto J, Shibazaki B, Iinuma T et al (2016) Heterogeneous rheology controlled postseismic deformation of the 2011 Tohoku-Oki earthquake. Geophys Res Lett 43:4971–4978. https://doi.org/10.1002/2016GL068113
Nakagawa H, Toyofuku T, Kotani K et al (2009) Development and validation of GEONET new analysis strategy (Version 4). J Geogr Surv Inst 118:1–8 (in Japanese)
Nishimura T, Munekane H, Yarai H (2011) The 2011 off the Pacific coast of Tohoku Earthquake and its aftershocks observed by GEONET. Earth Planets Space 63:631–636. https://doi.org/10.5047/eps.2011.06.025
Nishimura T, Suito H, Kobayashi T et al (2012) Crustal deformation in and around the Echigo Plain clarified by geodetic observation across the Niigata-Kobe Tectonic Zone. Zisin 64:211–222 (in Japanese with English abstract)
Nur A, Mavko G (1974) Postseismic viscoelastic rebound. Science 183:204–206. https://doi.org/10.1126/science.183.4121.204
Ogata Y (1988) Statistical models for earthquake occurrences and residual analysis for point processes. J Am Stat Assoc 83:9–27
Omori F (1894) On the aftershocks of earthquakes. J Coll Sci Imp Univ Tokyo 7:111–120
Ozawa S, Suito H, Nishimura T et al (2007) Possibility of recovery of slip deficit rate between the North American plate and the Pacific plate off Sanriku, northeast Japan. Geophys Res Lett. https://doi.org/10.1029/2007gl030477
Ozawa S, Nishimura T, Munekane H et al (2012) Preceding, coseismic, and postseismic slips of the 2011 Tohoku earthquake. J Geophys Res, Japan. https://doi.org/10.1029/2011jb009120
Perfettini H, Avouac J-P (2004) Postseismic relaxation driven by brittle creep: a possible mechanism to reconcile geodetic measurements and the decay rate of aftershocks, application to the Chi-Chi earthquake, Taiwan. J Geophys Res. https://doi.org/10.1029/2003JB002488
Segall P (2010) Earthquake and volcano deformation. Princeton University Press, Princeton
Sobolev SV, Muldashev IA (2017) Modeling seismic cycles of great megathrust earthquakes across the scales with focus at postseismic phase. Geochem Geophys Geosyst 18:4387–4408. https://doi.org/10.1002/2017GC007230
Suito H (2017) Importance of rheological heterogeneity for interpreting viscoelastic relaxation caused by the 2011 Tohoku-Oki earthquake. Earth Planets Space 69:21. https://doi.org/10.1186/s40623-017-0611-9
Suito H, Nishimura T, Tobita M, Imakiire T, Ozawa S (2011) Interplate fault slip along the Japan Trench before the occurrence of the 2011 off the Pacific coast of Tohoku Earthquake as inferred from GPS data. Earth Planets Space 63:615–619. https://doi.org/10.5047/eps.2011.06.053
Sun T, Wang K, Iinuma T et al (2014) Prevalence of viscoelastic relaxation after the 2011 Tohoku-oki earthquake. Nature 514:84–87. https://doi.org/10.1038/nature13778
Thatcher W (1983) Nonlinear strain buildup and the earthquake cycle on the San Andreas Fault. J Geophys Res 88:5893–5902. https://doi.org/10.1029/JB088iB07p05893
Utsu T (1957) Magnitude of earthquakes and occurrence of their aftershocks. Zisin J Seismol Soc Jpn 10:35–45
Wang K, Hu Y, He J (2012) Deformation cycles of subduction earthquakes in a viscoelastic Earth. Nature 484:327–332. https://doi.org/10.1038/nature11032
Watanabe S, Sato M, Fujita M et al (2014) Evidence of viscoelastic deformation following the 2011 Tohoku-oki earthquake revealed from seafloor geodetic observation. Geophys Res Lett 41:5789–5796. https://doi.org/10.1002/2014GL061134
Yamaga N, Mitsui Y (2019) Machine learning approach to characterize the postseismic deformation of the 2011 Tohoku-oki earthquake based on recurrent neural network. Geophys Res Lett 46:11886–11892. https://doi.org/10.1029/2019GL084578
Yamagiwa S, Miyazaki S, Hirahara K, Fukahata Y (2015) Afterslip and viscoelastic relaxation following the 2011 Tohoku-oki earthquake (Mw 9.0) inferred from inland GPS and seafloor GPS/Acoustic data. Geophys Res Lett 42:66–73. https://doi.org/10.1002/2014GL061735
Acknowledgements
We thank Makoto Naoi, Takahiko Uchide, and Takeshi Sagiya for fruitful discussion. We also appreciate Hisashi Suito for providing the simulation results and Naofumi Takamatsu for helping the GSILIB analysis. Comments from three reviewers and the editor, Tomokazu Kobayashi, improved our paper. We used the daily displacement solutions of the GEONET array (available at http://datahouse1.gsi.go.jp/terras/terras_english.html), and the hypocenter catalog (available at https://www.data.jma.go.jp/svd/eqev/data/bulletin/hypo_e.html), provided by GSI and JMA. The 30-s RINEX files were also provided by GSI.
Funding
This study was supported by the Japan Society for the Promotion of Science (JSPS) KAKENHI, Grant Numbers JP16H06477 and JP19K04036.
Author information
Authors and Affiliations
Contributions
SM analyzed the original data and discussed the results. YM discussed the results and wrote the paper. Both authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare that they have no competing interests.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Additional file 1: Table S1.
Results of the Omori-like fitting for the horizontal displacement rates at each GNSS station.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Morikami, S., Mitsui, Y. Omori-like slow decay (p < 1) of postseismic displacement rates following the 2011 Tohoku megathrust earthquake. Earth Planets Space 72, 37 (2020). https://doi.org/10.1186/s40623-020-01162-w
Received:
Accepted:
Published:
DOI: https://doi.org/10.1186/s40623-020-01162-w
Keywords
- Omori law
- GNSS
- Postseismic deformation
- Aftershocks
- Viscoelastic relaxation