- Letter
- Open Access

# Conceptual multi-scale dynamic rupture model for the 2011 off the Pacific coast of Tohoku Earthquake

- Hideo Aochi
^{1}Email author and - Satoshi Ide
^{2}

**63**:46

https://doi.org/10.5047/eps.2011.05.008

© The Society of Geomagnetism and Earth, Planetary and Space Sciences (SGEPSS); The Seismological Society of Japan; The Volcanological Society of Japan; The Geodetic Society of Japan; The Japanese Society for Planetary Sciences; TERRAPUB. 2011

**Received:**7 April 2011**Accepted:**11 May 2011**Published:**27 September 2011

## Abstract

We present conceptual dynamic rupture models for the 2011 Tohoku Earthquake based on multi-scale heterogeneity in fracture energy. Regardless of frequently-occurring *M* 7.5 events in this area, it is significant that a large-scale fault heterogeneity corresponding to a *M* 9 event had not been clearly recognized until this earthquake. We show that the largest heterogeneity having a high fracture energy is consistent with the relatively slow rupture propagation of the Tohoku Earthquake. The large gap in fracture energy explains the separation of two groups of waves clearly visible in observed ground motions. Our simulations favour a cascading rupture that begins from a medium heterogeneity and then progresses over larger scale heterogeneity.

## Key words

- 2011 Tohoku Earthquake
- multi-scale
- dynamic rupture
- heterogeneity
- ground motion

## 1. Introduction

The 2011 off the Pacific coast of Tohoku Earthquake, or simply the Tohoku Earthquake, is astonishing in various ways. Speaking seismologically, due to the frequent occurrence of *M* ~ 7.5 events along the Japan Trench in northeastern Japan during the last century, it might have been generally accepted that such a series of events characterize regional fault behavior, without considering the possibility of *M* 9 events. Outside of these modestly-locked sections, or asperities, characterizing *M* ~ 7.5 events, one tends to think that the plate convergence should be relaxed by aseismic slip. However we have learnt that this is not true, although phenomenologically, specifically kinemati-cally, it might not be impossible to model this *M* 9 event using interactive medium-size asperities corresponding to *M* 7.5 events.

We have previously proposed multi-scale heterogeneity in fracture energy using circular patches of different sizes on the fault plane. The multi-scalability is necessary to explain the scaling relation between small and large earthquakes and average propagation velocity smaller than the shear-wave velocity (Aochi and Ide, 2004; Ide and Aochi, 2005). Rupture in the existence of such heterogeneity produces a type of cascade growth (Ide and Aochi, 2005) and complexity in seismic cycles (Aochi and Ide, 2009). We show that this is a key concept in understanding the Tohoku Earthquake by presenting dynamic models which start from rupture on a medium patch and which then migrates into a larger patch. Once the rupture develops on a larger scale, smaller heterogeneity no longer plays a principal role in rupture growth. Recently dynamic rupture inversion to obtain frictional or stress parameters has become possible (Peyrat et al., 2004; Di Carli et al., 2010), but the number of parameters is still limited (around 10, i.e. two asperities on a fault plane). Hence, the purpose of this study is not to calibrate the parameters so as to perfectly fit the ground motion observation, but to demonstrate that a conceptual dynamic model can explain the overall behavior of this *M* 9 event.

## 2. Models and Numerical Method

We simply discretize fault heterogeneity using circular patches of different sizes. To account for the fractal nature of faults, the number of patches of radius *r*_{
n
} is assumed to follow a power law,
. We assume that fracture energy is proportional to patch size and that the stress state is almost homogeneous, which means that the critical slip-weakening distance *D*_{c} is scale-dependent adopting a linear slip-weakening friction law with uniform breakdown strength drop (Ide and Aochi, 2005): *D*_{c} ∝ *r*_{n}. To simplify calculations in this paper, we consider 4 grades of scale by taking *r*_{1} = 100 km, *r*_{2} = 50 km, *r*_{3} = 25 km, and *r*_{4} = 12.5 km, with corresponding values of *D*_{c} of 1.6, 0.8, 0.4, and 0.2 m and the expected number of patches of 1, 4, 16, and 64, respectively. These numbers of patches are statistically indicative, as the patch density remains arbitrary. What is essential is the existence of the largest patch behind any medium size patches. As there exists a geological limit of the seismogenic zone depth (fault width), it is reasonable to take an ellipse instead of a circle for the largest patch of *r*_{1}. Thus their major and minor axes are 175 km and 57 km, respectively, for the same surface area.

For modeling spontaneous dynamic rupture processes, we use a 3D boundary integral equation method (BIEM) (Fukuyama and Madariaga, 1995) assuming an infinite, homogeneous elastic medium. Although the rupture most likely broke the free surface near the trench, we keep the model simple and ignore the effect of the free surface. We prepare a volume of 114 km (parallel to the fault slip and dip directions) and 350 km (perpendicular to the fault slip and strike directions). For this preliminary computation, we use an element size of 2 km, which is much larger than our usual simulations. A value of *D*_{c} less than 40 cm is not numerically appropriate in this framework. Thus, we assume the minimum *D*_{c} as 60 cm and an initial crack of radius 5–12 km, which cannot represent a true cascade-rupture growth from a very tiny nucleus as shown in Ide and Aochi (2005) and Aochi and Ide (2009). We assume a *P*-wave velocity of 6 km/s, an *S*-wave velocity of 3.46 km/s and a material rigidity of 30 GPa. The time step of simulations is 0.167 s. We calculate up to 800 steps (= 133 s). We use parallel computing employing MPI-OpenMP (Aochi and Dupros, 2011) to obtain high-performance on multi-core structures.

We impose a breakdown strength drop of 10 MPa as default. Hereafter, our discussion considers only relative stress with respect to an initial shear stress which is taken to be zero, since absolute stress is meaningless under conditions of a planar fault in an infinite medium. We study the variation of patch distributions and strength distribution *τ*_{p} corresponding to stress excess (= strength − initial stress). For later discussions, the projection of the fault plane assumed in this study is geographically shown in Fig. 1, by fixing the hypocenter location at (142.861°E, 38.103°N, 23.7 km) determined by the Japan Meteorological Agency (JMA) and the fault plane of (strike, dip) = (201°, 9°) after the Global CMT solution. The rake is fixed as 90°.

## 3. Parameter Investigation and Results

*D*

_{c}= 1.6 m, since the elastic system requires a critical crack of a certain dimension. It is possible to investigate theoretically this instability (Shibazaki and Matsu’ura, 1992; Madariaga and Olsen, 2000), but our rapid numerical tests report that a radius of 20 km is required for

*τ*

_{p}= 6 MPa, as shown in Model A in Fig. 2. This starting process within a diameter of 40 km might be a quasi-static nucleation and/or dynamic cascade process. It has not been reported to our knowledge that any quasi-static nucleation process occurred just before the mainshock. However, the foreshock of

*M*7.4 on 9th March 2011 might result in such a nucleus, because the typical size of an

*M*7.4 event is about 50 km. Although the mechanism of the preparation process is an important topic, in this study we are interested only in the dynamic cascade process which can be observed by strong ground motion data.

*M*9 patch. The variation in stress field controls the rupture velocity, and thus the event duration. For the same patch distribution, a stress excess of

*τ*

_{p}= 6 MPa (Model B) and 5 MPa (Model B2) are compared. We observe that this variation plays a bigger role after the rupture begins propagating on the largest patch. We then vary the stress field between Models C and D; the latter of which assumes

*τ*

_{p}= 6.66 MPa on the largest patch instead of the homogeneous condition of

*τ*

_{p}= 6 MPa. The effect is significant in rupture velocity and duration, and produces a trough after the first small peak at around 20 s, which may separate two groups of waves clearly visible in observed strong motion. Such heterogeneity can be likely, as the existence of foreshock activity implies ease of initiating rupture around the hypocenter area.

In our simple system, all the simulations finish with moment magnitudes between 8.5 and 8.6 and a maximum slip of about 10–12 m. These are smaller than that generally reported for this earthquake. In our model, the ruptured area is strictly limited by the largest patch assumed, surrounded by an unbreakable barrier in all directions. However, the dimension of the largest patch is only indicative. The fault area may be surrounded not by a barrier but by an aseismic slip zone or other patches. If the rupture broke the free surface near the trench, the free surface can enhance the rupture near the surface and a much larger fault slip could be expected. It should also be noted that final slip depends on the assumed stress drop, namely twice the stress drop results in twice the slip. Thus obtaining 20 m of slip and, consequently, a magnitude of 9 is not difficult from the viewpoint of dynamic rupture. However, since our purpose is the qualitative demonstration of rupture growth, we leave the quantitative estimation of fault properties for future work.

## 4. Perspective and Conclusion

We have shown how it could be possible for the Tohoku Earthquake to have been launched and propagated from the point of view of a dynamic rupture process. Although there may have been a long-term preparation in advance, a dynamic process observable in ground motion can be represented by a cascade growth. The transition between two different scale patches is consistent with the two groups of waves we observe in the ground motion. The existence of a larger heterogeneity (having larger *D*_{c}) explains relatively uniform and slow rupture propagation over the whole fault length. Our previous model allows the existence of numerous patches, but here we have used the minimum number of patches. This is because we focus on the developing process of dynamic rupture and because small patches do not play significant roles in rupture propagation once the larger patch is broken. However, this could be a necessary modification in order to explain the high-frequency radiation observed in the acceleration. In particular, kinematic inversion indicates another peak in the moment release rate at 140–150 s, and this can originate from a medium-size patch in the south, off shore of Ibaraki.

^{3}with a grid spacing of 500 m. Figure 5 shows a snapshot of ground motion for Model D. The first radiation originates from the initial rupture process (until 60 s), and then, accompanied by the main rupture propagation, the strongest phase propagates along the whole fault length. Our simple dynamic rupture model is not yet quantitatively embrace the ground motion data in terms of absolute timing and amplitude of phases, as we need further calibration of fault geometries (including the epicenter and the fault plane), and dynamic parameters. However, it is always useful to compare seismograms with observations to investigate further (Fig. 5). As expected from the determined source time functions shown in Fig. 4, Model B generates a rapidly propagating wave packet, while in Models C and D, we observe two significant phases around the epicenter latitude (more visibly in Model C at MYG003), the delayed main phase in the south (Ibaraki prefecture), and the long duration of ground motion in the Kanto plain (Chiba prefecture). Model A also leads to two phases, but we should be careful in interpreting this because the rupture is forced to brutally initiate over a large area. The Model A phases may not be suitable as such an initiation process. None of the models is able to explain the large amplitude of the second phase observed around Miyagi and Iwate prefectures and it is important to seek a explanation for this in future studies.

In this paper, we present our considerations soon after the March 11th earthquake. We think that the mechanism of the Tohoku Earthquake is better explained by cascade-rupture growth from a medium size patch to the largest patch rather than by interactions between a few large asperities. Nevertheless,

we are not sure whether it is appropriate to model the largest scale as a big locked patch. Compared to the kinematic convergence of a plate of 100 m during 1000 years (plate speed 10 cm/year), the coseismic the slip of 10–20 m is still small. It may be expected that the rest of slip is released aseismically. The dynamics of the largest patch might be different from an asperity with 100% coupling. Anyway, it is regrettable that the largest patch had not been appropriately recognized before the earthquake.

## Declarations

### Acknowledgments

The calculations by the BIEM and FDM were carried out at the French national computing center GENCI-CINES (grant 2011-46700). For the discussion, we used the acceleration data of K-net and KiK-net) from the National Research Institute for Earth Science and Disaster Prevention, Japan. We thank John Douglas, Jeff McGuire, an anonymous reviewer and the editor for improving our manuscript.

## Authors’ Affiliations

## References

- Aochi, H. and J. Douglas, Testing the validity of simulated strong ground motion from dynamic rupture of a finite fault, by using empirical equations,
*Bull. Earthq. Eng*.,**4**, 211–229, 2006.View ArticleGoogle Scholar - Aochi, H. and F. Dupros, MPI-OpenMP hybrid simulations using boundary integral equation and finite difference methods for earthquake dynamics and wave propagation: Application to the 2007 Niigata Chuetsu-Oki earthquake (Mw6.6), International Conference on Computational Science, 2011 (accepted).Google Scholar
- Aochi, H. and S. Ide, Numerical study on multi-scaling earthquake rupture, Geophys. Res. Lett., 31(2), doi:10.1029/2003GL018708, 2004.Google Scholar
- Aochi, H. and S. Ide, Complexity in earthquake sequences controlled by multi-scale heterogeneity in fault fracture energy,
*J. Geophys. Res*.,**114**, B03305, doi:10.1029/2008JB006034, 2009.Google Scholar - Di Carli, S., C. François-Holden, S. Peyrat, and R. Madariaga, Dynamic inverion of the 2000 Tottori earthquake based on elliptical subfault approximations,
*J. Geophys. Res*.,**115**, B12328, doi:10.1029/2009JB006358, 2010.View ArticleGoogle Scholar - Fujiwara, H., S. Kawai, S. Aoi, N. Morikawa, S. Senna, N. Kudo, M. Ooi, K. X. Hao, Y. Hayakawa, N. Toyama, H. Matsuyama, K. Iwamoto, H. Suzuki and Y. Liu, A study on subsurface structure model for deep sedimentary layers of Japan for strong-motion evaluation, Tech. Note of National Research Institute for Earth Science and Disaster Prevention, 337, 2009.Google Scholar
- Fukuyama, E. and R. Madariaga, Integral equation method for a plane crack with arbitrary shape in 3D elastic media,
*Bull. Seismol. Soc. Am*.,**85**, 614–628, 1995.Google Scholar - Ide, S. and H. Aochi, Earthquakes as multiscale dynamic ruptures with heterogeneous fracture surface energy,
*J. Geophys. Res*.,**110**, B11303, doi:10.1029/2004JB003591, 2005.View ArticleGoogle Scholar - Ide, S., A. Baltay, and G. C. Beroza, Shallow dynamic overshoot and energetic deep rupture in the 2011 Mw 9.0 Tohoku-Oki earthquake, Science, doi:19.1126/science.1207020, 2011.Google Scholar
- Madariaga, R. and K. B. Olsen, Criticality of rupture dynamics in 3-D,
*Pure Appl. Geophys*.,**157**, 1981–2001, 2000.View ArticleGoogle Scholar - Peyrat, S., K. B. Olsen, and R. Madariaga, Which dynamic parameters can be estimated from strong ground motion?,
*Pure Appl. Geophys*.,**161**, 2155–2169, 2004.View ArticleGoogle Scholar - Shibazaki, B. and M. Matsu’ura, Spontaneous processes for nucleation, dynamic propagation, and stop of earthquake rupture,
*Geophys. Res. Lett*.,**19**, 1189–1192, 1992.View ArticleGoogle Scholar