LETTER Earth Planets Space, 63, 731735, 2011
Takeo Ishibe, Kunihiko Shimazaki, Kenji Satake, and Hiroshi Tsuruoka
Earthquake Research Institute, the University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo 113-0032, Japan
(Received April 8, 2011; Revised May 28, 2011; Accepted June 2, 2011; Online published September 27, 2011)
Static changes in the Coulomb Failure Function ( CFF) forecast an increase in seismicity in and around the Tokyo metropolis after the 2011 off the Pacic coast of Tohoku Earthquake (magnitude 9.0). Among the 30,694 previous events in this region with various depth and focal mechanism, almost 19,000 indicate a signicant increase of the CFF, while less than 6,000 indicate a signicant decrease. An increase in seismicity is predicted in southwestern Ibaraki and northern Chiba prefectures where intermediate-depth earthquakes occur, and in the shallow crust of the Izu and Hakone regions. A comparison of seismicity before and after the 2011 event reveals that the seismicity in the above regions indeed increased as predicted from the CFF.
Key words: 2011 off the Pacic coast of Tohoku Earthquake, static change in the Coulomb Failure Function ( CFF), Tokyo metropolitan area, seismicity.
1. Introduction
On March 11, 2011, a giant interplate earthquake with magnitude (M) 9.0, which was named the 2011 off the Pacic coast of Tohoku Earthquake by the Japan Meteorological Agency (JMA), struck Japan and caused a huge tsunami along the coast of the Japanese Islands. This earthquake, which we will call the Tohoku-oki earthquake for simplicity, was the largest in Japan since the start of modern instrumental observation. It was accompanied by active aftershocks in and around the source region and also by two damaging shallow crustal earthquakes more than 400 km away from the epicenter: an earthquake near the boundary between Nagano and Niigata prefectures on March 12 (M 6.7) and another in the eastern part of Shizuoka prefecture on March 15 (M 6.4). This suggests that the Tohokuoki earthquake probably caused seismicity rate changes and may trigger large earthquakes in surrounding regions.
The metropolis of Tokyo is located 300 km away from the epicenter of the Tohoku-oki earthquake, and is situated in a high seismicity region, called the Kanto region, where earthquakes with various focal mechanisms have occurred because of its complex tectonics; the Pacic plate (PAC) is subducting from the East, and Philippine Sea plate (PHS) is subducting from the South beneath the Kanto region (Fig. 1). It is very likely that some of these earthquakes may t the type of focal mechanism that is effectively induced by the Tohoku-oki earthquake.
Furthermore, the probability of a large (M 7) earth
quake in the Kanto region is high; the Earthquake Research
Committee (2004) calculated the probability of earthquake occurrence during the next 30 years as 70%, based on ve
Copyright c
[circlecopyrt] The Society of Geomagnetism and Earth, Planetary and Space Sci
ences (SGEPSS); The Seismological Society of Japan; The Volcanological Society of Japan; The Geodetic Society of Japan; The Japanese Society for Planetary Sciences; TERRAPUB.
doi:10.5047/eps.2011.06.001
Change in seismicity beneath the Tokyo metropolitan area due to the 2011 off the Pacic coast of Tohoku Earthquake
M 7 earthquakes since 1885 (Ishibe et al., 2009a, b).
The Japanese government estimates up to 11,000 fatalities and economic losses of 112 trillion yen (about 1.3 trillion US$) if a large interplate earthquake (M 7.3) were to occur in northern Tokyo Bay.
This paper examines whether or not the seismicity increased in the Kanto region due to the great Tohokuoki earthquake by calculating the static changes in the Coulomb Failure Function ( CFF) (e.g., Stein et al., 1992; Reasenberg and Simpson, 1992; Toda et al., 1998) for 30,694 previously observed receiver focal mechanisms. The CFF is dened as CFF = , where
is the shear stress changes resolved on a given failure plane (dened as positive in the fault slip direction), is the normal stress changes (dened as positive in the compressive direction), and is the effective coefcient of friction. Positive CFF values promote failures; negative values suppress failures.
2. Method and Data
We calculated the CFF for receiver faults estimated from focal mechanism solutions of the past events because various types of earthquakes occur in the Kanto region. Utilizing the available focal mechanisms of past earthquakes as receiver faults proved to be effective for estimating CFF (e.g., Imanishi et al., 2006; Toda, 2008; Ishibe et al., 2011). In calculating CFF, we assumed an elastic half-space, an apparent coefcient of friction of 0.4, a shear modulus of40 GPa, and a Poissons ratio of 0.25.
We excluded small and large absolute values of CFF. For a small absolute value, the sign can easily reverse due to errors in hypocentral locations and focal mechanisms; hence we excluded absolute CFF values less than 0.1 bars, the minimum threshold commonly associated with static stress triggering (e.g., Hardebeck et al., 1998). Extremely high absolute CFF values (| CFF| 15 bars) obtained
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732 T. ISHIBE et al.: STRESS CHANGES DUE TO THE 2011 OFF THE PACIFIC COAST OF TOHOKU, JAPAN, EARTHQUAKE
Fig. 1. Variable slip model of the Tohoku-oki Earthquake (black contour) based on continuous Global Positioning System (GPS) observation (Ozawa, personal communication). The black and white stars indicate the epicenters of the mainshock (M 9.0), and large aftershocks (M 7.0) that occurred within 40 minutes. GPS observation data in
cluding this period was used to estimate coseismic displacement. The orange and yellow stars indicate the epicenters of the earthquake near the boundary between Nagano and Niigata prefectures of March 12 (M 6.7), and the Eastern Shizuoka earthquake of March 15 (M 6.4) from the JMA PDE catalog. The focal mechanisms are based on JMA. The green circles indicate the epicenters of earthquakes occurring within seven days after the mainshock (M 3.0, depth 100 km). The
dashed-rectangle region is the target region where the CFF values were calculated. The thin line indicates the boundary between prefectures.
near the source fault were also excluded because these may have large uncertainties caused by simplied source geometry and/or slip distribution.
For the source fault, a variable slip model of the Tohokuoki earthquake (Ozawa, personal communication; Fig. 1), based on continuous Global Positioning System (GPS) observation, was used to calculate CFF. As the receiver faults, we used the 30,694 focal mechanism solutions determined from the initial motion by the National Research Institute for Earth Science and Disaster Prevention (NIED) from July 1979 to July 2003 (Matsumura and Observation and Research Group of Crustal Activities in the Kanto-Tokai District, 2002). Because we do not know which of the two nodal planes an actual receiver fault is on, we repeated our analysis for the rst and second nodal planes in their catalog. The Preliminary Determined Earthquake (PDE) catalog from February 1, 2011, to April 1, 2011, provided by JMA on April 2 was used to examine whether or not the forecast seismicity changes actually took place. We also used the TSEIS visualization program package (Tsuruoka, 1998) for the study of hypocenter data.
3. Result and Discussion
Among the past earthquakes we examined, those with positive CFF values outnumbered those with negative values. For the entire data set, there were 18,790 (1st nodal
Fig. 2. (a) Focal mechanism distribution of earthquakes with positive
CFF (M 5.0, depth 100 km). The black lines indicate the
nodal planes on which we have resolved CFF. (b) Focal mechanism distribution of earthquakes with negative CFF (M 5.0, depth
100 km).
plane)/18,828 (2nd nodal plane) earthquakes with positive CFF, and 5,677 (1st nodal plane)/5,850 (2nd nodal plane) with negative CFF. This suggests that seismicity in the Kanto region will increase as long as earthquakes with the same focal mechanisms continue to occur. Since the ratios of the number of earthquakes with positive CFF to the number with negative CFF are almost identical for both the magnitude thresholds and nodal planes (Table 1), the results for the rst nodal plane will be illustrated in the gures.
The increase in seismicity does not necessarily mean that all of the regions will become active. Earthquakes at some depths with some focal mechanisms have positive CFF values while others have negative values (Fig. 2). The positive events (Fig. 2(a)) are concentrated in southwestern Ibaraki prefecture and in the Izu region. For the negative events (Fig. 2(b)), no such geographical concentration can be seen. In southwestern Ibaraki prefecture, the two types of focal mechanisms are mixed: shallower earthquakes with interplate motion between Kanto and the underthrusting PHS, and deeper interslab earthquakes between PHS and PAC. The focal mechanism in the Izu region includes both strike-slip and normal faulting.
As a simple indicator for relative activation or quiescence, we calculated the percentage of positive CFF val-
T. ISHIBE et al.: STRESS CHANGES DUE TO THE 2011 OFF THE PACIFIC COAST OF TOHOKU, JAPAN, EARTHQUAKE 733
Table 1. Number of earthquakes with positive/negative/insignicant or high absolute CFFs as a function of threshold magnitudes.
Threshold magnitude Positive CFF Negative CFF Insignicant or high absolute CFF Total number 1st nodal plane2.0 18790 (61.2%) 5677 (18.5%) 6227 (20.3%) 306942.5 11992 (59.3%) 3935 (19.5%) 4288 (21.2%) 202153.0 5811 (58.6%) 2002 (20.2%) 2100 (21.2%) 99133.5 2527 (59.9%) 873 (20.7%) 819 (19.4%) 42194.0 995 (59.5%) 365 (21.8%) 312 (18.7%) 16724.5 354 (57.1%) 158 (25.5%) 108 (17.4%) 6205.0 90 (53.6%) 50 (29.8%) 28 (16.7%) 168 2nd nodal plane2.0 18828 (61.3%) 5850 (19.1%) 6016 (19.6%) 306942.5 11771 (58.2%) 4211 (20.8%) 4233 (20.9%) 202153.0 5638 (56.9%) 2142 (21.6%) 2133 (21.5%) 99133.5 2395 (56.8%) 929 (22.0%) 895 (21.2%) 42194.0 942 (56.3%) 392 (23.4%) 338 (20.2%) 16724.5 336 (54.2%) 161 (26.0%) 123 (19.8%) 6205.0 81 (48.2%) 53 (31.5%) 34 (20.2%) 168
Fig. 3. (a) Percentage of earthquakes with positive CFF among all of the earthquakes with signicant changes in each 0.3-degree grid square for a depth of 0 to 30 km. The red (blue) regions are expected to be activated (deactivated) by the CFF due to the Tohoku-oki earthquake. The grid squares surrounded by thick lines indicate that more than 100 focal mechanism solutions are available. (b) Percentage for a depth of 30 to 100 km.(c) Epicentral distribution during the three weeks after the mainshock (M 1.0, depth 30 km). The rectangular regions (AD) indicate regions
where the earthquakes were extracted for Fig. 4. (d) Epicentral distribution during the three weeks after the mainshock (M 1.0, 30 km < depth
100 km).
ues among all of the earthquakes with signicant changes in each grid with 0.3-degree spacing (Fig. 3). If it is 0%/100%, the CFF for all of the earthquakes are negative/positive. If it is more than 50%, the number of pos-
itive CFF values is greater than the number of negative CFF values. When adequate focal mechanisms of past earthquakes are available, this indicates that the seismicity rate is expected to increase.
734 T. ISHIBE et al.: STRESS CHANGES DUE TO THE 2011 OFF THE PACIFIC COAST OF TOHOKU, JAPAN, EARTHQUAKE
Fig. 4. Cumulative frequency curves and magnitude-time diagrams from February 1 to April 1 in the areas of (A) Izu, (B) Hakone, (C) northern Chiba prefecture, and (D) southwestern Ibaraki prefecture. The gray zone indicates possible intervals with a higher magnitude threshold.
Among the grid squares with a large number of focal mechanism solutions, we chose four areas (A, B, C, and D in Fig. 3) for verication of the predicted increase in seismicity. In all areas, the seismicity increase after the giant event is signicant (Fig. 4). In the Izu region (area A), an active earthquake swarm took place in early February, while in northern Chiba prefecture (C), less active swarm-like activity occurred in the middle of the month. The increase in seismicity indicates that the seismicity rate changes in small earthquakes are fundamentally well-explained by the CFF due to the Tohoku-oki earthquake. The increase in seismicity implies an increase in the occurrence probability of large earthquakes in these areas. However, forecasting large induced earthquakes is not straightforward because large earthquakes are less frequent and the background stress levels for individual events are critical.
The correlation between a decrease in seismicity and areas with negative CFF, called the stress shadow, might be a topic of discussion. However, unlike seismicity increases, it is difcult to distinguish whether a decrease in seismicity is actual or articial because the detection capability of small events may be lowered just after a great earthquake (e.g., Ogata and Katsura, 2006). The magnitude threshold in the PDE catalog is temporally higher, presumably because the determination of the hypocenters was delayed due to occurrences of a large number of earthquakes after March 11.
Earthquakes of a previously unknown type took place in northern Ibaraki prefecture. The focal mechanisms in this cluster are dominantly normal-type, with the T -axis in the E-W direction, presumably induced by the extension of the upper plate in the gigantic thrusting. Since earthquakes
with this type of mechanism are not seen in the focal mechanism catalog of past events, our method cannot forecast them. The method used in this study is entirely based on the assumption that the focal mechanisms of past and future events are similar.
There are some other possible factors that may affect seismicity rate changes and/or occurrences of large earthquakes. The rst is the contribution of dynamic stress changes (e.g., Hill et al., 1993; Anderson et al., 1994). The Izu and Hakone regions are sites of geothermal and recent volcanic activities, and the resulting dynamic stress changes might be important for earthquake triggering just after the mainshock. The second factor is pore pressure change. An acceleration of slip at the deeper plate boundary might cause excess uid dehydration, affecting the seismicity in a tiny volume of the region studied. The third factor is the contribution of post-seismic slip along the plate boundary and large aftershocks, although the slip of aftershocks that occurred just after the mainshock is included.
Our results are based on a preliminary source model and the earthquake catalog. Various fault models based on the tsunami waveform, far-eld body waves, strong motion seismographs, and others are now being proposed and updated. In addition, the progress of signicant afterslip is suggested, based on GPS observation. The PDE catalog that was used for post-mainshock seismicity will be revised later. Therefore, the correlation between the CFF and changes in the seismicity rate should be re-examined using the nal catalog and updated fault models. However, these would not affect the main results of this study.
4. Concluding Remarks
An increase in seismicity in the Kanto region after the Tohoku-oki earthquake was forecast on the basis of calculation of 30,694 static changes in the Coulomb Failure Function ( CFF). Almost 19,000 focal mechanisms of previous events in this region indicate a signicant increase in CFF compared with less than 6,000 that indicate a signicant decrease. However, the areas where active seismicity is predicted are mainly in the southwestern Ibaraki and northern Chiba prefectures, where intermediate-depth earthquakes occur, and in the shallow crustal areas of the Izu and Hakone regions. A comparison of seismicity before and after the giant event shows that our method successfully predicted the activation of seismicity.
Acknowledgments. We thank Drs. Ross S. Stein and Kei Katsumata who gave us thoughtful and relevant comments and suggestions to improve this paper, and Prof. Kiyoshi Yomogida for editing. We used a variable slip model of the 2011 off the Pacic coast of Tohoku Earthquake provided by Dr. Shinzaburo Ozawa of the Geospatial Information Authority of Japan, a preliminary determined earthquake catalog from JMA, and focal mechanisms provided by NIED. We also used the Generic Mapping Tools (Wessel and Smith, 1998) for drawing gures and the subroutine program by Okada (1992) for calculating CFF. We thank all of these organizations and persons. This study was partially supported by the Observation and Research Program for Prediction of Earthquakes and Volcanic Eruptions, and the Special Project for Earthquake Disaster Mitigation in the Tokyo Metropolitan Area from the Ministry of Education, Culture, Sports, Science and Technology (MEXT) of Japan.
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The Society of Geomagnetism and Earth, Planetary and Space Sciences, The Seismological Society of Japan 2011
Abstract
Static changes in the Coulomb Failure Function ([Delta]CFF) forecast an increase in seismicity in and around the Tokyo metropolis after the 2011 off the Pacific coast of Tohoku Earthquake (magnitude 9.0). Among the 30,694 previous events in this region with various depth and focal mechanism, almost 19,000 indicate a significant increase of the [Delta]CFF, while less than 6,000 indicate a significant decrease. An increase in seismicity is predicted in southwestern Ibaraki and northern Chiba prefectures where intermediate-depth earthquakes occur, and in the shallow crust of the Izu and Hakone regions. A comparison of seismicity before and after the 2011 event reveals that the seismicity in the above regions indeed increased as predicted from the [Delta]CFF.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer