Earth, Planets and Space

, 68:149 | Cite as

Systematic difference between first-motion and waveform-inversion solutions for shallow offshore earthquakes due to a low-angle dipping slab

  • Shunsuke Takemura
  • Katsuhiko Shiomi
  • Takeshi Kimura
  • Tatsuhiko Saito
Open Access
Letter
Part of the following topical collections:
  1. 4. Seismology

Abstract

Systematic difference between first-motion and waveform-inversion solutions for shallow offshore earthquakes was examined by using the seismograms of the 2016 Off Mie (Mw 5.8) earthquake occurred at a depth of 14 km southeast off of the Kii peninsula, central Japan. Observed seismograms illustrated first arrivals with an apparent velocity of 7.2 km/s, which is faster than crustal P waves. The apparent velocity and polarization pattern of the first arrivals were reproduced by a finite-difference method simulation incorporating the three-dimensional Philippine Sea slab. The first arrivals consist of P waves radiated downward from the source, passing the oceanic Moho as head waves. Thus, a first-motion analysis, assuming a one-dimensional structure, causes incorrect estimations of the focal mechanisms and hypocenter depths, which tend to be deeper than the actual ones. Our result possibly indicates that the seismicity above the oceanic Moho was underestimated in the previous catalogs.

Keywords

Focal mechanism First-motion polarization Head wave Nankai Trough Philippine Sea slab 

Introduction

The Philippine Sea slab (PHS) is subducting beneath southwestern Japan along the Nankai Trough at a rate of 2–6 cm per year (e.g., Seno et al. 1993; Heki and Miyazaki 2001). Due to the subduction of the PHS, large (M > 8) interplate earthquakes repeatedly occurred at recurrence intervals of approximately 100–150 years (e.g., Ando 1975). Indeed, in this area, a slip deficit was widely documented based on GPS Earth Observation Network (GEONET) and seafloor geodetic observations (e.g., Hashimoto et al. 2004; Yokota et al. 2016). This means that stress is being accumulated in preparation for future large earthquakes. On the basis of the current slip deficit rate and assuming other geophysical parameters such as the recurrence interval and the friction law, significant tsunamigenic earthquake scenarios have been proposed (e.g., Hori et al. 2004; Hok et al. 2011; Kim et al. 2016). In addition to seismic velocity structure and seismicity, several phenomena such as non-volcanic tremors, very low-frequency earthquakes, and slow-slip events have been extensively studied around the subducting PHS slab in order to understand the mechanisms of the large interplate earthquakes (e.g., Ozawa et al. 2002; Obara 2002; Shiomi et al. 2006, 2008; Shelly et al. 2007; Hirose et al. 2008; Citak et al. 2012; Matsuzawa et al. 2013; Kim et al. 2016; Kita and Matsubara 2016; Takagi et al. 2016).

Referring from combined catalog of the ISC–GEM catalog (Storchak et al. 2013) and the unified hypocenter catalog of the Japan Meteorological Agency (JMA) over the 1909–2015 period, the seismicity in this region was very low except for the 1944 Tonankai (MJMA 7.9), 1946 Nankai (MJMA 8), 2004 Off Kii peninsula (MJMA 7.4), and 2009 Suruga Bay (MJMA 6.5) earthquakes and their aftershocks. On April 1, 2016, a shallow Mw 5.8 earthquake (2016 Off Mie earthquake; Event C in Fig. 1) suddenly occurred at the southeast off of Kii peninsula, central Japan. The epicenter of the 2016 Off Mie earthquake is very close to that of the 1944 Tonankai earthquake (yellow star in Fig. 1). During this earthquake, seismograms were widely recorded by dense seismic networks, such as high-sensitivity seismograph network (Hi-net) and full-range seismograph network (F-net) operated by National Research Institute for Earth Science and Disaster Resilience, Japan (NIED) (Okada et al. 2004). First-motion polarization analysis, a useful tool for studying small earthquakes (e.g., Thurber et al. 2006; Kato et al. 2011), gave a normal faulting for this earthquake mechanism (blue focal sphere in Fig. 1). On the other hand, an F-net routine moment tensor (MT) solution (Fukuyama et al. 1998), which is estimated by inversion analysis using the long-period displacement waveforms, was characterized by a reverse faulting mechanism (red focal sphere in Fig. 1). Similar differences in the estimated solutions commonly appeared for other offshore earthquakes, showing almost opposite directions of pressure and tension axes. Hori (2002) suggested that such difference in focal mechanism solutions for offshore earthquakes might be caused by the difference between initial and total rupture processes. If this was the major cause, the difference should appear in larger earthquakes as well, since they have complex source rupture processes. In our study region, however, the difference appears irrespective of the event magnitudes, and first-motion analysis tended to overestimate hypocenter depths (see Additional file 1: Table S1). This suggests that the difference may primarily be due to a characteristic subsurface structure, rather than the rupture process.
Fig. 1

Map and focal mechanisms of target earthquakes. a Map of southwest Japan and estimated focal mechanisms, b distribution of first-motion polarizations during the 2016 Off Mie earthquake. Gray squares in (a) are locations of Hi-net stations. Black triangles are locations of F-net stations used in waveform comparisons (Fig. 3d). Red and blue focal spheres represent focal mechanisms of the moment tensor solution and those of the first-motion solution, respectively. Blue isodepth lines of the upper surface of the Philippine Sea plate are shown at 10-km intervals (Baba et al. 2002; Hirose et al. 2008). The yellow star represents the epicenter of the 1944 Tonankai earthquake provided by the JMA catalog. Dashed lines in (b) represent the isodistance lines with an interval of 50 km from the epicenter of the 2016 Off Mie earthquake

Using Hi-net waveforms during the 2016 Off Mie earthquake, we propose that the misestimation of focal mechanisms and depths for first-motion polarization analysis is caused by subsurface structure related to the geometry of the low-angle dipping slab. Our hypothesis is validated via finite-difference method (FDM) simulations of seismic wave propagation using a three-dimensional (3D) heterogeneous velocity structure model. We also discuss the effects of the dipping slab on hypocenter location and seismicity by first-motion analysis in the other subduction zones.

Observed first-motion polarization and propagation during the 2016 Off Mie earthquake

During the 2016 Off Mie earthquake, almost all stations observed upward polarizations in the first motion (Fig. 1b), which could not be reproduced by the F-net MT solution in a homogeneous medium. Similar features were found in four other earthquakes (Additional file 1: Figure S2). Furthermore, although most hypocenter depths estimated by first-motion analysis were deeper than the depth of the oceanic Moho of the PHS (~19 km), the MT solutions indicated that the earthquakes occurred at the interface or within the oceanic crust of the PHS (see Additional file 1: Table S1 and colors of focal spheres in Additional file 1: Figure S1).

Record sections of vertical velocity seismograms at Hi-net stations (Fig. 2) revealed how upward first motions propagated through the heterogeneous subsurface structure of the Nankai subduction zone. The frequency response of the Hi-net sensors was corrected using the software of Maeda et al. (2011). Upward first arrivals with an apparent velocity of 7.2 km/s were clearly identified at epicentral distances of 50–180 km, while the arrival times could not be reproduced by the theoretical travel time using the one-dimensional (1D) velocity structure (Ukawa et al. 1984) of the Hi-net routine hypocenter determination (Additional file 1: Figure S3).
Fig. 2

Vertical velocity seismograms recorded at Hi-net stations. Theoretical travel time curve assuming a hypocenter depth of 14 km (orange line) was calculated from the 1D velocity structure model of Ukawa et al. (1984). The amplitudes of each trace were multiplied by their epicentral distance. Locations of the Hi-net stations are represented by filled triangles in the right subfigure. Up and down directions are left and right in trace, respectively

Since the high-velocity PHS exists at shallower depths (10–15 km) beneath the epicenters of the analyzed offshore earthquakes, the velocity structure is completely different from the 1D velocity structure model. In the case where a high-velocity oceanic mantle exists beneath the hypocenters, the rays of the first arrivals in land-area stations should pass through the oceanic Moho of the PHS as a head wave (hereafter called “PPHS”) with a faster apparent velocity. This might cause misestimations of the takeoff angles from a hypocenter calculated with the Hi-net 1D velocity structure. Furthermore, to fit such fast apparent velocity around land area, the hypocenter depths might be estimated to be deeper than the actual ones (Additional file 1: Figure S4).

Simulation of seismic wave propagation in the 3D heterogeneous model

The observed seismograms suggest that the PPHS generated from the down-going P waves becomes first motions at land stations and is a major cause of the incorrect estimations of focal mechanisms and depths for first-motion solution. Our hypothesis was examined using 3D FDM simulations of seismic wave propagation for the 2016 Off Mie earthquake, in which we incorporated the 3D geometry of the subducting PHS. The 3D model of the FDM simulation covered a volume of 512 × 512 × 128 km3 (enclosed by red square in Fig. 1a), which was discretized with grid intervals of 0.2 and 0.1 km in the horizontal and vertical directions, respectively. Technical details of the simulation, such as FDM scheme, solid/air boundary conditions, and formulation of the anelastic attenuation are described in Takemura et al. (2015a).

The 3D velocity structure model was constructed based on the Japan Integrated Velocity Structure Model (JIVSM; Koketsu et al. 2008, 2012), which is widely used in many seismological analyses across the Japan Islands (e.g., inversion of source rupture process, evaluation of strong ground motion, and simulation of seismic wave propagation) (e.g., Koketsu et al. 2011; Iwaki et al. 2013; Maeda et al. 2013; Takemura et al. 2015b, c). Although the velocity model in the offshore region has relatively large uncertainties, upper surface of the PHS from JIVSM is consistent with other models (e.g., Hirose et al. 2008; Citak et al. 2012; Nakamura et al. 2015). Since we focused our attention on the first motions and their apparent velocities at land Hi-net stations, our model did not include low-velocity (VS < 2.9 km/s) sediments and seawater layers (VP = 1.5 km/s). The physical parameters of each layer are listed in Additional file 1: Table S2. Our 3D FDM was able to examine seismic wave propagation for frequencies less than 2 Hz under these settings.

The seismic source for the 2016 Off Mie earthquake was represented by a single-cycle Küpper wavelet function (Mavroeidis and Papageorgiou 2003) with a dominant frequency of 1 Hz. A double-couple point source for this event was assumed following the Hi-net first-motion and F-net MT solutions (see Event C in Additional file 1: Table S1), which were located within the oceanic crust of assumed velocity structure model. Here we note that since our simulation did not include small-scale velocity heterogeneity within the crust and realistic source time function, which might be required to achieve more accurate simulation for higher frequencies (≥1 Hz), we focus our attention on first-motion polarization, apparent velocity, and its transition.

Figure 3 shows the spatial distributions of the first-motion polarizations derived from the 3D FDM simulations using F-net MT and Hi-net first-motion solutions. We also conducted 3D FDM simulation of F-net MT solution within the Hi-net 1D velocity structure model as a reference. In the simulation of 1D model (Fig. 3a), downward motions, which did not appear in the observation of land areas, were found at epicentral distances of 50–150 km. The reproducibility of the observed polarization pattern was significantly improved by introducing a 3D model (Fig. 3b). Slight discrepancy around the southwest of Kii peninsula could be improved by changing more suitable velocity structure or source parameter (later discussed). Hi-net first-motion solution within the 3D model also well reproduced observed first-motion polarizations (Fig. 3c). These results indicate that it is difficult to determine focal mechanisms of shallow offshore earthquakes by only using first-motion polarizations at land-area stations. To determine focal mechanisms of shallow offshore earthquakes, we should analyze long-period displacements, which are less sensitive to local heterogeneities along propagation path. Comparisons of long-period displacement seismograms (Fig. 3d) at N.ABUF and N.NRWF suggest a thrust-faulting mechanism, rather than normal-faulting mechanism.
Fig. 3

Same as Fig. 1b but for results of 3D simulations. Simulation results of F-net MT solution within a 1D velocity structure model (Ukawa et al. 1984). b 3D heterogeneous structure model of JIVSM (Koketsu et al. 2012). c Simulation result of Hi-net first-motion solution within JIVSM. d Comparison of low-frequency (0.005–0.02 s) displacement waveforms at N.ABUF and N.NRWF between observation and 3D simulations. Locations of F-net stations are shown in Fig. 1a

Figure 4a shows simulated waveforms of vertical component along XX′ and YY′ profiles. Although all the travel times were slightly delayed compared to the observations (red lines), the PPHS and Pn phases and their transition at epicentral distance of 180 km were clearly found along the XX′ profile (top panel of Fig. 4a). These features are also illustrated in the snapshot of seismic wavefield along the XXʹ profile (Fig. 4b).
Fig. 4

Simulated waveforms and wavefield snapshots. a Simulated seismograms of vertical component along the XX′ and YY′ profiles, b snapshot of seismic wave propagation along the XX′ profile derived from 3D simulation. In order to enhance the amplitudes of P waves at far stations, the amplitudes of each trace were normalized by their maximum amplitudes for first arrival part. Simulated P and S wavefields are colored in red and green, respectively. Head wave propagating through oceanic Moho of PHS is labeled as PPHS in (b). Red solid, red dashed, and orange lines in (a) are the same as in Fig. 2. Up and down directions are left and right in trace, respectively

Discussion and conclusions

We conclude that the systematic difference between first-motion and waveform-inversion solutions for shallow offshore earthquakes is mainly caused by the subducting PHS, which generates a PPHS phase with an apparent velocity of 7.2 km/s and causes the misestimations of the takeoff angles and hypocenter depths. To fit such a fast apparent velocity around land areas in the conventional one-dimensional studies, the hypocenter depth is overestimated compared to the actual one.

Around southwest of the Kii Peninsula (toward YY′ profile), a discrepancy between observation and simulation was recognized at epicentral distances less than 100 km (Fig. 3b). The apparent velocity of the simulated first motions along the YY′ profile correlates with the theoretical travel times from the 1D velocity structure model, rather than the observed ones (bottom of Fig. 4a). Thus, this discrepancy could be reduced by introducing more accurate velocity structure models around the offshore region or by changing the source parameters such as the hypocenter depth and the fault dip angle. Geometries of the subducting slab are strongly controlled by dip angles of subduction. The effects of key parameter, the “dip angle of subducting slab,” were investigated via two-dimensional (2D) FDM simulations using a simple 2D slab model. The 2D model covered a zone of 409.6 × 128 km2, which was discretized with a uniform grid interval of 0.1 km. The geometry of the 2D subducting oceanic crust and mantle is shown in the upper left of Fig. 5 and is then embedded into the background Hi-net 1D velocity structure model (Additional file 1: Figure S3). The seismic velocities and thicknesses of oceanic crust and mantle are shown in right bottom of Fig. 5. In order to focus on the PPHS propagation pattern, an isotropic P wave line source (explosion source; Mxx = Mzz = 1.0) was assumed within the oceanic crust of 2D model (14 km). We examine relation between PPHS propagation and dip angle of subducting slab.
Fig. 5

Simulated waveforms derived from 2D simulations with varying dip angles θ of the subducting slab. Schematic figure of the model used is shown in upper left corner. Blue, red solid, and dashed lines represent direct P, PPHS, and Pn phases, respectively. Physical parameters of the assumed slab are listed in right bottom corner

Figure 5 shows the vertical seismograms derived from the 2D simulations for various dip angles of subducting slab (θ = 5, 10, 20 and 30°). Since explosion source was employed, upward first motions clearly propagated along the profile. In the cases of dip angle θ = 5°, which is gentler dip angle of the PHS model used in 3D simulations, PPHS with an apparent velocity of approximately 7.2 km/s (Fig. 5, red solid line) was widely observed at epicentral distances of 60–180 km. As the dip angle θ increased, direct P waves propagating through the crust (Fig. 5, blue line) became dominant. In particular, for dip angles greater than θ = 30°, PPHS was only observed within a narrow distance range (140–180 km). This indicates that the effects of PPHS propagation on conventional determination of the hypocenter location and mechanism could be negligible in the following cases: (1) subduction zones with high (>20–30°) dip angles (e.g., Kuril, Izu-Bonin-Mariana and Tonga subduction zones) and (2) earthquakes occurring near/beneath land area.

In other subduction zones with low-angle (<20°) dipping slabs such as Cascadia, Mexican, and Peru–Chile subduction zones (e.g., Hayes et al. 2012), large (M > 8) thrust earthquakes have also repeatedly occurred at recurrence intervals of several 100 years. Seismicity and focal mechanisms near the slab interface are very important for considering such large earthquakes. Our findings suggest the possibility of underestimation of the seismicity above the oceanic Moho in such subduction zones with low-angle dipping slabs. Furthermore, low-angle dipping slabs also have a potential to affect seismic wave propagations and strong ground motions (e.g., Furumura and Singh 2002; Takemura et al. 2015b, c). In future studies, it would be important to precisely estimate the seismicity and characteristics of seismic wave prorogation by using the appropriate 3D subsurface structure model in order to overcome the misestimation of the source mechanisms and the hypocenter locations around low-angle dipping slabs.

Notes

Authors’ contributions

ST conducted waveform analysis for both observation and simulation and drafted this manuscript. KS and TK participated in the study design and interpretation of the results. TS participated in the considerations for wave propagation. All authors helped drafting the manuscript. All authors read and approved the final manuscript.

Acknowledgements

The Hi-net waveform data, Hi-net hypocenter catalog, and F-net MT solutions were provided by the National Research Institute for Earth Science and Disaster Resilience, Japan (NIED), via the Institute website. We also used the unified hypocenter catalogs provided by the Japan Meteorological Agency (last accessed April 28, 2016). Bathymetric depth data were obtained from ETOPO1 (Amante and Eakins 2009). The software for sensor response correction by Maeda et al. (2011) is available via Dr. T. Maeda’s website (http://www.eri.u-tokyo.ac.jp/people/maeda/w/doku.php/codes/hinet_decon). Large-scale FDM simulations were conducted on the supercomputer system at NIED and the Earth Simulator on Japan Agency for Marine-Earth Science and Technology. Generic Mapping Tools (Wessel and Smith 1998) were used to prepare the figures. The JIVSM is available via the website (http://www.jishin.go.jp/main/chousa/12_choshuki/dat/). Depth data of upper surface of the Philippine Sea plate are available via Dr. F. Hirose’s website (http://www.mri-jma.go.jp/Dep/st/member/fhirose/ja/PlateData.html).

Competing interests

The authors declare that they have no competing interests.

Supplementary material

40623_2016_527_MOESM1_ESM.docx (930 kb)
Additional file 1: Figure S1. First-motion solutions of aftershocks of the 2016 Off Mie earthquake. Focal spheres with magnitudes of 2.5–3.4 were plotted referring the Hi-net catalog (last accessed 19 April 2016). Location of the epicenter of the 2016 Off Mie earthquake is given by the yellow star. Figure S2. Same as Fig. 1b but for four additional earthquakes (Events A, B, D and E of Table S1). Figure S3. 1D velocity structure model by Ukawa et al. [1984]. Red and green lines are depth variations of P- and S-wave velocities, respectively. Figure S4. Theoretical travel using 1D velocity structure model by Ukawa et al. [1984]. Table S1. Parameters of earthquake used in this study. ϕS, δ and λ are strike, dip, and rake angles of focal mechanism, respectively. Table S2. Physical parameters for each layer. P- and S-wave velocities (VP, VS), densities (ρ), and anelastic attenuation (QP, QS) of the JIVSM [Koketsu et al. 2012].

References

  1. Amante C, Eakins BW (2009) ETOPO1 arc-minute global relief model: procedure, data sources and analysis: NOAA technical memorandum NESDIS NGDC-24, National Geophysical Data Center, NOAA. doi:10.7289/V5C8276M
  2. Ando M (1975) Source mechanisms and tectonic significance of historical earthquakes along the Nankai Trough. Jpn Tectonophys 27(2):119–140CrossRefGoogle Scholar
  3. Baba T, Tanioka Y, Cummins PR, Uhira K (2002) The slip distribution of the 1946 Nankai earthquake estimated from tsunami inversion using a new plate model. Phys Earth Planet Int 132(1):59–73. doi:10.1016/S0031-9201(02)00044-4 CrossRefGoogle Scholar
  4. Citak SO, Nakamura T, Nakanishi A, Yamamoto Y, Ohori M, Baba T, Kaneda Y (2012) An updated model of three-dimensional seismic structure in the source are of the Tokai–Tonankai–Nankai earthquake, in Abstract of AOGS-AGU (WPGM) Joint Assembly, Singapore, 12–17 August 2012, Abstract No. OS-6-A015Google Scholar
  5. Fukuyama E, Ishida M, Dreger DS, Kawai H (1998) Automated seismic moment tensor determination by using on-line broadband seismic waveforms. Zisin 51:149–156 (in Japanese with English abstract) Google Scholar
  6. Furumura T, Singh SK (2002) Regional wave propagation from Mexican subduction zone earthquakes: the attenuation functions for interplate and inslab events. Bull Seismol Soc Am 92(6):2110–2125. doi:10.1785/0120010278 CrossRefGoogle Scholar
  7. Hashimoto C, Fukui K, Matsu’ura M (2004) 3-D modeling of plate interfaces and numerical simulation of long-term crustal deformation in and around Japan. Pure Appl Geophys 161:2053–2068. doi:10.1007/s00024-004-2548-8 CrossRefGoogle Scholar
  8. Hayes GP, Wald J, Johnson RL (2012) Slab 1.0: a three-dimensional model of global subduction zone geometries. J Geophys Res 117:B01302. doi:10.1029/2011JB008524 CrossRefGoogle Scholar
  9. Heki K, Miyazaki S (2001) Plate convergence and long-term crustal deformation in central Japan. Geophys Res Lett 28:2313–2316. doi:10.1029/2000GL012537 CrossRefGoogle Scholar
  10. Hirose F, Nakajima J, Hasegawa A (2008) Three-dimensional seismic velocity structure and configuration of the Philippine Sea slab in southwestern Japan estimated by double-difference tomography. J Geophys Res 133:B09315. doi:10.1029/2007JB005274 Google Scholar
  11. Hok S, Fukuyama E, Hashimoto C (2011) Dynamic rupture scenarios of anticipated Nankai–Tonankai earthquakes, southwest Japan. J Geophys Res 116:B12319. doi:10.1029/2011JB008492 CrossRefGoogle Scholar
  12. Hori S (2002) Comparison of earthquake mechanism solutions obtained from first motion analysis with those with waveform analysis. Zisin 55:275–284 (in Japanese with English abstract) Google Scholar
  13. Hori T, Kato N, Hirahara K, Baba T, Kaneda Y (2004) A numerical simulation of earthquake cycles along the Nankai Trough in southwest Japan: lateral variation in frictional property due to the slab geometry controls the nucleation position. Earth Planet Sci Lett 228:215–226. doi:10.1016/j.epsl.2004.09.033 CrossRefGoogle Scholar
  14. Iwaki A, Morikawa N, Maeda T, Aoi S, Fujiwara H (2013) Finite-difference simulation of long-period ground motion for the Sagami Trough megathrust earthquakes. J Disaster Res 8(5):926–940CrossRefGoogle Scholar
  15. Kato A, Sakai S, Obara K (2011) A normal-faulting seismic sequence triggered by the 2011 off the Pacific coast of Tohoku earthquake: wholescale stress regime changes in the upper plate. Earth Planets Space 63(7):745–748. doi:10.5047/eps.2011.06.014 CrossRefGoogle Scholar
  16. Kim SB, Saito T, Fukuyama E, Kang TS (2016) The Nankai trough earthquake tsunamis in Korea: numerical studies of the 1707 Hoei earthquake and physical-based scenarios. Earth Planets Space 68:64. doi:10.1186/s40623-016-0438-9 CrossRefGoogle Scholar
  17. Kita S, Matsubara M (2016) Seismic attenuation structure associated with episodic tremor and slip zone beneath Shikoku and the Kii peninsula, southwestern Japan, in the Nankai subduction zone. J Geophys Res 121:1962–1982. doi:10.1002/2015JB012493 CrossRefGoogle Scholar
  18. Koketsu K, Miyake H, Fujiwara H, Hashimoto T (2008) Progress towards a Japan integrated velocity structure model and long-period ground motion hazard map. In: Proceedings of the 14th world conference on earthquake engineering, Beijing, China, October 12–17Google Scholar
  19. Koketsu K, Yokota Y, Nishimura N, Yagi Y, Miyazaki S, Satake K, Fujii Y, Miyake H, Sakai S, Yamanaka Y, Okada T (2011) A unified source model for the 2011 Tohoku earthquake. Earth Planet Sci Lett 310(3):480–487. doi:10.1016/j.epsl.2011.09.009 CrossRefGoogle Scholar
  20. Koketsu K, Miyake H, Suzuki H (2012) Japan integrated velocity structure model version 1. In: Proceedings of the 15th world conference on earthquake engineering, Lisbon, Portugal, September 24–28Google Scholar
  21. Maeda T, Obara K, Furumura T, Saito T (2011) Interference of long-period seismic wavefield observed by the dense Hi-net array in Japan. J Geophys Res 116:B10303. doi:10.1029/JB008464 CrossRefGoogle Scholar
  22. Maeda T, Furumura T, Noguchi S, Takemura S, Sakai S, Shinohara M, Iwai K, Lee SJ (2013) Seismic- and tsunami-wave propagation of the 2011 off the Pacific coast of Tohoku earthquake as inferred from the tsunami-coupled finite-difference simulation. Bull Seismol Soc Am 103(2B):1456–1472. doi:10.1785/0120120118 CrossRefGoogle Scholar
  23. Matsuzawa T, Shibazaki B, Obara K, Hirose H (2013) Comprehensive model of short- and long-term slow slip events in the Shikoku region of Japan, incorporating a realistic plate configuration. Geophys Res Lett 40:5125–5130. doi:10.1002/grl.51006 CrossRefGoogle Scholar
  24. Mavroeidis GP, Papageorgiou AS (2003) A mathematical representation of near-field ground motions. Bull Seismol Soc Am 93(3):1099–1131. doi:10.1785/0120020100 CrossRefGoogle Scholar
  25. Nakamura T, Takenaka H, Okamoto T, Ohori M, Tsuboi S (2015) Long-period ocean-bottom motions in the source areas of large subduction earthquakes. Sci Rep 5:16648. doi:10.1038/srep16648 CrossRefGoogle Scholar
  26. Obara K (2002) Nonvolcanic deep tremor associated with subduction in southwest Japan. Science 296:1679–1681. doi:10.1126/science.1070378 CrossRefGoogle Scholar
  27. Okada Y, Kasahara K, Hori S, Obara K, Sekiguchi S, Fujiwara H, Yamamoto A (2004) Recent progress of seismic observation networks in Japan-Hi-net, F-net, K-NET and KiK-net. Earth Planets Space 56(8):15–28. doi:10.1186/BF03353076 CrossRefGoogle Scholar
  28. Ozawa S, Murakami M, Kaidzu M, Tada T, Sagiya T, Hatanaka Y, Yarai H, Nishimura T (2002) Detection and monitoring of ongoing aseismic slip in Tokai region, central Japan. Science 298(5595):1009–1012. doi:10.1126/science.107680 CrossRefGoogle Scholar
  29. Seno T, Stein S, Gripp AE (1993) A model for the motion of the Philippine Sea plate consistent with NUVEL-1 and geophysical data. J Geophys Res 98:17941–17948. doi:10.1029/93JB00782 CrossRefGoogle Scholar
  30. Shelly DR, Beroza GC, Ide S (2007) Non-volcanic tremor and low-frequency earthquake swarms. Nature 446(7133):305–307. doi:10.1038/nature05666 CrossRefGoogle Scholar
  31. Shiomi K, Obara K, Sato H (2006) Moho depth variation beneath southwestern Japan revealed from the velocity structure based on receiver function inversion. Tectonophysics 420:205–221. doi:10.1016/j.tecto.2006.01.017 CrossRefGoogle Scholar
  32. Shiomi K, Matsubara M, Ito Y, Obara K (2008) Simple relationship between seismic activity along Philippine Sea slab and geometry of oceanic Moho beneath southwest Japan. Geophys J Int 173:1018–1029. doi:10.1111/j.1365-246X.2008.03786.x CrossRefGoogle Scholar
  33. Storchak DA, Giacomo DD, Bondár I, Engdahl ER, Harris J, Lee WHK, Villaseñor A, Bormann P (2013) Public release of the ISC–GEM Global instrumental earthquake catalogue. Seismol Res Lett 84:810–815. doi:10.1785/02200130034 CrossRefGoogle Scholar
  34. Takagi R, Obara K, Maeda T (2016) Slow slip event within a gap between tremor and locked zoned in the Nankai subduction zone. Geophys Res Lett. doi:10.1002/2015GL066987 Google Scholar
  35. Takemura S, Furumura T, Maeda T (2015a) Scattering of high-frequency seismic waves caused by irregular surface topography and small-scale velocity inhomogeneity. Geophys J Int 201(1):459–474. doi:10.1093/gji/ggv038 CrossRefGoogle Scholar
  36. Takemura S, Yoshimoto K, Tonegawa T (2015b) Velocity increase in the uppermost oceanic crust of the Philippine Sea plate beneath the Kanto region due to dehydration inferred from high-frequency trapped P waves. Earth Planets Space 67:41. doi:10.1186/s40623-015-0210-6 CrossRefGoogle Scholar
  37. Takemura S, Yoshimoto K, Tonegawa T (2015c) Scattering of trapped P and S waves in the hydrated subducting crust of the Philippine Sea plate at shallow depths beneath the Kanto region, Japan. Geophys J Int 203(3):2261–2276. doi:10.1093/gji/ggv423 CrossRefGoogle Scholar
  38. Thurber C, Zhang H, Waldhauser F, Hardbeck J, Michael A, Eberhart-Phillips D (2006) Three-dimensional compressional wavespeed model, earthquake relocations, and focal mechanisms for the Parkfield, California, region. Bull Seismol Soc Am 96(4B):538–549. doi:10.1785/0120050825 CrossRefGoogle Scholar
  39. Ukawa M, Ishida M, Matsumura S, Kasahara K (1984) Hypocenter determination method of the Kanto-Tokai observational network for microearthquakes. Res Notes Natl Res Cent Disaster Prev 53:1–88 (in Japanese with English abstract) Google Scholar
  40. Wessel P, Smith WHF (1998) New, improved version of generic mapping tools released. EOS Trans Am Geophys Union 79(47):579. doi:10.1029/98EO00426 CrossRefGoogle Scholar
  41. Yokota Y, Ishikawa T, Watanabe S, Tashiro T, Asada A (2016) Seafloor geodetic constraints on interplate coupling of the Nankai Trough megathrust zone. Nature. doi:10.1038/nature17632 Google Scholar

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Authors and Affiliations

  1. 1.National Research Institute for Earth Science and Disaster ResilienceTsukubaJapan

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