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Visualization of attenuation structure and faults in incoming oceanic crust of the Nankai Trough using seismic attenuation profiling
Earth, Planets and Space volume 70, Article number: 31 (2018)
Seismic attenuation properties were tested as indicators of lateral variation in geological structures and detection of faults within poorly reflective oceanic crust, on a seismic survey line along the Nankai Trough. We can specify both sedimentary structures by configuration of reflections and faults by offsetting of reflections on seismic reflection profiles. This procedure is often applied to analyze geological structures and existence of faults within sedimentary layers; however, it is almost impossible to analyze them within igneous oceanic crust because seismic reflections are inherently invisible there. Therefore, we applied seismic attenuation profiling to visualize geological structures and faults within poorly reflective oceanic crust. As a result, oceanic crust altered by late-coming volcanisms as well as damaged by intraplate earthquakes was imaged as extremely high-attenuation property, which was clearly distinguished from normal oceanic crust. Many faults were observed in the sedimentary unit on the seismic reflection profile, whereas possible lower segments of the faults were imaged as high-attenuation stripes in the oceanic crust on the seismic attenuation profile. Thus, the effectiveness of seismic attenuation profiling to structural and fault imaging within poorly reflective oceanic crust was successfully demonstrated.
The Nankai Trough (NT) is located at the northern margin of the Philippine Sea Plate (PSP) subducting below the Eurasian Plate (EP) (Fig. 1), where large earthquakes with Mw > 8 have occurred with a recurrence interval of 100–200 years (Ando 1975). Seismic reflection studies have been carried out in the landward slope of the NT to reveal the geologic structures of this seismogenic plate boundary (e.g., Moore et al. 1990; Park et al. 2002a). However, only a few seismic reflection studies (e.g., Ike et al. 2008) have been conducted in the seaward slope of the NT.
The seaward slope of the NT is located on the Shikoku Basin, which is a backarc basin developed in the northern part of PSP. Detailed mapping of magnetic anomalies and topography (e.g., Okino et al. 1994) revealed its complicated basin-evolution process from ca. 30–15 Ma: rifting, NNW–SSE opening, N–S opening, NW–SE opening and post-opening volcanism of the Kinan Seamount Chain (KSC) trending NNW-SSE. KSC can be interpreted to be created from upwelling of magma at the cross-point of remnant spreading center and fracture zones (Okino et al. 1994). Ike et al. (2008) revealed regional and local variations in basement relief, sediment thickness and sediment type in the Shikoku Basin by using 40 lines of seismic reflection data. The authors also detected deep basement lows (sag ponds) along the KSC (Fig. 1).
Regarding fault imaging study in the oceanic crust in the NT, Tsuji et al. (2013) identified widely distributed intracrustal thrust and strike-slip faults within the subducting PSP off the Kii Peninsula based on 2D and 3D seismic reflection data and indicated that these faults cut the oceanic Moho and act as conduits for transport of water into the crust and upper mantle. However, intracrustal faults within the incoming PSP in areas other than off the Kii Peninsula have not previously been discussed because seismic reflections have rarely been observed in such locations. Poor reflectivity may lead to failure to recognize the existence of active faults until they are revealed by sudden earthquakes and subsequent aftershocks, if they were active faults. Therefore, it is important to identify the presence, size and activity extent of seismic faults for prevention and mitigation of earthquake-related disasters. Investigation of intracrustal faults is important not only to understand their relationships with intracrustal earthquakes (e.g., Yadav et al. 2013) but also the contribution of fluid interactions between the mantle and crust in generating earthquakes (e.g., Sano et al. 2014).
The past activity of a fault is recorded as offsets of geological formations at the fault’s location. Therefore, the location, size, timing, type and displacement of the fault can be analyzed from seismic reflection profiles based on the offsets of reflections (e.g., Mansfield and Cartwright 1996; Kattenhorn and Pollard 2001). However, analyzing past fault activity in this manner is impossible in poorly reflective areas, such as igneous oceanic crust where seismic reflections are inherently invisible. Therefore, alternative methods to those conventionally applied are required.
Worthington and Hudson (2000) showed that a fault zone can be characterized as a high-attenuation zone using vertical seismic profiling (VSP) data in the North Sea. An abrupt increase in attenuation to a Q value of 45, which is associated with a region between 1000 and 2000 m depth where the borehole intersects a major fault zone dipping at approximately 50 degrees, was observed in the previous study (Harris et al. 1997). Based on a linear slip theory of fault, Worthington and Hudson (2000) considered that the increase in attenuation was caused by fractures imperfectly bonded the fault interfaces. Tsuru et al. (2014) showed negative correlation between seismic attenuation and fault sealing ability for hydrocarbons using 3D seismic reflection data. The authors computed Q by spectral ratio method in the small study area, where two kinds of faults exist: a fault that seals hydrocarbon and a fault that seals no hydrocarbon. As a result, the former was imaged as low-attenuation zone, whereas the latter as high-attenuation zone. Given that the former has strong fault coupling and the later has weak fault coupling at the interfaces, the result (negative correlation between seismic attenuation and fault sealing ability) can be well explained. Nagata et al. (2008) demonstrated a clear relationship between fault friction and seismic attenuation based on laboratory measurements. In this paper, seismic waves, which propagated across the fault interface having week friction, strongly attenuated. Reversely, seismic waves, which propagated across the fault interface having strong friction, did not show much attenuation. For seismogenic depths, Blakeslee et al. (1989) developed a technique to measure seismic attenuation within an active fault zone along the San Andreas Fault and suggested that seismic attenuation is a valuable indicator of the mechanical behavior and rheology of fault zones. Tsuru et al. (2017) delineated an earthquake swarm zone in a volcanic area using seismic attenuation profiling (SAP), in which seismic attenuation is mapped instead of reflection amplitude. The seismic reflection data used in the study were collected immediately after the eruption of Miyakejima island volcano in 2000. The earthquake swarm initiated from the Miyakejima soon after the eruption and migrated westward with a dike shape. The swarm zone was imaged as high-attenuation zone. Thus, attenuation properties may have a potential in identifying not only the presence but also the present activity of faults. This paper presents the results of visualization of lateral variation in geological structure and fault, constructed using the SAP method, within poorly reflective oceanic crust of the seaward slope of the NT.
Seismic reflection data and methods
Seismic reflection survey was conducted from onboard the R/V Kairei of the Japan Agency for Marine-Earth Science and Technology (JAMSTEC) along the seismic line NT501H in 2005, which followed the axis of the NT southwest of Japan (Fig. 1). In this survey, a total of ca. 552 km of seismic reflection records with very-high vertical-resolution were collected using two GI guns (with a total volume of 12 L). As a receiver, a 5100-m streamer cable was used. The shot, receiver and common depth point (CDP) intervals were 50, 25 and 12.5 m, respectively. The GI guns and the streamer cable were towed at depths of 5 and 8 m below sea level, respectively; these towing depths are shallower than those of conventional Kairei seismic reflection surveys (10 and 15 m) and provide broader frequency bandwidth because of higher ghost-notch frequencies. Broader frequency bandwidth is advantageous for not only analyzing fault characteristics with high resolution but also estimating seismic attenuation, especially for methods in the frequency domain such as the spectral ratio method.
Standard data processing was applied with sampling rate of 2 ms, including trace editing, deconvolution, multiple removal, NMO correction with stretching factor of 1.5, CDP stacking and post-stack time migration with maximum dip of 60 degree; these methods are described in detail by Yilmaz and Doherty (1987). The resulting time-migrated seismic reflection profile is shown in Fig. 2. Continuous reflections, as well as the faults that cut them, are clearly visible in the profile. Based on noise level analysis using the amplitude decay curve (Fig. 3), the trace length applicable to SAP analysis is about 10 s in two-way travel time; amplitude decreases with increasing travel time and asymptotically approaches a flat level at about 10 s, which represents the level of noise in the data acquisition system.
To estimate spatial variation of the attenuation structure in the oceanic crust, SAP was applied. Here, we used the spectral ratio method to calculate seismic attenuation properties from multichannel seismic reflection data, because this method is one of the most widely used methods to estimate the value of Q (e.g., Tonn 1991). The temporal decay in amplitude of a propagating seismic wave of frequency f from travel time t1 to travel time t2 can be expressed as a function of Q:
where δt = t2 − t1; At1 and At2 are the amplitude spectra of the wavelet at t1 and t2, respectively; and G and R are the geometrical spreading and reflection coefficients, respectively. Taking the spectral ratio and then the logarithms of both sides:
Because the logarithm of the spectral ratio is a linear function of frequency f, as expressed in Eq. (2), Q can be computed from its gradient p using Eq. (3) for the time window between t1 and t2. Prior to the amplitude spectrum computation, we made subsampling of the sampling rate of the input seismic data from 2 to 0.5 ms.
As shown in Fig. 4, we computed the gradient p by linear approximation with the least squares method. To evaluate reliability of the gradient p determination, correlation coefficient of the linear approximation was calculated at every location and then mapped on the profile, as seen in Fig. 5. Almost of the correlation coefficients are smaller than − 0.8, showing high negative correlation in the gradient p determination.
To avoid influence from sediments and to detect spatial variation in attenuation properties only within the igneous oceanic crust, Q was calculated only for depths of the crust and the uppermost mantle. The amplitude spectrum At1 was computed in the time window set on the top of the crust, and the amplitude spectrum At2 was computed in every time window within the crust. Resulting Q represents so-called average Q (not interval Q), which shows average Q value between t1 and t2. Here we adopted a constant time-window length of 128 ms and a frequency band of 10–70 Hz for the calculation of the gradient p in Eq. (3). This calculation was repeated trace by trace, and every average Q value was mapped as seismic attenuation profile in Fig. 6. The color scale from red (high attenuation) to blue (low attenuation) represents the percentage deviation from the median value (13.4) of the average Q for the entire profile. Here, the resulting percentage deviations of average Q values were mapped on the time windows of the denominator of Eq. (2) on every trace: the uppermost percentage deviation of average Q represents that from the spectral ratio of At2/At1 of Eq. (2), the second uppermost percentage deviation of average Q represents that from the spectral ration of At3/At1 and so on.
In the present study, moving-average filters both in the vertical direction with a sliding window of 3 time windows and in the horizontal direction with a sliding window of 51 traces (CDPs), were applied to mitigate the influences of abnormal values caused by local noise. The lengths of the vertical 384-ms sliding time window and the horizontal 1275-m sliding trace window represent the vertical and horizontal resolutions of the present SAP analysis, respectively.
As input data of SAP calculation, we used a post-stack time migration record in the present study, because post-stack data have an advantage in S/N ratio because random noise and remaining multiples are strongly suppressed by stacking effect. However, it has a disadvantage in preservation of original frequency contents because NMO correction distorts frequency of reflection. Reversely, pre-stack data have also been used (e.g., Dasgupta and Clark 1998), because the pre-stack data have an advantage in frequency preservation. However, it has a disadvantage in S/N ratio. Therefore, pre-stack data would be used to estimate absolute Q values in a limited area, where variety of random noise as well as remaining multiples are limited, as Dasgupta and Clark (1998) did around a gas reservoir. Post-stack data would rather be appropriate to estimate relative variation in Q over a wide area than pre-stack data because of higher S/N ratio. Moreover, there is no large lateral variation in velocity within the igneous oceanic crust, so lateral variation in frequency distortion by NMO stretching is not so large there.
Here we examine the Q estimation errors based on frequency distortion by NMO stretching effect at NMO correction in the present seismic data. The NMO stretching is a frequency distortion in which reflection waves are shifted to lower frequencies, being a function of source-receiver offset, travel time and NMO velocity. The stretching is confined mainly to large offsets and shallow travel times (Yilmaz and Doherty 1987). Because there is no large lateral variation in velocity within the igneous oceanic crust, a representative velocity function in the study area was used in the modeling (Fig. 7). First, the NMO stretching effects are calculated using a synthetic seismogram that consists of Ricker wavelets with central frequencies of 25, 22, 19 and 16 Hz, for the offsets from 0 to 5100 m and for travel time from 0 to 10 s using the velocity function. Second, spectra of the NMO-stretched reflections (A-D) were calculated and then Q values were estimated using the spectral ratio. Here, the spectrum of reflection A was used for the denominator of the left side of Eq. (2) and that of the other reflections were used for the numerator. The resulting percentage errors in Q estimation are summarized in Table 1. All the errors are less than 1.5%, which would bring no significant misunderstanding of attenuation structure. In the present study, therefore, we used post-stack seismic data for Q computation by spectral ratio method and discuss lateral variation in attenuation property in the igneous oceanic crust.
Interpretation of seismic reflection and attenuation profiles
The seismic reflection profile clearly shows sedimentary layers overlying the igneous oceanic crust, as well as many faults cutting through the strata, as shown in Fig. 2. A deep basement low (sag pond) can be observed in the central part of the NT501H line: around CDP23000. The oceanic crust shows gentle topography in the western side of the line, excluding two locations: CDPs 10,000 and 14,500. Conversely, it shows jaggy topography, associated with faulted and folded structures in the sedimentary unit, in the eastern side. A part of profile is enlarged in Fig. 8 to illustrate faults identified in the sedimentary unit. Most of those faults have displacements on the seafloor (Fig. 8e, f), which indicates that they are presently active. Moreover, those faults show tectonic features as follows:
Ambiguous stratigraphic correlation or inconsistency of fault-displacement accumulation on both sides of the dominant faults.
Flower-structure-like reflection patterns (around CDP 23,500–24,000).
These features are consistent with those of strike-slip fault.
Figure 9 shows a composite profile of seismic reflection and seismic attenuation. A part of the composite profile is enlarged in Fig. 10. The seismic reflection profile shows sedimentary layers, folding structures and faults above the igneous oceanic crust. Meanwhile, the seismic attenuation profile shows lateral variation in attenuation structure and near-vertical high-attenuation stripes within the crust (Fig. 10). These high-attenuation stripes extend downward from immediately beneath the faults specified within the sedimentary unit on the seismic reflection profile. Therefore, the high-attenuation stripes were interpreted as faults, as mentioned in the next Chapter. In the present study, we defined the average Q values having negative percentage perturbation (yellow to red) as ‘high-attenuation’ and those having positive percentage perturbation (yellowish green to blue) as ‘low-attenuation.’
Type and present activity of faults
Many faults were observed in the sedimentary unit on the reflection profile (Figs. 2 and 8). The faults appear to be presently active and can be interpreted as those of strike-slip type. Although it is difficult to identify this fault type based only on a 2D seismic profile because of the limited lateral extent of apparent vertical displacement, this interpretation on fault activity and type may be supported by the repeated long-term ocean-bottom seismometer (OBS) observations by Mochizuki et al. (2010). The authors detected high seismicity in the downdip extension of the KSC beneath the landward slope, and most of the focal mechanisms of the earthquakes observed were of strike-slip type. In terms of fault type, almost all of those faults may have been originally formed as normal faults because their dips range from 30 to 60 degrees, which are consistent with the typical dip angles of normal faults. Namely, those faults would have been reactivated after the oblique subduction (e.g., Seno et al. 1993) as strike-slip faults (Tsuji et al. 2014).
Here we discuss present activity of the faults A and B, which bound the sag pond around CDP 23,000 on line NT501H (Fig. 7b). Although the previous study (Ike et al. 2008) has not discussed about the present activity of the faults bounding the sag pond, the depressed seafloor implies that they are presently active (Fig. 11). Moreover, the displacements of the faults A and B are significantly larger than those of the others (Fig. 8b). Those observations suggest that the present activity of the faults A and B are most predominant among the faults imaged around the sag pond.
Lateral variation in attenuation structure
Figure 9 shows lateral variation in attenuation structure within the igneous oceanic crust: high-attenuation zone in the west of CDP 7000 (HAZ), low-attenuation zone between CDP 7000 and CDP 27000 (LAZ), extremely high-attenuation zone in the east of CDP 27000 (eHAZ). First, we discuss about the contrast between HAZ and LAZ. What does the contrast reflect; variation in development degree of normal faults primarily formed at the ocean floor spreading or late-coming structural activity such as volcanism after the spreading?
If the development degree of the normal faults is the case, there should be significant change in the spreading rate between ca 22 Ma (magnetic anomaly 6B) and ca 21 Ma (magnetic anomaly 6A), as seen in Fig. 12. However, no such change has been reported by previous studies (e.g., Okino 2015). In case that their spreading rates were same, the direction of line NT501H to the magnetic lineation may be influenced to attenuation property imaged on the line. The line NT501H perpendicularly crosses the magnetic anomaly 6B in the HAZ, whereas the line obliquely crosses the magnetic anomaly 6A in the LAZ. Since the direction of the normal faults formed at the spreading is parallel to the magnetic anomaly, seismic waves passing perpendicularly to the magnetic anomaly have apparently larger attenuation than those passing obliquely to the anomaly. The effect by the crossing angle difference appears to be consistent with the attenuation contrast between HAZ and LAZ.
Volcanic activities after the spreading have been reported at some seamounts in KSC (Ishii et al. 2000), but not in the HAZ. Therefore, the late-coming volcanism cannot be a candidate of the attenuation contrast between HAZ and LAZ. Thus, the lateral variation in attenuation between HAZ and LAZ may have been observed by the difference of crossing angle between the seismic line and the magnetic lineation. However, further studies or observations are required to reveal this contrast.
Next, we discuss about the contrast between LAZ and eHAZ. It is difficult to explain this contrast unifiedly by the same reason as that between HAZ and LAZ, because the NT501H obliquely crosses the magnetic anomaly on the eastern Shikoku Basin (CDPs 30,000–44,000) where eHAZ was imaged. Therefore, we discuss two possibilities to cause this attenuation contrast below: development of intraplate faults or widely spread over porous lithology.
Many intraplate earthquakes in the incoming oceanic crust off the Kii Peninsula have been recorded by OBS (e.g., Obana et al. 2005) as seen in Fig. 13, and several intraplate faults have been identified in seismic reflection profiles off the Kii Peninsula (Tsuji et al. 2013). Those many intraplate earthquakes would have brought about many structural movements. Actually, the sedimentary unit records the trace of the movements as folding structures and the structures are left most evidently in the sedimentary unit on eHAZ (Fig. 9). Even if the fault shear zones of the intraplate earthquakes have high-attenuation property, more enormous number of faults than ever recognized would be required to explain the extremely high attenuation that spread all over the eHAZ.
Late-coming volcanism may be the other candidate because it brings about porous lithology. Looking at the location of the eHAZ, it is roughly consistent with that of the Zenisu Ridge (Fig. 1). The normal oceanic crust was identified beneath the Zenisu Ridge by a velocity structure study using OBS (Nakanishi et al. 2002), and the magnetization highs associated with the ridge topography were identified by a magnetic inversion study (Kido and Fujiwara 2004). Thus, if volcanic activity associated with the ridge formation (e.g., Bandy and Hilde 1983) overprinted normal oceanic crust, more porous volcanic rocks should be contained in the overprinted crust than in the normal one. The extremely high attenuation of the eHAZ may have been also influenced by such late-coming volcanic activity beneath the Zenisu Ridge. Thus, the SAP distinguished the oceanic crust altered by the volcanism as well as damaged by the intraplate earthquakes from the normal oceanic crust.
High-attenuation stripes in the igneous oceanic crust
Many normal faults and transform faults formed during the several stages of evolution of the Shikoku Basin have been observed in previous bathymetric, geomagnetic and seismic reflection surveys (e.g., Chamot-Rooke et al. 1987; Okino et al. 1994). In the present study, many faults were identified in the sedimentary unit and some of them can be interpreted as active faults by offsetting of reflections at the seafloor (Figs. 2 and 8). However, no faults have been imaged in the igneous oceanic crust on the seismic profile. Since the faults cut the top of the igneous oceanic crust as seen in Fig. 10, the faults must cut into the crust. Based on high-attenuation property of fault zones from VSP data (Worthington and Hudson 2000) and 3D seismic data (Tsuru et al. 2014), the possible downward extension segments of the faults may be imaged as high attenuation. The relationship between the high-attenuation property and fault zone is also supported by the laboratory measurement (Nagata et al. 2008) and the seismological study (Blakeslee et al. 1989).
The high-attenuation stripes observed in the attenuation profile indicate this expected behavior, which is also supported by previous geological studies from the view point of resolution of seismic reflection data: whether or not seismic wave having several hundred meter of wavelength is able to detect physical property of fault zone. For example, Niwa et al. (2015) showed that fault zone consists of a fault core zone (primary slip zone) and fracture zones on both sides of the core zone. The total width of the zones extends several tens meters, being sufficient for seismic reflection survey to observe physical property of the fault zone. Thus, the above geophysical and geological findings are consistent with the interpretation that the high-attenuation stripes represent the downward segments of the faults that were identified within the sedimentary layers. Therefore, using SAP in conjunction with conventional methods, more complete pictures of faults can be visualized.
The most predominant high-attenuation stripe can be seen beneath the sag pond that was bounded by faults A and B (Fig. 10). Why does the stripe there have the most predominant high-attenuation property? If the faults around the sag pond were originally formed as normal faults at the ocean floor spreading and then reactivated as strike-slip faults after the oblique subduction of PSP, all of the faults would show almost uniform attenuation property because those faults were formed by regionally consistent tectonics such as the spreading and the subduction. However, the high-attenuation stripe below the sag pond is outstanding among those around the sag pond. If this outstanding high-attenuation property was caused by weaker fault friction based on the previous laboratory measurement (Nagata et al. 2008), the faults A and B may be interpreted more active than the others at present. Our observation on the seismic profile, which the faults A and B are most predominant active faults around the sag pond, would support this interpretation. Thus, seismic attenuation property might be useful in discussing present activity of fault.
SAP was evaluated to investigate lateral variation in geological structure and fault development within the poorly reflective incoming oceanic crust of the NT. Here are the results:
The oceanic crust altered by volcanism as well as damaged by intraplate earthquakes was visualized as the extremely high-attenuation zone (eHAZ), being distinguished from the normal oceanic crust (HAZ and LAZ).
Faults were imaged as high-attenuation stripes, demonstrating that SAP may contribute to detection of faults in the igneous section of oceanic crust where faults are rarely imaged by conventional seismic reflection methods.
Ando M (1975) Source mechanisms and tectonic significance of historical earthquake derived from tsunami data. Phys Earth Planet Inter 28:320–336
Bandy WL, Hilde TWC (1983) Structural features of the Bonin Arc: implications for its tectonic history. Tectonophysics 99:331–353
Blakeslee S, Malin P, Alvarez M (1989) Fault-zone attenuation of high-frequency seismic waves. Geophys Res Lett 16:1321–1324
Chamot-Rooke N, Renard N, Le Pichon X (1987) Magnetic anomalies in the Shikoku Basin: a new interpretation. Earth Planet Sci Lett 83:214–218
Dasgupta R, Clark RA (1998) Estimation of Q from surface seismic reflection data. Geophysics 63:2120–2128
Harris PE, Kerner C, White RE (1997) Multichannel estimation of frequency-dependent Q from VSP data. Geophys Prospect 45:87–109
Ike T, Moore GF, Kuramoto S, Park JO, Kaneda Y, Taira A (2008) Variations in sediment thickness and type along the northern Philippine Sea Plate at the Nankai Trough. Island Arc 17:342–357
Ishii T, Sato H, Machida S, Haraguchi S, Usui A, Ishizuka O, Taniguchi H, Yagi K (2000) Geological and petrological studies of the Kinan and Izu-Ogasawara-back arc-echelon Seamount Chains. Bull Geol Surv Jpn 51:615–630 (in Japanese with English abstract)
Ito Y, Ito Y, Matsumoto T, Kimura H, Matsubayashi H, Obara K, Sekiguchi S (2005) Spatial distribution of centroid moment tensor solutions for the 2004 off Kii Peninsula earthquakes. Earth Planets Space 57:351–356. https://doi.org/10.1186/BF03352575
Kattenhorn A, Pollard D (2001) Integrating 3-D seismic data, field analogs, and mechanical models in the analysis of segmented normal faults in the Wytch Farm oil field, southern England, United Kingdom. AAPG Bull 85:1183–1210
Kido Y, Fujiwara T (2004) Regional variation of magnetization of oceanic crust subducting beneath the Nankai Trough. Geochem Geophys Geosyst. https://doi.org/10.1029/2003GC000649
Mansfield C, Cartwright J (1996) High resolution fault displacement mapping from three-dimensional seismic data: evidence for dip linkage during fault growth. J Struct Geol 18:249–263
Mochizuki K, Nakahigashi K, Kuwano A, Yamada T, Shinohara M, Sakai S, Kanazawa T, Uehira K, Shimizu H (2010) Seismic characteristics around the fault segment boundary of the historical great earthquakes along the Nankai Trough revealed by repeating long-term OBS observations. Geophys Res Lett 37:L09304
Moore GF, Shipley TH, Stoffa PL, Karig DE, Taira A, Kuramoto S, Tokuyama H, Suyehiro K (1990) Structure of the Nankai Trough accretionary zone from multichannel seismic reflection data. J Geophys Res 95:8753–8765
Nagata K, Nakatani M, Yoshida S (2008) Monitoring frictional strength with acoustic wave transmission. Geophys Res Lett. https://doi.org/10.1029/2007gl033146
Nakanishi A, Shiobara H, Hino R, Mochizuki K, Sato T, Kasahara J, Takahashi N, Suyehiro K, Tokuyama H, Segawa J, Shinohara M, Shimaharu H (2002) Deep crustal structure of the eastern Nankai trough and Zenisu ridge by dense airgun-OBS seismic profiling. Mar Geol 187:47–62
Niwa M, Mizuochi Y, Tanase A (2015) Changes in chemical composition caused by water-rock interactions across a strike-slip fault zone: case study of the Atera Fault, Central Japan. Geofluids 15:387–409. https://doi.org/10.1111/gfl.12096
Obana K, Kodaira S, Kaneda Y (2005) Seismicity in the incoming/subducting Philippine Sea plate off the Kii Peninsula, central Nankai trough. J Geophys Res. https://doi.org/10.1029/2004JB003487
Ogg JG (2012) Geomagnetic polarity time scale. In: Gradstein FM, Ogg JG, Schmitz MD, Ogg GM (eds) The geologic time scale 2012, vol 2. Elsevier, Amsterdam, pp 85–114
Okino K (2015) Magnetic anomalies in the Philippine Sea: implications for regional tectonics. J Geogr 124:729–747 (in Japanese with English abstract)
Okino K, Shimakawa Y, Nagaoka S (1994) Evolution of the Shikoku Basin. J Geomagn Geoelectr 46:463–479
Park J-O, Tsuru T, Kodaira S, Cummins PR, Kaneda Y (2002a) Splay fault branching along the Nankai subduction zone. Science 297(5584):1157–1160
Park J-O, Tsuru T, Takahashi N, Hori T, Kodaira S, Nakanishi A, Miura S, Kaneda Y (2002b) A deep strong reflector in the Nankai accretionary wedge from multichannel seismic data: implications for underplating and interseismic shear stress release. J Geophys Res. https://doi.org/10.1029/2001JB000262
Sakai S, Yamada T, Shinohara M, Hagiwara H, Kanazawa T, Obana K, Kodaira S, Kaneda Y (2005) Urgent aftershock observation of the 2004 off the Kii Peninsula Earthquake using ocean bottom seismometers. Earth Planets Space 57:363–368. https://doi.org/10.1186/BF03352577
Sano Y, Hara T, Takahata N, Kawagucci S, Honda M, Nishio Y, Tanikawa W, Hasegawa A, Hattori K (2014) Helium anomalies suggest a fluid pathway from mantle to trench during the 2011 Tohoku-Oki earthquake. Nat Commun 5:3084. https://doi.org/10.1038/ncomms4084
Seno T, Stein S, Gripp AE (1993) A model for the motion of the Philippine Sea Plate consistent with NUVEL-1 and geological data. J Geophys Res 98:17941–17948. https://doi.org/10.1029/93JB00782
Tonn R (1991) The determination of seismic quality factor Q from VSP data: a comparison of different computational methods. Geophys Prospect 39:1–27
Tsuji T, Park JO, Moore G, Kodaira S, Fukao Y, Kuramoto S, Bangs N (2009) Intraoceanic thrusts in the Nankai Trough off the Kii Peninsula: implications for intraplate earthquakes. Geophys Res Lett 36:L06303. https://doi.org/10.1029/2008GL036974
Tsuji T, Kodaira S, Ashi A, Park JO (2013) Widely distributed thrust and strike-slip faults within subducting oceanic crust in the Nankai Trough off the Kii Peninsula, Japan. Tectonophysics 600:52–62. https://doi.org/10.1016/j.tecto.2013.03.014
Tsuji T, Ashi J, Ikeda Y (2014) Strike-slip motion of a mega-splay fault system in the Nankai oblique subduction zone. Earth Planets Space. https://doi.org/10.1186/1880-5981-66-120
Tsuru T, Sasaki A, Urabe S (2014) Fault seal evaluation by using attenuation effects of seismic reflection data. J. Jpn Assoc Pet Technol 79:54–62 (in Japanese with English abstract)
Tsuru T, No T, Fujie G (2017) Geophysical imaging of subsurface structures in volcanic area by seismic attenuation profiling. Earth Planets Space. https://doi.org/10.1186/s40623-016-0592-0
Worthington MH, Hudson JA (2000) Fault properties from seismic Q. Geophys J Int 143:937–944
Yadav RK, Kundu B, Gahalaut K, Catherine J, Gahalaut VK, Ambikapthy A, Naidu MS (2013) Coseismic offsets due to the 11 April 2012 Indian Ocean earthquakes (Mw 8.6 and 8.2) derived from GPS measurements. Geophys Res Lett 40:3389–3393
Yilmaz O, Doherty S (eds) (1987) Seismic data processing. Investigations in geophysics, vol 2. SEG, Tulsa
TT is responsible in the whole part of the manuscript. JOP contributed to the data acquisition of the seismic reflection survey and the interpretation of attenuation structure. TN contributed the data processing of the seismic reflection data. YK contributed to the correlation between magnetic anomaly and seismic attenuation structure. KN contributed to the interpretation of high-attenuation stripe. All authors read and approved the final manuscript.
Thanks are due to JASMTEC for disclosure of the seismic reflection data of NT501H line and Captains, Seismic Party, and the crew of the R/V KAIREI for their efforts to acquire data of good quality. This study was supported by a Grant-in-Aid for Scientific Research from the Japan Society for the Promotion of Science (No. JP15H05717). We would like to express sincere thanks for the two anonymous reviewers whose comments/suggestions helped improve and clarify this manuscript.
The authors declare that they have no competing interests.
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Tsuru, T., Park, J., No, T. et al. Visualization of attenuation structure and faults in incoming oceanic crust of the Nankai Trough using seismic attenuation profiling. Earth Planets Space 70, 31 (2018) doi:10.1186/s40623-018-0803-y
- Seismic attenuation
- Oceanic crust
- Nankai Trough