Research article | Open | Published:
Three-dimensional mapping and kinematic characterization of mass transport deposits along the outer Kumano Basin and Nankai accretionary wedge, southwest Japan
Progress in Earth and Planetary Sciencevolume 5, Article number: 65 (2018)
Three-dimensional (3D) seismic data from the southern Kumano Basin of southwest Japan image a nested series of moderately sized mass transport deposits (MTDs) that slid from a slope along the seaward side of the forearc basin. The deposits are dated to be approximately 0.3 to 0.9 Ma. These MTDs are likely linked to the movement along a prominent out-of-sequence thrust (OOST) fault, regionally steeper slopes that would have existed during deposition, and shifts in sedimentation over the past 0.9 Ma. The spatial resolution provided by the 3D seismic data permits the identification of kinematic characteristics and the internal geometries of the MTDs which total over 2.8 km3 in volume and cover more than 59 km2 of the seafloor at various stratigraphic levels. Each MTD is well imaged and exhibits various kinematic indicators while most of the basal glide planes and original headwall scarps above the deposits have been partially or fully eroded by subsequent MTDs. There are at least seven individual deposits that range in volume from 0.005 to 1.16 km3, in area from 0.2 to 21.8 km2; have runouts between 0.55 and 7.9 km, and generally translate downslope from the SE to NW. Basal, internal, and top surface kinematic indicators, such as grooves, thrust and fold systems, and pressure ridges, show that these MTDs originate from a prominent slide scar recognized in the high-resolution regional bathymetry. This, combined with a regionally shifting depocenter and faulting related to the earthquake cycle, points to regional tectonic activity as being the most likely failure trigger for these nested landslides.
Subaqueous landslides occur in many different environments all over the world including both active and passive margins, along the flanks of volcanic islands, and river deltas (Prior and Coleman 1978; Moore et al. 1989; Lee 2009) and can occur on a great variety of slopes (ranging from < 0.01° to vertical (Prior and Coleman 1978)). These slides can be devastating to seafloor infrastructure via high-speed turbidity currents and to coastal communities in the form of tsunami (Bondevik et al. 1997; Bardet et al. 2003; Satake 2012). Characterization by their size, shape, and kinematics allows us to better understand how they initiate and translate downslope to the point at which they arrest (Ward and Day 2002).
The movement of the failed mass from the source of failure to the point of arrestment can be analyzed and described using kinematic indicators present in either seismic data (Prior et al. 1984; Bøe et al. 2000; Gee et al. 2005, 2006) or outcrops (Farrell 1984; Lucente and Pini 2003; Matheus et al. 2017). In a general sense, kinematics describes the motion of bodies without the consideration of the body’s mass or forces that caused its motion. Here, we follow Bull et al. (2009) in defining “kinematic indicator” as a geologic structure or feature which records information related to the type and direction of motion at the time of emplacement. This information is of great use in helping us understand the motions involved with slide initiation, evolution during translation downslope, and cessation. Additionally, because of the complex nature of submarine landsliding, many variably active processes are likely involved in each mass movement. This leads to a litany of potential classifications and terminology. Here, we chose to simplify the classification of deposits from various mass movements identified in the data as simply “mass transport deposits” (MTDs).
This study represents a unique opportunity to analyze several Quaternary MTDs via a 3D seismic reflection survey in the Kumano Basin along the Nankai accretionary prism. Some of these MTDs were previously identified by Moore and Strasser (2016); however, no kinematic analysis was performed nor was a reconstruction of the original slope attempted. Because they are fully imaged in the 3D survey, a complete analysis of kinematic indicators and morphology is possible. A kinematic analysis of these MTDs should provide greater insight into the depositional environment in which sliding occurred and determine a possible explanation as to the origin of a prominent seafloor scar (Lackey et al. 2018).
Regional setting and study area
The Kumano Basin is within the Nankai Trough subduction zone where the Philippine Sea Plate is presently subducting under the Amur Plate at a rate of 4 to 6 cm yr−1 (Seno 1989). The NW oblique subduction has led to the creation of an accretionary prism spanning roughly 700 km, with the overall oblique slip being apportioned along a large right-lateral strike-slip fault, known as the Median Tectonic Line, landward of the prism (Fitch 1972; Taira 2001). The accreted sediment is primarily terrigenous detritus from Honshu Arc, Japan, and hemipelagic deposits on the Philippine Sea Plate (Underwood and Moore 2012). The upper part of the hemipelagic section from the Philippine Sea Plate is accreted while the lower part is subducted beyond the inner prism (e.g., Kinoshita et al. 2009; Kimura et al. 2011; Strasser et al. 2011; Strasser et al. 2012; Underwood and Moore 2012; Moore et al. 2014). The inner prism is overlain by the Kumano Forearc Basin which has formed over approximately the past 1.95 to 2.0 Ma behind the outer ridge that is believed to be the result of the movement along the megasplay fault (Gulick et al. 2010; Moore et al. 2015). The seismic recurrence interval of roughly 100 to 200 years for large earthquakes has been well established for Nankai (Ando 1975). The rapid growth of the accretionary prism is an important factor for large, repeated earthquakes in this subduction zone setting (Ruff and Kanamori 1980).
The present study area is within the Kumano Forearc Basin just landward of the outer ridge of the accretionary prism (Fig. 1). The 3D seismic data used for this study covers roughly 275 km2 (Moore and Strasser 2016) and is located entirely within the transition zone of the accretionary prism between 35 and 50 km from the deformation front (Kimura et al. 2007). Seafloor depths vary from 1700 m seaward of the study area to 2100 m landward. Notable characteristics include numerous faults in both the 3D data and bathymetry, temporally sequential landslide scars, and an absence of surficial landslide deposits (e.g., Strasser et al. 2009; Moore et al. 2013; Lackey et al. 2018).
To identify MTDs and kinematic indicators, we interpreted several prominent horizons throughout our 3D seismic survey, including basal shear surfaces (BSS), tops of MTDs, and various depositional layers. Amplitude and coherency data are then displayed on these horizons to highlight geomorphic structures and kinematic indicators with the goal of reconstructing the various MTDs to their original positions. To validate the conclusions drawn from the data, we compare our results to other subaqueous landslide kinematic studies (e.g., Frey Martinez et al. 2005, 2006; Gee et al. 2005, 2006; Bull et al. 2009; Moore and Strasser 2016) that utilize 3D seismic reflection data.
The full 3D survey covers roughly 12 km × 56 km extending from the Kumano Basin seaward to the frontal thrust in the dip direction (Fig. 1). The acquisition occurred aboard the M/V Nordic Explorer during April to May 2006 under contract by Petroleum Geo-Services (PGS). Two sound source arrays (totaling 51 L or 3090 in.3) were utilized and fired alternately at 37.5 m shot intervals. The survey used four 4500 m long receiver cables spaced 150 m apart with 360 receiver groups at 12.5 m spacing. This geometry yielded eight source-receiver common midpoint (CMP) lines per sail line at 37.5 m spacing (Moore et al. 2009). The interval between the lines and cross lines of the resulting data set is 18.75 m and 12.5 m, respectively. The vertical resolution is ~ 5–7 m near the seafloor, degrading to ~ 10–20 m at depths near 1400 m below seafloor (mbsf; Moore et al. 2009). Standard pre-processing to reduce noise preceded pre-stack depth migration (PSDM) and produced a clear seismic image in depth (Moore et al. 2009). For the seaward part of our area, we were able to use a reprocessed version of the 3D data set that produced much higher-resolution images of the sedimentary section (Shiraishi et al. 2018).
High-resolution bathymetry data analyzed for surficial MTDs has been acquired during R/V Sonne Expedition 251 in October 2016 (Strasser et al. 2017). The R/V Sonne is equipped with an EM 122 KONGSBERG multibeam echosounder (MBES) operated at 12 kHz. The transducers have a nominal opening of 0.5° in along-track direction and 1° in across-track direction. The MBES recorded 433 individual beams across track within a swath of 120°. Actual sound velocity profiles were recorded with the ships CTD and inserted as the basis for optimized performance. Data were processed with software MB-System (Caress and Chayes 1996).
Coring of the Kumano Basin sediments was accomplished on Integrated Ocean Drilling Program (IODP) Expeditions 315 (Kinoshita et al. 2009) and 338 (Strasser et al. 2014) (Fig. 1). The cored interval consists of hemipelagic mud and numerous thin interbeds of normally graded silt, sandy silt, and sand with local layers of volcanic ash (Underwood and Moore 2012). For a more detailed analysis of the core data, see Underwood and Moore (2012). These data demonstrate that nearly all the basin fills accumulated within the last 1.6 Ma.
MTD recognition and kinematic indicators
MTDs are typically identified by their internal chaotic reflection character or semitransparent to transparent seismic character. Once a MTD is identified, other seismic indicators (e.g., hummocky reflections, truncations of stratigraphic layers, folds, and thrusts) are used to characterize the remainder of the MTD. For the purposes of this study, we subdivide each MTD into three domains based on which kinematic indicators are most likely to occur in a typical “tripartite” MTD anatomy (Martinsen 1994; Lastras et al. 2002): the headwall, translational, and toe domains (Fig. 2). While there is almost always an overlap between these domains, it is important to have a clear delineation between them to properly study the kinematic indicators in the data.
The two prominent kinematic indicators in this region are headwall scarps and extensional ridges and blocks that represent the extensional, upslope portion of the MTD (Bull et al. 2009). Crown cracks may also develop upslope of the primary headwall scarp (Fig. 2).
The translational domain is defined as the main body of failed material that has moved downslope. It is subdivided into four sections based on their differing physical parameters: lateral margins, basal shear surface, internal MTD body, and top MTD surface (Martinsen 1994; Frey Martinez et al. 2005; Bull et al. 2009).
Characterized by an overall convex-downslope morphology, the toe domain represents the region of downslope termination of the main MTD body and is characterized by thrust and fold systems and pressure ridges (Prior et al. 1984; Frey Martinez et al. 2005). Frontally confined MTDs are those where the toe domain exhibits impressive thrust and fold systems that are buttressed against stratigraphically equivalent undisturbed strata downslope while frontally emergent MTDs are able to ramp up from the original basal shear surface and translate freely across the seafloor (Frey Martinez et al. 2006) (Fig. 3).
We identified seven individual MTDs in the 3D data that range in volume from 0.005 to 1.16 km3, in area from 0.2 to 21.8 km2, have runouts between 0.55 and 7.88 km, and generally translate downslope from the SE to NW. The MTDs total over 2.8 km3 in volume and cover more than 59 km2 of the seafloor at various stratigraphic levels. The MTDs have been designated as MTD 1 through MTD 7 based upon their relative temporal occurrences with MTD 1 being the oldest. Measurements for all MTDs are summarized in Table 1. Additionally, three surficial MTDs were identified in high-resolution bathymetry that were not fully resolvable in the 3D seismic data.
Kinematic indicators for the headwall domain were difficult to identify in the data. While headwall scarps were partially or fully identified in most of the MTDs, extensional blocks were completely absent.
Although evidence for headwall scarps exists for most of the landslides, most of them could not be fully identified (Figs. 4, 5, 6, 7). All headwall scarps are located under a prominent complex landslide scar identified by Lackey et al. (2018) except for MTD 2. Because of the overlapping nature of their locations, we believe that the difficulty in identifying full headwall scarps is due to erosion by subsequent mass failures at higher stratigraphic levels. This is especially true for MTDs 1, 3, and 6 as there are no discernable headwall scarps in the data leading us to conclude that they have been fully eroded (Figs. 4b, 5b, 7b). Additionally, only a portion of the headwall scarp was identifiable for MTD 4 (Fig. 6b).
Extensional ridges and blocks
No extensional blocks were identified for any of the MTDs. The most likely reasons for their absence are that the headwall regions were fully evacuated of material, subsequent erosion by stratigraphically higher failures (as with the headwall scarps), or insufficient resolution of the data. All headwall regions appear to be void of any failure material, indicating that any extensional blocks that may have formed continued to translate downslope and become blocks in the translational domain or fully disintegrated into the MTD matrix. Because we believe many of the headwall scarps were eroded by subsequent mass failures, it is also likely that any extensional blocks that may have remained immediately after failure were also eroded.
The majority of the kinematic indicators found in the data are located in the translational domain. Lateral margins, ramps, and flats are well represented in the data. We believe this domain to be so well represented due to its containing the bulk of the failed material for each MTD and because almost all the translational domains were well preserved and imaged when compared to the headwall and toe domains.
All MTDs have lateral margin scarps that are visible in the data. Some of the margins are easily interpreted for the entire MTD (Figs. 4b, 6b) while others have either been eroded by subsequent mass failure (Fig. 5b) or are not fully resolvable in the data (Fig. 7b). En-echelon sigmoidal segments are imaged in MTDs 1, 3, and 4 (Figs. 4d, 5d, 6d). Only portions of the lateral margins exhibit these segments, and in each instance, the segments are only 50 to 100 m in length.
There was added difficulty in the accurate identification of lateral margins as the strata are offset by numerous faults throughout the 3D volume (Moore et al. 2013). To overcome this, seismic amplitude and coherency are displayed onto interpreted horizons that are then structurally flattened (Fig. 8). When viewing an internal amplitude slice using MTD 1’s structurally flattened basal shear surface, a linear break in amplitude appears upslope of the main body of failed material (Fig. 4b). The orientation of this linear feature is consistent with the MTD’s other kinematic indicators such as grooves found in the basal shear surface. These data support an interpretation that this linear feature is most likely a lateral margin.
Basal shear surface
The basal shear surfaces for all MTDs are mapped to their fullest extent possible. Many of the surfaces are incomplete due to uncertainties in the data from ubiquitous faulting throughout the data set or due to erosion from subsequent mass failures. Grooves appear in the basal shear surface of only MTD 1 and are made visible only by displaying amplitude data onto a structurally flattened basal shear surface. The fact that they do not show in seismic cross section suggests that these features are near the limit of the data’s resolution. This could also explain their absence in the remainder of the MTDs.
Flats are present in all the MTDs as all their basal shear surfaces are primarily parallel to the local stratigraphy. Ramps, however, are only located in MTDs 3, 4, 5, and 6 (Figs. 5c, 6c, and 7c) and all trend perpendicular to their MTD’s primary flow direction. The absence of parallel trending ramps, by definition, means that slots are also absent from the data (Bull et al. 2009). Additionally, there are no instances of the basal shear surface ramping down and cutting into the underlying stratigraphy, only ramping up to higher stratigraphic levels.
None of the MTD basal shear surfaces exhibit signs of striations. As these features are caused by outrunner blocks (of which there was none identified), their absence is not a surprise. It is possible, however, that these features exist, especially for the MTDs that are partially or fully emergent and are simply unresolvable in the data.
Internal MTD body
Translated blocks were identified in MTDs 1, 3, and 4 (Figs. 4a, 5a, 6a). Their absence in the remaining MTDs likely has a connection with their average thickness (Table 1). Because each stratigraphic horizon is roughly equal to the vertical resolution of the data, a block would need to be at least 20–28 m (× 4 the vertical resolution) in height to be easily distinguishable from the surrounding strata. The average thickness of MTDs 2, 5, 6, and 7 is 20–26 m. Therefore, any blocks within the failed mass of these MTDs could have been easily overlooked as belonging to the local stratigraphy. This may also explain the absence of remnant and outrunner blocks as neither of these block types were identified for any of the MTDs.
Outside of the toe domain’s thrust and fold systems, folds were not identified in any of the MTDs. Given the large degrees of deformation and the runouts for these deposits, it is unlikely that folding did not take place during emplacement. Therefore, the most likely explanation for their absence is that they are below the resolution of the data as folding has been identified in sub-seismic scale failures in outcrop (Farrell 1984; Lucente and Pini 2003; Matheus et al. 2017).
Top MTD surface
Only MTD 1 exhibited a kinematic indicator from the top surface. A second-order flow fabric was identified above and around a translated block (Fig. 4b). The likely explanation for this fabric centers around the MTD’s translated block. It likely became buttressed against the lateral margin of the MTD, causing the failed material to be forced around the flow obstruction which leads to thrusting within the failed mass and a secondary fabric in the top surface (Fig. 4b).
There were no instances of longitudinal shear zones in any of the MTDs. The majority of these types of kinematic indicators have been found on much larger MTDs in other places around the world (Masson et al. 1993; Gee et al. 2005; Gafeira et al. 2007). Therefore, we believe that the MTDs in this study are either too small to exhibit such differences in flow speed within the failed mass or that this indicator is simply not resolved in the data.
The toe domain is identified on all MTDs. However, although the toe of MTD 6 was identifiable, it lacked any kinematic indicators within the domain (Fig. 7). The most likely explanation for this absence is that the toe domain is not thick enough to either contain or resolve any of the indicators. Also unique to MTD 6 were a hummocky terrain and turbidite located beyond the toe domain. Their existence is likely due to the amount of material scoured from MTD 4 during the emplacement of MTD 6 (eroded BSS; Fig. 6).
The toe domain of MTD 1 also proved difficult to map. A strong bottom-simulating reflector (BSR) caused by gas hydrate accumulations is imaged 200–400 mbsf across the entire area of interest within the 3D seismic volume (Miyakawa et al. 2014). This led to inaccuracies in mapping the toe domain of MTD 1, causing kinematic indicators that would otherwise be visible to be either partially or fully obscured (Fig. 4).
Thrust and fold systems
Thrust and fold systems were identified in MTDs 1, 3, 4, and 5 (Figs. 3c, 5c, and 6c). The confined nature and thickness of these MTDs are the primary causes of the thrust and fold systems. Of note, MTDs 3 and 4 both display pop-up block systems while MTDs 1 and 5 exhibit simple thrust systems. It is possible, however, that MTD 1 also contains pop-up blocks as its thickness is similar to that of MTD 3. The BSR that obscures MTD 1’s toe domain may simply prevent the pop-up blocks from being resolvable (Fig. 3c).
MTDs 2 and 7 both exhibit pressure ridges in their toe domains. Because thrusts are typically found in conjunction with pressure ridges in outcrop (Masson et al. 1993; Gee et al. 2005; Gafeira et al. 2007), it is likely that some sort of thrust system exists in both MTDs and are simply too small to resolve in the 3D data.
The seafloor scar identified by Lackey et al. (2018) appears to contain at least three surficial MTDs that could not be fully identified in the 3D data (Fig. 9b). These MTDs are clearly visible as seafloor features in high-resolution bathymetry (Strasser et al. 2017). Their absence from the 3D data is likely due to their relatively small scale and their recent occurrence. Because they are recent failures, they have yet to be buried and will, therefore, be poorly imaged in 3D seismic data. While kinematic indicators from these surficial MTDs cannot be identified in the 3D data, they are still important in understanding the evolution of the seafloor with respect to this study.
The MTDs identified in this study exhibit numerous kinematic indicators that enable us to determine the spatial and relative temporal origin of each failure. We have reconstructed each of the failures to their original positions and, using the local stratigraphy, temporally sequenced each failure in the most probable order (Fig. 10). Each of the MTDs (with the notable exception of MTD 2) appears to originate stratigraphically below the seafloor scar identified by Lackey et al. (2018). These, combined with the three surficial deposits that could not be identified in the 3D data, fully explain the geometry of the scar.
We interpret the scar’s location to be associated with the local depositional and tectonic environment over the past 0.9 Ma. All MTDs are located within the stratigraphic sequences Kumano 4–Kumano 1 identified by Gulick et al. (2010). Kumano 4 is the oldest of these sequences, with deposition beginning ~ 0.9 Ma. During this time, motion along a prominent out of sequence thrust (OOST) was reactivated, potentially by the continued subduction of a seamount on the Philippine Sea Plate (Kimura et al. 2011; Moore et al. 2013), causing the outer forearc to continue tilting landward as it had during the deposition of the Kumano 8 sequence ~ 1.2 Ma (Moore et al. 2015). A series of normal faults that are spatially correlated with a SW uplift penetrates through the Kumano 5 and Kumano 4 sequences but does not penetrate the Kumano 4 sequence boundary (K4) (Fig. 11b). This indicates that the uplift took place rapidly and ceased by ~ 0.3–0.44 Ma (Moore et al. 2015). This rapid uplift and resultant slope steepening coupled with seismic loading could explain the occurrence of MTDs 1 and 2 since they are fully contained within the Kumano 4 sequence and are spatially correlated. Of note, there is a lack of MTDs in stratigraphic sequences older than the Kumano 4 sequence. We believe this to be because of the hiatus in tilting (a key preconditioning factor) between the deposition of Kumano sequences 5–7 (Moore et al. 2015).
MTDs 3–7 and the surficial MTDs occur within or above the Kumano 3 sequence, making them < 0.3–0.44 Ma in age and indicating potentially different causal mechanisms. Kumano sequences 3–1 thicken in the landward direction from < 50 m in the seaward region to > 600 m toward the basin center (Moore et al. 2015). Isopach maps created by Moore et al. (2015) show a general widening and NW shift of the basin depocenter over time (Fig. 12). This shift has led to a decrease in deposition around the seafloor scar since 0.3–0.44 Ma and is the most likely explanation for the general decrease in the size of the MTDs over time. We infer this because, as sediment deposition decreases with time, there will be less material available to slide. Additionally, the edge of the forearc basin ceased tilting by the deposition of K4 as evidenced by the onlapping relationships of the Kumano 4–1 sequences (Gulick et al. 2010). Because neither local steepening nor high rates of sedimentation occurred during the emplacement of MTDs 3–7 or the surficial MTDs, another causal mechanism likely exists.
The Nankai region has a well-documented and regular history of small and great earthquake activity (Ando 1975; Kimura et al. 2011). Great earthquakes along the margin are documented as far back as 648 AD with a recurrence interval of 100 to 200 years (Ando 1975). If a splay fault, such as the Nankai megasplay, ruptures co-seismically, amplification of seismic ground shaking can occur within the hanging wall (Abrahamson and Somerville 1996). This has been suggested for Nankai and other splay fault systems (e.g., Plafker 1972; Tanioka and Satake 2001; Baba et al. 2006), thereby representing a plausible causal link between seismic loading and slope failure. However, as noted by Moore and Strasser (2016), the recurrence interval for landsliding in the Kumano Basin appears to be about 0.05 to 0.1 Ma, which is much less frequent than the recurrence interval for Nankai’s great earthquakes. Kremer et al. (2017) suggested that this difference could be due to slopes being preconditioned to fail because of climate forcing during interglacial periods. However, they were unable to resolve the relative contributions of tectonic versus climate preconditioning factors, and Urlaub et al. (2013) showed that the ages of landslides on passive margins can be described by a temporally random Poisson distribution and therefore do not show a positive correlation between the frequency of major slope failures on passive margins and sea level changes during the past 0.18 Ma. Another possibility is that the extent of updip rupture propagation along the megasplay fault is not always sufficient to cause slope failure. Ikari et al. (2011) found that the triggering of slope failure for a statically stable slope by a Mw 6–8 earthquake requires the megasplay to rupture within 12 km of the slope.
Shear strengthening (Locat et al. 2002; Lee et al. 2004) could also be an explanation as to why failure is less frequent than the great earthquake recurrence interval, especially for Mw 6–8 earthquakes (Ikari et al. 2011). An instantaneous increase in pore pressure is induced on saturated, fine-grained sediment during an earthquake. This temporarily weakens the sediment. However, if it is not weakened to the point of failure, the pore pressure diffuses over time permitting the sediment to become over-consolidated. Therefore, an earthquake that does not cause slope failure could lead to an increase in the slope’s shear strength that increases its resistance to future failures (DeVore and Sawyer 2016). A resistance to future failure implies that either an even larger earthquake would be required to initiate sliding or another causal mechanism is ultimately at work such as the activation of a fault.
Three normal fault populations exist in the study area. The youngest population (phase 3; Sacks et al. (2013); Moore et al. (2013)) tends to cut the upper strata of the forearc basin and manifest as scarps on the seafloor which have been identified in this study. Sacks et al. (2013) proposed a mechanism, via the earthquake cycle, by which the differing orientation of these fault populations and the arcuate geometry of the faults associated with our study originated. During the late inter-seismic period, faults perpendicular to the trench can undergo slip, while faults oriented parallel to the trench undergo slip during post-seismic extension. Additionally, Moore et al. (2013) showed that these faults are likely short-lived rather than regional phenomenon as they lack growth structures. These two conclusions support the idea that these faults occur in conjunction with the earthquake cycle.
A landslide does not occur during each seismic event, possibly in part to the effects of shear strengthening. However, landsliding can occur because of the change in the regional stress regime during the post-seismic phase of the earthquake cycle leading to favorable normal faulting conditions that strike parallel to the trench axis. Because all of the MTDs in this study (except for MTDs 1 and 2, likely caused by local over steepening a seismic loading) appear to have headwall scarps either on or near a trench parallel fault within the youngest of Sacks et al.’s (2013) populations, we propose that the primary final trigger mechanism for these nested MTDs is failure as a result of faulting during the post-seismic relaxation of the accretionary prism or massive megathrust earthquakes along the megasplay fault.
A series of nested MTDs is imaged using both 3D seismic data and high-resolution bathymetry in the outer forearc of the Kumano Basin. The nested nature of the observed MTDs and the stratigraphic sequences in which they occur show how sedimentation of the Kumano Basin and tectonic activity of the Nankai accretionary prism affect local mass wasting. We use kinematic indicators from the observed MTDs to reconstruct a prominent seafloor scar. Local slope over-steepening from a rapid uplift SW of the study area possibly coupled with seismic loading caused the initiation of landsliding in the study area ~ 0.9 Ma. Subsequent failures likely occurred because of faulting caused by post-seismic relaxation of the accretionary prism and seismic activity from 0.3–0.44 Ma to present.
Common midpoint gather
International Ocean Drilling Program
Mass transport deposit
Pre-stack depth migration
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The new bathymetric compilation was made possible by the hard work of the SO251 Hydroacoustic Group (C. dos Santos Ferreira, K. Bachmann, K. Lange, J. Moernaut). We thank two anonymous reviewers for the comments that greatly improved the manuscript and Paradigm Geophysical and Blue Marble Geographics for making their software available to us. SOEST Contribution # 10345.
This work was supported by grants from the National Science Foundation, the US Science Support Program, the German Ministry of Science and Education (BMBF) through funding (grant 03G0251A) of the RV Sonne cruise SO251 that acquired the bathymetric data, and the Austrian Science Foundation (grant P29678-N28 to M.S). The 3D data reprocessing was supported by the Japan Society for the Promotion of Science (JSPS) through a KAKENHI Grant-in-Aid for Scientific Research S (JP15H05717) and by the Ministry of Education, Culture, Sports, Science, and Technology (MEXT) through management expense grants at the Research and Development Center for Ocean Drilling Science (ODS) and the Center for Deep Earth Exploration (CDEX) of Japan Agency for Marine-Earth Science and Technology (JAMSTEC).
Availability of data and materials
The 3D seismic reflection and bathymetry data sets are available on request from G. Moore (email@example.com).
The authors declare that they have no competing interest.
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