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Frequency-dependent amplification of the Sanriku tsunamis in Ryori Bay
Earth, Planets and Space volume 72, Article number: 6 (2020)
In the present study, the local tsunami amplification observed in Ryori Bay, located on the Sanriku coast of Japan, was investigated using numerical simulations. Large-scale tsunami propagation simulations and tsunami inundation simulations for the bay were systematically conducted to estimate and model the 2011, 1933, and 1896 tsunamis that occurred off the Sanriku coast and which resulted in large run-ups. The simulation results, which are moderately consistent with observations, presented larger run-up heights and inundations for the 1933 and 1896 tsunamis (which followed relatively small earthquakes) compared to those of the 2011 tsunami (which followed a larger earthquake). Furthermore, the frequency analysis indicated that the former two tsunamis comprised higher predominant components. A tsunami inundation simulation using parametrized synthetic waveforms was conducted to identify the contributing factors associated with the large amplification and run-ups. The results indicated that the predominant components are significantly amplified in the bay and the initial decrease in the water surface elevation prior to the primary waves of the two tsunamis leads to an increase in their run-up heights. Furthermore, the simulated waveforms of the tsunamis revealed that the 1933 and 1896 tsunamis had their wavefronts changed into a steep wavefront, i.e., a bore-like wave, during their wave developments in the bay, attributed to shoaling, narrowing bay width, and the nonlinear effect of the wave. These results, therefore, indicate that bores which are known to generate large run-up heights were generated in the bay during the two tsunamis.
Located in the Tohoku region and facing the Pacific Ocean, the Sanriku coast of Iwate Prefecture in Japan has experienced large tsunami disasters due to earthquakes that have occurred in the vicinity of the Japan Trench. The 2011 off the Pacific Coast of Tohoku Earthquake that occurred on March 11 was the largest such event ever recorded in the history of Japan. The estimated moment magnitude of the earthquake, Mw, was 9.1 according to the Global Centroid–Moment–Tensor (CMT) Catalogue (Dziewonski and Anderson 1981; Ekström et al. 2012). This earthquake also caused a catastrophic tsunami that resulted in over 15,000 deaths (Mori et al. 2011). The 2011 Tohoku Earthquake Tsunami Joint Survey Group (http://www.coastal.jp/tsunami2011) (TTJS) thoroughly investigated the coastal damage and determined that the heights of the tsunami on the Sanriku coast were substantially large (Mori et al. 2011) because of the proximity of the tsunami source area to the coast, where various intricate bays are located. Many previous studies have proposed source models for the earthquake and the tsunami that facilitate the estimation of the nearshore tsunami behavior, based on various observations (e.g., Ammon et al. 2011; Koper et al. 2011; Fujii et al. 2011; Romano et al. 2012; Yokota et al. 2012; Satake et al. 2013). For example, Satake et al. (2013) developed an earthquake source model that has a length of 500 km and a width of 200 km and is based on a waveform inversion technique using the observed tsunami waveforms (Fig. 1a). Wei et al. (2013) estimated the tsunami inundation based on a source model that was developed by the National Oceanic and Atmospheric Administration within 1.5 h of the earthquake occurring, and the results were in reasonable agreement with observations. Løvholt et al. (2012) used a numerical simulation to investigate the offshore tsunami profiles and the inundations at ten sites along the Japanese coast. Grilli et al. (2013) estimated the distribution of the run-up height and inundation along the Japanese coast and determined that a finer resolution in the computation domain was necessary to reproduce the large tsunami heights observed on the Sanriku coast accurately. Shimozono et al. (2014) conducted a numerical simulation using the observed tsunami waveforms and showed that short wave components in the tsunami had a large influence on the extreme run-up heights observed in small bays along the Sanriku coast. These studies highlighted the importance of offshore wave characteristics on local inundation and run-up, while some previous studies also outlined the importance of local geometries. Mori et al. (2011), for example, determined that the local inundation heights and run-up heights differed significantly, even in locations having close proximity to each other. This indicates that local coastal geometry plays an important role in describing nearshore tsunami dynamics. Based on their simulated results, Shimozono et al. (2012) also determined that local geometry (such as the funeral bay) and resonance characterized the local tsunami variations observed along the Sanriku coast. Based on an exhaustive review of existing studies, the local nearshore dynamics of the 2011 tsunami were significantly influenced not only by offshore wave characteristics, but also by local geometry. Therefore, it is important to investigate the relationship between tsunami waves and local geometry to understand nearshore tsunami dynamics comprehensively.
The Sanriku coast was severely damaged not only by the 2011 Tohoku tsunami, but also by the tsunamis that followed the 1933 Showa Sanriku and 1896 Meiji Sanriku earthquakes. The 1933 earthquake was the largest earthquake hitherto ever reported among normal fault earthquakes, with Mw = 8.5 (Okal et al. 2016), and it caused a large tsunami that resulted in 3000 deaths (Uchida et al. 2016). The 1896 earthquake was an earthquake that generated a relatively larger tsunami, i.e., tsunami earthquake, with Mw = 8.1, and it caused the worst tsunami disaster ever in Japan, resulting in approximately 20,000 causalities (Satake et al. 2017; Kanamori 1972). Large run-up heights of 23, 29, and 38 m were observed at the bayhead in Ryori Bay, located on the Sanriku coast (Fig. 1b), for the 2011, 1933, and 1896 tsunamis, respectively (Kajiura 1977; Miyoshi 1987; Suzuki et al. 2012; TTJS). However, as previously indicated, the moment magnitudes of the 2011, 1933, and 1896 earthquakes were 9.1, 8.5, and 8.1, respectively; thus, because of their smaller moment magnitudes, one would expect the generated offshore tsunamis of the 1933 and 1896 earthquakes to be smaller than those generated by the 2011 earthquake. These observed results indicate that the geometry of Ryori Bay enhanced the run-ups of the 1933 and 1896 tsunamis when compared to the 2011 tsunami. Tsuji et al. (2014) compared historical tsunami heights observed along the Sanriku coast and showed that the heights of the 1933 and 1896 tsunamis were smaller than those of the 2011 tsunami for most of locations on the coast. Tsuji et al. (2014) also concluded that the local geometry was one of the essential factors that explained the local variations in the 1896 and 2011 tsunami heights. Suzuki et al. (2012) focused on the run-up heights of the 2011 and 1896 tsunamis that were observed in Ryori Bay and determined that differences in source characteristics, such as the existence and location of the large slip area and the seawall, might account for the smaller run-up height of the 2011 tsunami compared to the 1896 tsunami. Kajiura (1977) determined that run-up heights greater than 20 m in the 1933 tsunami could be explained by non-breaking standing waves, resonance. However, previous studies have not presented an adequate explanation of the large amplification of the 1933 and 1896 tsunamis in the bay following the smaller earthquakes. Therefore, in the present study, the nearshore behavior of the 1933 and 1896 tsunamis in Ryori Bay is investigated in comparison to the 2011 tsunami, using numerical simulations. This is an attempt to determine how these two tsunamis were amplified in a way that caused an enhancement of their run-up heights.
Numerical modeling of tsunami propagation and inundation
Source models for the three tsunamis
Source models for the three tsunamis first need to be determined to conduct a tsunami propagation/inundation simulation. As previously outlined, many source models have been proposed for the 2011 event (e.g., Ammon et al. 2011; Koper et al. 2011; Fujii et al. 2011; Romano et al. 2012; Yokota et al. 2012; Satake et al. 2013); The source model of Satake et al. (2013) was adopted in the present study for the simulation of the tsunami because their source model reproduces better offshore wave profiles of the tsunami. The characteristics of the other two sources have also been investigated based on observed earthquake and tsunami records (e.g., Obana et al. 2017; Satake et al. 2017; Okal et al. 2016; Abe 1973, 1978). Kanamori (1971), for example, proposed a source model of the 1933 event based on observed seismic data. However, Abe (1978) demonstrated that Kanamori’s model (1971) was insufficient in explaining the initial motion of the 1933 tsunami that was observed on the Sanriku coast and proposed a new source model. Okal et al. (2016) developed a source model of the event that considered the aftershock distribution according to the earthquake and global tsunami records. Tanioka and Satake (1996a), for example, developed a source model of the 1896 event that reflected a shallow slip at the subducting zone. Tanioka and Seno (2001) discussed the additional sea surface deformation of the 1896 tsunami due to horizontal displacements and bathymetry, using the model proposed by Tanioka and Satake (1996a). Satake et al. (2017) re-estimated the source model based on a tsunami waveform inversion technique and compared the estimated slip amounts with that of the 2011 earthquake. Although there are some uncertainties with understanding the two events, many previous studies concluded that the 1933 earthquake was an outer-rise earthquake (e.g., Okal et al. 2016; Christensen and Ruff 1988) and that the 1896 earthquake was an earthquake that occurred at (or near) the plate interface of the subducting zone (e.g., Satake et al. 2017; Tanioka and Satake 1996a). In the present study, the source models of Okal et al. (2016) and Satake et al. (2017) were adopted for the simulations of the 1933 and 1896 tsunamis, respectively. This is because these studies are expected to facilitate improved nearshore tsunami estimation, as their source models are based on the inverse results of using the observed tsunami heights and waveforms. Each source model consists of a number of segments that reproduce better tsunami waveforms (Fig. 1a). For example, the source model of Okal et al. (2016) consists of two segments located in different areas (primary and auxiliary), which provides a better reproduction of the initial tsunami motion (Uchida et al. 2016). Figure 2 displays the estimated co-seismic vertical displacements due to each source model, based on Okada (1985). As seen in the figure, the 2011 earthquake ruptured areas over a wide range with large slips, resulting in large offshore tsunami heights over these areas. The source areas and displacements for the other two earthquakes were moderate in comparison. Although the centroid locations of their source models were completely different, the magnitudes of tsunamis generated during the two smaller earthquakes should therefore be smaller than that of the 2011 earthquake, as mentioned previously.
Numerical models for tsunami propagation and inundation simulations
Firstly, a large-scale tsunami propagation simulation is conducted to estimate how and what kind of tsunami propagates into Ryori Bay. Initial water surface deformation due to the earthquakes is assumed to be equal to the co-seismic vertical displacement (Fig. 2); the additional water surface deformation due to the co-seismic horizontal displacement of the ocean bottom and the ocean bathymetry are further considered based on Tanioka and Satake (1996b). The propagation of each deformation is then numerically solved based on a linear long-wave model in a spherical coordinate system (Yamanaka et al. 2019). The computation domain is obtained from bathymetry data from the General Bathymetric Chart of the Oceans (GEBCO) with a 30 arc-sec resolution (Weatherall et al. 2015); it has a reflective boundary condition along the shores. A time step of 1.0 s is determined for the computation. However, some recent studies indicate the importance of the wave dispersion effect to tsunami propagations (e.g., Saito and Frumura 2009; Saito et al. 2014; Hossen et al. 2015; Tanioka et al. 2018). In particular, according to Tanioka et al. (2018), a normal fault earthquake is capable of generating a substantial dispersive tsunami. Taking the aforementioned into account, a linear dispersive wave model (Yamanaka et al. 2019) is also tested for each propagation, although all the selected source models reflected inverse results based on shallow water theory (i.e., nonlinear or linear long-wave models).
A high-resolution tsunami inundation simulation is then conducted for Ryori Bay based on a nonlinear long-wave model (Goto et al. 1997) using a rectangular coordinate system (Fig. 1b). The 1st order up-wind scheme is applied to the advection terms in the momentum equations; the manning’s roughness is assumed to be 0.03 and 0.025 m−1/3s for land and sea areas, respectively; the moving land–water boundary is modeled the same as Yamanaka et al. (2018) in which the simulated run-up height was validated using the analytical solution for a wave run-up. The domain is constructed based on the M7000 Digital Bathymetric Chart provided by the Japan Hydrographic Association and laser profiler measurements from the Japanese Government’s Ministry of Land, Infrastructure, Transport and Tourism. It should be noted that the tectonic change due to the co-seismic displacement is not taken into account. In the present study, two domains with different resolutions of 6 and 12 m are constructed to evaluate the sensitivity of a resolution to the simulation results. The developed computation domains do not account for the coastal structures around the bayhead. As contour lines for bathymetry extend almost in a directly north–south direction and the sources are located off Ryori Bay, all the three tsunamis are expected to enter the bay from due east (Figs. 1b, 2). Therefore, in the present simulation, the change in water surface elevation with time is specified at the east boundary in the domain based on the propagation simulation, and the advection equation with long-wave velocity is solved to determine fluxes at the north, south, and west boundaries of the sea area. Time steps of 0.06 and 0.075 s are determined for computations with the 6 and 12 m resolution domains, respectively.
Comparisons of simulated and observed run-up heights
Figure 3 compares the simulated maximum run-up heights at the bayhead with the observed heights. In the present study, the maximum elevation in terms of the highest ground level inundated by each tsunami was determined as the simulated maximum run-up height. According to Fig. 3, the present model reasonably reproduced the observed run-up height of the 2011 tsunami. Figure 3a, b also compares the differences in simulated run-up heights when the different resolutions of the computation domain of 6 m and 12 m were applied. The simulation result in the finer resolution domain was better than that in the other resolution domain; however, the difference was insignificant for the simulated run-up heights of the 2011 tsunami. Similar to the simulation results for the 2011 tsunami, those in the finer resolution were better in the case of the 1933 and 1896 tsunamis. However, these differences were also insignificant. The estimation errors for the 1933 and 1896 tsunamis were within 25%. The uncertainty of the source models that were applied may be one of the significant reasons that the simulated run-up heights of the two tsunamis were smaller than those that were actually observed. Goda et al. (2015), for example, discussed the influence of the source uncertainties on the local inundation characteristics. However, because very large run-up heights were indeed simulated for the 1933 and 1896 tsunamis, which is moderately consistent with observation, the simulation results will therefore be useful in investigating the details of the amplification and run-up process of the 1933 and 1896 tsunamis in the bay. Additionally, Fig. 3 demonstrates that the dispersive characteristics of the three tsunamis impacted the simulated maximum run-up heights. However, these impacts were not significant, and the source models were developed based on the shallow water theory. Therefore, in the present study, the following chapters will outline the investigations into the details of the development of the tsunamis based on the simulation results with the 12-m resolution domain and the incident waveforms simulated in the large-scale tsunami propagation simulation using the linear long-wave model.
The offshore wave profile and amplification of the tsunamis in the bay
Figure 4a illustrates the waveforms of the three tsunamis at site A for which the still water depth was 250 m (Fig. 1b), i.e., an incident waveform, simulated based on the large-scale tsunami propagation simulations. This figure demonstrates that the heights of the 1933 and 1896 tsunamis were still smaller than that of the 2011 tsunami. Additional file 1: Figure S1 compared the waveforms simulated by the linear long-wave model and the linear Boussinesq model and demonstrated that dispersive features of the simulated offshore waveforms were not significant. However, phase differences appeared in each pair of the two waveforms; in particular, shorter wave components in the tsunamis were clearly delayed even in their primary waves, i.e., their first waves, if the dispersive characteristics were considered. Therefore, such shorter wave components were responsible for the differences of the simulated run-up heights for each tsunami (Fig. 3); the dispersive features may be considered for better reproductions of inundation characteristics. Based on the results of the high-resolution tsunami inundation simulation, Fig. 4b shows the waveforms of the three tsunamis at the bayhead, i.e., at site B where the still water depth was 1 m (Fig. 1b), together with the peak holds of the simulated maximum run-up heights. As seen in the waveforms for the 2011 tsunami (Fig. 4b), the water surface elevation gradually increased to over 15 m with a short period of fluctuation within 40 min after the earthquake. The shorter period waves were able to generate the large standing waves of the latter wave that were identified approximately 45 min after the earthquake, which correspond to resonant oscillation. Yamanaka et al. (2013), for example, concluded that the 2011 tsunami formed a standing wave near the bayhead based on the analysis of recorded video footage and the numerical simulation. Yamanaka et al. (2019) determined that the standing wave was one of the waves dominated by the bay-scale resonance. In contrast, the peak values of the water surface elevations during the primary waves in the 1933 and 1896 tsunamis at site B were comparable to that of the 2011 tsunami, whereas their offshore tsunami heights were significantly smaller (Fig. 4a, b). Furthermore, the run-up heights for the two tsunamis were maximized during their primary waves, similar to the case of the 2011 tsunami. Figure 4c displays the distribution of the maximum inundation depth in the vicinity of the bayhead after the primary wave and indicates that the three tsunamis have similar inundation areas. Additionally, the inundation depth for the 1896 tsunami was significantly greater than that of the 2011 and 1933 tsunamis. Therefore, these results indicate that a relatively small offshore tsunami is capable of being significantly amplified due to the nearshore bay geometry, thereby causing a large inundation. Figure 5 shows the Fourier amplitudes of the incident waveforms at site A, corresponding to the waveforms described in Fig. 4a. According to the amplitudes, the predominant frequency component corresponding to the maximum Fourier amplitude was approximately 2.6 × 10−4 Hz (64 min) for the 2011 tsunami, while the components were approximately 1.3 × 10−3 Hz (13 min) and 1.8 × 10−3 Hz (9.3 min) for the 1933 and 1896 tsunamis, respectively. These relatively high-frequency components are due to the confined rupture dimensions of the earthquakes, as well as their source depths (Fig. 1a). In particular, their short fault widths would be largely responsible for these because the rupture of fault with a shorter width generates a tsunami with a shorter wave period. Taking these results into account, the differences in the predominant components should therefore be an essential factor in explaining each of the nearshore tsunami behaviors in the bay.
Analysis of the factors that contribute to the observed large run-up heights
A numerical experiment was conducted for Ryori Bay using an incident waveform and the same computation conditions for the high-resolution tsunami inundation simulation described in Chapter 2. The contributing factors for the generation of the large run-up heights observed in the 1933 and 1896 tsunamis, and their influences, are then investigated based on these results and the simulation results for the 1933 and 1896 tsunamis described in Chapters 2 and 3. For the experiment, the incident tsunami waveform was newly introduced as a product of the sinusoidal and the Gaussian functions and expressed using the following equation (Shimozono et al. 2014):
where η0 is the water-surface elevation at the offshore boundary, A0 is the amplitude of the incident tsunami, ω = 2π/T is the angular frequency with a wave period, T, t0 is the time when the peak of the primary wave appears, and α is a coefficient. Equation (1) with α = 1 represents a wave near the one up-pulse. For α = 2, this equation represents a wave in which the initial decrease in the water surface elevation prior to the up-pulse is further enhanced (Fig. 6a). The peak values of the incident waveforms in the 1933 and 1896 tsunamis were smaller than 4 m; in addition, the predominant components for the tsunamis were approximately 1.3 × 10−3 Hz and 1.8 × 10−3 Hz, respectively (Fig. 5). To investigate how sensitive the run-up height is to changes in wave amplitude and wave period, the waveforms based on Eq. (1) with the variable values of α (= 1 and 2), A0 (= 3 m and 4 m), and T (= 5, 7, 10, 15, 20, 30, and 40 min) were then entered at the incident boundary to be propagated into the bay.
Generation mechanism of the large run-up heights
Figure 6b, c summarizes the results of the numerical experiment and demonstrate that the run-up heights tended to become larger as the wave period is reduced. This is because of the frequency dependence of wave development in Ryori Bay; wave development associated with shoaling, narrowing bay width, and the nonlinear effect increases as the wave period becomes shorter [e.g., Yamanaka et al. (2018)]. Figure 6b, c also demonstrates that the simulated run-up height is much more sensitive to changes in the incident wave period than the incident wave amplitude. According to the figures, the simulated run-up heights appeared to peak within a period ranging from approximately 7 to 10 min. Further, the predominant components of the 1933 and 1896 tsunamis, 1.3 × 10−3 Hz (13 min) and 1.8 × 10−3 Hz (9.3 min), were very close to this range. Thus, the predominant frequency characteristics of the two tsunamis that were amplified by the bay geometry had the greatest influence on the observed large run-up heights. Consequently, these tsunamis were capable of causing significant damage in the bay. The incident waveforms with α = 2 within this range, compared to waveforms with α = 1, generated higher run-up heights. Equation (1) with α = 2 introduces an initial decrease in water surface elevation prior to the up-pulse wave in the incident waveform (Fig. 6a). As both the 1933 and 1896 tsunamis involved an initial decrease in the water surface elevations (Fig. 4a and Additional file 1: Figure S1), the run-up of the two tsunamis would, therefore, be further enhanced by the decrease resulting in the increase of the wave height. Tadepalli and Synolakis (1994), for example, showed that a leading depression N-wave further enhances the run-up height compared to a leading elevation N-wave. The ratio of the negative peak value of the water surface elevation prior to the primary wave and the positive peak of the primary wave was approximately − 0.4 for an incident waveform with α = 2. The values for the 1933 and 1896 tsunami waveforms at site A that correspond to the waveforms in Fig. 4a were − 1.3 and − 0.6, respectively. The enhancement of the run-up heights of the two tsunamis due to the initial decrease in the water surface elevation could, therefore, be larger than that expected from the results of the numerical experiment. According to Fig. 6b, c, the incident waveforms with α = 2, in contrast, generated lower run-up heights compared to waveforms with α = 1 when the wave period was longer than 20 min. The numerical simulation with an incident waveform having α = 2 and a longer wave period tend to produce a water surface elevation for the entire computation domain decrease, prior to the primary wave. That might be why the run-up heights were smaller in the case of α = 2 and with the wave period longer than 20 min.
Figure 7 illustrates the temporal waveforms of the 2011, 1933, and 1896 tsunamis during their primary waves along the control line (Fig. 1b). As evident in the figure, the wavefront of the 2011 tsunami has a mild slope because the predominant wave period was quite long. In contrast, the wavefront of the other two tsunamis gradually became steep and generated a bore-like wave around the bayhead under the influence of the narrowing bay width in addition to the shoaling and the nonlinear effect of the wave. Thus, the run-up heights of the two tsunamis observed in the bay might be enhanced as a result that a bore contributing to the generation of large run-ups (e.g., Yeh 1991; Hibberd and Peregrine 1979) was generated. However, shallow water theory does not accurately reproduce a bore propagation because it evolves into transient waves such as breaking bore, undular bore, and waves involving soliton fission that are strongly associated with wave dispersion and wave breaking, as well as nonlinearity of the wave, depending on the characteristics of the wave and the geometry (e.g., Losada et al. 1989; Liu and Cheng 2001; Madsen et al. 2008; Pelinovsky et al. 2015; Sriram et al. 2016). Additionally, the 1st order up-wind scheme applied to the advection terms in the present model reduces the acceleration of the wavefront and wave height due to the numerical diffusion effect. Furthermore, the surge front would appear on wave run-up process if the bore was generated in the vicinity of the bayhead; however, the moving boundary condition of the present model was not validated for that scenario. These reasons, in addition to uncertainties in the tsunami sources and the elevation model, could potentially account for the underestimation of the simulated run-up heights for the 1933 and 1896 tsunamis.
Frequency-dependent amplification characteristics for the 2011, 1933, and 1896 tsunamis
In the present study, a transfer function was introduced, similar to that applied by Yamanaka et al. (2018), to estimate the frequency dependence of the wave amplification in Ryori Bay, based on the simulated waveforms of the three tsunamis. The function, which describes the wave amplification ratio, was calculated as the ratio of the Fourier amplitudes of the waveforms at sites B and A, i.e., at the bayhead and offshore on the incident boundary. The value was determined to be 1.0 at a frequency component where the Fourier amplitude at site A was less than 0.05 m (Fig. 5). In the present study, we only focused on the function with components lower than 3.3 × 10−3 Hz, i.e., longer than 5 min, because the simulated results with time and spatial resolutions of 15 s and 12 m, respectively, may be too coarse to investigate the values for higher components. Figure 8 demonstrates that the functions exhibited a similar trend that was independent of the tsunamis, in that the value peaked at a frequency component of approximately 1.6 × 10−3 Hz (10 min). This component was within the range in which the run-up heights simulated in the numerical experiment were significantly amplified. Therefore, this method will be useful to identify which component is sufficiently amplified to cause large inundations and run-ups on each coast. One of the other important features of the functions was that the value gradually increases as the frequency increases; however, there was a rapid decrease at approximately 2.0 × 10−3 Hz, and the value remained relatively low for components higher than 2.0 × 10−3 Hz. Figure 6b, c also displays similar characteristics, in that the simulated run-up heights became larger as the wave period became shorter, and then decreased at a wave period shorter than 7 min. The most likely explanation may be wave refraction in the bay. Shimozono (2016) analytically examined long-wave propagation in converging bays and showed that waves with relatively short periods are significantly refracted during their propagation into bays. To investigate the wave refraction effect, Fig. 9 illustrates the distributions of the maximum water surface elevation in the bay based on the results of the numerical experiment. The maximum values seem to gradually become large from the bay entrance towards the bayhead in both cases for periods of 5 and 15 min (Fig. 9a, b). However, the distribution for the case of 5 min showed significant variation in the lateral direction of the bay, while that for the case of 15 min exhibited an insignificant variation. To investigate these variations quantitatively, the maximum values along some of the control lines specified in Fig. 9a, b were extracted (Fig. 9c, d). As seen in the case of T = 5 min (Fig. 9c), the maximum water surface elevations along the control lines exhibited significant variations and became locally higher at the boundary between the inundated and non-inundated areas. In the case of T = 15 min (Fig. 9d), the local concentration was relatively smaller than that in the case of T = 5 min and little variation was found along the offshore control line, i.e., the line E. Considering these results together with the results shown in Figs. 6 and 8, the wave refraction effect for Ryori Bay will be strong when the wave period is shorter than approximately 7 min. Consequently, the run-up heights of the wave with a period of 5 min simulated in the numerical experiment and the transfer functions for components higher than approximately 2.0 × 10−3 Hz were insufficiently enhanced (Figs. 6, 8, and 9).
A case study by considering the coastal structures
The 2011 tsunami destroyed coastal structures such as dikes and fishery harbors in the vicinity of the head of Ryori Bay (Yamanaka et al. 2014). According to previous studies, coastal structures were effective in reducing the inundation due to the 2011 tsunami at some sites (e.g., Sozdinler et al. 2015; Adriano et al. 2016). Thus, the effect of coastal structures in Ryori Bay on the simulated run-up heights of the three tsunamis was investigated in this section. Coastal structures including the dike and the harbor were created in the computation domain (Fig. 10a), and their heights were based on documents created after 1990 and provided by Iwate Prefecture. The crown height of the dike was assumed to be 8 m above sea level. However, the widths of all the structures in the domain may not be consistent with these documents because of limitations in the computation resolution. The incident boundary conditions for the three tsunamis were the same as those used in the simulation described in Chapter 2 (Fig. 4a). The present simulations assumed that the structures suffered no damage during the tsunamis and consequently, the results indicated that the structures remained fully intact even after the tsunamis. Figure 10b compares the simulation results based on the 12-m resolution domains with and without the coastal structures. Previous studies have highlighted the influence of coastal structure on the 2011 tsunami at specific sites; however, the figure shows an insignificant influence on the tsunami in the bay. As shown in Fig. 7, the water surface elevation during the tsunami was significantly higher than the crown height throughout the entire bay area because of its substantially long wavelength. In addition, a tsunami with a sufficiently long predominant period will overflow the dike for a long time, indicating that a large amount of the water will be deposited onto an area behind the dike. In this situation, the coastal structures might be inefficient. Nevertheless, despite the run-up height of the 1933 tsunami being insignificantly reduced due to the coastal structures, the run-up height of the 1896 tsunami was significantly reduced (Fig. 10b). As the predominant wave components in the two tsunamis were similar, i.e., 13 min and 9.3 min, respectively (Fig. 5), the heights of the bore-like wave might be responsible for this result. Larger flow velocities must have acted in the vicinity of the coastal structures as the bore height increased. As evident in Fig. 7, the height was likely larger in the 1896 tsunami than in the 1933 tsunami. Consequently, the structures might be efficient in reducing tsunamis with large flow velocities that are accelerated by bore generation. These features also indicate that tsunami damage in a region behind and near coastal structures is determined by the wave height, the period, the velocity associated with kurtosis of the wavefront, the structural condition of coastal structures, and the interactions of all these factors.
In the present study, the 2011 Tohoku, the 1933 Sanriku, and the 1896 Sanriku tsunamis propagating into Ryori Bay were investigated using numerical simulations to estimate the nearshore behaviors including inundation and run-up. The simulation results demonstrated that the 1933 and 1896 tsunamis consisted of critical frequency components for Ryori Bay. Moreover, the initial decrease in the water surface elevations affected the enhancement of the run-up heights. The results also indicated that the wavefronts of the two tsunamis under the influence of shoaling, narrowing bay width, and the nonlinear effect of the wave, became bore-like waves. The frequency-dependent amplification characteristics of tsunamis in the bay were obtained via a numerical experiment and via analysis of the transfer functions. These results indicate that components ranging from approximately 7 to 10 min (from 2.3 × 10−3 to 1.7 × 10−3 Hz) are amplified the most significant, while components at 7 min and shorter generate large refraction waves in the bay, resulting in an insufficient concentration of wave energy at the bayhead.
The results in the present study demonstrate that even small offshore tsunamis can cause large inundation and run-up when they propagate with critical wave components to a nearshore zone. Furthermore, tsunamis involving an initial decrease in water surface elevation and bore could further enhance coastal damage. Therefore, these results indicate that a tsunami following a relatively small earthquake with a magnitude (M) of approximately M8, as well as a tsunami following a large earthquake (approximately M9), can both cause equally severe inundations and large run-ups. Consequently, a tsunami following various earthquake scenarios including magnitudes of M7, M8, and M9 should be estimated for each local coastal area in order to develop appropriate tsunami disaster prevention strategies. Investigating local amplification features at other nearshore zones should be considered in future work.
Availability of data and materials
The presented data are available from the corresponding author on request.
The 2011 Tohoku Earthquake Tsunami Joint Survey Group
General Bathymetric Chart of the Oceans
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We thank the editor and the two anonymous reviewers for their critical comments that have helped to improve the manuscript. We also thank Dr. Takenori Shimozono for his helpful discussions with us on the present study. All figures presented in this paper were printed using the Generic Mapping Tools (GMT) software of Wessel et al. (2013). The laser profiler measurements from the Japanese Government’s Ministry of Land, Infrastructure, Transport and Tourism, were used to construct as the computation domains for the tsunami inundation simulations.
The present study was supported by JSPS KAKENHI Grant Number 18H01541 and partially conducted within the framework of the JSPS Bilateral Joint Research Project (JSPS-STINT).
The authors declare that they have no competing interests.
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Additional file 1: Figure S1. The waveforms simulated in the large scale tsunami propagation simulations. Waveforms at site A specified in Fig. 1(b) based on the large scale tsunami propagation simulations using the linear long-wave model (solid lines) and the linear Boussinesq model (dashed lines). (a) the 2011 tsunami, (b) the 1933 tsunami, and (c) the 1896 tsunami.
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Yamanaka, Y., Nakamura, M. Frequency-dependent amplification of the Sanriku tsunamis in Ryori Bay. Earth Planets Space 72, 6 (2020). https://doi.org/10.1186/s40623-019-1128-1
- 1933 Showa Sanriku tsunami
- 1896 Meiji Sanriku tsunami
- Ryori Bay
- Frequency dependence