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Tsunami simulations of mega-thrust earthquakes in the Nankai–Tonankai Trough (Japan) based on stochastic rupture scenarios

Katsuichiro Goda, Tomohiro Yasuda, P. Martin Mai, Takuma Maruyama and Nobuhito Mori
Geological Society, London, Special Publications, 456, 55-74, 22 February 2017, https://doi.org/10.1144/SP456.1
Katsuichiro Goda
1Department of Civil Engineering, University of Bristol, Queen's Building, University Walk, Bristol BS8 1TR, UK
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Tomohiro Yasuda
2Faculty of Environmental and Urban Engineering, Kansai University, Osaka 564-8680, Japan
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P. Martin Mai
3Earth Science & Engineering, King Abdullah University of Science & Technology, Thuwal 23955-6900, Saudi Arabia
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Takuma Maruyama
4Disaster Prevention Research Institute, Kyoto University, Kyoto 611-0011, Japan
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Nobuhito Mori
4Disaster Prevention Research Institute, Kyoto University, Kyoto 611-0011, Japan
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  • Fig. 1.
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    Fig. 1.

    Subduction region of the Nankai–Tonankai Trough showing geographical areas and colour-coded contour lines of depth to the fault plane. Grey boxes mark the sub-faults of the 2012 CDMC model.

  • Fig. 2.
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    Fig. 2.

    Rupture cases (1)–(11) for the 2012 CDMC model. Note the variations in location and values of maximum fault slip, as well as the variable mean slip (hence, variable total seismic moment).

  • Fig. 3.
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    Fig. 3.

    Flowchart for generating stochastic earthquake slip realizations and kinematic rupture processes.

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    Fig. 4.

    Slip distribution modelling: (a) simulated slip distribution prior to non-linear scaling of slips and adjustments; (b) final simulated slip distribution after non-linear scaling of slips and adjustments; and (c) histogram of the final simulated slip distribution.

  • Fig. 5.
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    Fig. 5.

    Generation of hypocentre locations (the colour range is between 0 and 1): (a) preliminary probability density function for hypocentre locations; (b) constraints based on large and very large asperity areas; and (c) final probability density function for hypocentre locations.

  • Fig. 6.
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    Fig. 6.

    Kinematic rupture process from 0 to 180 s (the colour range is between 0 and 10 m).

  • Fig. 7.
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    Fig. 7.

    Stochastic slip distributions: (a) west slip pattern 1; (b) west slip pattern 2; (c) middle slip pattern 1; (d) middle slip pattern 2; (e) east slip pattern 1; and (f) east slip pattern 2.

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    Fig. 8.

    Maximum wave-height contours in Shikoku: (a) west slip pattern 1; (b) west slip pattern 2; (c) middle slip pattern 1. (d) middle slip pattern 2; (e) east slip pattern 1; and (f) east slip pattern 2.

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    Fig. 9.

    Maximum wave-height contours in Tokai: (a) west slip pattern 1; (b) west slip pattern 2; (c) middle slip pattern 1. (d) middle slip pattern 2; (e) east slip pattern 1; and (f) east slip pattern 2.

  • Fig. 10.
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    Fig. 10.

    (a) 100 tsunami wave profiles off Kochi, (b) 100 tsunami wave profiles off Hamamatsu, (c) statistics of 100 tsunami wave profiles and average wave profiles for west/middle/east slip patterns off Kochi, and (d) statistics of 100 tsunami wave profiles and average wave profiles for west/middle/east slip patterns off Hamamatsu.

  • Fig. 11.
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    Fig. 11.

    Maximum wave-height predictions along the coastal line: (a) Shikoku and (b) Tokai.

  • Fig. 12.
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    Fig. 12.

    Tsunami inundation results in Kochi: (a) elevation data; (b) cumulative probability distribution of inundation areas above 1 m depth; (c) inundation depth distribution at 50th percentile; (d) inundation depth distribution at 90th percentile; (e) slip distribution corresponding to the 50th percentile inundation map; and (f) slip distribution corresponding to the 90th percentile inundation map.

  • Fig. 13.
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    Fig. 13.

    Tsunami inundation results in Hamamatsu: (a) elevation data; (b) cumulative probability distribution of inundation areas above 1 m depth; (c) inundation depth distribution at 50th percentile; (d) inundation depth distribution at 90th percentile; (e) slip distribution corresponding to the 50th percentile inundation map; and (f) slip distribution corresponding to the 90th percentile inundation map.

Tables

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    Table 1.

    Summary of stochastic earthquake slip simulation parameters

    Model parameterDistribution typeMeanStandard deviation[Lower, Upper]
    Correlation length in downdip direction (km)Truncated normal distribution with lower and upper bounds5020[30, 70]
    Correlation length in along-strike direction (km)10050[50, 150]
    Hurst number0.80.2[0.6, 1.0]
    Box–Cox power0.20.1[0.1, 0.3]
    Mean slip (m)93[6, 12]
    Maximum slip (m)5010[40, 60]
    Rise time (s)6010[50, 70]
    Rupture velocity (km s−1)2.50.5[2.0, 3.0]
    Depth limit for the asperity areas (km)–––[1, 10]
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Geological Society, London, Special Publications: 456 (1)
Geological Society, London, Special Publications
Volume 456
2018
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Tsunami simulations of mega-thrust earthquakes in the Nankai–Tonankai Trough (Japan) based on stochastic rupture scenarios

Katsuichiro Goda, Tomohiro Yasuda, P. Martin Mai, Takuma Maruyama and Nobuhito Mori
Geological Society, London, Special Publications, 456, 55-74, 22 February 2017, https://doi.org/10.1144/SP456.1
Katsuichiro Goda
1Department of Civil Engineering, University of Bristol, Queen's Building, University Walk, Bristol BS8 1TR, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: [email protected]
Tomohiro Yasuda
2Faculty of Environmental and Urban Engineering, Kansai University, Osaka 564-8680, Japan
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
P. Martin Mai
3Earth Science & Engineering, King Abdullah University of Science & Technology, Thuwal 23955-6900, Saudi Arabia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Takuma Maruyama
4Disaster Prevention Research Institute, Kyoto University, Kyoto 611-0011, Japan
  • Find this author on Google Scholar
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  • Search for this author on this site
Nobuhito Mori
4Disaster Prevention Research Institute, Kyoto University, Kyoto 611-0011, Japan
  • Find this author on Google Scholar
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  • Search for this author on this site

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Tsunami simulations of mega-thrust earthquakes in the Nankai–Tonankai Trough (Japan) based on stochastic rupture scenarios

Katsuichiro Goda, Tomohiro Yasuda, P. Martin Mai, Takuma Maruyama and Nobuhito Mori
Geological Society, London, Special Publications, 456, 55-74, 22 February 2017, https://doi.org/10.1144/SP456.1
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  • Article
    • Abstract
    • Nankai–Tonankai mega-thrust subduction earthquake
    • Stochastic Nankai–Tonankai ssunami source model
    • Monte Carlo tsunami simulation for Nankai–Tonankai earthquake
    • Conclusions
    • Acknowledgments
    • References
  • Figures & Data
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