JDR Vol.16 No.7 pp. 978-993
doi: 10.20965/jdr.2021.p0978

Survey Report:

Numerical Simulation of Urban Inundation Processes and Their Hydraulic Quantities – Tsunami Analysis Hackathon Theme 1 –

Tomohiro Yasuda*1,†, Kentaro Imai*2, Yoshinori Shigihara*3, Taro Arikawa*4, Toshitaka Baba*5, Naotaka Chikasada*6, Yuuki Eguchi*3, Masato Kamiya*5, Masaaki Minami*7, Toshiharu Miyauchi*4, Kazuya Nojima*8, Kwanchai Pakoksung*9, Anawat Suppasri*9, and Yuho Tominaga*10

*1Faculty of Environmental and Urban Engineering, Kansai University
3-3-35 Yamate-cho, Suita, Osaka 564-8680, Japan

Corresponding author

*2Yokohama Institute for Earth Sciences, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Kanagawa, Japan

*3Department of Civil and Environmental Engineering, National Defense Academy (NDA), Kanagawa, Japan

*4Faculty of Science and Engineering, Chuo University, Tokyo, Japan

*5Graduate School of Technology, Industrial and Social Sciences, Tokushima University, Tokushima, Japan

*6Earthquake and Tsunami Research Division, National Research Institute for Earth Science and Disaster Resilience (NIED), Ibaraki, Japan

*7Meteorological Research Institute, Japan Meteorological Agency (JMA), Ibaraki, Japan

*8R&D Center, Nippon Koei Co., Ltd., Ibaraki, Japan

*9International Research Institute of Disaster Science (IRIDeS), Tohoku University, Miyagi, Japan

*10IDEA Consultants, Inc., Kanagawa, Japan

May 10, 2021
August 2, 2021
October 1, 2021
tsunami analysis hackathon, tsunami inundation simulation, numerical models, topography data, reproducibility

The detailed understanding of tsunami hazard risk using numerical simulations requires a numerical model that can accurately predict tsunami inundation phenomena on land. In such models, the structural effects are indirectly considered using the variation of bottom roughness as a proxy for the differences in building densities. Only a few studies have conducted intermodel tests to investigate tsunami inundation in complex coastal urban cities. During the tsunami analysis hackathon held in September 2020, eight research groups met to have a detailed discussion on the current urban inundation problems. In this study, we conducted an intermodel comparison of the numerical tsunami models, using the data from physical experiments that were performed on a detailed urban model. Our objective was to investigate the necessary conditions of an accurate numerical model based that can ensure high reproducibility and practicality. It was confirmed that the accuracy of topographic data is an important parameter for tsunami inundation simulations in complex urban areas. Based on the computational cost and accuracy, we suggest that a resolution of 1 cm of topographic data is a sufficient condition for tsunami inundation simulations on 1/250 scale model.

Cite this article as:
T. Yasuda, K. Imai, Y. Shigihara, T. Arikawa, T. Baba, N. Chikasada, Y. Eguchi, M. Kamiya, M. Minami, T. Miyauchi, K. Nojima, K. Pakoksung, A. Suppasri, and Y. Tominaga, “Numerical Simulation of Urban Inundation Processes and Their Hydraulic Quantities – Tsunami Analysis Hackathon Theme 1 –,” J. Disaster Res., Vol.16 No.7, pp. 978-993, 2021.
Data files:
  1. [1] T. Tomiczek, A. Prasetyo, N. Mori, T. Yasuda, and A. Kennedy, “Physical modelling of tsunami onshore propagation, peak pressures, and shielding effects in an urban building array,” Coastal Engineering, Vol.117, pp. 97-112, doi: 10.1016/j.coastaleng.2016.07.003, 2016.
  2. [2] D. Cox, T. Tomita, P. Lynett, and R. Holman, “Tsunami inundation with macro-roughness in the constructed environment,” Proc. of the 31st Int. Conf. on Coastal Engineering, pp. 1421-1432, doi: 10.1142/9789814277426_0118, 2009.
  3. [3] H. Park, D. T. Cox, P. J. Lynett, D. M. Wiebe, and S. Shin, “Tsunami inundation modeling in constructed environments: A physical and numerical comparison of free-surface elevation, velocity, and momentum flux,” Coastal Engineering, Vol.79, pp. 9-21, doi: 10.1016/j.coastaleng.2013.04.002, 2013.
  4. [4] A. Prasetyo, T. Yasuda, T. Miyashita, and N. Mori, “Physical Modeling and Numerical Analysis of Tsunami Inundation in a Coastal City,” Frontiers in Built Environment, Vol.5, Article No.46, 19pp., doi: 10.3389/fbuil.2019.00046, 2019.
  5. [5] P. J. Lynett, “Precise prediction of coastal and overland flow dynamics: A grand challenge or a fool’s errand,” J. Disaster Res., Vol.11, No.4, pp. 615-623, doi: 10.20965/jdr.2016.p0615, 2016.
  6. [6] T. Takahashi, S. Koshimura, Y. Okumura, T. Takagawa, and N. Chikasada, “Tsunami Analysis Hackathon,” [accessed April 8, 2021]
  7. [7] T. Hiraishi et al., “Characteristics of tsunami generator newly implemented with three generation modes,” J. of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering), Vol.71, No.2, pp. I_349-I_354. doi: 10.2208/kaigan.71.I_349, 2015 (in Japanese).
  8. [8] C. Goto and Y. Ogawa, “Part 1: Shallow water theory and its difference scheme,” IUGG/IOC Time Project, “Numerical method of tsunami simulation with the leap-frog scheme (IOC Manual and Guides No.35),” 43pp., UNESCO, 1997.
  9. [9] F. Imamura, A. C. Yalciner, and G. Ozyurt, “Tsunami Modelling Manual (TUNAMI model),” 2006, [accessed April 8, 2021]
  10. [10] T. Tamada, T. Tamura, T. Takahashi, and H. Sasaki, “Applicability of movable bed model for tsunami in tsunami disaster reduction in rivers,” J. of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering), Vol.65, No.1, pp. 301-305, doi: 10.2208/kaigan.65.301, 2009 (in Japanese).
  11. [11] Y. Kozono, M. Sakuraba, and K. Nojima, “Study on tsunami simulation method including building shape, collapse and drift,” J. of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering), Vol.70, No.2, pp. I_161-I_165, doi: 10.2208/kaigan.70.I_161, 2014 (in Japanese).
  12. [12] T. Baba, N. Takahashi, Y. Kaneda, Y. Inazawa, and M. Kikkojin, “Tsunami inundation modeling of the 2011 Tohoku earthquake using three-dimensional building data for Sendai, Miyagi prefecture, Japan,” Y. A. Kontar, V. Santiago-Fandiño, and T. Takahashi (Eds.), “Tsunami events and lessons learned: Environmental and societal significance,” pp. 89-98, Springer, doi: 10.1007/978-94-007-7269-4_3, 2014.
  13. [13] T. Tomita and T. Kakinuma, “Storm surge and tsunami simulator in oceans and coastal areas (STOC),” Report of the Port and Airport Research Institute (PARI), Vol.44, No.2, pp. 83-98, 2005 (in Japanese).
  14. [14] T. Tomita, K. Honda, and Y. Chida, “Numerical simulation on tsunami inundation and debris damage STOC model,” Report of the Port and Airport Research Institute (PARI), Vol.55, No.2, pp. 3-33, 2016 (in Japanese).
  15. [15] T. Arikawa and T. Tomita, “Development of high precision tsunami runup calculation method based on a hierarchical simulation,” J. Disaster Res., Vol.11, No.4, pp. 639-644, doi: 10.20965/jdr.2016.p0639, 2016.
  16. [16] N. Yamamoto et al., “Multi-index method using offshore ocean-bottom pressure data for real-time tsunami forecast,” Earth, Planets and Space, Vol.68, Article No.128, doi: 10.1186/s40623-016-0500-7, 2016.

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Last updated on Jun. 03, 2024