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JDR Vol.13 No.7 pp. 1272-1287
(2018)
doi: 10.20965/jdr.2018.p1272

Review:

Global Tsunami Risk Assessment: Collaboration Between Industry and Academia in the Willis Research Network (WRN)

Kwanchai Pakoksung*,†, Anawat Suppasri*, Panon Latcharote**, Abdul Muhari***, and Fumihiko Imamura*

*International Research Institute of Disaster Science (IRIDeS), Tohoku University
468-1 Aoba, Aramaki-Aza, Aoba-ku, Sendai, Miyagi 980-0845, Japan

Corresponding author

**Thamasat University, Pathumthani, Thailand

***Coastal Disaster Mitigation Division, Ministry of Marine Affairs and Fisheries, Jakarta, Indonesia

Received:
April 23, 2018
Accepted:
July 3, 2018
Published:
December 1, 2018
Keywords:
tsunamis, risk assessment, Willis Research Network
Abstract

We present outcomes of our collaborative research between tsunami engineering laboratory, Tohoku University and the Willis Research Network (WRN) on global tsunami risk assessment since 2010. First we assessed tsunami hazards in Indian Ocean and west Pacific from major earthquakes based on historical records. After the 2011 Japan tsunami, various kind of fragility functions were developed for human casualty, buildings, marine vessels, etc based on the actual data. Especially, detailed tsunami hazard assessments were performed in many areas using fine bathymetry and topography data all over Japan including hazards from the worst case tsunamigenic earthquakes provided by central government and local governments in Hokkaido, Japan Sea and Nankai Trough. These results from the detailed hazard and vulnerability assessment were used for detailed tsunami risk in Japan. The Willis’s Japan tsunami model was then first released in December 2014. The model have been updating based on the updated or revised tsunami sources model and fragility functions. Detailed tsunami hazards from potential tsunami events in the Bay of Bengal, South China Sea and some parts of Indonesia were also performed in 2014. In October 2016, our contribution on the historical and future tsunami hazard assessment in global scale based on historical records over the last 400 years was conducted as an activity to increase tsunami awareness as part of World Tsunami Awareness Day. The current activities are to extend the target areas in Japan to Okinawa and assessing disaster risk reduction based on the present and planned tsunami countermeasures. We present the outcomes of the collaborative research done since 2010 by the Tsunami Engineering Laboratory of Tohoku University and the Willis Research Network (WRN) on global tsunami risk assessment. First, we assessed, based on historical records, the tsunami hazards in the Indian Ocean and western Pacific from major earthquakes. Since the 2011 Japan tsunami, various kinds of fragility functions have been developed for human casualties, buildings, marine vessels, etc., based on the actual data. Detailed tsunami hazard assessments have been performed in many areas of Japan using fine bathymetry and topography data from all over Japan, including data on hazards from the worst-case tsunamigenic earthquakes. These data have been provided by the Cabinet Office, Japan. The results from the detailed hazard and vulnerability assessments were used for detailed tsunami risk assessments in Japan. The Willis Japan tsunami model was then released in December 2014. The model has been updated based on the updated or revised tsunami source model and fragility functions. Detailed tsunami hazards from potential tsunami events in the Bay of Bengal, South China Sea, and some parts of Indonesia were also performed in 2014. In October 2016, our contribution to the historical and future tsunami hazard assessment on a global scale based on historical records over the last 400 years was conducted as an activity to increase tsunami awareness as part of World Tsunami Awareness Day. The current activities are to extend the target areas in Japan to Okinawa and to assess the disaster risk reduction based on the present and planned tsunami countermeasures.

Cite this article as:
K. Pakoksung, A. Suppasri, P. Latcharote, A. Muhari, and F. Imamura, “Global Tsunami Risk Assessment: Collaboration Between Industry and Academia in the Willis Research Network (WRN),” J. Disaster Res., Vol.13 No.7, pp. 1272-1287, 2018.
Data files:
References
  1. [1] World Tsunami Museum Conf., “Conference Report,” UNISDR, http://www.preventionweb.net/files/55978_finalsmallerversionworldtsunamimuse.pdf [accessed November 17, 2017]
  2. [2] UNDP, http://www.undp.org/content/undp/en/home/newscentre/speeches/2017/world-tsunami-awareness-day-.html [accessed November 1, 2017]
  3. [3] I. Chavet, J. Macabuag, and T. Rossetto, “Estimating Tsunami-Induced Building Damage through Fragility Functions: Critical Review and Research Needs,” Front. Built Envion. Vol.3, No.36, pp. 1-22, doi:10.3389/fbuil.2017.00036, 2017.
  4. [4] P. L. F. Liu, Y. S. Cho, S. B. Yoon, and S. N. Seo, “Numerical Simulation of the 1960 Chilean Tsunami Propagation and Inundation at Hilo, Hawaii,” Tsunami: Progress in Prediction, Disaster Prevention and Warning, pp. 99-115, 1995.
  5. [5] P. L. F. Liu, S. B. Woo, and Y. S. Cho, “Computer Programe for Tsunami Propagation and Inundation,” Technical Report, Cornell University, 1998.
  6. [6] V. V. Titov and F. I. Gonzalez, “Implementation and Testing of the Method of Splitting Tsunami (MOST) Model,” NOAA Technical Memorandum ERL PMEL-112, Pacific Marine Environmental Laboratory, 1997.
  7. [7] F. Imamura, “Review of tsunami with a finite difference method,” Long-Wave Runup Models, pp. 25-42, 1995.
  8. [8] R. K. Jaiswal, A. P. Singh, and B. K. Rastogi, “Simulation of the Arabian Sea tsunami propagation generated due to 1945 Makran earthquake and its effect on the western parts of Gujarat (India),” Natural Hazards, Vol.48, No.2, pp. 245-248, 2008.
  9. [9] T. Usha, M. V. Ramana Murthy, N. T. Reddy, and T. S. Murty, “Vulnerability Assessment of Car Nicobar to Tsunami Hazard using Numerical Model,” Science of Tsunami Hazards, Vol.28, No.1, pp. 15-34, 2009.
  10. [10] S. S. Chenthamil and R. S. Kankara, “Tsunami model simulation for 26 December 2004 and its effect on Koodankulam region of Tamil Nadu Coast,” J. of Ocean and Climate: Science, Technology and Impacts, Vol.7, No.2, pp. 62-69, doi:10.1177/1759313115623165, 2016.
  11. [11] A. Suppasri, S. Koshimura, and F. Imamura, “Developing tsunami fragility curves based on the satellite remote sensing and the numerical modeling of the 2004 Indian Ocean tsunami in Thailand,” Nat. Hazards Earth Syst. Sci., Vol.11, pp. 173-189, doi:10.5194/nhess-11-173-2011, 2011.
  12. [12] D. Sugawara and K. Goto, “Numerical modeling of the 2011 Tohoku-oki tsunami in the offshore and onshore of Sendai Plain, Japan,” Sedimentary Geology, Vol.282, pp. 110-123, doi:10.1016/j.sedgeo.2012.08.002, 2012.
  13. [13] Y. Oishi, F. Imamura, and D. Sugawara, “Near-field tsunami inundation forecast using the parallel TUNAMI-N2 model: Application to the 2011 Tohoku-Oki earthquake combined with source inversions,” Geophys. Res. Lett., Vol.42, No.4, pp. 1083-1091, doi:10.1002/2014GL062577, 2015.
  14. [14] A. Ruangrassamee, H. Yanagisawa, P. Foytong, P. Lukkunaprasit, S. Koshimura, and F. Imamura, “Investigation of tsunami-induced damage and fragility of buildings in Thailand after the December 2004 Indian Ocean tsunami,” Earthq. Spectra, Vol.22, No.S3, pp. 377-401, doi:10.1193/1.2208088, 2006.
  15. [15] N. Valencia, A. Gardi, A. Gauraz, F. Leone, and R. Guillande, “New tsunami damage functions developed in the framework of SCHEMA project: application to European-Mediterranean coasts,” Nat. Hazards Earth Syst. Sci., Vol.11, pp. 2835-2846, doi:10.5194/nhess-11-2835-2011, 2011.
  16. [16] T. Rossetto, I. Ioannou, D. N. Grant, and T. Maqsood, “Guidelines for Empirical Vulnerability Assessment,” GEM Technical Report 2014-11, 2014.
  17. [17] W. P. S. Dias, H. D. Yapa, and L. M. N. Peiris, “Tsunami vulnerability functions from field surveys and Monte Carlo simulation,” Civ. Eng. Environ. Syst., Vol.26, No.2, pp. 181-194, doi:10.1080/10286600802435918, 2009.
  18. [18] S. Park, J. W. van de Lindt, D. Cox, and R. Gupta, “Concept of community fragilities for tsunami coastal inundation studies,” Nat. Hazards Rev., Vol.14, No.4, pp. 220-228, doi:10.1061/(ASCE)NH.1527-6996.0000092, 2013.
  19. [19] J. Macabuag, T. Rossetto, I. Ioannou, A. Suppasri, D. Sugawara, B. Adriano, F. Imamura, I. Eames, and S. Koshimura, “A proposed methodology for deriving tsunami fragility functions for buildings using optimum intensity measures,” Nat. Hazards, Vol.84, No.2, pp. 1257-1285, doi:10.1007/s11069-016-2485-8, 2016.
  20. [20] K. Pakoksung, A. Suppasri, P. Latcharote, A. Muhari, F. Imamura, K. Lin, P. Kayestha, K. Yamamoto, and S. Tabuchi, “Global tsunami risk assessment: Industry-academic collaboration under Willis Research Network (WRN),” World Bosai Forum 2017, Sendai, 2017.
  21. [21] R. Sobradelo, “Seismic gaps as the sources for future tsunamis,” Willis Towers Watson, 2017. https://www.willistowerswatson.com/en/insights/2017/07/seismic-gaps-as-the-sources-for-future-tsunamis [accessed July 25, 2017].
  22. [22] IRIDeS, “A Global Assessment of Historical and Future Tsunami Hazards Based on Seismic Records Over the Last 400 Years and Estimated Seismic Gaps,” 2017. http://irides.tohoku.ac.jp/media/files/archive/global_assessment_tsunamihazards_future_20171027.pdf [accessed October 27, 2017].
  23. [23] UNESCO Intergovernmental Oceano-graphic Commission Manuals and Guides, “IUGG/IOC TIME Project: Numerical method of tsunami simulation with the leap-frog scheme,” pp. 35-126, 1997.
  24. [24] L. Mansinha and D. E. Smylie, “The displacement fields of inclined faults,” Bulletin of the Seismological Society of America, Vol.61, No.5, pp. 1433-1440, 1971.
  25. [25] General Bathymetric Chart of the Oceans (GEBCO), “GEBCO_08 Grid – version 20100927,” 2010. https://www.gebco.net/data_and_products/gridded_bathymetry_data/version_20100927/ [accessed September 27, 2010]
  26. [26] G. A. Papadopoulos and F. Imamura, “A proposal for a new tsunami intensity scale,” Proc. of the Int. tsunami symp., Session 5, No.5-1, pp. 569-577, 2001.
  27. [27] A. Suppasri, F. Imamura, and S. Koshimura, “Tsunami hazard and casualty estimation in a coastal area that neighbors the Indian Ocean and South China Sea,” J. of Earthquake and Tsunami, Vol.6, No.2, 1250010, doi:10.1142/S1793431112500108, 2012.
  28. [28] S. Hayashi and S. Koshimura, “The 2011 Tohoku tsunami flow velocity estimation by the aerial video analysis and numerical modeling,” J. Disaster Res., Vol.8, No.4, pp. 561-572, 2013.
  29. [29] Ministry of Land, Infrastructure, Transport and Tourism, http://www.mlit.go.jp/toshi/toshi-hukkou-arkaibu.html (in Japanese) [accessed July 4, 2012]
  30. [30] D. Dominey-Howes, P. Dunbar, J. Varner, and M. Papathoma-Köhle, “Estimating probable maximum loss from a Cascadia tsunami,” Nat. Hazards, Vol.53, No.1, pp. 43-61, 2010.
  31. [31] S. Reese, B. A. Bradley, J. Bind, G. Smart, W. Power, and J. Sturman, “Empirical building fragilities from observed damage in the 2009 South Pacific tsunami,” Earth-Science Reviews, Vol.107, No.1-2, pp. 156-173, 2011.
  32. [32] T. Arikawa, “Structural behavior under impulsive tsunami loading,” J. Disaster Res., Vol.4, No.6, pp. 377-381, 2009.
  33. [33] S. Koshimura, Y. Namegaya, and H. Yanagisawa, “Tsunami Fragility – a new measure to identify tsunami damage–,” J. Disaster Res., Vol.4, No.6, pp. 479-488, 2009.
  34. [34] P. Lukkunaprasit, A. Ruangrassame, B. Stitmannaithum, C. Chintanapakdee, and N. Thanasisathit, “Calibration of tsunami loading on a damaged building,” J. Earthq. and Tsunami, Vol.4, No.2, pp. 105-114, 2010.
  35. [35] F. Leone, F. Lavigne, R. Paris, J.-C. Denain, and F. Vinet, “A spatial analysis of the December 26th, 2004 tsunami-induced damages: lessons learned for a better risk assessment integrating buildings vulnerability,” Applied Geography, Vol.31, No.1, pp. 363-375, 2011.
  36. [36] A. Suppasri, T. Futami, S. Tabuchi, and F. Imamura, “Mapping of historical tsunamis in the indian and Southwest Pacific Oceans,” Int. J. Disaster Risk Reduction, Vol.1, pp. 62-71, doi:10.1016/j.ijdrr.2012.05.003, 2012.
  37. [37] Cabinet Office, Government of Japan, http://www.bousai.go.jp/kaigirep/chuobou/senmon/tounankainankaijishin/2/4-2.htm (in Japanese) [accessed September XX, 2012].
  38. [38] A. Suppasri, E. Mas, I. Charvet, R. Gunasekera, K. Imai, Y. Fukutani, Y. Abe, and F. Imamura, “Building damage characteristics based on surveyed data and fragility curves of the 2011 Great East Japan tsuanmi,” Nat. Hazards, Vol.66, No.2, pp. 319-341, doi:10.1007/s11069-012-0487-8, 2013.
  39. [39] Y. Okada, “Surface deformation due to shear and tensile faults in a half-space,” Bulletin of the seismological society of America, Vol.75, No.4, pp. 1135-1154, 1985.
  40. [40] Okinawa Prefecture, http://www.pref.okinawa.jp/site/doboku/kaibo/h27tunami/h27tunami_a.html [accessed July 24, 2015]
  41. [41] P. Suttinon and S. Nasu, “Regional virtual water of the Shikoku Island: inter-regional input-output table,” Internet J. of Society for Social Management Systems, Vol.8, No.1, SMS12-9627, 2012.
  42. [42] K. Pakoksung, A. Suppasri, and F. Imamura, “Approach of Estimating Tsunami Economic Losses in The Okinawa Island with Scenario-based of Input-Output Table and Okinawa Earthquake Sources,” Internet J. of Society for Social Management Systems, Vol.11, No.1, SMS17-4567, 2017.
  43. [43] A. Suppasri, P. Latcharote, J. D. Bricker, N. Leelawat, A. Hayashi, K. Yamashita, F. Makinoshima, V. Roeber, and F. Imamura, “Improvement of tsunami countermeasures based on lessons from the 2011 great east Japan earthquake and tsunami – Situation after five years,” Coastal Engineering J., Vol.58, No.4, pp. 1640011-1-1640011-30, 2016.
  44. [44] A. Strusińska-Correia, “Tsunami mitigation in Japan after the 2011 Tōhoku Tsunami,” Int. J. of Disaster Risk Reduction, Vol.22, pp. 397-411, 2017.
  45. [45] Sendai City Earthquake Disaster Reconstruction Plan, https://www.city.sendai.jp/shinsaifukko/shise/daishinsai/fukko/kanren/kekaku/documents/english14511_cover-p2.pdf [accessed on December, 2011].
  46. [46] S. Koshimura, S. Hayashi, and H. Gokon, “The impact of the 2011 Tohoku earthquake tsunami disaster and implications to the reconstruction,” Soils and Foundations, Vol.54, No.4, pp. 560-572, 2014.
  47. [47] F. Imamura, S. Koshimura, Y. Mabuchi, T. Ohya, and K. Okada, “The Tsunami Source Model of the 2011 Tohoku Earthquake (ver. 1.2),” http://www.tsunami.civil.tohoku.ac.jp/hokusai3/J/events/tohoku_2011/model/dcrc_ver1.2.pdf (in Japanese) [accessed on 25 April 2012].
  48. [48] K. Pakoksung, A. Suppasri, and F. Imamura, “Systematic Evaluation of Different Infrastructure Systems for Tsunami Defense in Sendai City,” Geosciences, Vol.8, No.5, pp. 173-198, doi:10.3390/geosciences8050173, 2018.

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