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Street-scale storm surge load impact assessment using fine-resolution numerical modelling: a case study from Nemuro, Japan

  • Ryota NakamuraEmail author
  • Martin Mäll
  • Tomoya Shibayama
Original Paper
  • 17 Downloads

Abstract

Due to gradual sea level rise and changes in the climate system, coastal vulnerability to storm surge hazards is expected to increase in some areas. Studies regarding the effect of storm surge inundation on buildings and human lives, especially when it comes to relatively low-threat level events, have been few, however. In this research, storm surge load impact around coastal residential areas was quantitatively assessed, through fine-resolution numerical modelling. Meso- and street-scale simulation results for a storm surge event in Nemuro, Japan, were comprehensively validated against observations and field measurements, and the simulation results showed good accuracy for sea level, significant wave height and inundation area. A fine-resolution, street-scale coastal flood simulation was carried out with individual and grouped buildings, created with a building block model, and the results showed the significant role of buildings by realistically capturing inundation dynamics. Hydrodynamic results showed that coastal flood impact on buildings was insignificant (consistent with surveys). Lastly, the potential flood impact on people in the streets was investigated, using five human instability equations, where the most pessimistic results showed average values between 0.0 and 0.2 (max 0.6–0.7), and slightly below 0.4 for children and the elderly, respectively. These values indicated that threat levels during the Nemuro storm event were low, which corresponded with observations (no fatalities). This study framework could be applied wherever an accurate local storm surge threat estimate was required.

Keywords

Storm surge Coastal flood Extra-tropical cyclone FVCOM Building block model Human instability 

Notes

Acknowledgements

This study was financially supported by: the Strategic Young Researcher fund from Toyohashi University of Technology; a Grant-in-Aid for a Research Activity Start-up (No. 17H06760) and for Early-Career Scientists (No. 19K15098), from the Japan Society for the Promotion of Science, Research Institute of Sustainable Future Society, Waseda University; and a Strategic Research Foundation Grant-aided Project for Private Universities, from the Ministry of Education, Culture, Sports, Science and Technology (Waseda University: No. S1311028). The authors express an appreciation to officers in the Nemuro City Government and the Hokkaido Development Bureau, for providing data on sea levels and coastal levee heights. Finally, we would like to thank Editage (www.editage.com) for English language editing.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

References

  1. Abt SR, Wittler RJ, Taylor A, Love DJ (1989) Human stability in a high flood hazard zone. J Am Water Resour As 25(4):881–890Google Scholar
  2. Akoh R, Ishikawa T, Kojima T, Tomaru M, Maeno S (2017) High-resolution modeling of tsunami run-up flooding: a case study of flooding in Kamaishi city, Japan, induced by the 2011 Tohoku tsunami. Nat Hazards Earth Syst Sci 17:1871–1883Google Scholar
  3. Albertson JD, Parlange MB (1999) Surface length scales and shear stress: implications for land-atmosphere interaction over complex terrain. Water Resour Res 35(7):2121–2132Google Scholar
  4. Arcement GJ, Schneider VR (1989) Guide for selecting Manning’s roughness coefficients for natural channels and flood plains. U.S. geological survey water-supply paper 2339Google Scholar
  5. Beardsley RC, Chen C, Xu Q (2013) Coastal flooding in Scituate (MA): a FVCOM study of the 27 December 2010 nor’easter. J Geophys Res Oceans 118:6030–6045Google Scholar
  6. Becker JJ, Sandwell DT, Smith WHF, Braud J, Binder B, Depner J, Fabre D, Factor J, Ingalls S, Kim S-H, Ladner R, Marks K, Nelson S, Pharaoh A, Trimmer R, Von Rosenberg J, Wallace G, Weatherall P (2009) Global bathymetry and elevation data at 30 arc seconds resolution: sRTM30_PLUS. Mar Geod 32(4):355–371Google Scholar
  7. Blumberg AF, Georgas N, Yin L, Herrington TO, Orton PM (2015) Street-scale modeling of storm surge inundation along the New Jersey Hudson River waterfront. J Atmos Oceanic Tech 32:1486–1497Google Scholar
  8. Bricker JD, Gibson S, Takagi H, Imamura F (2015a) On the need for larger Manning’s roughness coefficients in depth-integrated tsunami inundation models. Coast Eng J 57:1550005Google Scholar
  9. Bricker JD, Volker R, Fukutani Y, Kure S (2015b) Simulation of the December 2014 Nemuro storm surge and incident waves. J Jap Soc Civ Eng Ser B2 (Coast Eng) 71(2):I_1543–I_1548.  https://doi.org/10.2208/kaigan.71.I_1543 Google Scholar
  10. Brown JD, Spencer T, Moeller I (2007) Modeling storm surge flooding of an urban area with particular reference to modeling uncertainties: a case study of Canvey Island United Kingdom. Water Resour Res 43:W06402Google Scholar
  11. Bunya S, Dietrich JC et al (2010) A high resolution coupled riverine flow, tide, wind, wind wave and storm surge model for southern Louisiana and Mississippi: part I—model development and validation. Mon Weather Rev 138:345–377Google Scholar
  12. Chen C, Beardsley RC et al (2012) An unstructured-grid, finite-volume community ocean model FVCOM user manual, 3rd edn. pp 408, MITSG 12–25. http://fvcom.smast.umassd.edu/wp-content/uploads/2013/11/MITSG_12-25.pdf Accessed 27 July 2018)
  13. Chen C, Liu H, Beardsley RC (2003) An unstructured, finite-volume, three-dimensional, primitive equation ocean model: application to coastal ocean and estuaries. J Atmos Ocean Tech 20:159–186Google Scholar
  14. Chen C, Huang H, Beardsley RC, Liu H, Xu Q, Cowles GA (2007) Finite-volume numerical approach for coastal ocean circulation studies: comparisons with finite difference models. J Geophys Res 112:C03018Google Scholar
  15. Chen C, Beardsley RC, Luettich RA Jr, Westerink JJ, Wang H, Perrie W, Xu Q, Donahue AS, Qi J, Lin H, Zhao L, Kerr PC, Meng Y, Toulany B (2013) Extratropical storm inundation testbed: intermodel comparisons in Scituate, Massachusetts. J Geophys Res Oceans 118:1–20Google Scholar
  16. Cheng RT, Ling C-H, Gartner JW, Wang PF (1999) Estimates of bottom roughness length and bottom shear stress in south San Francisco Bay, California. J Geophys Res Oceans 104:7715–7728Google Scholar
  17. Chock G, Carden L, Robertson I, Olsen M, Yu G (2013) Tohoku tsunami-induced building failure analysis with implications for U.S. Tsunami and seismic design codes. Earthq Spectra 29(S1):S99–S126Google Scholar
  18. Dietrich JC, Zijlema M, Westerink JJ, Holthuijsen LH, Dawson C, Luettich RA Jr, Jensen RE, Smith JM, Stelling GS, Stone GW (2011) Modeling hurricane waves and storm surge using integrally-coupled, scalable computations. Coast Eng 58(1):45–65Google Scholar
  19. Emanuel K (2013) Downscaling CMIP5 climate models shows increased tropical cyclone activity over the 21st century. Proc Nat Acad Sci 110:12219–12224Google Scholar
  20. Feddersen F, Gallagher EL, Guza RT, Elgar S (2003) The drag coefficient, bottom roughness, and wave-breaking in the nearshore. Coast Eng 48:189–195Google Scholar
  21. Fewtrell TJ, Duncan A, Sampson CC, Neal JC, Bates PD (2011) Benchmarking urban flood models of varying complexity and scale using high resolution terrestrial LiDAR data. Phys Chem Earth 36:281–291Google Scholar
  22. Gorelick N, Hancher M, Dixon M, Ilyushchenko S, Thau D, Moore R (2017) Google Earth engine: planetary-scale geospatial analysis for everyone. Remote Sens Environ 202:18–27Google Scholar
  23. Honda C, Mitsuyasu K (1980) Laboratory study on wind effect to ocean surface. J Coast Eng JSCE 27:90–93.  https://doi.org/10.2208/proce1970.27.90 (in Japanese) Google Scholar
  24. Huang H, Chen C, Cowles GW, Winant CD, Beardsley RC, Hedstrom KS, Haidvogel DB (2008) FVCOM validation experiments: comparisons with ROMS for three idealized barotropic test problems. J Geophys Res 113:C07042Google Scholar
  25. IPCC (2013) Summary for policymakers. In: Stocker TF, Qin D, Plattner G-K, Tignor M, Allen SK, Boschung J, Nauels A, Xia Y, Bex V, Midgley PM (eds) Climate change 2013: the physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press, CambridgeGoogle Scholar
  26. Jonkman SN, Penning-Rowsell E (2008) Human instability in flood flows. J Am Water Resour As 44:5Google Scholar
  27. Karima MF, Mimura N (2008) Impacts of climate change and sea-level rise on cyclonic storm surge floods in Bangladesh. Global Environ Change 18(3):490–500Google Scholar
  28. Karvonen RA, Hepojoki HK, Huhta HK, Louhio A (2000) The use of physical models in dam-break flood analysis, development of Rescue Actions Based on Dam-Break Flood Analysis (RESCDAM). Final report of Helsinki University of Technology, Finnish Environment Institute. http://ec.europa.eu/echo/files/civil_protection/civil/act_prog_rep/rescdam_rapportfin.pdf. Accessed 5 Aug 2019
  29. Kumagai K, Seki K, Fujiki T, Tomita T, Tsuruta N, Sakai K, Yamamoto Y, Kakizaki E (2015) Damage of Nemuro port and its surrounding areas due to the storm-surge in 17 December 2014. Technical Note of National Institute for Land and Infrastructure Management 854. (in Japanese with English Abstract) http://www.nilim.go.jp/lab/bcg/siryou/tnn/tnn0854pdf/ks0854.pdf. Accessed 5 Aug 2019
  30. Kumagai K, Kim S-Y, Tsujio D, Mase H, Tsuji T (2017) Coupled Modelling of wave and storm surge for explosive cyclone 2014 in the east coast of Hokkaido. J Jpn Soc Civ Eng Ser B (Coast Eng) 73(2):I_193–I_198.  https://doi.org/10.2208/kaigan.73.i_193 (in Japanese with English Abstract) Google Scholar
  31. Kuwano-Yoshida A, Minobe S (2016) Storm-track response to SST fronts in the northwestern Pacific region in an AGCM. J Clim 30(3):1081–1102Google Scholar
  32. Kvočka D, Falconer RA, Bray M (2016) Flood hazard assessment for extreme flood events. Nat Hazards 84:1569–1599Google Scholar
  33. Lind N, Hartford D (2000) Probability of human instability in a flooding: a hydrodynamic model. In: Melchers E, Stewart MG (eds). Proceedings of ICASP 8, applications of statistics and probability, Balkema, Rotterdam 1151–1156Google Scholar
  34. Lind N, Hartford D, Assaf H (2004) Hydrodynamic models of human instability in a flood. J Am Water Resour As 40(1):89–96Google Scholar
  35. Longuet-Higgins MS, Stewart R (1962) Radiation stress and mass transport in gravity waves, with application to surf-beats. J F Mech 13:481–504Google Scholar
  36. Mäll M, Suursaar Ü, Nakamura R, Shibayama T (2017) Modelling a storm surge under future climate scenarios: case study of extratropical cyclone Gudrun (2005). Nat Hazards 89(3):1119–1144Google Scholar
  37. Matsumoto K, Takanezawa T, Ooe M (2000) Ocean tide models developed by assimilating TOPEX/POSEIDON altimeter data into hydrodynamical model: a global model and a regional model around Japan. J Oceanogr 56:567–581Google Scholar
  38. Nakamura R, Iwamoto T, Shibayama T, Mikami T, Matsuba S, Mäll M, Tatekoji A, Tanokura Y (2015) Field survey and mechanism of storm surge generation invoked by the low pressure with rapid development in Nemuro Hokkaido in December 2014. J Jap Soc Civ Eng Ser B3 (Ocean Eng) 71(2):I_31–I_36.  https://doi.org/10.2208/jscejoe.71.i_31 (in Japanese with English Abstract) Google Scholar
  39. Nakamura R, Shibayama T, Esteban M, Iwamoto T (2016) Future typhoon and storm surges under different global warming scenarios: case study of Typhoon Haiyan (2013). Nat Hazards 82(3):1645–1681Google Scholar
  40. Neumann B, Vafeidis AT, Zimmermann J, Nicholls RJ (2015) Future coastal population growth and exposure to sea-level rise and coastal flooding—a global assessment. PLoS ONE 10(3):e0118571Google Scholar
  41. Olbert AL, Comer J, Nash S, Hartnett M (2017) High-resolution multi-scale modelling of coastal flooding due to tides, storm surges and rivers inflows: A Cork city example. Coast Eng 121:278–296Google Scholar
  42. OpenStreetMap (2017) OpenStreetMap Japan. https://openstreetmap.jp/ Accessed 04 Jan 2018
  43. Powell MD, Vickery PJ, Reinhold TA (2006) Reduced drag coefficient for high wind speeds in tropical cyclones. Nature 422:279–283Google Scholar
  44. Qi J, Chen C, Beardsley RC, Perrie W, Cowles G (2009) An unstructured-grid finite-volume surface wave model (FVCOM-SWAVE): implementation, validations and applications. Ocean Model 28:153–166Google Scholar
  45. Ramsbottom D, Wade S, Bain V, Hassan M, Penning-Rowsell E, Wilson T, Fernandez A, House M, Floyd P (2004) R&D outputs: flood risks to people. Phase 2. FD2321⁄IR2. Department for the Environment, Food and Rural Affairs/Environment Agency, London, United KingdomGoogle Scholar
  46. Saruwatari A, Coutinho DA, Kato M, Nikawa O, Watanabe Y (2015) Report on the 2014 winter cyclone storm surge in Nemuro Japan. Coast Eng J 57(03):1550014Google Scholar
  47. Schubert JE, Sanders BF (2012) Building treatments for urban flood inundation models and implications for predictive skill and modelling efficiency. Adv Water Resour 41:49–64Google Scholar
  48. Statistics Bureau of Japan (2017) Statistics Handbook of Japan 2017. Ministry of internal affairs and communication, Japan. http://www.stat.go.jp/english/data/handbook/pdf/2017all.pdf. Accessed 5 Aug 2019
  49. Sun Y, Chen C, Beardsley RC, Xu Q, Qi J, Lin H (2013) Impact of current-wave interaction on storm surge simulation: a case study for Hurricane Bob. J Geophys Res Ocean 118:2685–2701Google Scholar
  50. Takabatake T, Mäll M, Esteban M, Nakamura R, Kyaw TO, Ishii H, Valdez JJ, Nishida Y, Noya F, Shibayama T (2018) Field survey of 2018 Typhoon Jebi in Japan: lessons for disaster risk management. Geosciences 8:412Google Scholar
  51. Takagi H, Li S, de Leon M, Esteban M, Mikami T, Matsumaru R, Shibayama T, Nakamura R (2016) Storm surge and evacuation in urban areas during the peak of a storm. Coast Eng 108:1–9Google Scholar
  52. Takahashi S, Endoh K, Muro ZI (1992) Experimental study on people’s safety against overtopping waves on breakwaters. 20 rep 31-04 The Port and Harbour Res Inst, Yokosuka, JapanGoogle Scholar
  53. Tasnim KM, Shibayama T, Esteban M, Takagi H, Ohira K, Nakamura R (2014) Field observation and numerical simulation of past and future storm surges in the Bay of Bengal: case study of cyclone Nargis. Nat Hazards 75(2):1619–1647Google Scholar
  54. Weisberg RH, Zheng L (2008) Hurricane storm surge simulations comparing three-dimensional with two-dimensional formulations based on an Ivan-like storm over the Tampa Bay Florida region. J Geophys Res Oceans 113:C12001Google Scholar
  55. Xia J, Falconer RA, Lin B, Tan G (2011) Numerical assessment of flood hazard risk to people and vehicles in flash floods. Environ Model Softw 26:987–998Google Scholar
  56. Yang Z, Wang T, Leung R, Hibbard K, Janetos T, Kraucunas I, Rice J, Preston B, Wilbanks TA (2014) Modeling study of coastal inundation induced by storm surge, sea-level rise, and subsidence in the Gulf of Mexico. Nat Hazards 71(3):1771–1794Google Scholar
  57. Yasuda T, Nakajo S, Kim S-Y, Mase H, Mori N, Horsburgh K (2014) Evaluation of future storm surge risk in East Asia based on state-of-the-art climate change projection. Coast Eng 83:65–71Google Scholar
  58. Yin J, Lin N, Yu D (2016) Coupled modeling of storm surge and coastal inundation: a case study in New York City during Hurricane Sandy. Water Resour Res 52:8685–8699Google Scholar
  59. Yoon JJ, Shim JS, Park KS, Lee JC (2014) Numerical experiments of storm winds, surges, and waves on the southern coast of Korea during Typhoon Sanba: the role of revising wind force. Nat Hazards Earth Syst Sci 14:3279–3295Google Scholar
  60. Yu D, Lane SN (2006) Urban fluvial flood modelling using a two-dimensional diffusion-wave treatment, part 2: development of a sub-grid-scale treatment. Hydrol Process 20:1567–1583Google Scholar
  61. Zhang A, Wei E (2007) Delaware River and bay hydrodynamic simulations with FVCOM. In: 10th international conference on estuarine and coastal modeling 324:2Google Scholar
  62. Zheng L, Weisberg RH, Huang Y, Luettich RA, Westerink JJ, Kerr PC, Donahue AS, Crane G, Akli L (2013) Implications from the comparisons between two- and three-dimensional model simulations of the Hurricane Ike storm surge. J Geophys Res Oceans 118:3350–3369Google Scholar

Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  • Ryota Nakamura
    • 1
    Email author
  • Martin Mäll
    • 2
  • Tomoya Shibayama
    • 3
  1. 1.Civil Engineering Program, Faculty of EngineeringNiigata UniversityNiigata-shiJapan
  2. 2.Department of Civil and Environmental Engineering, Graduate School of Creative Science and EngineeringWaseda UniversityShinjuku-kuJapan
  3. 3.Faculty of Science and EngineeringWaseda UniversityShinjuku-kuJapan

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