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Quantitative assessment of inundation risks from physical contributors associated with future storm surges: a case study of Typhoon Maemi (2003)

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Abstract

Future storm-induced inundation risks were assessed by performing storm surge modeling based on Typhoon Maemi (2003) under the generic climate change scenarios proposed by IPCC AR5. The three physical factors governing the projected aggravation of inundation damage in a coastal basin (i.e., sea-level rise (SLR), direct runoff (DR) and tropical cyclones (TCs)) were defined and considered in the modeling both individually and in combination. With the application of a coupled hydrodynamic–hydrologic model, the inundation extent during the storm event under both current and year 2100 climate conditions was evaluated, and the impact of each factor on the inundation risk was identified. The intercomparison among the results revealed that SLR was the most influential single flooding driver aggravating the future inundation risk, and TC intensification was two-thirds as influential as SLR. However, DR was predicted to make a nearly negligible contribution and to have a minimal impact despite its significant projected increase in the future. Apart from the contributions of these three factors to aggravating the inundation level, the ways in which they affected the inundation risk were quite distinct. Additionally, the result considering both SLR and TC intensification demonstrated that nonlinear interactions between these factors can occur and further amplify the inundation damage. Finally, it was revealed that, depending on the level of the climate change projection, future storms with intensified rainfall and TC properties are likely to cause the maximum projected inundation damage in the study area to increase by up to 28.7% in inundation extent and by 236.6% in inundation volume relative to the current conditions without altering the spatial pattern of the inundation depth distribution.

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References

  • Bamber JL, Oppenheimer M, Kopp RE, Aspinall WP, Cooke RM (2019) Ice sheet contributions to future sea-level rise from structured expert judgment. Proc Natl Acad Sci 116(23):11195–11200

    Google Scholar 

  • Bernier NB, Thompson KR (2007) Tide-surge interaction off the east coast of Canada and northeastern United States. J Geophys Res 112(C6).

  • Bengtsson L, Hodges KI, Roeckner E (2006) Storm tracks and climate change. J Clim 19(15):3518–3543

    Google Scholar 

  • Bilskie MV, Hagen SC, Irish JL (2019) Development of return period stillwater floodplains for the Northern Gulf of Mexico under the coastal dynamics of sea level rise. J Waterway Port Coastal Ocean Eng 145(2):04019001

    Google Scholar 

  • 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 Technol 32(8):1486–1497

    Google Scholar 

  • Chen WB, Liu WC (2014) Modeling flood inundation induced by river flow and storm surges over a river basin. Water 6(10):3182–3199

    Google Scholar 

  • Christian J, Fang Z, Torres J, Deitz R, Bedient P (2015) Modeling the hydraulic effectiveness of a proposed storm surge barrier system for the Houston ship channel during hurricane events. Nat Hazard Rev 16(1):04014015

    Google Scholar 

  • Collins WJ, Bellouin N, Doutriaux-Boucher M, Gedney N, Halloran P, Hinton T, Hughes J, Jones CD, Joshi M, Liddicoat S, Martin G (2011) Development and evaluation of an Earth-System model–HadGEM2. Geoscientific Model Dev 4(4):1051–1075

    Google Scholar 

  • Choi J, Lee J, Kim S (2019) Impact of sea surface temperature and surface air temperature on maximizing typhoon rainfall: focusing on typhoon maemi in Korea. Advn Meteorol

  • Cubasch U, Meehl GA, Boer GJ, Stouffer RJ, Dix M, Noda A, Senior CA, Raper S, Yap KS, Abe-Ouchi A, Brinkop S (2001). Projections of future climate change. In Climate Change 2001: the scientific basis. Contribution of WG1 to the third Assessment Report of the IPCC (TAR). Cambridge University Press, Cambridge, pp 525–582

  • Dasgupta S, Laplante B, Murray S, Wheeler D (2011) Exposure of developing countries to sea-level rise and storm surges. Clim Change 106(4):567–579

    Google Scholar 

  • Deltares (2019) D-Flow Flexible Mesh: D-Flow FM in Delta Shell User Manual, Released for Delft3D FM Suite 2020, Version: 1.5.0, Revision:64974, December 14, 2019

  • Emanuel KA (1987) The dependence of hurricane intensity on climate. Nature 326(6112):483

    Google Scholar 

  • Emanuel K (2005) Increasing destructiveness of tropical cyclones over the past 30 years. Nature 436(7051):686–688

    Google Scholar 

  • Erikson LH, O'Neill AC, Barnard PL (2018) Estimating fluvial discharges coincident with 21st century coastal storms modeled with CoSMoS. J Coast Res 85:791–795

    Google Scholar 

  • Feldman AD (2000) Hydrologic modeling system HEC-HMS: technical reference manual. US Army Corps of Engineers, Hydrologic Engineering Center

  • Feng X, Tsimplis MN (2014) Sea level extremes at the coasts of China. J Geophys Res Oceans 119(3):1593–1608

    Google Scholar 

  • Gualdi S, Scoccimarro E, Navarra A (2008) Changes in tropical cyclone activity due to global warming: results from a high-resolution coupled general circulation model. J clim 21(20):5204–5228

    Google Scholar 

  • Hinkel J, Lincke D, Vafeidis AT, Perrette M, Nicholls RJ, Tol RS, Levermann A (2014) Coastal flood damage and adaptation costs under 21st century sea-level rise. Proc Natl Acad Sci 111(9):3292–329

    Google Scholar 

  • Hsu MH, Chen SH, Chang TJ (2000) Inundation simulation for urban drainage basin with storm sewer system. J Hydrol 234(1–2):21–37

    Google Scholar 

  • Huang JC, Lee TY, Lee JY (2014) Observed magnified runoff response to rainfall intensification under global warming. Environ Res Lett 9(3):034008

    Google Scholar 

  • Ikeuchi H, Hirabayashi Y, Yamazaki D, Muis S, Ward PJ, Winsemius HC, Verlaan M, Kanae S (2017) Compound simulation of fluvial floods and storm surges in a global coupled river-coast flood model: Model development and its application to 2007 Cyclone Sidr in Bangladesh. J Adv Model Earth Syst 9(4):1847–1862

    Google Scholar 

  • IPCC (2013) Climate Change 2013: the physical science basis. In: Stocker TF, Qin D, Plattner G-K, Tignor M, Allen SK, Boschung J, Nauels A, Xia Y, Bex V, Midgley PM (eds) Contribution of working Group I to the fifth assessment report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, p 1535

    Google Scholar 

  • Jarvis A, Reuter HI, Nelson A, Guevara E (2008) Hole-filled SRTM for the globe Version 4. available from the CGIAR-CSI SRTM 90m Database (https://srtm.csi.cgiar.org), 15, 25–54.

  • Jongman, B, Kreibich H, Apel H, Barredo JI, Bates PD, Feyen LA, Gericke J, Neal JC, Aerts JH, Ward, PJ (2012) Comparative flood damage model assessment: towards a European approach. Nat Hazards Earth Syst Sci (NHESS) 12(12):3733–3752

  • Karamouz M, Razmi A, Nazif S, Zahmatkesh Z (2017) Integration of inland and coastal storms for flood hazard assessment using a distributed hydrologic model. Environ Earth Sci 76(11):395

    Google Scholar 

  • Karim MF, Mimura N (2008) Impacts of climate change and sea-level rise on cyclonic storm surge floods in Bangladesh. Global Environ Change 18(3):490–500

    Google Scholar 

  • Kim S, Oh J, Suh KD, Mase H (2017) Estimation of climate change impact on storm surges: application to Korean Peninsula. Coastal Eng J 59(2):1740004–1740011

    Google Scholar 

  • Kiri H, Shiratani E, Tanji H, Ishita K (2012) Tidal current simulation of the ariake sea using the sigma-coordinate finite element model. Asian Pacific Coasts 2011:1338–1345

    Google Scholar 

  • KMA (2012) Korea climate change report. Korea Meteorological Administration (in Korean)

  • Knutson TR, McBride JL, Chan J, Emanuel K, Holland G, Landsea C, Isaac H, Kossin JP, Srivastava AK, Sugi M.(2010) Tropical cyclones and climate change. Nat Geosci 3(3):157–163

    Google Scholar 

  • Krien Y, Testut L, Islam AKMS, Bertin X, Durand F, Mayet C, Tazkia AR, Becker M, Calmant S, Papa F, Ballu V, Shum CK, Khan ZH (2017) Towards improved storm surge models in the northern Bay of Bengal. Continental Shelf Res 135:58–73

    Google Scholar 

  • Lee C, Hwang S, Do K, Son S (2019) Increasing flood risk due to river runoff in the estuarine area during a storm landfall. Estuarine Coastal Shelf Sci 221:104–118

    Google Scholar 

  • Lin II, Goni GJ, Knaff JA, Forbes C, Ali MM (2013) Ocean heat content for tropical cyclone intensity forecasting and its impact on storm surge. Nat Hazards 66(3):1481–1500

    Google Scholar 

  • Maskell J, Horsburgh K, Lewis M, Bates P (2014) Investigating river–surge interaction in idealised estuaries. J Coast Res 30(2):248–259

    Google Scholar 

  • Mei W, Xie SP, Primeau F, McWilliams JC, Pasquero C (2015) Northwestern Pacific typhoon intensity controlled by changes in ocean temperatures. Sci Adv 1(4):e1500014

    Google Scholar 

  • Moftakhari HR, Salvadori G, AghaKouchak A, Sanders BF, Matthew RA (2017) Compounding effects of sea level rise and fluvial flooding. Proc Natl Acad Sci 114(37):9785–9790

    Google Scholar 

  • Nakajo S, Mori N, Kim SY, Yasuda T, Mase H (2013) Consideration of applicability of stochastic tropical cyclone model for probability assessment of storm surge. In: Proceedings of 7th international conference on Asian Pacific Coasts, September 24, vol. 26, no. 2013, pp. 613–619.

  • 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):1645–1681

    Google Scholar 

  • Nayak S, Takemi T (2019) Quantitative estimations of hazards resulting from Typhoon Chanthu (2016) for assessing the impact in current and future climate. Hydrol Res Lett 13(2):20–27

    Google Scholar 

  • Neumann T, Ahrendt K (2013) Comparing The "Bathtub Method" With Mike 21 Hd Flow Model For Modelling Storm Surge Inundation. Ecologic Institute, Berlin, Germany

    Google Scholar 

  • Nose T, Burston JM, Gee D, Tomlinson R (2013) Potential for forecasting inundation from flooding and storm surge: a case study of a small urban catchment during ex Tropical Cyclone Oswald. In: Coasts and Ports 2013: 21st Australasian Coastal and Ocean Engineering Conference and the 14th Australasian Port and Harbour Conference (p 612). Engineers Australia.

  • Oh SM, Moon IJ (2013) Typhoon and storm surge intensity changes in a warming climate around the Korean Peninsula. Nat Hazards 66(3):1405–1429

    Google Scholar 

  • Park DSR, Ho CH, Kim JH, Kim HS (2011) Strong landfall typhoons in Korea and Japan in a recent decade. J Geophys Res Atmos 116(D7).

  • Patricola CM, Wehner MF (2018) Anthropogenic influences on major tropical cyclone events. Nature 563(7731):339–346

    Google Scholar 

  • Phillips NA (1957) A coordinate system having some special advantages for numerical forecasting. J Meteorol 14(2):184–185

    Google Scholar 

  • Santiago-Collazo FL, Bilskie MV, Hagen SC (2019) A comprehensive review of compound inundation models in low-gradient coastal watersheds. Environ Model Softw 119:166–181

    Google Scholar 

  • Saunders MA, Harris AR (1997) Statistical evidence links exceptional 1995 Atlantic hurricane season to record sea warming. Geophys Res Lett 24(10):1255–1258

    Google Scholar 

  • Scoccimarro E, Gualdi S, Villarini G, Vecchi GA, Zhao M, Walsh K, Navarra A (2014) Intense precipitation events associated with land falling tropical cyclones in response to a warmer climate and increased CO2. J Clim 27(12):4642–4654

    Google Scholar 

  • Sobel AH, Camargo SJ, Hall TM, Lee CY, Tippett MK, Wing AA (2016) Human influence on tropical cyclone intensity. Science 353(6296):242–246

    Google Scholar 

  • Svensson C, Jones DA (2002) Dependence between extreme sea surge, river flow and precipitation in eastern Britain. Int J Climatol J Roy Meteorol Soc 22(10):1149–1168

    Google Scholar 

  • Svensson C, Jones DA (2004) Dependence between sea surge, river flow and precipitation in south and west Britain. Hydrol Earth Syst Sci 8(5):973–992

    Google Scholar 

  • Tromble E, Kolar R, Dresback K, Hong Y, Vieux B, Luettich R, Van Cooten S (2010) Aspects of coupled hydrologic-hydrodynamic modeling for coastal flood inundation. In: Spaulding ML (ed) Proceedings of the eleventh international conference on estuarine and coastal modeling. ASCE, Reston, pp 724–743

  • Villarini G, Lavers DA, Scoccimarro E, Zhao M, Wehner MF, Vecchi GA, Reed KA (2014) Sensitivity of tropical cyclone rainfall to idealized global-scale forcings. J Clim 27(12):4622–4641

    Google Scholar 

  • Wahl T, Jain S, Bender J, Meyers SD, Luther ME (2015) Increasing risk of compound flooding from storm surge and rainfall for major US cities. Nat Clim Change 5(12):1093

    Google Scholar 

  • Wang HV, Loftis JD, Liu Z, Forrest D, Zhang J (2014) The storm surge and sub-grid inundation modeling in New York City during Hurricane Sandy. J Mar Sci Eng 2(1):226–246

    Google Scholar 

  • Webster PJ, Holland GJ, Curry JA, Chang HR (2005) Changes in tropical cyclone number, duration, and intensity in a warming environment. Science 309(5742):1844–1846

    Google Scholar 

  • Westerink JJ, Luettich RA, Feyen JC, Atkinson JH, Dawson C, Roberts HJ, Powell MD, Dunion JP, Kubatko EJ, Pourtaheri H (2008) A basin-to channel-scale unstructured grid hurricane storm surge model applied to southern Louisiana. Monthly Weather Rev 136(3):833–864

    Google Scholar 

  • Wright DB, Knutson TR, Smith JA (2015) Regional climate model projections of rainfall from US landfalling tropical cyclones. Clim Dynam 45(11–12):3365–3379

    Google Scholar 

  • Yasuda T, Mase H, Mori N (2010) Projection of future typhoons landing on Japan based on a stochastic typhoon model utilizing AGCM projections. Hydrol Res Lett 4:65–69

    Google Scholar 

  • Yasuda T, Nakajo S, Kim S, 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. Coastal Eng 83:65–71

    Google Scholar 

  • Yoon JJ, Shim JS (2013) Estimation of storm surge inundation and hazard mapping for the southern coast of Korea. J Coastal Res 65:856–861

    Google Scholar 

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Funding

This research was supported by the SeeAt Programme funded by the Korea Meteological Administration (KMI2018-09510) and by the National Research Foundation of Korea (NRF) grant (NRF-2019R1A2C1089109).

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This study was conceived and designed by S. Son. C. Lee and S. Hwang simulated the model, analyzed the results, wrote the manuscript text and drew the figures. S. Son analyzed the results and wrote the main text. H. Yoon revised the main text. All authors reviewed the manuscript and figures.

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Correspondence to Sangyoung Son.

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Hwang, S., Son, S., Lee, C. et al. Quantitative assessment of inundation risks from physical contributors associated with future storm surges: a case study of Typhoon Maemi (2003). Nat Hazards 104, 1389–1411 (2020). https://doi.org/10.1007/s11069-020-04225-z

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