Damage Curves Derived from Hurricane Ike in the West of Galveston Bay Based on Insurance Claims and Hydrodynamic Simulations

Abstract

Hurricane Ike, which struck the United States in September 2008, was the ninth most expensive hurricane in terms of damages. It caused nearly USD 30 billion in damage after making landfall on the Bolivar Peninsula, Texas. We used the Delft3d-FM/SWAN hydrodynamic and spectral wave model to simulate the storm surge inundation around Galveston Bay during Hurricane Ike. Damage curves were established through the relationship between eight hydrodynamic parameters (water depth, flow velocity, unit discharge, flow momentum flux, significant wave height, wave energy flux, total water depth (flow depth plus wave height), and total (flow plus wave) force) simulated by the model and National Flood Insurance Program (NFIP) insurance damage data. The NFIP insurance database contains a large amount of building damage data, building stories, and elevation, as well as other information from the Ike event. We found that the damage curves are sensitive to the model grid resolution, building elevation, and the number of stories. We also found that the resulting damage functions are steeper than those developed for residential structures in many other locations.

Keywords

Delft3d-FM / Flood risk / Hurricane Ike / Residential damage ratio / SWAN / Weibull function

References

[1] Al-Attabi, Z., Y. Xu, G. Tso, and S. Narayan. 2023. The impacts of tidal wetland loss and coastal development on storm surge damages to people and property: A Hurricane Ike case-study. Scientific Reports 13(1): Article 4620.

[2] Berg R. Tropical cyclone report Hurricane Ike, 2009, Miami, FL: National Hurricane Center

[3] Blessing R, Sebastian A, Brody SD. Flood risk delineation in the United States: How much loss are we capturing?. Natural Hazards Review, 2017

[4] Brody, S.D., and W.E. Highfield. 2011. Evaluating the effectiveness of the FEMA community rating system in reducing flood losses. Final Rep. for FEMA Mitigation Division Study, Phase I, National Institute of Building Sciences, Washington, DC.

[5] Brody S, Blessing R, Sebastian A, Bedient P. Examining the impact of land use/land cover characteristics on flood losses. Journal of Environmental Planning and Management, 2014, 57(8): 1252-1265

[6] Bricker JD, Esteban M, Takagi H, Roeber V. Economic feasibility of tidal stream and wave power in post-Fukushima Japan. Renewable Energy, 2017, 114: 32-45

[7] Bunya, S., J.C. Dietrich, J.J. Westerink, B.A. Ebersole, J.M. Smith, J.H. Atkinson, R. Jensen, D.T. Resio, 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. Monthly Weather Review 138(2): 345–377.

[8] Davlasheridze M, Atoba KO, Brody S, Highfield W, Merrell W, Ebersole B, Purdue A, Gilmer RW. Economic impacts of storm surge and the cost-benefit analysis of a coastal spine as the surge mitigation strategy in Houston-Galveston area in the USA. Mitigation and Adaptation Strategies for Global Change, 2019, 24(3): 329-354

[9] Davlasheridze, M., Q. Fan, W. Highfield, and J. Liang. 2021. Economic impacts of storm surge events: Examining state and national ripple effects. Climatic Change 166(1–2): Article 11.

[10] De Risi R, Goda K, Yasuda T, Mori N. Is flow velocity important in tsunami empirical fragility modeling?. Earth Science Reviews, 2017, 166: 64-82

[11] Deltares. 2022a. D-flow flexible mesh. Computational cores and user interface. User manual. Released for Delft3D FM Suite 2D3D 2022. Version 2022.02, SVN Revision 75614. https://oss.deltares.nl/web/delft3dfm/manuals. Accessed 16 Apr 2023.

[12] Deltares. 2022b. D-waves simulation of short-crested waves with SWAN user manual. Version 1.2, SVN Revision 75624. https://oss.deltares.nl/web/delft3dfm/manuals. Accessed 16 Apr 2023.

[13] Demuth JL, DeMaria M, Knaff JA. Improvement of advanced microwave sounding unit tropical cyclone intensity and size estimation algorithms. Journal of Applied Meteorology and Climatology, 2006, 45(11): 1573-1581

[14] Diaz-Loaiza MA, Bricker JD, Meynadier R, Duong TM, Ranasinghe R, Jonkman SN. Development of damage curves for buildings near La Rochelle during storm Xynthia based on insurance claims and hydrodynamic simulations. Natural Hazards and Earth System Sciences, 2022, 22(2): 345-360

[15] Egbert GD, Erofeeva SY. Efficient inverse modeling of barotropic ocean tides. Journal of Atmospheric and Oceanic Technology, 2002, 19(2): 183-204

[16] Englhardt J, de Moel H, Huyck CK, de Ruiter MC, Aerts JCJH, Ward PJ. Enhancement of large-scale flood risk assessments using building-material-based vulnerability curves for an object-based approach in urban and rural areas. Natural Hazards and Earth System Sciences, 2019, 19(8): 1703-1722

[17] FEMA (Federal Emergency Management Agency). 2020. NFIP’s community rating system (CRS) class 8 freeboard prerequisite. https://crsresources.org/files/2021-addendum/class_8_freeboard_faq.pdf. Accessed 10 May 2023.

[18] FEMA (Federal Emergency Management Agency). 2023. FIMA NFIP redacted claims data set. Hyattsville, MD: FEMA.

[19] Franklin JL, Landsea CW. Atlantic hurricane database uncertainty and presentation of a new database format. Monthly Weather Review, 2013, 141(10): 3576-3592

[20] Fuchs S, Heiser M, Schlögl M, Zischg A, Papathoma-Köhle M, Keiler M. Short communication: A model to predict flood loss in mountain areas. Environmental Modelling & Software, 2019, 117: 176-180

[21] Godschalk DR, Brower DJ, Beatley T. Catastrophic coastal storms: Hazard mitigation and development management, 1989, Durham: Duke University Press

[22] Hatzikyriakou, A., and N. Lin. 2018. Assessing the vulnerability of structures and residential communities to storm surge: An analysis of flood impact during Hurricane Sandy. Frontiers in Built Environment 4: Article 4.

[23] HCFCD (Harris County Flood Control District). 2009. Hurricane Ike inundation depth. https://www.hcfcd.org/About/Harris-Countys-Flooding-History/Hurricane-Ike-2008. Accessed 9 May 2023.

[24] Highfield WE, Norman SA, Brody SD. Examining the 100-year floodplain as a metric of risk, loss, and household adjustment. Risk Analysis, 2013, 33(2): 86-191

[25] Highfield WE, Brody SD, Blessing R. Measuring the impact of mitigation activities on flood loss reduction at the parcel level: The case of the clear creek watershed on the upper Texas coast. Natural Hazards, 2014, 74: 687-704

[26] Holland G. A revised hurricane pressure-wind model. Monthly Weather Review, 2008, 136(9): 3432-3445

[27] Holland GJ, Belanger JI, Fritz A. A revised model for radial profiles of hurricane winds. Monthly Weather Review, 2010, 138(12): 4393-4401

[28] Huizinga J, Moel HD, Szewczyk W. Global flood depth-damage functions, 2017, Luxembourg: Publications Office of the European Union

[29] Ichii K. A seismic risk assessment procedure for gravity type quay walls. Structural Engineering/Earthquake Engineering, 2002, 19(2): 131-140

[30] Jansen, L., P.A. Korswagen, J.D. Bricker, S. Pasterkamp, K.M. de Bruijn, and S.N. Jonkman. 2020. Experimental determination of pressure coefficients for flood loading of walls of Dutch terraced houses. Engineering Structures 216: Article 110647.

[31] Ke Q, Yin JS, Bricker JD, Savage N, Buonomo E, Ye QH, Visser P, Dong GT An integrated framework of coastal flood modelling under the failures of sea dikes: A case study in Shanghai. Natural Hazards, 2021, 109(1): 671-703

[32] Knutson T, Camargo SJ, Chan JCL, Emanuel K, Ho C-H, Kossin J, Mohapatra M, Satoh M Tropical cyclones and climate change assessment: Part I: Detection and attribution. Bulletin of the American Meteorological Society, 2019, 100(10): 1987-2007

[33] Kousky C. Financing flood losses: A discussion of the National Flood Insurance Program. Risk Management and Insurance Review, 2018, 21(1): 11-32

[34] Kreibich H, Piroth K, Seifert I, Maiwald H, Kunert U, Schwarz J, Merz B, Thieken AH. Is flow velocity a significant parameter in flood damage modelling?. Natural Hazards and Earth System Sciences, 2009, 9(5): 1679-1692

[35] Li L, Chakraborty P. Slower decay of landfalling hurricanes in a warming world. Nature, 2020, 587(7833): 230-234

[36] Makin VK. A note on the drag of the sea surface at hurricane winds. Boundary-Layer Meteorology, 2005, 115: 169-176

[37] Masoomi, H., J.W. van de Lindt, M.R. Ameri, T.Q. Do, and B.M. Webb. 2019. Combined wind-wave-surge hurricane-induced damage prediction for buildings. Journal of Structural Engineering 145(1): Article 04018227.

[38] Mendelsohn R, Emanuel K, Chonabayashi S, Bakkensen L. The impact of climate change on global tropical cyclone damage. Nature Climate Change, 2012, 2(3): 205-209

[39] Muis S, Verlaan M, Winsemius HC, Aerts JCJH, Ward PJ. A global reanalysis of storm surges and extreme sea levels. Nature Communications, 2016, 7(1): 11969-11969

[40] Nateghi, R., J.D. Bricker., S.D. Guikema, and A. Bessho. 2016. Statistical analysis of the effectiveness of seawalls and coastal forests in mitigating tsunami impacts in Iwate and Miyagi Prefectures. PLoS ONE 11(8): Article e0158375.

[41] Nederhoff K, Giardino A, Ormondt MV, Vatvani D. Estimates of tropical cyclone geometry parameters based on best-track data. Natural Hazards and Earth System Sciences, 2019, 19(11): 2359-2370

[42] NOAA (National Oceanic and Atmospheric Administration). 2023. Most expensive natural disasters in the United States as of December 2022 (in billion U.S. dollars). https://www.statista.com/statistics/744015/most-expensive-natural-disasters-usa/. Accessed 9 May 2023.

[43] Oliver-Smith, A. 2009. Sea level rise and the vulnerability of coastal peoples: Responding to the local challenges of global climate change in the 21st century. Bonn, Germany: UNU-EHS.

[44] Overpeck, S. 2009. Hurricane Ike wind analysis for southeast Texas. Dickinson, Texas: National Oceanic and Atmospheric Administration and National Weather Service. https://www.weather.gov/hgx/projects_ike08_wind_analysis. Accessed 10 Apr 2023.

[45] Paprotny D, Kreibich H, Morales-Nápoles O, Wagenaar D, Castellarin A, Carisi F, Bertin X, Merz B, Schröter K. A probabilistic approach to estimating residential losses from different flood types. Natural Hazards, 2020, 105(3): 2569-2601

[46] Pistrika AK, Jonkman SN. Damage to residential buildings due to flooding of New Orleans after hurricane Katrina. Natural Hazards, 2009, 54(2): 413-434

[47] Postacchini M, Zitti G, Giordano E, Clementi F, Darvini G, Lenci S. Flood impact on masonry buildings: The effect of flow characteristics and incidence angle. Journal of Fluids and Structures, 2019, 88: 48-70

[48] Pralle S. Drawing lines: FEMA and the politics of mapping flood zones. Climatic Change, 2019, 152(2): 227-237

[49] Rainey JL, Brody SD, Galloway GE, Highfield WE. Assessment of the growing threat of urban flooding: A case study of a national survey. Urban Water Journal, 2021, 18(5): 375-381

[50] Reed, D., Y.S. Wang, E. Meselhe, and E. White. 2020. Modeling wetland transitions and loss in coastal Louisiana under scenarios of future relative sea-level rise. Geomorphology 352: Article 106991.

[51] Reese, S., and D. Ramsay. 2010. RiskScape: Flood fragility methodology. Technical report WLG2010-45. https://www.wgtn.ac.nz/sgees/research-centres/documents/riskscape-flood-fragility-methodology.pdf. Accessed 10 May 2023.

[52] Ross AD, Atoba KO. The dimensions of individual support for coastal hazard mitigation: Analysis of a survey ofUpper Texas coast residents. Natural Hazards Review, 2022, 23(2): 04022004

[53] Ruangrassamee A, Yanagisawa H, Foytong P, Lukkunaprasit P, Koshimura S, Imamura F. Investigation of tsunami induced damage and fragility of buildings in Thailand after the December 2004 Indian Ocean Tsunami. Earthquake Spectra, 2006, 22(3): 377-401

[54] Sampson CC, Smith AM, Bates PD, Neal JC, Alfieri L, Freer JE. A high-resolution global flood hazard model. Water Resource Research, 2015, 51(9): 7358-7381

[55] Sebastian A, Proft J, Dietrich JC, Du W, Bedient PB, Dawson CN. Characterizing hurricane storm surge behavior in Galveston Bay using the SWAN+ADCIRC model. Coastal Engineering, 2014, 88: 171-181

[56] Shinozuka M, Feng MQ, Lee J, Naganuma T. Statistical analysis of fragility curves. Journal of Engineering Mechanics, 2000, 126(12): 1224-1231

[57] Suppasri, A., E. Mas, I. Charvet, R. Gunasekera, K. Imai, Y. Fukutani, Y. Abe, and F. Imamura. 2013. Building damage characteristics based on surveyed data and fragility curves of the 2011 Great East Japan tsunami. Natural Hazards 66(2): Article 319341.

[58] Tabari H. Climate change impact on flood and extreme precipitation increases with water availability. Scientific Reports, 2020, 10(1): 1-10.

[59] Takagi H, Wu W. Maximum wind radius estimated by the 50 kt radius: Improvement of storm surge forecasting over the western North Pacific. Natural Hazards and Earth System Sciences, 2016, 16(3): 705-717

[60] Tomiczek T, Kennedy A, Rogers S. Jones CP, Griffis LG. Survival analysis of elevated homes on the Bolivar Peninsula after Hurricane Ike. Advances in hurricane engineering: Learning from our past, 2013, Reston, VA: American Society of Civil Engineers 108-118.

[61] Tomiczek, T., A. Kennedy, Y. Zhang, M. Owensby, M.E. Hope, N. Lin, and A. Flory. 2017. Hurricane damage classification methodology and fragility functions derived from Hurricane Sandy’s effects in coastal New Jersey. Journal of Waterway, Port, Coastal, and Ocean Engineering 143(5): Article 04017027.

[62] Törnqvist, T.E., D.R. Cahoon, J.T. Morris, and J.W. Day. 2021. Coastal wetland resilience, accelerated sea‐level rise, and the importance of timescale. AGU Advances 2(1): Article e2020AV000334.

[63] Totschnig R, Fuchs S. Mountain torrents: Quantifying vulnerability and assessing uncertainties. Engineering Geology, 2013, 155: 31-44

[64] Tsubaki R, Bricker JD, Ichii K, Kawahara Y. Development of fragility curves for railway embankment and ballast scour due to overtopping flood flow. Natural Hazards and Earth System Sciences, 2016, 16(12): 2455-2472

[65] Tyler J, Sadiq A-A, Noonan DS, Entress RM. Decision making for managing community flood risks: Perspectives of United States floodplain managers. International Journal of Disaster Risk Science, 2021, 14(5): 649-660

[66] Veeramony, J., A.J. Condon, R.S. Linzell, and K. Watson. 2016. Validation of Delft3D as a coastal surge and inundation prediction system. Stennis Ste, MS: Naval Research Lab Stennis Detachment Stennis Space Center.

[67] Veeramony J, Condon A, Ormondt MV. Forecasting storm surge and inundation: Model validation. Weather and Forecasting, 2017, 32(6): 2045-2063

[68] Wing, O.E.J., N. Pinter, P.D. Bates, and C. Kousky. 2020. New insights into US flood vulnerability revealed from flood insurance big data. Nature Communications 11(1): Article 1444.

[69] Winsemius HC, Aerts JCJH, van Beek LPH, Bierkens MFP, Bouwman A, Jongman B, Kwadijk JCJ, Ligtvoet W Global drivers of future river flood risk. Nature Climate Change, 2015, 6(4): 381-385

[70] Xu HQ, Tian Z, Sun LX, Ye QH, Ragno E, Bricker J, Mao GQ, Tan JK Compound flood impact of water level and rainfall during tropical cyclone periods in a coastal city: The case of Shanghai. Natural Hazards and Earth System Sciences, 2022, 22(7): 2347-2358

[71] Xu, C.R., Y. Yang, F. Zhang, R.Z. Li, Z.H. Li, Y.P. Wang, and J.J. Jia. 2022. Spatial-temporal distribution of tropical cyclone activity on the eastern sea area of China since the late 1940s. Estuarine, Coastal and Shelf Science 277(31): Article 208067.

[72] Zhang L, Singh VP. Frequency analysis of flood damage. Journal of Hydrologic Engineering, 2005, 10(2): 100-109

[73] Zou, P.X., J.D. Bricker, and W.S.J. Uijttewaal. 2020. Impacts of extreme events on hydrodynamic characteristics of a submerged floating tunnel. Ocean Engineering 218: Article 108221.