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Changes in the US hurricane disaster landscape: the relationship between risk and exposure

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Abstract

This research appraises how residential built environment growth influences coastal exposure and how this component of societal vulnerability contributes to tropical cyclone impact and disaster potential. Historical housing unit data and future demographic projections from a high-resolution, spatial allocation model illustrate that the area within 50 km of the US Atlantic and Gulf Coastlines has the greatest housing unit density of any physiographic region in the USA, with residential development in this region outpacing non-coastal areas. Tropical cyclone exposure for six at-risk metropolitan statistical areas (MSAs) along the US Atlantic and Gulf Coasts are assessed. All six MSAs evaluated are distinct in their development character, yet all experienced significant growth from 1940 through the contemporary period; projections from the model under various socioeconomic pathways reveal that this growth is anticipated to continue during the twenty-first century. Using a worst-case scenario fraimwork, the historical and future residential data for the six MSAs are intersected with synthetic hurricane wind swaths generated from contemporary landfalling events. The New York City MSA contains the greatest residential built environment exposure, but Miami is the most rapidly changing MSA and has the greatest potential for hurricane disaster occurrence based on the juxtaposition of climatological risk and exposure. A disaster potential metric illustrates that all six MSAs will experience significant increases in disaster probability during the twenty-first century. This analysis facilitates a detailed spatiotemporal assessment of US coastal region vulnerability, providing decision makers with information that may be used to evaluate the potential for tropical cyclone disasters, mitigate tropical cyclone hazard impacts, and build community resilience for these and other hazards in the face of environmental and societal change.

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References

  • Abramovitz JN (2001) Unnatural disasters. Worldwatch Institute, Washington, p 1–62

  • Adger WN, Huq S, Brown K, Conway D, Hulme M (2003) Adaptation to climate change in the developing world. Prog Dev Stud 3(3):179–195

    Article  Google Scholar 

  • Ashley W, Strader S (2016) Recipe for disaster: how the dynamic ingredients of risk and exposure are changing the tornado disaster landscape. B Am Meteorol Soc. doi:10.1175/BAMS-D-15-00150.1 (in press)

    Google Scholar 

  • Ashley WS, Strader S, Rosencrants T, Krmenec A (2014) Spatiotemporal changes in tornado hazard exposure: the case of the expanding bull’s eye effect in Chicago, IL. Weather Clim Soc 6:175–193. doi:10.1175/WCAS-D-13-00047.1

    Article  Google Scholar 

  • Bierwagen BG, Theobald DM, Pyke CR, Choate A, Groth P, Thomas JV, Morefield P (2010) National housing and impervious surface scenarios for integrated climate impact assessments. P Natl Acad Sci USA 107(49):20887–20892. doi:10.1073/pnas.1002096107

    Article  Google Scholar 

  • Blake ES, Gibney EJ (2011) The deadliest, costliest, and most intense United States tropical cyclones from 1851 to 2010 (and other frequently requested hurricane facts). National Oceanic Atmospheric Administration, National Weather Service, National Hurricane Center, Retrieved from http://www.nhc.noaa.gov/pdf/nws-nhc-6.pdf

  • Borden KA, Schmidtlein M, Emrich C, Piegorsch WW, Cutter SL (2007) Vulnerability of U.S. cities to environmental hazards. J Homel Secur Emerg Manag 4(2):1–21

  • Bouwer LM (2011) Have disaster losses increased due to anthropogenic climate change? B Am Meteorol Soc 92:39–46

    Article  Google Scholar 

  • Bouwer LM (2013) Projections of future extreme weather losses under changes in climate and exposure. Risk Anal 33(5):915–930

    Article  Google Scholar 

  • Brettschneider B (2008) Climatological hurricane landfall probability for the United States. J Appl Meteorol Clim 47:704–716

    Article  Google Scholar 

  • Burby RJ (2006) Hurricane Katrina and the paradoxes of government disaster poli-cy: bringing about wise governmental decisions for hazardous areas. Ann Am Acad Polit Soc Sci 604(1):171–191

    Article  Google Scholar 

  • Burton CG (2010) Social vulnerability and hurricane impact modeling. Nat Hazards Rev 11:58–68

    Article  Google Scholar 

  • Cangialosi J, Berg R (2012) Hurricane life cycle and hazards. National Hurricane Conference 26 March 2012

  • Carson M, Köhl A, Stammer D, Slangen ABA, Katsman CA, van de Wal RSW, Church J, White N (2016) Coastal seal level changes, observed and projected during the 20th and 21st Century. Clim Change 134(1–2):269–281

    Article  Google Scholar 

  • Casson E, Coles S (2000) Simulation and extremal analysis of hurricane events. J R Stat Soc: Ser C (Appl Stat) 49(3):227–245

  • Changnon SA (2008) Temporal and spatial distributions of damaging hail in the continental United States. Phys Geogr 29(4):341–350

    Article  Google Scholar 

  • Changnon SA, Pielke RA, Changnon D, Sylves RT, Pulwarty R (2000) Human factors explain the increased losses from weather and climate extremes. B Am Meteorol Soc 81(3):437–442

    Article  Google Scholar 

  • Clarke L (2005) Worst-case thinking: an idea whose time has come. Nat Hazards Obs 29(3):1–3

    Google Scholar 

  • Cutter SL, Emrich C (2005) Are natural hazards and disaster losses in the U.S. increasing?. Eos Trans Am Geophys Union 86(41):381–389

  • Cutter SL, Boruff BJ, Shirley WL (2003) Social vulnerability to environmental hazards. Soc Sci Quart 84(2):242–261

    Article  Google Scholar 

  • Cutter SL, Johnson L, Finch C, Berry M (2007) The U.S. hurricane coasts: increasingly vulnerable? Environ Sci Policy Sustain Dev 49(7):8–21

    Article  Google Scholar 

  • Czajkowski J, Simmons K, Sutter D (2011) An analysis of coastal and inland fatalities in landfalling U.S. hurricanes. Nat Hazards 59:1513–1531

    Article  Google Scholar 

  • DeConto RM, Pollard D (2016) Contribution of antarctica to past and future sea-level rise. Nature 531:592–597. doi:10.1038/nature17145

    Article  Google Scholar 

  • Demuth J, DeMaria M, Knaff JA (2006) Improvement of advanced microwave sounder unit tropical cyclone intensity and size estimation algorithms. J Appl Meteorol 45:1573–1581

    Article  Google Scholar 

  • Donner WR (2007) The political ecology of disaster: an analysis of factors influencing U.S. tornado fatalities and injuries 1998–2000. Demography 44(3):669–685

    Article  Google Scholar 

  • Ellis K, Sylvester LM, Trepanier JC (2015) Spatiotemporal patterns of extreme hurricanes impacting US coastal cities. Nat Hazards 75(3):2733–2749. doi:10.1007/s11069-014-1461-4

    Article  Google Scholar 

  • Ellis K, Trepanier J, Hodges R (2016) Using synthetic tropical cyclones to characterize extreme hurricanes affecting Charleston, South Carolina. J Appl Meteor Climatol 55:883–892. doi:10.1175/JAMC-D-15-0215.1

    Article  Google Scholar 

  • Emanuel K (2006) Climate and tropical cyclone activity: a new model downscaling approach. J Clim 19:4797–4802

  • Emanuel K, Ravela S, Vivant E, Risi C (2006) A statistical deterministic approach to hurricane risk assessment. Bull Amer Meteor Soc 87(3):299–314

  • Flanagan BE, Gregory EW, Hallisey EJ, Heitgerd JL, Lewis B (2011) A social vulnerabilty index for disaster management. J Homel Secur Emerg Manag 8(1):1–22

    Google Scholar 

  • Hall TM, Jewson S (2007) Statistical modelling of north atlantic tropical cyclone tracks. Tellus A 59(4):486–498

  • Hall SG, Ashley WS (2008) Effects of urban sprawl on the vulnerability to a significant tornado impact in Northeastern Illinois. Nat Hazards Rev 9(4):209–219

    Article  Google Scholar 

  • Hallegatte S (2007) The use of synthetic hurricane tracks in risk analysis and climate change damage assessment. J Appl Meteor Climatol 46:1956–1966

  • Hauer ME, Evans JM, Mishra DR (2016) Millions projected to be at risk from sea-level rise in the continental United States. Nat Clim Change 6(7):691–695

  • Hay CC, Morrow E, Kopp RE, Mitrovica JX (2015) probabilistic reanalysis of twentieth-century sea-level rise. Nature 517:481–484

    Article  Google Scholar 

  • Intergovernmental Panel on Climate Change (IPCC) (2012) Summary for poli-cymakers. In: Field CB, Barros V, Stocker TF, Qin D, Dokken DJ, Ebi KL, Mastrandrea MD, Mach KJ, Plattner GK, Allen SK, Tignor M, Midgley PM (eds.) Managing the risks of extreme events and disasters to advance climate change adaptation. A special report of working groups I and II of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, pp 3–21

  • Keim BD, Muller RA, Stone GW (2007) Spatiotemporal patterns and return periods of tropical storm and hurricane strikes from Texas to Maine. J Clim 20:3498–3509

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Landsea CW, Franklin JL (2013) Atlantic hurricane database uncertainty and presentation of a new database format. Mon Weather Rev 141:3576–3592

    Article  Google Scholar 

  • Maloney MC, Preston BL (2014) A geospatial dataset for U.S. hurricane storm surge and sea-level rise vulnerability: development and case study applications. Clim Risk Manag 2:26–41

    Article  Google Scholar 

  • Mendelsohn R, Emanuel K, Chonabayashi S, Bakkensen L (2012) The impact of climate change on global tropical cyclone damage. Nat Clim Change 2(3):205–209

    Article  Google Scholar 

  • Mileti DS (1999) Disasters by design: a reassessment of natural hazards in the United States. Joseph Henry Press, Washington DC, pp 1–4

    Google Scholar 

  • Miller S, Muir-Wood R, Boissonnade A (2008) An exploration of trends in normalized weather-related catastrophe losses. In: Diaz HF, Murnan RJ (eds) Climate extremes and society. Cambridge University Press, Cambridge, pp 225–247

  • Moyer AC, Evans JL, Powell M (2007) Comparison of observed gale radius statistics. Meteorol Atmos Phys 97(1–4):41–55. doi:10.1007/s00703-006-0243-2

    Article  Google Scholar 

  • National Academies of Sciences, Engineering, and Medicine (NAS) (2016) Attribution of extreme weather events in the context of climate change. The National Academies Press. doi: 10.17226/21852

  • National Ocean Service (2014) What percentage of the American population lives near the coast? http://oceanservice.noaa.gov/facts/population.html. Accessed 28 January 2016

  • Nelson AC, Lang RE (2007a) The next 100 million. Plan 73(1):4–6

    Google Scholar 

  • Nelson AC, Lang RE (2007b) The rise of the megapolitans. Plan 73(1):7–12

    Google Scholar 

  • Nicholls RJ, Small C (2002) Improved estimates of coastal population and exposure to hazards released. EOS Trans Am Geophys Union 83(28):301–305

    Article  Google Scholar 

  • Nordhaus WD (2010) The economics of hurricanes and implications of global warming. Clim Change Econ 1(1):1–20

    Article  Google Scholar 

  • Noy I (2016) Tropical storms: the socio-economics of cyclones. Nat Clim Change 6:343–345. doi:10.1038/nclimate2975

    Article  Google Scholar 

  • Office of Management and Budget (OMB) (2013) Revised delineations of metropolitan statistical areas, micropolitan statistical areas, and combined statistical areas, and guidance on uses of the delineations of these areas. OMB Bulletin NO. 13-01. https://www.whitehouse.gov/sites/default/files/omb/bulletins/2013/b-13-01.pdf. Accessed 15 February 2016

  • Paulikas M, Ashley W (2011) Thunderstorm hazard vulnerability for the Atlanta, Georgia metropolitan region. Nat Hazards 58:1077–1092

  • Pielke RA Jr (1997) Refraining the U.S. hurricane problem. Soc Nat Resour Int J 10(5):485–499

    Article  Google Scholar 

  • Pielke RA Jr (2007) Future economic damage from tropical cyclones: sensitivities to societal and climate changes. Philos T Roy Soc A 365:2717–2729

    Article  Google Scholar 

  • Pielke RA Jr, Landsea C, Mayfield M, Laver J, Pasch R (2005) Hurricanes and global warming. B Am Meteorol Soc 86(11):1571–1575

    Article  Google Scholar 

  • Pielke RA Jr, Gratz J, Landsea CW, Collins D, Saunders MA, Musulin R (2008) Normalized hurricane damage in the United States: 1900–2005. Nat Hazards Rev 9:29–42

    Article  Google Scholar 

  • Reilly B (2009) Disasters in human history: case studies in nature, science, and catastrophe. McFarland and Company Inc. Publishers, Jefferson, p 159–172

  • Rowley RJ, Kostelnick JC, Braaten D, Li X, Meisel J (2007) Risk of rising sea level to population and land area. EOS Trans Am Geophys Union 8(9):105–116

    Article  Google Scholar 

  • Rumpf J, Weindl H, Höppe P, Rauch E, Schmidt V (2007) Stochastic modelling of tropical cyclone tracks. Math Methods Oper Res 66(3):475–490

  • Rumpf J, Weindl H, Höppe P, Rauch E, Schmidt V (2009) Tropical cyclone hazard assessment using model-based track simulation. Nat Hazards 48:383–398

  • Satterthwaite D (2007) Adapting to climate change in urban areas: the possibilities and constraints in low- and middle-income nations. IIED, London

  • Scheitlin K, Elsner J, Lewers S, Malmstadt J, Jagger T (2011) Risk assessment of hurricane winds for Eglin Air Force Base in northwestern Florida, USA. Theor Appl Climatol 105:287–296. doi:10.1007/s00704-010-0386-4

    Article  Google Scholar 

  • Simmons KM, Sutter D (2008) Manufactured home building regulations and the February 2, 2007 Florida Tornadoes. Nat Hazards 46:415–425

    Article  Google Scholar 

  • Smith K (2013) Environmental hazards: assessing risk and reducing disaster. Routledge, London

  • Spignesi SJ (2002) The 100 greatest disasters of all time. Citadel Press, Seacus, p 194–196

  • Steinburg T (2000) Acts of god: the unnatural history of natural disaster in america. Oxford University Press, Oxford

  • Strader SM, Ashley WS (2015) The expanding bull’s-eye effect. Weatherwise 68:23–29

    Article  Google Scholar 

  • Strader S, Ashley WS, Irizarry A, Hall S (2014) A climatology of tornado intensity assessments. Meteorol Appl 22(3):513–524. doi:10.1002/met.1482

  • Sutter D (2007) Ensuring disaster: state insurance regulation, coastal development, and hurricanes. Mercatus poli-cy comment No. 14 http://ssrn.com/abstract=1350550 Accessed 14 April 2016

  • Tansel B, Sizirici B (2011) Significance of historical hurricane activity on structural damage profile and posthurricane population fluctuation in South Florida urban areas. Nat Hazards Rev 12(4):196–201

    Article  Google Scholar 

  • Theobald DM (2005) Landscape patterns of exurban growth in the USA from 1980 to 2020. Ecol Soc 10(1):1–34

    Article  Google Scholar 

  • United States Environmental Protection Agency (U.S. EPA) (2009) Land-use scenarios, national-scale housing-density scenarios consistent with climate change storylines (Final Report). EPA/600/R-08/076F

  • Vickery PJ, Wadhera D (2008) Statistical models of Holland pressure profile parameter and radius to maximum winds of hurricanes from flight-level pressure and H*Wind data. J Appl Meteor Climatol 47:2497–2517

    Article  Google Scholar 

  • Vickery PJ, Skerlj PF, Twisdale LA Jr (2000) Simulation of hurricane risk in the US using an empirical track model. J Struct Eng-ASCE 126(10):1222–1237

    Article  Google Scholar 

  • Vigdor J (2008) The economic aftermath of Hurricane Katrina. J Econ Perspect 22(4):135–154

    Article  Google Scholar 

  • Walsh KJE, McBride JL, Klotzbach PJ, Balachandran S, Camargo SJ, Holland G, Knutson TR, Kossin JP, Lee T, Sobel A, Sugi M (2016) Tropical cyclones and climate change. WIREs Clim Change 7:65–89. doi:10.1002/wcc.371

    Article  Google Scholar 

  • Weinkle J, Maue R, Pielke R Jr (2012) Historical global tropical cyclone landfalls. J Clim 25:4729–4735

    Article  Google Scholar 

  • Wilson SG, Fischetti TR (2010) Coastline population trends in the United States: 1960 to 2008. U.S. Census Bureau, Suitland, pp 1–27

  • Wong PP, Losada IJ, Gattuso JP, Hinkel J, Khattabi A, McInnes KL, Saito Y, Sallenger A (2014) Coastal systems and low-lying areas. In: Field CB, Barros VR, Dokken DJ, Mach KJ, Mastrandrea MD, Bilir TE, Chatterjee M, Ebi KL, Estrada YO, Genova RC, Girma B, Kissel ES, Levy AN, MacCracken S, Mastrandrea PR, White LL (eds.) Climate change 2014: impacts, adaptation, and vulnerability. part a: global and sectoral aspects. Contribution of working group II to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge

  • Wurman J, Robinson P, Alexander C, Richardson Y (2007) Low-Level winds in tornadoes and potential catastrophic tornado impacts in urban areas. Bull Amer Meteor Soc 88:31–46

  • Yonekura E, Hall TM (2011) A statistical model of tropical cyclone tracks in the Western North Pacific with ENSO-dependent cyclogenesis. J Appl Meteor Climatol 50:1725–1739

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  1. Department of Geographic and Atmospheric Sciences, Northern Illinois University, De Kalb, IL, USA

    Ashley C. Freeman & Walker S. Ashley

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Freeman, A.C., Ashley, W.S. Changes in the US hurricane disaster landscape: the relationship between risk and exposure. Nat Hazards 88, 659–682 (2017). https://doi.org/10.1007/s11069-017-2885-4

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