Abstract
This paper investigates the potential effect of climate change on future hurricanes and the corresponding losses in residential buildings. Four climate change scenarios projected by the United Nations Intergovernmental Panel on Climate Change in 2013 are adopted. Specifically, the effect of sea surface temperature on hurricanes generated in the North Atlantic Ocean and making landfall in Florida is studied, which is then used to observe the impact of the change in sea surface temperature caused by climate change on future hurricane damage and loss for Miami-Dade County. It is found that when the North Atlantic sea surface temperature increases by a degree Celsius, the 3-s gust wind speed with a recurrence interval of 700 years increases by roughly for the county. This results in the accumulated hurricane loss for the county from 2016 to 2055 considering the climate change scenarios to be 1.4–1.7 times the value calculated based on 2006 climate conditions.
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References
Applied Research Associates. (2001). “Hazard mitigation study for the Hawaii Hurricane Relief Fund.”, Raleigh, NC.
ASCE. (2010). “Minimum design loads for buildings and other structures.” ASCE 7-10, Reston, VA.
Bengtsson, L., et al. (2007). “How may tropical cyclones change in warmer climate?” Tellus, 59(4), 539–561.
Bhinderwala, S. (1995). “Insurance loss analysis of single family dwellings damaged in Hurricane Andrew.” Master’s thesis, Clemson Univ., Clemson, SC.
Bjarnadottir, S., Li, Y., and Stewart, M. G. (2011). “A probabilistic based framework for impact and adaptation assessment of climate change on hurricane damage risks and costs.” Struct. Saf., 33(3), 173–185.
Bjarnadottir, S., Li, Y., and Stewart, M. G. (2013). “Regional loss estimation due to hurricane wind and hurricane-induced surge considering climate variability.” Struct. Infrastruct. Eng., 10(11), 1369–1384.
Cope, A. (2004). “Predicting the vulnerability of typical residential buildings to hurricane damage.” Ph.D. dissertation, Univ. of Florida, Gainesville, FL.
Emanuel, K. (2008). “The hurricane climate connection.” Bull. Am. Meteor. Soc., 89(7), ES10–ES20.
Emanuel, K. A. (2011). “Global warming effects on U.S. hurricane damage.” Weather Clim. Soc., 3(4), 261–268.
FEMA. (2013). “Hazus—MH 2.1 technical manuals.” ⟨http://www.fema.gov/media-library-data/20130726-1820-25045-9850/hzmh2_1_hr_tm.pdf⟩ (Mar. 18, 2017).
Georgiou, P. N., Davenport, A. G., and Vickery, B. J. (1983). “Design wind speeds in regions dominated by tropical cyclones.” J. Wind Eng. Ind. Aerodyn., 13(1), 139–152.
Gurley, K., et al. (2005). “Development calibration and validation of vulnerability matrices of the Florida public hurricane loss projection model.” Florida International Univ., Miami.
Hazus [Computer software]. FEMA, Washington, DC.
Insurance Information Institute. (2017). “Facts + statistics: U.S. catastrophes.” ⟨http://www.iii.org/fact-statistic/catastrophes-us⟩ (Feb. 10, 2017).
IPCC (Intergovernmental Panel on Climate Change). (2000). “Emission scenarios.” Special Rep. of IPCC Working Group III, Cambridge University Press, Cambridge, U.K.
IPCC (Intergovernmental Panel on Climate Change). (2013). “Climate change 2013: The physical science basis.” Working Group I Contribution to the Fifth Assessment Rep. of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, U.K.
Knutson, T. R., et al. (2010). “Tropical cyclones and climate change.” Nat. Geosci., 3(3), 157–163.
Knutson, T. R., Sirutis, J. J., Garner, S. T., Vecchi, G. A., and Held, I. M. (2008). “Simulated reduction in Atlantic hurricane frequency under twenty-first-century warming conditions.” Nat. Geosci., 1(6), 359–364.
Landsea, C. W., Franklin, J., and Beven, J. (2015). “The revised Atlantic hurricane database (HURDAT2).” ⟨http://www.aoml.noaa.gov/hrd/hurdat/hurdat2-1851-2015-070616.txt⟩ (Jan. 10, 2017).
Landsea, C. W., Vecchi, G. A., Bengtsson, L., and Knutson, T. R. (2010). “Impact of duration thresholds on Atlantic tropical cyclone counts.” J. Clim., 23(10), 2508–2519.
Liu, F. (2014). “Projections of future US design wind speeds due to climate change for estimating hurricane losses.” Ph.D. thesis, Clemson Univ., Clemson, SC.
Mann, M. E., and Emanuel, K. (2006). “Atlantic hurricane trends linked to climate change.” Eos, 87(24), 233–244.
Mann, M. E., Sabbatelli, T. A., and Neu, U. (2007). “Evidence for a modest undercount bias in early historical Atlantic tropical cyclone counts.” Geophys. Res. Lett., 34(22), L22707.
Miami-Dade County Department of Planning and Zoning. (2011). “2010 census tracts, Miami-Dade County, Florida.” ⟨http://www.miamidade.gov/planning/library/maps/census-2010-tracts.pdf⟩ (Jul. 26, 2017).
Mudd, L., Wang, Y., Letchford, C., and Rosowsky, D. (2013). “Assessing climate change impact on the U.S. East Coast Hurricane Hazard. II: Sea surface temperature and hurricane frequency.” Proc., Safety, Reliability, Risk and Life-Cycle Performance of Structures & Infrastructures, Deodatis, G., Ellingwood, B. R., and Frangopol, D. M., eds., Taylor & Francis Group, London, 1471–1478.
Mudd, L., Wang, Y., Letchford, C., and Rosowsky, D. (2014). “Assessing climate change impact on the U.S. East Coast hurricane hazard: Temperature, frequency, and track.” Nat. Hazards Rev., 04014001.
NCEI (National Centers for Environmental Information). (2015a). “Extended reconstructed sea surface temperature (ERSST) v4.” National Oceanic and Atmospheric Administration ⟨https://www.ncdc.noaa.gov/data-access/marineocean-data/extended-reconstructed-sea-surface-temperature-ersst-v4⟩ (Dec. 1, 2015).
NCEI (National Centers for Environmental Information). (2015b). “IBTrACS.” National Oceanic and Atmospheric Administration ⟨https://www.ncdc.noaa.gov/ibtracs/⟩ (Dec. 1, 2015).
Nordhaus, W. D. (2010). “The economics of hurricanes and implications of global warming.” Clim. Change Econ., 1(1), 1–20.
Oouchi, K., Yoshimura, J., Yoshimura, H., Mizuta, R., Kusonoki, S., and Noda, A. (2006). “Tropical cyclone climatology in a global warming climate as simulated in a 20 km-mesh global atmospheric model: Frequency and wind intensity analyses.” J. Meteor. Soc. Jpn, 84(2), 259–276.
Pielke, R. A., Jr., Gratz, J., Landsea, C. W., Collins, D., Saunders, M. A., and Musulin, R. (2008). “Normalized hurricane damage in the United States: 1900–2005.” Nat. Hazards Rev., 29–42.
Rosowsky, D., Sparks, P., and Huang, Z. (1999). Wind field modeling and hurricane hazard analysis, Clemson Univ., Clemson, SC.
U.S. Census Bureau. (2015). “American FactFinder: Results.” ⟨https://factfinder.census.gov/faces/nav/jsf/pages/index.xhtml⟩ (Feb. 10, 2017).
Vickery, P. J., Skerlj, P. F., Lin, J., Twisdale, L. A., Young, M. A., and Lavelle, F. M. (2006). “HAZUS-MH hurricane model methodology. II: Damage and loss estimation.” Nat. Hazards Rev., 94–103.
Vickery, P. J., and Wadhera, D. (2008). “Statistical models of the Holland pressure profile parameter and radius to maximum winds of hurricanes from flight level pressure and H* wind data.” J. Appl. Meteorol. Climatol., 47(10), 2497–2517.
Vickery, P. J., Wadhera, D., Galsworthy, J., Peterka, J. A., Irwin, P. A., and Griffis, L. A. (2010). “Ultimate wind load design gust wind speeds in the United States for use in ASCE-7.” J. Struct. Eng., 613–625.
Vickery, P. J., Wadhera, D., Powell, M. D., and Chen, Y. (2009a). “A hurricane boundary layer and wind field model for use in engineering applications.” J. Appl. Meteorol. Climatol., 48(2), 381–405.
Vickery, P. J., Wadhera, D., Twisdale, L. A., Jr., and Lavelle, F. M. (2009b). “U.S. hurricane wind speed risk and uncertainty.” J. Struct. Eng., 301–320.
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Published In
Journal of Structural Engineering
Volume 144 • Issue 6 • June 2018
Copyright
©2018 American Society of Civil Engineers.
History
Received: Mar 22, 2017
Accepted: Nov 15, 2017
Published online: Apr 3, 2018
Published in print: Jun 1, 2018
Discussion open until: Sep 3, 2018
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