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Exposure of US counties to Atlantic tropical storms and hurricanes, 1851–2003

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  • Paul Zandbergen

Abstract

Exposure of counties in the continental United States to tropical storm and hurricane conditions was determined using the historic record of storm tracks for the period 1851–2003. Two approaches were used to determine exposure: (1) cumulative number of hits, with a hit occurring when the storm’s path crosses a county and (2) cumulative exposure factor, which describes how much of the county has been exposed to tropical storm, hurricane, and intense hurricane-force winds. In both approaches the top 10 counties in terms of cumulative exposure are in coastal Florida, North Carolina, and Louisiana. An explanatory model was developed to describe the patterns in the documented exposure, which included distance to coast, latitude, longitude, size, and shape of the counties. Multivariate linear regression confirmed that much of the spatial variability in exposure to storm conditions can be explained with these simple parameters. Copyright Springer Science+Business Media B.V. 2009

Suggested Citation

  • Paul Zandbergen, 2009. "Exposure of US counties to Atlantic tropical storms and hurricanes, 1851–2003," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 48(1), pages 83-99, January.
    • Handle: RePEc:spr:nathaz:v:48:y:2009:i:1:p:83-99
    DOI: 10.1007/s11069-008-9250-6
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    References listed on IDEAS

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    1. Kerry Emanuel, 2005. "Increasing destructiveness of tropical cyclones over the past 30 years," Nature, Nature, vol. 436(7051), pages 686-688, August.
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    Cited by:

    1. Jeffrey Czajkowski & Kevin Simmons & Daniel Sutter, 2011. "An analysis of coastal and inland fatalities in landfalling US hurricanes," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 59(3), pages 1513-1531, December.
    2. Davlasheridze, Meri & Fisher-Vanden, Karen & Allen Klaiber, H., 2017. "The effects of adaptation measures on hurricane induced property losses: Which FEMA investments have the highest returns?," Journal of Environmental Economics and Management, Elsevier, vol. 81(C), pages 93-114.
    3. Fang Chen & Huicong Jia & Enyu Du & Lei Wang & Ning Wang & Aqiang Yang, 2021. "Spatiotemporal Variations and Risk Analysis of Chinese Typhoon Disasters," Sustainability, MDPI, vol. 13(4), pages 1-15, February.
    4. Ann-Margaret Esnard & Alka Sapat & Diana Mitsova, 2011. "An index of relative displacement risk to hurricanes," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 59(2), pages 833-859, November.

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