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Hurricane wind risk in Louisiana

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  • Jill Trepanier
  • Kelsey Scheitlin

Abstract

A statistical procedure for estimating the risk of strong winds from hurricanes, known as the Hurricane Risk Calculator, is demonstrated and applied to several major cities in Louisiana. The procedure provides an estimate of wind risk over different length periods and can be applied to any location experiencing this hazard. Results show that an area 100 km around the city of New Orleans can expect to see hurricane winds blowing at 49 ms −1 (44.3–53.7) [90 % confidence interval (CI)] or stronger, on average, once every 20 years. In comparison, for the same time period, the capital city of Baton Rouge and the surrounding area can expect to see hurricane winds of 43 ms −1 (38.2–47.8) (90 % CI) or stronger. Hurricane track direction is also analyzed at the cities of interest. For Morgan City, Lafayette, Lake Charles, and Alexandria, tropical cyclones with winds at least 18 ms −1 travel from the southeast to northwest. New Orleans and Baton Rouge tropical cyclones have a greater tendency to turn toward the east while within 100 km of the city, historically giving them a southwesterly approach. Tropical cyclones within 350 km off the south-central Louisiana coast occur most often in September, and the most extreme of these events are becoming stronger through time as shown with quantile regression. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Jill Trepanier & Kelsey Scheitlin, 2014. "Hurricane wind risk in Louisiana," 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. 70(2), pages 1181-1195, January.
    • Handle: RePEc:spr:nathaz:v:70:y:2014:i:2:p:1181-1195
    DOI: 10.1007/s11069-013-0869-6
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    References listed on IDEAS

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    1. James B. Elsner & James P. Kossin & Thomas H. Jagger, 2008. "The increasing intensity of the strongest tropical cyclones," Nature, Nature, vol. 455(7209), pages 92-95, September.
    2. Paul Embrechts & Sidney Resnick & Gennady Samorodnitsky, 1999. "Extreme Value Theory as a Risk Management Tool," North American Actuarial Journal, Taylor & Francis Journals, vol. 3(2), pages 30-41.
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    Cited by:

    1. Pankaj Bhardwaj & Omvir Singh & R. B. S. Yadav, 2020. "Probabilistic assessment of tropical cyclones’ extreme wind speed in the Bay of Bengal: implications for future cyclonic hazard," 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. 101(1), pages 275-295, March.
    2. Jian Li & Kaan Ozbay & Bekir Bartin, 2015. "Effects of Hurricanes Irene and Sandy in New Jersey: traffic patterns and highway disruptions during evacuations," 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. 78(3), pages 2081-2107, September.
    3. Kelsey Ellis & Linda Sylvester & Jill Trepanier, 2015. "Spatiotemporal patterns of extreme hurricanes impacting US coastal cities," 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. 75(3), pages 2733-2749, February.

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