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Hurricane flood risk assessment for the Yucatan and Campeche State coastal area

Author

Listed:
  • Wilmer Rey

    (Dirección General Marítima, Centro de Investigaciones Oceanográficas e Hidrográficas del Caribe, Barrio Bosque, Sector Manzanillo Escuela Naval
    UNAM)

  • E. Tonatiuh Mendoza

    (UNAM
    CONACyT)

  • Paulo Salles

    (UNAM
    CONACyT)

  • Keqi Zhang

    (Florida International University)

  • Yi-Chen Teng

    (National Central University
    Michael Baker International)

  • Miguel A. Trejo-Rangel

    (UNAM)

  • Gemma L. Franklin

    (UNAM
    CONACyT)

Abstract

In this study, the first ever Sea, Lake, Overland Surges from Hurricanes (SLOSH) grid was built for the Yucatan Peninsula. The SLOSH model was used to simulate storm surges in the coastal area of the states of Yucatan and Campeche (Mexico). Based on climatology, more than 39,900 hypothetical hurricanes covering all possible directions of motion were synthesized. The storm intensity (category), forward speed, radius of maximum winds and the tide anomaly were varied for each hypothetical track. According to these scenarios, the potential storm surge and associated inundation threat were computed. Subsequently, the Maximum Envelope of Water (MEOW) and the Maximum of the MEOWs (MOMs) were calculated to assess the flood hazard induced by tropical cyclones under varying conditions. In addition, for each MOM, the socioeconomic vulnerability aspects were taken into account in order to assess the hurricane flood risk for the states of Yucatan and Campeche. Results show that the most vulnerable areas are the surroundings of Terminos lagoon, Campeche City and its neighboring areas in the state of Campeche. For Yucatan, the towns located in the Northwest (Celestun, Hunucma and Progreso) and the eastern part of the state presented the highest risk values. The methodology used in this study can be applied to other coastal zones of Mexico as well as places with similar attributes. Furthermore, the MEOW and MOM are very useful as a decision-making tool for prevention, preparedness, evacuation plans, mitigation of the flood hazard and its associated risk, and also for insurance companies.

Suggested Citation

  • Wilmer Rey & E. Tonatiuh Mendoza & Paulo Salles & Keqi Zhang & Yi-Chen Teng & Miguel A. Trejo-Rangel & Gemma L. Franklin, 2019. "Hurricane flood risk assessment for the Yucatan and Campeche State coastal area," 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. 96(3), pages 1041-1065, April.
    • Handle: RePEc:spr:nathaz:v:96:y:2019:i:3:d:10.1007_s11069-019-03587-3
    DOI: 10.1007/s11069-019-03587-3
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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.
    2. George Clark & Susanne Moser & Samuel Ratick & Kirstin Dow & William Meyer & Srinivas Emani & Weigen Jin & Jeanne Kasperson & Roger Kasperson & Harry Schwarz, 1998. "Assessing the Vulnerability of Coastal Communities to Extreme Storms: The Case of Revere, MA., USA," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 3(1), pages 59-82, January.
    3. Axel Bronstert, 2003. "Floods and Climate Change: Interactions and Impacts," Risk Analysis, John Wiley & Sons, vol. 23(3), pages 545-557, June.
    4. Ning Lin & Kerry Emanuel & Michael Oppenheimer & Erik Vanmarcke, 2012. "Physically based assessment of hurricane surge threat under climate change," Nature Climate Change, Nature, vol. 2(6), pages 462-467, June.
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    Cited by:

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    2. Shuaikang Zhao & Ziwei Liu & Xiaoran Wei & Bo Li & Yefei Bai, 2021. "Intercomparison of Empirical Formulations of Maximum Wind Radius in Parametric Tropical Storm Modeling over Zhoushan Archipelago," Sustainability, MDPI, vol. 13(21), pages 1-23, October.
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