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    New hurricane impact level ranking system using artificial neural networks, A

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    http://hdl.handle.net/10217/166991
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    Pilkington_colostate_0053N_12957.pdf (76.67Mb)
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    Abstract
    Tropical cyclones are intense storm systems that form over warm water but have the potential to bring multiple related hazards ashore. While significant advancements have been made for forecasting of such extreme weather, the estimation for the resulting damage and impact to society is significantly complex and requires substantial improvements. This is primarily due to the intricate interaction of multiple variables contributing to the socio-economic damage on multiple scales. Subsequently, this makes communicating the risk, location vulnerability, and the resulting impact of such an event ...
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    Author(s)
    Pilkington, Stephanie F.

    Advisor(s)
    Mahmoud, Hussam

    Date Issued
    2015
    Format
    born digital; masters theses
    Collections
    • 2000-2019 - CSU Theses and Dissertations
    • Theses and Dissertations - Department of Civil and Environmental Engineering

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