Tropical Cyclones are a continuing threat to life and property. Willoughby (2012) found that a Pareto (power-law) cumulative distribution fitted to the most damaging 10% of US hurricane seasons fit their impacts well. Here, we find that damage follows a Pareto distribution because the assets at hazard follow a Zipf distribution, which can be thought of as a Pareto distribution with exponent 1. The Z-CAT model is an idealized hurricane catastrophe model that represents a coastline where populated places with Zipf- distributed assets are randomly scattered and damaged by virtual hurricanes with sizes and intensities generated through a Monte-Carlo process. Results produce realistic Pareto exponents. The ability of the Z-CAT model to simulate different climate scenarios allowed testing of sensitivities to Maximum Potential Intensity, landfall rates and building structure vulnerability. The Z-CAT model results demonstrate that a statistical significant difference in damage is found when only changes in the parameters create a doubling of damage.
Identifer | oai:union.ndltd.org:fiu.edu/oai:digitalcommons.fiu.edu:etd-2612 |
Date | 02 July 2014 |
Creators | Hernandez, Javiera I |
Publisher | FIU Digital Commons |
Source Sets | Florida International University |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | FIU Electronic Theses and Dissertations |
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