Spatially explicit mapping of hurricane risk in New England, USA using ArcGIS
Hurricanes are one of the major natural disturbances affecting human livelihoods in coastal zones worldwide. Assessing hurricane risk is an important step toward mitigating the impact of tropical storms on human life and property. This study uses NOAA’s historical tropical cyclone database (HURDAT or ‘best-track’), geographic information systems, and kernel smoothing techniques to generate spatially explicit hurricane risk maps for New England. Southern New England had the highest hurricane risk across the region for all storm intensities. Long Island, western Connecticut, western Massachusetts, and southern Cape Cod, Martha’s Vineyard, and Nantucket had high storm probabilities and wind speeds. Results from this study suggest that these locations may be of central importance for focusing risk amelioration resources along the Long Island and New England coastlines. This paper presents a simple methodology for hurricane risk assessment that could be applied to other regions where long-term spatial storm track data exist. Copyright Springer Science+Business Media B.V. 2010
Year of publication: |
2010
|
---|---|
Authors: | Poulos, H. |
Published in: |
Natural Hazards. - International Society for the Prevention and Mitigation of Natural Hazards. - Vol. 54.2010, 3, p. 1015-1023
|
Publisher: |
International Society for the Prevention and Mitigation of Natural Hazards |
Subject: | Risk assessment | Hurricane susceptibility | New England | Kernel density estimate | ArcGIS |
Saved in:
Saved in favorites
Similar items by subject
-
Minimum Disparity Estimator in Continuous Time Stochastic Volatility Model
Li, Ziliang, (2010)
-
Minimax kernels for density estimation with biased data
Wu, Colin, (1996)
-
Nonparametric density estimation for symmetric distributions by contaminated data
Maiboroda, Rostyslav, (2012)
- More ...