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contributor authorFrancis M. Lavelle
contributor authorDavid R. Mizzen
contributor authorAndrea M. Jackman
contributor authorDouglas Bausch
contributor authorPeter J. Vickery
contributor authorJesse Rozelle
contributor authorMaureen E. Kelly
contributor authorCasey Zuzak
date accessioned2024-04-27T20:57:15Z
date available2024-04-27T20:57:15Z
date issued2023/11/01
identifier other10.1061-NHREFO.NHENG-1638.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4296326
description abstractThe implementation and validation of the Federal Emergency Management Agency’s Hazus Hurricane Model for Puerto Rico and the US Virgin Islands are presented in this paper. Previous versions of the model addressed 22 hurricane-prone states in the United States but lacked the necessary data sets for use in the Caribbean territories. To remedy this limitation, several data sets were developed and incorporated into the model, including a comprehensive building inventory, estimates of the relative frequencies of various architectural and structural features of buildings that are relevant to their performance in high winds, estimates of aerodynamic surface roughness, a simplified inventory of characteristics relevant to tree blowdown and debris management, and deterministic wind field footprints. This paper presents results produced by the enhanced model that were validated and calibrated against several metrics of damage and loss reported in the literature for Hurricanes Irma and Maria, with generally good alignment. For those metrics with less robust levels of agreement, the differences appear to be largely attributable to limitations in our knowledge of the building characteristics, limitations in the model’s census tract aggregate level of analysis, or differences between the units of analysis and observation.
publisherASCE
titleHurricane Wind Loss Estimation for Puerto Rico and the US Virgin Islands: Model Implementation and Validation
typeJournal Article
journal volume24
journal issue4
journal titleNatural Hazards Review
identifier doi10.1061/NHREFO.NHENG-1638
journal fristpage04023034-1
journal lastpage04023034-11
page11
treeNatural Hazards Review:;2023:;Volume ( 024 ):;issue: 004
contenttypeFulltext


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