Characterization of Coastal Flood Damage States for Residential Buildings
Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 5, Issue 1
Abstract
Risk management programs and catastrophe models use fragility and vulnerability curves extensively. For the case of coastal flood events, the independent variable for these damage functions is usually the inundation depth, sometimes combined with some expression of water velocity or wave action. Postdisaster surveys often provide the basis for these damage functions, where the investigators classify the observed damage into broad categories based on qualitative descriptions. This paper describes a method to transform these qualitative evaluations into quantitative descriptions of damage states, which are then applied to develop fragility and vulnerability curves. The authors present this process within the context of the development of coastal flood fragility and vulnerability functions for the Florida Public Hurricane Loss Model. The model characterizes and quantifies the damage states specific to a set of fragility curves by using damage distributions and component cost analysis and transforms the fragility curves into a vulnerability curve. The paper analyzes the uncertainties in the model due to the number and quantification of the damage states and an adjustment function included in the discretization process. The analysis shows that the number of damage states governs the overall uncertainty. Model outputs are compared with USACE expert opinion depth-damage functions to validate the model and identify aspects for further refinement.
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Acknowledgments
This research is supported by the State of Florida through a Department of Financial Services (FDFS) grant to the Florida International University International Hurricane Research Center. The opinions, findings and conclusions expressed in this paper are not necessarily those of the FDFS.
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Information & Authors
Information
Published In
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 5 • Issue 1 • March 2019
Copyright
©2019 American Society of Civil Engineers.
History
Received: Nov 8, 2017
Accepted: Oct 12, 2018
Published online: Jan 11, 2019
Published in print: Mar 1, 2019
Discussion open until: Jun 11, 2019
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