#7620. Community flood vulnerability and risk assessment: An empirical predictive modeling approach

October 2026publication date
Proposal available till 23-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Geography, Planning and Development;
Safety, Risk, Reliability and Quality;
Water Science and Technology;
Environmental Engineering;
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Abstract:
Effective assessment of flood vulnerability and risk is essential for communities to manage flood hazards. This paper presents an empirical modeling methodology to predict flood vulnerability and risk, considering factors of hazard distribution, property exposure, built environment, and socio-demographic and economic characteristics of a community. Vulnerability is empirically modeled as the expected fraction of property loss that is uninsured within a community given water depth. Risk is derived as the expected annual uninsured property loss and loss ratio.
Keywords:
built environment; disaster risk reduction; National Flood Hazard Layer; National Flood Insurance Program; North Carolina; social vulnerability; United States; zero-inflated modeling

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