Inundation Vulnerability
The Governors’ South Atlantic Alliance supported the development of a new coastal hazard vulnerability assessment tool as one of their regional initiatives. A project team of scientists and managers from GA (C. Alexander, Skidaway Institute of Oceanography; C. Jackson, Georgia Southern Univ.; J. Kline, GA Dept. Natural Resources), NC (JP Walsh and R. Corbett, East Carolina Univ.; K. Richardson, NC Dept. Environment and Natural Resources), SC (S. Howard, SC Geological Survey; J. Boynton, SC Dept. of Health and Environmental Control) and FL (J. Jaeger, Univ. Florida; J. Dennis, FL Dept. Economic Opportunity) collaborated to design a simple, defensible and robust tool that would meet managers’ needs. C. Jackson implemented the group’s vision for the tool by building new features and capabilities into an existing tool for analyzing shoreline change (Analysis of Moving Boundaries Using ‘R’ – Shoreline Change Analysis (AMBUR-SCA); Jackson et al., 2012). The new tool (Analysis of Moving Boundaries Using ‘R’ – Hazard Vulnerability Analysis (AMBUR-HVA)) evaluates and ranks individual and composite vulnerabilities to shoreline change over both spatial and temporal dimensions (determined using AMBUR-SCA), inundation from storm and riverine flooding (using SLOSH and FEMA data), and social vulnerability in recovery from disasters (Social Vulnerability Index, S. Cutter, Univ. South Carolina). By using datasets that are widely available or easily created, this new tool provides a means of conducting consistent, regional assessments of coastal hazard vulnerability. Funding for the Alliance and this effort was provided by the National Oceanic and Atmospheric Administration.
This file represents an assessment of vulnerability associated with coastal inundation.  This process is assessed from two perspectives: from storm inundation using SLOSH modeling from the US Army Corps of Engineers; and from flooding using FEMA Q3 data.  These two hazard factors are combined to determine the final inundation hazard vulnerability assessment ranking.
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