Assessing economic impact of storm surge under projected sea level rise scenarios

Global sea level is expected to rise 0.2-2m by the year 2100. Rising sea level is expected to have a number of impacts such as erosion, saltwater intrusion, and decline in coastal wetlands; all which have direct and indirect socio-economic impact to coastal communities. By 2050, 25% of the world's population will reside within flood-prone areas. These statistics raise a concern for the economic cost that sea level and flooding has on the growing coastal communities. Economic cost of storm surge inundation and rising seas may include loss or damage to public facilities and infrastructure that may become temporarily inaccessible, as well as disruptions to business and services. This goal of this project is to assess economic impacts of storms under four SLR scenarios including low, intermediate-low, intermediate-high, and high (0.2m, 0.5m, 1.2m and 2m, respectively) in the Northern Gulf of Mexico region. To assess flooding impact on communities from storm surge, this project utilizes HAZUS-MH software - a Geographic Information System (GIS)-based modeling tool developed by the Federal Emergency Management Agency - to estimate physical, economic, and social impacts of natural disasters such as floods, earthquakes and hurricanes. The HAZUS database comes integrated with aggregate and site specific inventory which includes: demographic data, general building stock, agricultural statistics, vehicle inventory, essential facilities, transportation systems, utility systems (among other sensitive facilities). User-defined inundation scenarios will serve to identify assets at risk and damage estimates will be generated using the Depth Damage Function included in the HAZUS software. Results will focus on 3 communities in the Gulf and highlight changes in storm flood impact. This approach not only provides a method for economic impact assessment but also begins to create a link between ecosystem services and natural and nature-based features such as wetlands, beaches and dunes. Results from this analysis can provide actionable information needed for policy development and planning for coastal communities.