Storm Surge Inundation Modelling for National Parks in the Northeast US
°ÄÃÅÐþ»úͼÌýpartnered with the University of Rhode IslandÌýandÌýthe US National Park Service (NPS)Ìýon an initiative to assess the vulnerability ofÌýthreeÌýcoastalÌýNPSÌýpropertiesÌýthat experienced severe floodingÌýassociated with the landfall ofÌýHurricane Sandy in 2012. The approach focused on developing both high accuracy elevation data and new inundation models to evaluate storm surges under current and future conditions. TheÌýproject resulted inÌýa robust data infrastructure and technical procedures that will be used in preparing for and responding to future storms at these properties.
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Key Details
Project Name
Storm Surge Inundation Modeling for National Parks in the Northeast United States
Clients
- University of Rhode Island
- US National Park Services
Location
- Northeastern United Sates
Ìý
Sectors
- Leisure and tourism
- Roads
- Ports
- Flooding and Drainage
- Oil and gas
- Information and telecommunications
Services Provided
- Modelling
- Spatial analysis and GISÌý
- Sustainability
- Climate resilience
Challenge
The National Park Service managesÌýa number ofÌýiconic cultural and natural resources along the Northeast coast, including the Statue of Liberty and Ellis Island in New York Harbor, numerous sites within Gateway National Recreation Area (GATE), Fire Island National Seashore (FIIS), and Assateague Island National Seashore (ASIS). AllÌýof these locations experienced damaging coastal floodingÌýduringÌýHurricaneÌýSandy, in part becauseÌýgeospatialÌýdataÌýon flood risk inside the parks were not available.ÌýIn the years following the event, the NPS has sought to develop tools and models thatÌýhelp identifyÌývulnerableÌýareas of these properties,ÌýallowingÌýpark managers to prioritize resources during pre-storm planning.
Solution
°ÄÃÅÐþ»úͼ developed a custom application using theÌýADvancedÌýCIRCulationÌý(ADCIRC) computer model, which wasÌýresolvedÌýto capture detailed coastal features such as inlets, marshes, and nearshore bars, and was updated with the best available elevation data including post-Sandy LiDAR and ground survey pointsÌýatÌýkey park infrastructure.
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