PI | |
Project Type | Simulation |
Natural Hazard Type(s) | Hurricane/Tropical Storm |
Facilities | |
Awards | Integrating High-Fidelity Models with New Remote Sensing Techniques to Predict Storm Impacts on Louisiana Coastal and Deltaic Systems | 21.015/RCEGR260003-01-00 Cyber SEES: A Coastal Resilience Collaboratory: Cyber-enabled Discoveries for Sustainable Deltaic Coasts | NSF 1856395 |
Related Work | |
Keywords | Delft3D, XBeach, SWAN, Hurricane Impact, Storm Surge, morphological change |
Coastal barriers serve as the first line of defense against oceanic and meteorological forces. Extreme storms cause large morphological changes on coastal barriers, which may degrade their defensive capabilities. The understanding of morphological impacts is therefore important for coastal resiliency, but is often challenged by site-specific characteristics, such as land cover and sediment availability, and their poorly understood impacts on the governing physical processes. This project simulated the hurricane impact on Caminada Headland in Louisiana by coupling Delft3D and XBeach. The data can be reused to compare the impacts of different hurricanes and test different barrier island restoration strategies. The audience includes coastal engineers and scientists who are interested in modeling hurricane impacts.