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Abstract
Storms are one of the main causes of coastal erosion, causing substantial property and infrastructure losses in coastal communities. Coastal erosion is particularly damaging in underrepresented communities that are unable to meet building and zoning regulations due to limited resources [Lam, 2014]. The United States Geological Survey (USGS) has developed a probabilistic assessment of hurricane-induced coastal erosion for sandy coastlines along the eastern United States and the Gulf of Mexico. However, the current USGS product incorporates an empirical equation with inputs of beach slope and deep-water wave height and period [Stockdon, 2006] to predict the wave runup. Though this is appropriate for open coast sandy beaches, it is not valid for the rocky and reef lined coasts of Puerto Rico due to their complex bathymetries, steep slopes, and large bottom roughness. To expand this tool to Puerto Rico, the USGS has created 1-dimensional XBeach [Roelvink, 2009] models around the island.References
Benitez, Mercado Irizarry (2015): Storm surge modeling in Puerto Rico in support of emergency response, risk assessment, coastal planning and climate change analysis report. https://www.caricoos.org/map/storm-surge?locale=en
Lam, Arenas, Brito, Lui (2014): Assessment of vulnerability and adaptive capacity to coastal hazards in the Caribbean Region, Journal of Coastal Research, vol. 70, pp. 473-478.
Roelvink, Reniers, Dongeren, Thiel de Vries, McCall, Lescinski (2009): Modelling storm impacts on beaches, dunes and barrier islands, Coastal Engineering, vol. 56, pp. 1133-1152.
Stockdon, Holman, Howd, Sallenger (2006): Empirical parametrization of setup, swash, and run up, Coastal Engineering, ELSEVIER, vol. 53, pp. 573-588.
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Copyright (c) 2023 Legna M. Torres-Garcia, David Thompson, Kara Doran, Mark Buckley, Priscila Vargas-Babilonia, Meg L. Palmsten, Curt Storlazzi