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\begin{document}

\title{A Physics-Based Classification of Coastal Land-Margins based on Surface
Flow}



\author[1]{Felix Santiago-Collazo}%
\author[1]{Matthew Bilskie}%
\author[2]{Peter Bacopoulos}%
\author[2]{Kory Konsoer}%
\author[2]{Scott Hagen}%
\affil[1]{University of Georgia}%
\affil[2]{Louisiana State University}%


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  \date{June 05, 2024}


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\begin{abstract}
Worldwide coastal land-margins are prone to many flood hazards such as
astronomical tides, tropical cyclones, sea-level rise, and extreme
precipitation events. Compound flood events, in which two or more
flooding mechanisms occur simultaneously or in close succession
(Santiago-Collazo et al., 2019, \url{https://doi.org/10.1016/j.envsoft}.
2019.06.002), can exacerbate the inundation impacts due to the highly
non-linear interaction of coastal and hydrologic processes. Furthermore,
sea-level rise will increase the hazard at low-gradient coastal
land-margins when assessing future projections due to its non-linear
nuance on the compound flood (Santiago-Collazo et al., 2021,
\url{https://doi.org/10.3389/fclim.2021.684035}). Therefore, there is an
urgent need to develop new technologies capable of comprehensively
studying compound flood events and identifying hotspots prone to these
inundations. This research aims to develop a technique capable of
defining and classifying coastal land- margins based on physically-based
criteria due to surface flow hydrodynamics. A one-dimensional (1-D)
hydrodynamic model was used to quantify the hydrodynamic response of
thousands of different combinations of input parameters (e.g.,
astronomical tides, storm surge, precipitation, and landscape) that
define a coastal land-margin. This 1-D fully-coupled model, based on the
shallow water equations, was applied at a national spatial scale,
considering several coastal watersheds within the Gulf of Mexico and the
US East coast. One of the main goals of this tool is to identify coastal
land-margins vulnerable to compound flood hazards over broad spatial
scales (e.g., national or global scale). Findings suggest that
low-gradient (e.g., slopes less than 0.01 m km\textsuperscript{-1})
coastal land-margins are more susceptible to compound flood impacts than
ones with a steeper gradient under most flooding scenarios. Future
research will focus on applying this tool on a worldwide basis to test
its capabilities at low-resolution, scarce data regions. A worldwide
classification of coastal land-margins may help authorities,
policy-makers, and professionals converge on better coastal resilience
measures, such as comprehensive compound flood analysis to delineate
accurate compound flood hazard maps.

Full online poster version
at~\href{http://agu2021fallmeeting-agu.ipostersessions.com/Default.aspx?s=FA-1F-20-67-21-4E-E7-69-9F-89-1E-33-BB-3D-2D-40}{agu2021fallmeeting-agu.ipostersessions.com/Default.aspx?s=FA-1F-20-67-21-4E-E7-69-9F-89-1E-33-BB-3D-2D-40}%
\end{abstract}%



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