Table of Contents
Geosciences, Volume 9, Issue 2 (February 2019)
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Cover Story (view full-size image) Coastal managers and communities often rely on design storm scenarios to define flood-prone areas. [...] Read more. Coastal managers and communities often rely on design storm scenarios to define flood-prone areas. When tide gauge records are limited, knowledge on historical extreme events is crucial to validate flood models and assess the impact of sea level rise. In this study, the process-based XBeach model is used for hydrodynamic simulations of extreme floods in Maria (Eastern Canada). The model is first validated with field observations of waves and water levels. Based on field surveys of sediment deposited inland during a flood in December 2010, results underline the good performance of XBeach (60% fit) for coastal flood mapping. Using a local sea level trend from tide gauge analyses, this paper shows that sea level rise on the low-lying coastal community of Maria could induce a larger flood area in 2100, deeper floodwater, and higher flow velocities, resulting in a higher hazard for the population. View this paper