A simple model to estimate the impact of sea-level rise on platform beaches

Taborda, Rui; Ribeiro, Mónica

doi:10.1016/j.geomorph.2015.01.015

Cited by 22 publications

(6 citation statements)

References 25 publications

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“…The results obtained in Figure 7 are consistent with previous statements that small beaches, relatively isolated from the adjacent hydro-sedimentary systems, are more vulnerable to sealevel rise and wave changes than developed beaches (Brunel and Sabatier, 2009;Dodet et al, 2010;Taborda and Ribeiro, 2015;Castelle et al, 2018). Furthermore, the results presented in section "Dynamics of Coastal Evolution" show that small beaches (with lengths ranging from 200 to 1000 m, and bounded by rocky capes) and with limited human interventions are experiencing a shift toward erosion.…”

Section: Can We Interpret the Observed Coastal Evolution Changes?supporting

confidence: 89%

Detecting Changes in European Shoreline Evolution Trends Using Markov Chains and the Eurosion Database

Cozannet¹,

Oliveros²,

Brivois³

et al. 2020

Front. Mar. Sci.

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European coastal databases contain information on the evolution of European shorelines in the 1990s and the 1980s. We investigate if a shift toward erosion has been observed between these two periods, as it could be expected as a consequence of contemporary sea-level rise or changing coastal management practices. We select comparable European coastal sites, consider their state transitions as the parameters of a discretetime Markov chain, and analyze their steady states in order to reveal underlying changes in shoreline evolution trends. The results suggest that European coastal wetlands and small beaches have initiated a shift toward erosion, which attenuates previous optimistic statements. Our results should be interpreted with caution due to the limited number of observations and presumed errors in the database. However, they suggest that the impact of contemporary sea-level rise along European coastlines in the 1990s may be more important than previously thought. Our results suggest that more research is needed to quantify the morphodynamics of muddy coasts and to develop data models able to represent coastal morphodynamic changes adequately.

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Section: Can We Interpret the Observed Coastal Evolution Changes?supporting

confidence: 89%

Detecting Changes in European Shoreline Evolution Trends Using Markov Chains and the Eurosion Database

Cozannet¹,

Oliveros²,

Brivois³

et al. 2020

Front. Mar. Sci.

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“…Several models have considered the effect of sea level rise on platform-beaches. In Tarborda and Ribeiro's [70] model, beach sand volume and profile shape remain constant as sea level rises, whereas in Trenhaile's [40] model, the response of platform-beaches to rising sea level varies according to the profile shape and gradient of the rock foundation, the amount and grain size of the sediment, and prevailing wave conditions (Figure 7).…”

Section: Changes In Relative Sea Levelmentioning

confidence: 99%

Hard-Rock Coastal Modelling: Past Practice and Future Prospects in a Changing World

Trenhaile

2019

JMSE

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This paper reviews the history of conceptual and numerical modelling of hard rock coasts (mean annual cliff erosion typically < 1 mm up to 1 cm) and its use in studying coastal evolution in the past and predicting the impact of the changing climate, and especially rising sea level, in the future. Most of the models developed during the last century were concerned with the development and morphology of shore-normal coastal profiles, lacking any sediment cover, in non-tidal environments. Some newer models now consider the plan shape of rock coasts, and models often incorporate elements, such as the tidally controlled expenditure of wave energy within the intertidal zone, beach morphodynamics, weathering, changes in relative sea level, and the role of wave refraction and sediment accumulation. Despite these advances, the lack of field data, combined with the inherent complexity of rock coasts and uncertainty over their age, continue to inhibit attempts to develop more reliable models and to verify their results.

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“…Simple models have been proposed recently to better understand the morphodynamic behavior of platform-beaches (Trenhaile 2004;Taborda and Ribeiro 2015). Even though more research is being conducted toward model development , for coastal flood assessment purpose, using a simple empirical approach in a dissipative environment such as the Rimouski-Sainte-Flavie area has proven to reasonably predict wave runup, especially during storm and energetic conditions as previously noted (Melby et al 2012;Stockdon et al 2014).…”

Section: An Empirical Runup Relationship For Platform-beachesmentioning

confidence: 97%

Wave runup estimations on platform-beaches for coastal flood hazard assessment

et al. 2016

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Wave runup in a shore platform environment has been acquired by in situ measurements at high tide and along field debris following the December 6, 2010, flood near Rimouski (Quebec, Canada), south coast of the St. Lawrence estuary. Using offshore wave data and beach slopes, a linear empirical runup relationship has been adjusted to the study site and showed good predictive results. Two types of beach slopes, the upper foreshore and foreshore slopes, have been assessed in order to calculate the surf similarity parameter. It appears that the foreshore slope, located between the coastline and the end of the foreshore at the seaward edge of the platform, shows best results. This slope was thus used to calculate the wave runup on the shore platform. A static flood map, adding wave runup to observed peak tidal level including the storm surge during the December 6, 2010, flood, has been realized on a LiDAR base layer for a specific site in Sainte-Luce. A second flood map has been applied to validate the approach on an external site in Sainte-Flavie, outside the study area. In both cases, predicted flood extents highly correspond to observed flooded area. High underpredictions occur when using the observed storm tide level only (a 182-year event) without runup, where only 5 and 4 % of the studied area are considered as flooded, respectively. It appears that in a shore platform environment, a wider foreshore reduces wave runup and flood levels.

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A simple model to estimate the impact of sea-level rise on platform beaches

Cited by 22 publications

References 25 publications

Detecting Changes in European Shoreline Evolution Trends Using Markov Chains and the Eurosion Database

Detecting Changes in European Shoreline Evolution Trends Using Markov Chains and the Eurosion Database

Hard-Rock Coastal Modelling: Past Practice and Future Prospects in a Changing World

Wave runup estimations on platform-beaches for coastal flood hazard assessment

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