Combined longshore and cross-shore shoreline model for closed embayed beaches

Tran, Yen Hai; Barthélemy, Éric

doi:10.1016/j.coastaleng.2020.103692

Cited by 19 publications

(13 citation statements)

References 48 publications

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“…We addressed the coupling of SLR-driven erosion with ESMs, for cross-shore-transportdominated coasts. However, our analysis also holds for the new generation of hybrid models that couple ESM with other transport processes (e.g., longshore transport), local geology and/or the backing coastal dunes (e.g., [17,36,38,66]), and to ESMs that continuously adapt the shoreline response to the non-stationary wave climate through time-varying model parameters [52]. In such models, not only SLR but also other processes can affect shoreline position and, in turn, the equilibrium profile conditions.…”

Section: Discussionmentioning

confidence: 90%

Reinterpreting the Bruun Rule in the Context of Equilibrium Shoreline Models

D'Anna

Idier

Castelle

et al. 2021

JMSE

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Long-term (>decades) coastal recession due to sea-level rise (SLR) has been estimated using the Bruun Rule for nearly six decades. Equilibrium-based shoreline models have been shown to skillfully predict short-term wave-driven shoreline change on time scales of hours to decades. Both the Bruun Rule and equilibrium shoreline models rely on the equilibrium beach theory, which states that the beach profile shape equilibrates with its local wave and sea-level conditions. Integrating these two models into a unified framework can improve our understanding and predictive skill of future shoreline behavior. However, given that both models account for wave action, but over different time scales, a critical re-examination of the SLR-driven recession process is needed. We present a novel physical interpretation of the beach response to sea-level rise, identifying two main contributing processes: passive flooding and increased wave-driven erosion efficiency. Using this new concept, we analyze the integration of SLR-driven recession into equilibrium shoreline models and, with an idealized test case, show that the physical mechanisms underpinning the Bruun Rule are explicitly described within our integrated model. Finally, we discuss the possible advantages of integrating SLR-driven recession models within equilibrium-based models with dynamic feedbacks and the broader implications for coupling with hybrid shoreline models.

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Section: Discussionmentioning

confidence: 90%

Reinterpreting the Bruun Rule in the Context of Equilibrium Shoreline Models

D'Anna

Idier

Castelle

et al. 2021

JMSE

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“…Empirical data-driven models are increasingly being used for modeling shoreline changes on time scales from days to decades [1][2][3][4][5][6][7][8][9]. They are based on a set of parameters representing the contribution of complex physical processes that are evaluated on a calibration period using observed shoreline data.…”

Section: Introductionmentioning

confidence: 99%

“…Other combinations such as that of [7] who combine the ShoreFor cross-shore model in [5] and a hybrid one-line approach derived in [22]. Along this line [1] suggested coupling the ShoreFor model with a simpler longshore model based on a sediment budget and the empirical CERC formula [21]. In the latter, it is assumed that an equilibrium exists in the form of an average shoreline position.…”

Section: Introductionmentioning

confidence: 99%

“…In the present study, we will pay particular attention to the suitability of a longshore model for embayed beaches and the ability of a single equilibrum cross-shore model to represent accretion during summer low wave energy conditions. Nha Trang, Vietnam, is an embayed beach with a curved shoreline [27], and thus provides a good test case for the combined model of [1] that accounts for both cross-shore and longshore contributions. Nha Trang's climate is characterized by strong seasonal forcing, i.e., summer monsoons with low-energy waves and winter monsoons with high-energy waves, including intra-seasonal winter pulses [28,29].…”

Section: Introductionmentioning

confidence: 99%

“…In Section 2, the combined model of the work in [1] is briefly recalled. Section 3 describes the characteristics of Nha Trang beach.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Combined Longshore and Cross-Shore Modeling for Low-Energy Embayed Sandy Beaches

Tran

Marchesiello

Almar

et al. 2021

JMSE

Self Cite

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The present study focuses on the long-term multi-year evolution of the shoreline position of the Nha Trang sandy beach. To this end an empirical model which is a combination of longshore and cross-shore models, is used. The Nha Trang beach morphology is driven by a tropical wave climate dominated by seasonal variations and winter monsoon intra-seasonal pulses. The combined model accounts for seasonal shoreline evolution, which is primarily attributed to cross-shore dynamics but fails to represent accretion that occurs during the height of summer under low energy conditions. The reason is in the single equilibrium Dean number Ωeq of the ShoreFor model, one of the components of the combined model. This equilibrium Dean number cannot simultaneously account for the evolution of strong intra-seasonal events (i.e., winter monsoon pulses) and the annual recovery mechanisms associated with swash transport. By assigning a constant value to Ωeq, when the surf similarity parameter is higher than 3.3 (occurrence of small surging breakers in summer), we strongly improve the shoreline position prediction. This clearly points to the relevance of a multi-scale approach, although our modified Ωeq retains the advantage of simplicity.

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Sedimentary evolution of the embayed beach from Qinghai Lake, northern Qinghai-Tibetan Plateau, China

Hao

Tao

et al. 2023

J Paleolimnol

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Combined longshore and cross-shore shoreline model for closed embayed beaches

Cited by 19 publications

References 48 publications

Reinterpreting the Bruun Rule in the Context of Equilibrium Shoreline Models

Reinterpreting the Bruun Rule in the Context of Equilibrium Shoreline Models

Combined Longshore and Cross-Shore Modeling for Low-Energy Embayed Sandy Beaches

Sedimentary evolution of the embayed beach from Qinghai Lake, northern Qinghai-Tibetan Plateau, China

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