NON-STATIONARY PARAMETERS ON EQUILIBRIUM-BASED SHORELINE EVOLUTION MODELS

Equilibrium-Based Shoreline Evolution Models (EBSEM) are computationally efficient tools for simulating beach response to environmental conditions, such as hydrodynamic forcings. Thus, they are valuable to understand the footprint of longshore and cross-shore sediment transport processes on shoreline rotation and breathing at several temporal scales. Despite its simplicity, EBSEM are parametric models that rely on calibration. Existing EBSEM applications in literature have traditionally used constant in time and space calibration parameters to forcing conditions, which restricts their ability to capture shoreline change signals to changing morphodynamic behavior. Therefore, calibrating these models with non- stationary parameters might be crucial to enhance predictability of multi-timescale shoreline variations (Antolínez et al. 2019).

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Publication Details

Journal
Coastal Engineering Proceedings
Published
2025-05-29
DOI
https://doi.org/10.9753/icce.v38.management.138
Primary Topic
Coastal and Marine Dynamics
Type
article
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article

NON-STATIONARY PARAMETERS ON EQUILIBRIUM-BASED SHORELINE EVOLUTION MODELS

Lucas de Freitas Pereira, Mauricio González, Raúl Medina, José A. Á. Antolínez et al.
Coastal Engineering Proceedings
Coastal and Marine Dynamics
article

NON-STATIONARY PARAMETERS ON EQUILIBRIUM-BASED SHORELINE EVOLUTION MODELS

Lucas de Freitas Pereira, Mauricio González, Raúl Medina, José A. Á. Antolínez, Camilo Jaramillo
article en

Abstract

Equilibrium-Based Shoreline Evolution Models (EBSEM) are computationally efficient tools for simulating beach response to environmental conditions, such as hydrodynamic forcings. Thus, they are valuable to understand the footprint of longshore and cross-shore sediment transport processes on shoreline rotation and breathing at several temporal scales. Despite its simplicity, EBSEM are parametric models that rely on calibration. Existing EBSEM applications in literature have traditionally used constant in time and space calibration parameters to forcing conditions, which restricts their ability to capture shoreline change signals to changing morphodynamic behavior. Therefore, calibrating these models with non- stationary parameters might be crucial to enhance predictability of multi-timescale shoreline variations (Antolínez et al. 2019).

Coastal Engineering Proceedings(38)
Openalex Percentile: Top 44%
Coastal and Marine Dynamics
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