The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/8ec8a1c9-a0f1-4c2c-b3f5-69bea63c14b4

van Westen, Bart; de Schipper, M.A. (Matthieu); Stuart Pearson; Luijendijk, Arjen (2025): Data and scripts underlying the publication: Lagrangian modelling reveals sediment pathways at evolving coasts. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/8ec8a1c9-a0f1-4c2c-b3f5-69bea63c14b4.v1

Categories

• Civil Engineering
• Environmental Engineering
• Engineering

Keywords

AeoLiS Coast Delft3D Lagrangian Morphodynamics Sand Engine Sand Motor Sediment Pathways SedTRAILS Zandmotor

Geolocation

view on openstreetmap

Time coverage

2011-2016

Licence

CC BY 4.0

Collection

• Data and scripts underlaying the PhD Dissertation of Bart van Westen

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by Bart van Westen , M.A. (Matthieu) de Schipper , Stuart Pearson , Arjen Luijendijk

This dataset accompanies the publication "Lagrangian modelling reveals sediment pathways at evolving coasts" (van Westen et al., 2025, Scientific Reports) and contains the input data, results, and analysis scripts for tracking individual sediment particle pathways at the Sand Engine mega-nourishment in the Netherlands over a five-year period. The research objective was to understand how coastal perturbations influence sediment movement patterns, going beyond traditional Eulerian approaches that only reveal net morphological change. We developed a novel post-processing methodology using SedTRAILS, which transforms outputs from validated coupled Delft3D-FM and AeoLiS models into Lagrangian pathways. This approach reveals previously hidden sediment transport patterns, including burial-limited particle dispersal during early perturbation stages and the transition to transport-limited conditions as the coastline diffuses. The dataset includes pre-processed Eulerian model outputs that serve as input for the Lagrangian analysis, particle pathway data for over 40,000 tracked particles, analysis scripts that extract key insights about transport mechanisms, and the resulting visualizations that demonstrate both direct and indirect sediment accumulation effects.

History

• 2025-04-09 first online, published, posted

Publisher

4TU.ResearchData

Format

*.jpg / *.py / *.npy / *.csv / *.mat /*.png

Associated peer-reviewed publication

Lagrangian modelling reveals sediment pathways at evolving coasts

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Hydraulic Engineering, Coastal Engineering

Deltares, Delft, the Netherlands