Data and scripts underlying the publication: Lagrangian modelling reveals sediment pathways at evolving coasts

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.

本数据集配套于学术论文《拉格朗日建模揭示演化海岸的泥沙输运路径》（van Westen 等，2025，《科学报告》），包含荷兰沙引擎（Sand Engine）大型海岸养护工程五年周期内，用于追踪单个泥沙颗粒输运路径的输入数据、计算结果与分析脚本。本研究旨在阐明海岸扰动如何影响泥沙运动模式，突破了仅能揭示净地貌变化的传统欧拉（Eulerian）方法局限。团队开发了基于SedTRAILS的新型后处理方法，将经过验证的Delft3D-FM与AeoLiS耦合模型的输出结果转换为拉格朗日输运路径。该方法揭示了此前未被观测到的泥沙输运模式，包括扰动早期受埋藏限制的颗粒扩散过程，以及随着海岸扩散逐渐转向输运限制条件的演化特征。本数据集涵盖用于拉格朗日分析的预处理欧拉模型输出数据、四万余个追踪颗粒的路径数据、用于提取输运机制核心结论的分析脚本，以及用于展示直接与间接泥沙堆积效应的可视化成果。