LOCATE v1.0: numerical modelling of floating marine debris dispersion in coastal regions using Parcels v2.4.2

IF 4 3区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Geoscientific Model Development Pub Date : 2024-03-19 DOI:10.5194/gmd-17-2221-2024
Ivan Hernandez, Leidy M. Castro-Rosero, Manuel Espino, Jose M. Alsina Torrent
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Abstract

Abstract. The transport mechanisms of floating marine debris in coastal zones remain poorly understood due to complex geometries and the influence of coastal processes, posing difficulties in incorporating them into Lagrangian numerical models. The numerical model LOCATE overcomes these challenges by coupling Eulerian hydrodynamic data at varying resolutions within nested grids using Parcels, a Lagrangian particle solver, to accurately simulate the motion of plastic particles where a high spatial coverage and resolution are required to resolve coastal processes. Nested grids performed better than a coarse-resolution grid when analysing the model's dispersion skill by comparing drifter data and simulated trajectories. A sensitivity analysis of different beaching conditions comparing spatiotemporal beaching patterns demonstrated notable differences in the land–water boundary detection between nested hydrodynamic grids and high-resolution shoreline data. The latter formed the basis for a beaching module that parameterised beaching by calculating the particle distance to the shore during the simulation. A realistic debris discharge scenario comparison around the Barcelona coastline using the distance-based beaching module in conjunction with nested grids or a coarse-resolution grid revealed very high levels of particle beaching (>91.5%) in each case, demonstrating the importance of appropriately parameterising beaching at coastal scales. In this scenario, high variability in particle residence times and beaching patterns was observed between simulations. These differences derived from how each option resolved the shoreline, with particle residence times being much higher in areas of intricate shoreline configurations when using nested grids, thus resolving complex structures that were undetectable using the coarse-resolution grid. LOCATE can effectively integrate high-resolution hydrodynamic data within nested grids to model the dispersion and deposition patterns of particles at coastal scales using high-resolution shoreline data for shoreline detection uniformity.
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LOCATE v1.0:利用 Parcels v2.4.2 对沿海地区漂浮海洋废弃物的扩散进行数值模拟
摘要由于复杂的几何形状和沿岸过程的影响,人们对沿海地区漂浮海洋废弃物的迁移机理仍然知之甚少,这给将其纳入拉格朗日数值模式带来了困难。LOCATE 数值模式克服了这些困难,它利用拉格朗日粒子求解器 Parcels,在嵌套网格内将不同分辨率的 Eulerian 流体动力数据耦合起来,精确地模拟了需要高空间覆盖率和高分辨率来解析沿岸过程的塑料粒子的运动。通过比较漂流物数据和模拟轨迹,分析模式的扩散能力时,嵌套网格比粗分 辨率网格更好。对不同滩涂条件下的时空滩涂模式进行的敏感性分析表明,嵌套水动力网格与高分辨率 海岸线数据在水陆边界探测方面存在明显差异。后者构成了滩涂模块的基础,该模块在模拟过程中通过计算颗粒到海岸的距离对滩涂进行参数化。在巴塞罗那海岸线附近进行的实际碎屑排放情景比较中,使用基于距离的冲滩模 块,并结合嵌套网格或粗分辨率网格,发现每种情况下的颗粒冲滩率都很高(大于 91.5%),这表明在沿岸尺度上对冲滩进行适当参数化的重要性。在这种情况下,模拟结果之间在粒子停留时间和滩涂模式方面存在很大差异。在使用嵌套网格时,在海岸线结构复杂的区域,粒子停留时间要长得多,从而解决了粗分 辨率网格无法探测到的复杂结构问题。LOCATE 可以有效地将高分辨率的流体动力数据集成到嵌套网格中,利用高分辨率的 海岸线数据来模拟沿岸尺度的颗粒扩散和沉积模式,从而实现海岸线探测的一致性。
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来源期刊
Geoscientific Model Development
Geoscientific Model Development GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
8.60
自引率
9.80%
发文量
352
审稿时长
6-12 weeks
期刊介绍: Geoscientific Model Development (GMD) is an international scientific journal dedicated to the publication and public discussion of the description, development, and evaluation of numerical models of the Earth system and its components. The following manuscript types can be considered for peer-reviewed publication: * geoscientific model descriptions, from statistical models to box models to GCMs; * development and technical papers, describing developments such as new parameterizations or technical aspects of running models such as the reproducibility of results; * new methods for assessment of models, including work on developing new metrics for assessing model performance and novel ways of comparing model results with observational data; * papers describing new standard experiments for assessing model performance or novel ways of comparing model results with observational data; * model experiment descriptions, including experimental details and project protocols; * full evaluations of previously published models.
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