Opendrift 平台中的垂直混合策略:分析解决方案和随机漫步方案

Nikolas Gomes Silveira de Souza, Jader Lugon Jr, A. S. Silva Neto
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引用次数: 0

摘要

海洋中微塑料位移的预测仍是一项具有挑战性的任务,粒子轨迹的演变基于每个时间步的随机策略。Opendrift 平台利用两种湍流垂直混合策略提出了微塑料轨迹演变解决方案。这项研究模拟了里约热内卢地区(瓜纳巴拉湾)的微塑料颗粒排放情况,并对其一年的深度进行了观测。考虑到微妙的差异,研究人员提出了一种统计分析方法,以观察微粒如何受到两种策略的单独影响。初步观察结果表明,表面没有明显变化,但深度有重要的运动变化。通过统计分析,观察到每个微粒在 XY 坐标上的分散情况。结果表明,微塑料颗粒的个体运动非常明显。这项研究表明,有必要制定一项协议,以决定在计算模拟中使用哪种策略,从而使监测任务达到最佳效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vertical mixing strategies in the Opendrift platform: analytical solution and Random Walk scheme
Predicted scenarios for microplastic displacement in the ocean is still a challenging task, where particle trajectory evolution is based on stochastic strategies at each timestep. The Opendrift platform presents a microplastic trajectory evolution solution using two strategies for turbulent vertical mixing. This work simulated microplastic particles emission in the Rio de Janeiro region (Guanabara Bay) and observed its depth over one year. Attentive to subtle differences, a statistical analysis was proposed to observe how particles are affected by the strategies individually. The preliminary observations showed no significant modification on the surface, but the depth had important motion modification. A dispersion was observed in XY coordinates of each particle using statistical analysis. The results demonstrated significant individual movement of microplastic particles. This study encourages the need for a protocol to decide which strategy to be used in computational simulations so that monitoring tasks can have optimum efficiency.
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