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Collaborative Research: Towards a More Comprehensive Understanding of Eulerian and Lagrangian Transport of Active and Passive Tracers in the Ocean

Collaborative Research: Towards a More Comprehensive Understanding of Eulerian and Lagrangian Transport of Active and Passive Tracers in the Ocean
合作研究:更全面地了解海洋中主动和被动示踪剂的欧拉和拉格朗日传输
批准号:
2124210
负责人:
Irina Rypina
金额:
$80.7万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-10-01 至 2024-09-30

项目摘要

项目成果

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中文摘要
翻译
生物地球化学示踪剂在海洋中的迁移是一个复杂和多方面的问题,涉及许多学科,从物理海洋学到海洋生态学、渔业管理、搜索和救援行动、减轻自然和人为灾害以及风险评估。这项工作的主要动机是海洋微塑料污染的问题,但其他相关的海洋示踪剂可以包括营养物质,浮游生物,放射性和化学示踪剂,鱼苗,马尾藻,石油等。理论处理和预测的概率示踪剂到达目标和PDF的状态的数值程序将开发,弥合拉格朗日,欧拉和随机描述的问题之间的差距。当应用于海洋微塑料污染时,理论框架将包括浮力、刚体特性、颗粒惯性和颗粒参数不确定性的影响的适当表示。然后,将在简单的涡流分析模型中使用理想化示踪剂,以及在高分辨率海洋环流模型中使用真实的微塑料状示踪剂,对所开发的方法进行测试,该项目将建立概率欧拉和拉格朗日示踪剂演变描述之间的联系,调和它们之间的差异,并研究每种方法的优缺点。拉格朗日方法和广义拉格朗日相干结构(LCS)技术将与示踪剂分布的概率密度函数(PDF)的福克-普朗克方程联系起来,弥合拉格朗日、欧拉和随机描述问题之间的差距。该项目将探索拉格朗日相干结构(LCS)和广义LCS之间的联系,以及概率密度函数的传输势垒。要考虑的因素包括状态的变化、压缩性、Maxey-Riley动力学和由团速度、扩散和斯托克漂移引起的涡流通量。该奖项旨在为流体中微小固体颗粒(如海洋微塑料)的传输开发拉格朗日-概率-欧拉双重理论方法。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Transport of biogeochemical tracers in the ocean is a complex and multifaceted problem that reaches across many disciplines, from physical oceanography, to marine ecology, fishery management, search and rescue operations, natural and anthropogenic hazard mitigation and risk assessment. This work is broadly motivated by the problem of marine microplastic pollution, but other relevant oceanic tracers can include nutrients, plankton, radioactive and chemical tracers, fish larvae, Sargassum, oil, etc. This project will advance both theoretical and practical aspects of understanding and predicting the evolution of tracers in realistic oceanic flows. Theoretical treatments and numerical procedures for predicting the probability of a tracer reaching a target and the PDF of its state will be developed, bridging the gap between the Lagrangian, Eulerian, and stochastic descriptions of the problem. When applied to marine microplastics pollution, the theoretical framework will include proper representations of the effects of buoyancy, rigid-body properties, inertia of particles, and uncertainties in particle parameters. The developed methodology will then be tested using idealized tracers in a simple analytical model of an eddy, as well as realistic microplastic-like tracers in a high-resolution ocean circulation model.This project will establish links between the probabilistic Eulerian and Lagrangian descriptions of tracer evolution, reconcile differences between them, and investigate the advantages and disadvantages of each approach. Lagrangian methods and Generalized Lagrangian Coherent Structures (LCS) techniques will be linked to the Fokker-Planck equation for the probability density function (PDF) of the tracer distribution, bridging the gap between the Lagrangian, Eulerian, and stochastic descriptions of the problem. The project will explore the connections between Lagrangian Coherent Structures (LCS) and Generalized LCS, and the transport barriers for the probability density functions. Factors to be accounted for include changes in state, compressibility, Maxey-Riley dynamics, and eddy fluxes resulting from bolus velocities, diffusion, and Stoke’s drift. The goal is to develop a dual Lagrangian – probabilistic-Eulerian theoretical methodology for transport of small solid-body particles, such as marine microplastics, in fluids.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(0)
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会议论文
Physical and Biological Exchange Processes and Lagrangian Pathways of Eel Larvae Between Deep Ocean and Shelf Regions of the Northwestern Atlantic
Transport Pathways in the North Atlantic: Searching for Throughput
Fundamentals of the Oceanic Eddy Backscatter
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)