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Dispersion of tracer particles by wave turbulence.

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Title: Dispersion of tracer particles by wave turbulence.
Authors: Kirezci, Cagil1,2 (AUTHOR), Skvortsov, Alexei T.1,3 (AUTHOR) alexei.skvortsov@defence.gov.au, Sgarioto, Daniel3 (AUTHOR), Babanin, Alexander V.1 (AUTHOR)
Source: Physica D. Jun2023, Vol. 448, pN.PAG-N.PAG. 1p.
Subjects: Turbulence, Probability density function, Gravity waves, Water waves, Nonlinear waves
Abstract: We have investigated the dispersion of tracer particles by numerically simulating ensemble nonlinear gravity waves on the surface of an infinitely deep fluid. Using the concepts of passive Lagrangian markers and insights from weak wave turbulence theory, we validated fundamental predictions for particle kinematics associated with scaling laws and probability density functions. These results improve the understanding of wave-driven transport phenomena that depart far from equilibrium and the development of the high-fidelity models of transport processes in geophysical systems. • Dispersion of particles by nonlinear water waves has been investigated numerically. • Predictions of the Weak Wave Turbulence Theory have been confirmed. • The self-similarity form for Probability Density Function has been validated. [ABSTRACT FROM AUTHOR]
Copyright of Physica D is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 163226203
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: We have investigated the dispersion of tracer particles by numerically simulating ensemble nonlinear gravity waves on the surface of an infinitely deep fluid. Using the concepts of passive Lagrangian markers and insights from weak wave turbulence theory, we validated fundamental predictions for particle kinematics associated with scaling laws and probability density functions. These results improve the understanding of wave-driven transport phenomena that depart far from equilibrium and the development of the high-fidelity models of transport processes in geophysical systems. • Dispersion of particles by nonlinear water waves has been investigated numerically. • Predictions of the Weak Wave Turbulence Theory have been confirmed. • The self-similarity form for Probability Density Function has been validated. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Physica D is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1016/j.physd.2023.133725
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      – Code: eng
        Text: English
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        PageCount: 1
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        Type: general
      – SubjectFull: Probability density function
        Type: general
      – SubjectFull: Gravity waves
        Type: general
      – SubjectFull: Water waves
        Type: general
      – SubjectFull: Nonlinear waves
        Type: general
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      – TitleFull: Dispersion of tracer particles by wave turbulence.
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            – D: 01
              M: 06
              Text: Jun2023
              Type: published
              Y: 2023
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