IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v4y2013i1d10.1038_ncomms3013.html
   My bibliography  Save this article

Lagrangian scale of particle dispersion in turbulence

Author

Listed:
  • Hua Xia

    (Research School of Physics and Engineering, The Australian National University)

  • Nicolas Francois

    (Research School of Physics and Engineering, The Australian National University)

  • Horst Punzmann

    (Research School of Physics and Engineering, The Australian National University)

  • Michael Shats

    (Research School of Physics and Engineering, The Australian National University)

Abstract

Transport of mass, heat and momentum in turbulent flows by far exceeds that in stable laminar fluid motions. As turbulence is a state of a flow dominated by a hierarchy of scales, it is not clear which of these scales mostly affects particle dispersion. Also, it is not uncommon that turbulence coexists with coherent vortices. Here we report on Lagrangian statistics in laboratory two-dimensional turbulence. Our results provide direct experimental evidence that fluid particle dispersion is determined by a single measurable Lagrangian scale related to the forcing scale. These experiments offer a new way of predicting dispersion in turbulent flows in which one of the low energy scales possesses temporal coherency. The results are applicable to oceanographic and atmospheric data, such as those obtained from trajectories of free-drifting instruments in the ocean.

Suggested Citation

  • Hua Xia & Nicolas Francois & Horst Punzmann & Michael Shats, 2013. "Lagrangian scale of particle dispersion in turbulence," Nature Communications, Nature, vol. 4(1), pages 1-8, October.
  • Handle: RePEc:nat:natcom:v:4:y:2013:i:1:d:10.1038_ncomms3013
    DOI: 10.1038/ncomms3013
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/ncomms3013
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/ncomms3013?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zexi Shen & Qiang Zhang & Vijay P. Singh & Yadu Pokhrel & Jianping Li & Chong-Yu Xu & Wenhuan Wu, 2022. "Drying in the low-latitude Atlantic Ocean contributed to terrestrial water storage depletion across Eurasia," Nature Communications, Nature, vol. 13(1), pages 1-10, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:4:y:2013:i:1:d:10.1038_ncomms3013. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.