IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-07171-3_6.html
   My bibliography  Save this book chapter

Stochastic Effects of the Meander on the Dispersion of Pollutants in the Planetary Boundary Layer Under Low Wind Conditions

In: Integral Methods in Science and Engineering

Author

Listed:
  • C. Fávero

    (Federal University of Pelotas)

  • G. A. Gonçalves

    (Federal University of Pelotas)

  • D. Buske

    (Federal University of Pelotas)

  • R. S. Quadros

    (Federal University of Pelotas)

Abstract

In the present contribution, we discuss a pollution dispersion model in three dimensions which takes into account effects due to meandering. To this end, scenarios with wind speeds below 2 m/s are considered, and in the lateral dispersion of the plume the effect of meandering is included by means of a stochastic process. The proposed model contemplates turbulent diffusive parameters for the three spatial dimensions, and the effect of meandering in the wind field is taken care of upon inserting fluctuations in the longitudinal and transverse wind speeds, respectively. The model was validated against the data from the INEL experiment for which wind speeds were below 1 m/s. Moreover, the specification for meandering was also extracted from these datasets. Simulated values for the concentrations were in fairly good agreement with the observed data from experiment, which in turn qualifies the present model as a tool for applications by regulatory authorities.

Suggested Citation

  • C. Fávero & G. A. Gonçalves & D. Buske & R. S. Quadros, 2022. "Stochastic Effects of the Meander on the Dispersion of Pollutants in the Planetary Boundary Layer Under Low Wind Conditions," Springer Books, in: Christian Constanda & Bardo E.J. Bodmann & Paul J. Harris (ed.), Integral Methods in Science and Engineering, chapter 0, pages 85-94, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-07171-3_6
    DOI: 10.1007/978-3-031-07171-3_6
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:sprchp:978-3-031-07171-3_6. 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.springer.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.