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Stable plume rise in a shear layer.

Thomas J Overcamp1

  • 1Department of Environmental Engineering and Science, Clemson University, Anderson, SC. tjvrc@clemson.edu

Journal of the Air & Waste Management Association (1995)
|March 28, 2007
PubMed
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This study presents plume rise solutions for stable atmospheres with wind shear, finding that shear can increase plume height compared to average wind speeds. These findings are crucial for atmospheric dispersion modeling.

Area of Science:

  • Atmospheric Science
  • Environmental Engineering
  • Fluid Dynamics

Background:

  • Accurate atmospheric dispersion modeling is vital for environmental impact assessments.
  • Understanding plume rise dynamics in stably stratified atmospheres is complex.
  • Existing models often simplify wind profiles, potentially limiting accuracy.

Purpose of the Study:

  • To develop and present solutions for plume rise in stably stratified atmospheres.
  • To investigate the impact of a power-law wind speed profile (wind shear) on plume rise.
  • To compare plume rise predictions with and without wind shear effects.

Main Methods:

  • Developed analytical solutions for plume rise from point and finite sources.
  • Incorporated initial vertical momentum and buoyancy.

Related Experiment Videos

  • Assumed a power-law wind speed profile in a stably stratified layer.
  • Compared results against constant wind speed scenarios and equivalent average wind speeds.

    • Main Results:

    • Solutions simplify to conventional equations for constant wind speed.
    • Wind shear causes maximum plume rise to occur further downwind and slightly lower than for a constant wind speed (at stack top).
    • Plume rise with shear is higher than with an equivalent average wind speed over the plume depth.

    Conclusions:

    • The study provides refined plume rise solutions considering wind shear.
    • Wind shear has a significant, non-trivial effect on plume trajectory and maximum rise.
    • These findings enhance the accuracy of atmospheric dispersion models in stratified environments.