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Related Experiment Videos

Maximum ground-level concentrations with downwash--analysis.

W A Bowman1

  • 1Day & Zimmerman, Inc., Amarillo, Texas, USA. wbowman@pantex.com

Journal of the Air & Waste Management Association (1995)
|March 29, 2000
PubMed
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This study solves equations for maximum ground-level concentrations under downwash conditions, providing critical data for plume rise and dispersion modeling. Results aid in understanding pollutant dispersion from industrial sources.

Area of Science:

  • Environmental Engineering
  • Atmospheric Science
  • Air Pollution Modeling

Background:

  • Understanding pollutant dispersion from sources near buildings is crucial for air quality management.
  • Previous research established equations for critical parameters influencing maximum ground-level concentrations (MGLC) under downwash conditions.

Purpose of the Study:

  • To solve previously derived equations for critical downwind distance (xc), wind speed (uc), and plume rise (zc) that yield MGLC (chi c).
  • To present comprehensive data and graphical relationships for these parameters across various stack and building heights.
  • To compare findings with the U.S. Environmental Protection Agency's (EPA) SCREEN3 model.

Main Methods:

  • Numerical solution of established aerodynamic downwash equations.

Related Experiment Videos

  • Tabulation of MGLC (chi c), critical downwind distance (xc), critical wind speed (uc), and critical plume rise (zc).
  • Graphical representation of relationships between wind speed (uc) and plume rise (zc) for different stack (hs) and building (hb) heights.

    • Main Results:

    • Solved equations provide specific values for xc, uc, and zc that result in maximum ground-level pollutant concentrations under downwash scenarios.
    • Presented tables and graphs offer practical data for dispersion analysis for turbines and reciprocating engines.
    • Comparisons indicate potential differences and similarities with the EPA's SCREEN3 model outputs.

    Conclusions:

    • The solved equations and presented data offer valuable insights into aerodynamic downwash effects on pollutant dispersion.
    • The findings can inform regulatory dispersion modeling and environmental impact assessments.
    • Further comparison with established models like SCREEN3 is warranted for broader applicability.