||Estimating Downwind Concentrations of Viable Airborne Microorganisms in Dynamic Atmospheric Conditions (Journal Version).
Lighthart, B. ;
Mohr, A. J. ;
||Corvallis Environmental Research Lab., OR. ;Department of the Army, Washington, DC.
Air pollution control ;
Mathematical models ;
Aerodynamic loads ;
Meteorological data ;
Computerized simulation ;
Atmospheric dispersion ;
Path of pollutants
||Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy.
||A Gaussian plume model has been modified to include an airborne microbial survival term that is a best-fit function of laboratory experimental data of weather variables. The model has been included in an algorithm using microbial source strength and local hourly mean weather data to drive the model through a summer- and winter-day cycle. For illustrative purposes, a composite airborne virus (developed using actual characteristics from two viruses) was used to show how wind speed could have a major modulating effect on near-source viable concentrations.
||Pub. in Applied and Environmental Microbiology, v53 n7 p1580-1583 1987. Prepared in cooperation with Department of the Army, Washington, DC.
|NTIS Title Notes
||Reprint: Estimating Downwind Concentrations of Viable Airborne Microorganisms in Dynamic Atmospheric Conditions (Journal Version).
||68A; 55B; 57K
||PC A02/MF A01