||Modeling ambient carbon monoxide trends to evaluate mobile source emissions reductions /
Dennis, Robin L. ;
Downton, M. W.
||Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Sciences Research Lab. ;National Center for Atmospheric Research, Boulder, CO.
|| U.S. Environmental Protection Agency, Atmospheric Sciences Research Laboratory,
Carbon monoxide ;
Regression analysis ;
Mathematical models ;
Air pollution control ;
Exhaust emissions ;
Motor vehicles ;
Atmospheric diffusion ;
||Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy.
||19 pages ; 28 cm
Regression models have been used with poor success to detect the effect of emission control programs in ambient concentration measurements of carbon monoxide. An advance CO regression model is developed based on an understanding of the physical processes of dispersion. Its performance is shown to be superior to the more traditionally developed regression and time series models. The model reliably separates the effects of emissions change from the effects of fluctuations in meteorological conditions. The model has sufficient precision to identify present trends in emissions from ambient concentration data. The model should be useful for detecting changes in emission trends due to implementation of a control program on vehicular emissions such as an inspection and maintenance program. (Copyright (c) 1987, American Meteorological Society.)
"Journal article." "EPA/600/J-87/477." "Published in Journal of Climate & Applied Meteorology, vol. 26, no. 10, October 1987, pp. 1376-1391." Microfiche.