Effective evaluation of air pollution control strategies requires
the use of validated and reliable mathemtical models that can relate
pollutant emissions to atmospheric air quality. The primary objective
of this research program has been to develop a fundamental capability
to assess the effectiveness of air pollution control measures in
reducing photochemical air pollution. An important aspect of the
development has been to simplify the preparation of input data and
operational use of the resulting model. The system has been designed
to be used by air pollution agencies with relatively little experience
in atmospheric physics and chemistry. The assumptions commonly
employed in model formulations have been evaluated to ensure a valid
representation of the physical and chemical processes in the atmosphere.
In the most recent phase of this research the comprehensive photochemical
airshed model has been evaluated against data available in
the South Coast Air Basin of Southern California. This task was
undertaken in collaboration with the California Air Resources Board,
Air Quality Modeling Section. A statistical analysis package has been
used to evaluate the correspondence of predicted and observed concentrations
for the days on which the model was evaluated. An assessment
of the EPA ozone isopleth modeling technique has been initiated
