This paper describes the development and evaluation of a computational
ly efficient semiempirical photochemical model that can be used as a s
creening tool to obtain quick estimates of the effect of a large numbe
r of VOC and NOx emission control strategies on ozone concentrations.
Selected control strategies can subsequently be examined with a more c
omplex model. The model is one component of an ozone management system
, the regional ozone decision model (RODM), designed to examine the co
sts and environmental consequences of alternate ozone abatement strate
gies. The model was developed by systematic simplification of a detail
ed photochemical model, At each step of the simplification, the simpli
fied model was tested against observations and against results from th
e detailed model. The first major simplification was the introduction
of a highly parameterized chemistry mechanism, originally developed by
Azzi et al. (1992 Proc. 11th Int. Clean Air Conf., 4th Regional IUAPP
A Conf:). This modification resulted in a factor of 5 improvement in t
he computational efficiency of the model. The model with the simplifie
d chemistry was then tested by applying it to a photochemical oxidant
episode in the San Joaquin Valley of California. Further improvements
in computational speed and efficiency were obtained by uncoupling the
chemistry from the transport of VOC and NOx.