H. Ozkaynak et al., INTERCOMMUNITY DIFFERENCES IN ACID AEROSOL (H+) SULFATE (SO42-) RATIOS/, Journal of exposure analysis and environmental epidemiology, 6(1), 1996, pp. 35-55
Exposures to acid aerosols have been associated with acute and chronic
health effects. Beginning in 1988, extensive monitoring of acid aeros
ols (H+), sulfates SO42-), and ammonia (NH3) was conducted in 24 commu
nities in the United States and Canada in order to characterize the se
asonal and daily variations of these pollutants. More recently, in 199
2 and 1993, summer monitoring of the same pollutants was conducted by
Harvard researchers at multiple locations in Philadelphia, Pennsylvani
a to examine the factors causing spatial variation in the acidity leve
ls in the greater metropolitan Philadelphia area. Earlier, a similar s
tudy also was conducted by Harvard in a more rural community, State Co
llege, Ohio, providing data on acidity, sulfate, and ammonia levels. I
n addition to these studies, New York University researchers have gath
ered substantial data on aerosol acidity, sulfates, and NH3 levels fro
m sites in the New York City metropolitan region, Albany, Buffalo, and
the Toronto metropolitan region between 1988 and 1992. This paper exa
mines the relationships among H+, SO42-, ozone, and population density
using summer measurements from sites in 24 cities across the United S
tates and Canada, as well as Philadelphia, State College, the New York
City region, Buffalo, and Albany. While past studies have consistentl
y shown that H+ and SO42- are 4 correlated over time at sites in easte
rn North America, the results of our analysis show that spatial variat
ions in the ratios of mean acid-to-sulfate levels also can be predicte
d satisfactorily with the use of either a linear or a quadratic model,
once variations in population density are addressed (R(2) = 0.6). The
se models may be useful in retrospective epidemiological investigation
s of acid aerosol exposures and health effects, using widely available
sulfate measurements and data on local population size.