A goal of the acidic deposition control program in the United States has be
en to link emissions control policies, such as those mandated under Title I
V of the US Clean Air Act Amendments (CAAA) of 1990, to improvements in air
and water quality. Recently, several researchers have reported trends in t
he time series of pollutant data in an effort to evaluate the effectiveness
of the CAAA in reducing the acidic deposition problem. It is well known th
at pollutant concentrations are highly influenced by meteorological and cli
matic variations. Also, spatial and temporal inhomogeneities in time series
of pollutant concentrations, induced by differences in the data collection
, reduction, and reporting practices, can significantly affect the trend es
timates. We present a method to discern breaks or discontinuities in the ti
me series of pollutants stemming from emission reductions in the presence o
f meteorological and climatological variability, Using data from a few site
s, this paper illustrates that linear trend estimates of concentrations Of
SO2, aerosol SO42-, and precipitation-weighted SO42- and NO3- can be biased
because of such complex features embedded in pollutant time series. (C) 20
01 Elsevier Science Ltd. All rights reserved.