Particulate air pollution (PMio) was monitored at a busy urban intersection using a
continuous method. Meteorological conditions: wind speed, wind direction, air
temperature and percent relative humidity were measured continuously, in conjunction
with PMio. Traffic volume counts were obtained for part of the monitoring period.
Motor vehicles were identified as being the main contributor to the overall PMio level at
the intersection. The meteorological parameters were assessed to establish their effect
on the measured PMio mass concentration values. A model of the relationships was
developed and evaluated. The model was found to be reasonable in predicting PMio
values based on historical data.
An empirical technique was investigated based on the developed model to assess the
suitability to prediction of daily PMio average values. The empirical technique was
concluded to be unacceptable when applied to PMio due to the nature of the pollutant