Assessing Background Air Pollutant
Concentrations For Modelling Studies:
Evaluation Of Addition Equations Under
Irish Conditions
Author(s)
A. Donnelly, B. Broderick & B. Misstear
Abstract
Values adopted for background pollutant concentrations can have a significant
effect on the accuracy of the final results in air quality modelling studies. In the
absence of a reliable method of combining modelled and background
concentrations it has been common practice to sum the percentiles or annual
means of each contribution to obtain a value for comparison with limit values.
This is often not appropriate as in many cases the meteorological conditions
producing high concentrations from the source do not correspond to those
resulting in high background concentrations. The validity of a number of
equations derived in the UK to add background NO2 and PM10 concentrations to
modelled stack contributions has been examined for Irish conditions. The
equations allow a total percentile concentration to be predicted at a given
receptor based on an annual mean background concentration and hourly
modelled concentrations. A theoretical point source was modelled using the
point source Gaussian plume equation and corresponding meteorological data,
and the addition equations applied using monitored background NO2 and PM10
data. The equations were also tested for a line source, modelled using the
General Finite Line Source Model (GFLSM). Baseline values were calculated by
addition of the relevant hourly or daily background concentration to the
modelled concentrations to produce a full year of total hourly or daily
concentrations. Percentiles and annual mean values, and corresponding 95%
confidence limits were calculated directly from this data set. Percentile
concentrations predicted by each of the equations were compared to the baseline
www.witpress.com, ISSN 1743-3541 (on-line)
WIT Transactions on Ecology and the
Keywords
background concentrations, NOx, NO2, PM10, modelled concentrations, limit values, percentiles
Related Book
Other papers in this volume
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