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Air quality expert group - Fine particulate matter (PM2.5) in ... - Defra

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<strong>PM2.5</strong> <strong>in</strong> the UK<br />

168<br />

A2.8: PCM PM model<br />

54. A detailed description of the Pollution Climate Mapp<strong>in</strong>g (PCM) models for PM<br />

<strong>in</strong> 2004 can be found <strong>in</strong> Stedman et al. (2007). The methods used to derive the<br />

maps for 2009 are largely the same as adopted for the 2008 maps described <strong>in</strong><br />

Grice et al. (2010), except for the more direct l<strong>in</strong>kages with the calibration of<br />

the models for <strong>PM2.5</strong>.<br />

55. The maps of annual mean background PM concentrations have been calculated<br />

by summ<strong>in</strong>g contributions from different sources:<br />

• secondary <strong>in</strong>organic aerosol (derived by <strong>in</strong>terpolation and scal<strong>in</strong>g of<br />

measurements of SO4 2- , NO3 - and NH4 + at rural sites);<br />

• secondary organic aerosol (semi-volatile organic compounds formed by the<br />

oxidation of non-methane volatile organic compounds. Estimates derived<br />

from results from the HARM/ELMO model);<br />

• large po<strong>in</strong>t sources of primary particles (modelled us<strong>in</strong>g ADMS and<br />

emissions estimates from the NAEI);<br />

• small po<strong>in</strong>t sources of primary particles (modelled us<strong>in</strong>g the small po<strong>in</strong>ts<br />

model and emissions estimates from the NAEI);<br />

• regional primary particles (from results from the TRACK model and<br />

emissions estimates from the NAEI and EMEP);<br />

• area sources of primary particles (modelled us<strong>in</strong>g a dispersion kernel and<br />

emissions estimates from the NAEI);<br />

• regional calcium-rich dusts from resuspension of soils (modelled us<strong>in</strong>g a<br />

dispersion kernel and <strong>in</strong>formation on land use);<br />

• urban calcium-rich dusts from resuspension of soils due to urban activity<br />

(estimated from a comb<strong>in</strong>ation of measurements made <strong>in</strong> Birm<strong>in</strong>gham and<br />

population density);<br />

• regional iron-rich dusts from resuspension (assumed to be a constant value,<br />

estimated measurements made <strong>in</strong> the vic<strong>in</strong>ity of Birm<strong>in</strong>gham);<br />

• iron-rich dusts from resuspension ow<strong>in</strong>g to vehicle activity (modelled us<strong>in</strong>g<br />

a dispersion kernel land and vehicle activity data for heavy duty vehicles);<br />

• sea salt (derived by <strong>in</strong>terpolation and scal<strong>in</strong>g of measurements of chloride<br />

at rural sites); and<br />

• residual sources (assumed to be a constant value).<br />

56. The concentrations of many of these components have been estimated<br />

separately for the f<strong>in</strong>e and coarse fraction. This enables a consistent method to<br />

be adopted for estimation of PM10 (the sum of the f<strong>in</strong>e and coarse fractions)<br />

and <strong>PM2.5</strong> (f<strong>in</strong>e fractions only). These component pieces are then aggregated to<br />

a s<strong>in</strong>gle 1 km x 1 km background PM10 grid. An additional roadside <strong>in</strong>crement is<br />

added for roadside locations.

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