05.01.2013 Views

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

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

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

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

problematical, and which is also illustrative of the general problem of evaluat<strong>in</strong>g<br />

<strong>PM2.5</strong> models because of uncerta<strong>in</strong>ties regard<strong>in</strong>g measured data.<br />

PM 2.5 (µg/m³)<br />

25<br />

20<br />

15<br />

10<br />

5<br />

0<br />

490000 510000 530000<br />

East<strong>in</strong>g, metres<br />

PCM 2009<br />

ADMS high resolution 2008<br />

ADMS 1km resolution 2008<br />

FDMS 2009<br />

Partisol 2009<br />

FDMS 2008<br />

550000 570000<br />

Figure 5.5: Annual mean <strong>PM2.5</strong> concentrations predicted us<strong>in</strong>g the ADMS-<br />

Urban (2008) and PCM (2009) models together with observations from FDMS<br />

and Partisol <strong>in</strong>struments (ma<strong>in</strong>ly 2009) though Central London. The ADMS-<br />

Urban predictions are shown at 10 m x 10 m resolution (blue l<strong>in</strong>e) and at<br />

1 km x 1 km resolution (red l<strong>in</strong>e).<br />

5.4 Components of <strong>PM2.5</strong> and source attribution<br />

Modell<strong>in</strong>g <strong>PM2.5</strong> and the future<br />

25. Total <strong>PM2.5</strong> <strong>in</strong>cludes contributions from primary sources, not all of which are<br />

represented <strong>in</strong> emission <strong>in</strong>ventories, and from secondary <strong>particulate</strong>s formed<br />

from precursor gases dur<strong>in</strong>g atmospheric transport. The latter <strong>in</strong>cludes<br />

both secondary <strong>in</strong>organic aerosol (SIA), <strong>in</strong> the form of nitrate, sulphate and<br />

ammonium compounds, and secondary organic aerosol (SOA). In addition,<br />

other contributions come from natural sources and water (see Chapter 2 for<br />

measurement perspective).<br />

26. An important function of modell<strong>in</strong>g is source attribution, i.e. differentiat<strong>in</strong>g<br />

components and estimat<strong>in</strong>g how different sources or <strong>group</strong>s of sources<br />

contribute to concentrations. Examples are given <strong>in</strong> Figures 5.6 and 5.10,<br />

and Tables 5.4 and 5.5. Figure 5.6 is derived from the PCM model (A2.8) and<br />

gives a breakdown of contributions to concentrations of <strong>PM2.5</strong> for a transect<br />

across London and south-east England (co<strong>in</strong>cident with but extend<strong>in</strong>g further<br />

than the transect shown <strong>in</strong> Figure 5.5), and Figure 5.10 gives a more detailed<br />

breakdown of components at background monitor<strong>in</strong>g sites where totals can be<br />

compared with measurements. As an <strong>in</strong>dicator of exposure, Tables 5.4 and 5.5<br />

give a breakdown of the different contributions to population-weighted mean<br />

exposures from both the PCM and UKIAM models.<br />

131

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!