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.

Concentrations and composition of <strong>PM2.5</strong><br />

verify modelled regional background concentrations and confirm the modelled<br />

spatial pattern of decl<strong>in</strong><strong>in</strong>g rural concentrations from the south-east of England<br />

to the north-west of Scotland. They will also allow the urban enhancement<br />

to be determ<strong>in</strong>ed more precisely. These new sites will need to be sufficiently<br />

far from urban areas to def<strong>in</strong>e the true rural background un<strong>in</strong>fluenced by the<br />

urban area, but not too far, as they would then not represent the regional<br />

background applicable across the urban area. The latter will be a particularly<br />

important consideration where there is a strong gradient <strong>in</strong> concentrations, such<br />

as that suggested <strong>in</strong> models on mov<strong>in</strong>g from the south coast of England to the<br />

Midlands. In these situations it may well be appropriate to def<strong>in</strong>e the urban<br />

enhancement as the difference between the urban background concentration<br />

and the rural background averaged across two or more rural sites located on<br />

different sides of the urban area. It is recommended that an expansion of<br />

the rural <strong>PM2.5</strong> monitor<strong>in</strong>g network to allow the rural background to be<br />

properly def<strong>in</strong>ed is given urgent consideration.<br />

3.6 Relationship with w<strong>in</strong>d direction and air mass trajectory<br />

3.6.1 Relationship of hourly mean <strong>PM2.5</strong> concentrations with w<strong>in</strong>d<br />

direction<br />

22. The Openair software package (Carslaw and Ropk<strong>in</strong>s, 2011) us<strong>in</strong>g the R<br />

language (R Development Core Team, 2011) was used by Laxen et al. (2010) to<br />

exam<strong>in</strong>e the relationship of <strong>PM2.5</strong> concentrations with w<strong>in</strong>d direction and w<strong>in</strong>d<br />

speed (<strong>in</strong> polar plots) for urban background sites <strong>in</strong> 2009. They found a broadly<br />

consistent pattern across the UK, with a strong easterly predom<strong>in</strong>ance to the<br />

higher <strong>PM2.5</strong> concentrations, with a tendency for the highest concentrations<br />

to occur with higher w<strong>in</strong>d speeds ~10 m s -1 . This analysis has been repeated<br />

here for 2010 data and the results show a similar association of the highest<br />

concentrations with easterly and south-easterly w<strong>in</strong>ds (Figure 3.11), with<br />

the highest concentrations often be<strong>in</strong>g associated with higher w<strong>in</strong>d speeds.<br />

The f<strong>in</strong>d<strong>in</strong>gs re<strong>in</strong>force the view that urban background <strong>PM2.5</strong> concentrations<br />

are dom<strong>in</strong>ated by regional rather than local sources, and that PM from<br />

sources <strong>in</strong> cont<strong>in</strong>ental Europe, probably as secondary PM, significantly affects<br />

concentrations <strong>in</strong> the UK.<br />

57

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

Saved successfully!

Ooh no, something went wrong!