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
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18<br />
13<br />
8<br />
3<br />
-2<br />
7/1/2011<br />
7/16/2011<br />
Camden Kerbside<br />
Har<strong>in</strong>gey Roadside<br />
London Bexley<br />
London Bloomsbury<br />
London Eltham<br />
London Harl<strong>in</strong>gton<br />
London Harrow<br />
Stanmore<br />
7/31/2011<br />
8/15/2011<br />
8/30/2011<br />
Volatile <strong>PM2.5</strong> FDMS London Sites<br />
9/14/2011<br />
9/29/2011<br />
10/14/2011<br />
Measur<strong>in</strong>g <strong>PM2.5</strong> and its components<br />
10/29/2011<br />
11/13/2011<br />
11/28/2011<br />
12/13/2011<br />
12/28/2011<br />
Figure 2.5: Regional volatile FDMS data. The y-axis shows <strong>PM2.5</strong> concentrations<br />
<strong>in</strong> µg m -3 .<br />
2.3.8 Identification of poor data <strong>quality</strong> due to <strong>in</strong>strument failure<br />
47. <strong>PM2.5</strong> monitor<strong>in</strong>g <strong>in</strong>struments may fail for numerous reasons. The equipment<br />
is serviced at the regular six-monthly ESU (equipment support unit) visits but<br />
malfunctions can arise between services. Some faults are m<strong>in</strong>or, such as sample<br />
flows just below optimum, but flow blockages can prevent the <strong>in</strong>strument from<br />
sampl<strong>in</strong>g ambient air. Ratification uses all available <strong>in</strong>formation, such as raw<br />
measurements, calibrations, alarms, eng<strong>in</strong>eer reports, etc., to decide if the data<br />
can be corrected or need to be rejected.<br />
2.3.9 Ma<strong>in</strong> FDMS <strong>in</strong>strument problems and their effects<br />
48. The FDMS analyser, used almost exclusively <strong>in</strong> the UK AURN for PM monitor<strong>in</strong>g<br />
s<strong>in</strong>ce 2009, presents many challenges for data process<strong>in</strong>g and ratification. The<br />
challenges centre on response anomalies and mismatches, which can result<br />
<strong>in</strong> significant data rejection. This is <strong>in</strong> contrast to the earlier TEOM analysers,<br />
which, although not immune to problems themselves, tended not to experience<br />
such extended periods of unacceptable data <strong>quality</strong> and therefore generally met<br />
the 90% annual data capture requirement.<br />
33