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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

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