New PDF release: AIR QUALITY MANAGEMENT

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Extra resources for AIR QUALITY MANAGEMENT

Sample text

Less frequent data ratification is not usually recommended; this may allow errors to propagate or worsen, leading to long-term data invalidity and rejection. 60 job:LAY03 28-7-1998 page:21 colour:1 black–text Ambient Air Quality Monitoring Box 17 Data ratification E E E E E A periodic, often 3—6 month, review The final stage of data acceptance Usually carried out by separate QA/QC unit Judgement and experience-based Many inputs Figure 9 Data ratification inputs Turning Data into Information At the start of this review, we emphasized that the purpose of monitoring was not merely to collect data, but to produce useful information for technical, policy and public end-users (Figure 10).

Bower continuously operating automatic analysers readily provide adequate temporal representativeness and resolution, as do well-recognized semi-automatic methods such as OECD-type smoke/SO samplers.  Integrating measurement methods such as passive samplers, although fundamentally limited in their time resolution, still produce data which are representative of their total exposure period. Problems can arise, however, when using manual sampling methods in an intermittent, mobile or random deployment strategy.

Automatic analysers are expensive and not always straightforward to operate successfully. These should only be considered if your monitoring objectives have an explicit requirement for short-term measurements, if hourly measurements—or a particular automatic measurement methodology—are required by relevant legislation, or if rapid data dissemination and use is intended. In practice, the combined use of samplers and automatic analysers in a ‘hybrid’ monitoring programme can offer a versatile and cost-effective approach to network design over a municipal or national scale.

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