Abstract
The data completeness requirements for the production of defensible annual averages of air quality parameters are discussed. Data quality objectives concerning time coverage and data capture specified by current legislation are critically examined, and the improved, combined metric of data coverage is proposed. Best practice proposals to ensure the representativeness of air quality data across the calendar year are presented. These are based on minimising any bias between the annual average calculated using the data acquired and the annual average that would have been calculated if data coverage had been 100 %. In all cases, the optimum solution is for air quality network operators to aim for 100 % data coverage.
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Acknowledgments
The authors are grateful for very useful discussions with colleagues at AQUILA, particularly Matthew Ross-Jones (Swedish Environmental Protection Agency) and Frank de Leeuw (The National Institute for Public Health and the Environment, The Netherlands), and for funding from the UK National Measurement System’s Chemical and Biological Metrology and Innovation Research and Development Programmes by the UK Department for Business Innovation and Skills.
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Brown, R.J.C., Woods, P.T. Proposals for new data quality objectives to underpin ambient air quality monitoring networks. Accred Qual Assur 19, 465–471 (2014). https://doi.org/10.1007/s00769-014-1085-0
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DOI: https://doi.org/10.1007/s00769-014-1085-0