An empirical approach for the prediction of daily mean PM10 concentrations |
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| Institution: | 1. Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Via San Barnaba, 8, 20122 Milan, Italy;2. Epidemiology Unit, Department of Preventive Medicine, Fondazione IRCCS Ca’ Granda-Ospedale Maggiore Policlinico, Via San Barnaba, 8, 20122 Milan, Italy;3. Department of Statistics, Informatics and Applications “G. Parenti,” University of Florence, Viale Morgagni, 59, 50134 Florence, Italy;4. Biostatistics Unit, Cancer Prevention and Research Institute (ISPO), Via Cosimo Il Vecchio, 2, 50139 Florence, Italy;1. Imperial College London, Department of Earth Science and Engineering, London, SW7 2AZ, UK;2. CRPG, UMR 7358 CNRS-UL, Nancy 54500, France;3. National Centre for Atmospheric Sciences, Division of Environmental Health and Risk Management, University of Birmingham, B15 2TT, UK;4. Department of Environmental Sciences/Center of Excellence in Environmental Studies, King Abdulaziz University, PO Box 80203, Jeddah, 21589, Saudi Arabia;5. Centre for Environment and Health, King''s College London, London SE1 9NH, UK;6. Transport Systems Catapult, Milton Keynes, MK9 1BP, UK;1. University of Pittsburgh Graduate School of Public Health, Department of Environmental and Occupational Health, 100 Technology Drive, Suite 553, Pittsburgh, PA, 15219, United States;2. University of Pittsburgh Graduate School of Public Health, Department of Environmental and Occupational Health, Pittsburgh, PA, United States |
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| Abstract: | An empirical model has been devised to predict concentrations of PM10 at background and roadside locations in London. Factors to calculate primary PM10 and PM2.5 concentrations are derived from annual mean NOX, PM2.5 and PM10 measurements across London and south east England. These factors are used to calculate daily means for the primary and non-primary PM10 fractions for the London area. The model accurately predicts daily mean PM10 and EU Directive Limit values across a range of sites from kerbside to rural. Predictions of future PM10 can be made using the expected reductions in secondary PM10 and site specific annual mean NOX predicted from emission inventories and dispersion modelling. The model suggests that the EU Directive Limit values will be exceeded close to many of London's busiest roads, and perhaps at central background sites should there be a repeat of 1996 meteorological conditions during 2005. A repeat of 1997 meteorology conditions during 2005 would lead to the EU Limit Value being exceeded alongside the busiest central London roads only. The model is applicable for London and south east England but the methodology could be applied elsewhere at a city or regional level. The model relies on the currently observed ratio between NOX and PM10. This ratio has remained constant over the last 4 years but might change in the future. The NOX:PM10 ratio derived from measurements and used in this model, implies that emission inventories might over estimate primary PM10 by more than 50%. |
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