Abstract
Human health burdens associated with long-term exposure to particulate matter (PM) are substantial. The metrics currently recommended by the World Health Organization for quantification of long-term health-relevant PM are the annual average PM10 and PM2.5 mass concentrations, with no low concentration threshold. However, within an annual average, there is substantial variation in the composition of PM associated with different sources. To inform effective mitigation strategies, therefore, it is necessary to quantify the conditions that contribute to annual average PM10 and PM2.5 (rather than just short-term episodic concentrations). PM10, PM2.5, and speciated water-soluble inorganic, carbonaceous, heavy metal and polycyclic aromatic hydrocarbon components are concurrently measured at the two UK European Monitoring and Evaluation Programme (EMEP) ‘supersites’ at Harwell (SE England) and Auchencorth Moss (SE Scotland). In this work, statistical analyses of these measurements are integrated with air-mass back trajectory data to characterise the ‘chemical climate’ associated with the long-term health-relevant PM metrics at these sites. Specifically, the contributions from different PM concentrations, months, components and geographic regions are detailed. The analyses at these sites provide policy-relevant conclusions on mitigation of (i) long-term health-relevant PM in the spatial domain for which these sites are representative, and (ii) the contribution of regional background PM to long-term health-relevant PM.At Harwell the mean (±1 sd) 2010–2013 annual average concentrations were PM10=16.4±1.4μgm−3 and PM2.5=11.9±1.1μgm−3 and at Auchencorth PM10=7.4±0.4μgm−3 and PM2.5=4.1±0.2μgm−3. The chemical climate state at each site showed that frequent, moderate hourly PM10 and PM2.5 concentrations (defined as approximately 5–15μgm−3 for PM10 and PM2.5 at Harwell and 5–10μgm−3 for PM10 at Auchencorth) determined the magnitude of annual average PM10 and PM2.5 to a greater extent than the relatively infrequent high, episodic PM10 and PM2.5 concentrations. These moderate PM10 and PM2.5 concentrations were derived across the range of chemical components, seasons and air-mass pathways, in contrast to the highest PM concentrations which tended to associate with specific conditions. For example, the largest contribution to moderate PM10 and PM2.5 concentrations – the secondary inorganic aerosol components, specifically NO3− – were accumulated during the arrival of trajectories traversing the spectrum of marine, UK, and continental Europe areas. Mitigation of the long-term health-relevant PM impact in the regions characterised by these two sites requires multilateral action, across species (and hence source sectors), both nationally and internationally; there is no dominant determinant of the long-term PM metrics to target.
Highlights
Particulate matter (PM) is an atmospheric component associated with premature mortality and morbidity
The chemical climates outlined in this paper provide a set of statistics for the interpretation of PM mass and component data which link long-term health-relevant PM to the contributing drivers
The UK European Monitoring and Evaluation Programme (EMEP) supersite measurements are representative of rural concentrations in the UK, and the application of these statistics to these sites has provided policy-relevant conclusions on the conditions producing i) long-term health-relevant PM in rural areas of the UK and ii) the regional background contribution to long-term health-relevant PM across the UK which are a substantial fraction of total PM in urban areas of the UK
Summary
Particulate matter (PM) is an atmospheric component associated with premature mortality and morbidity. Risk estimates for health effects have been found to be substantially higher from long-term exposure to PM. These assessments are generally based on quantification of PM as the total mass concentration of all particles with aerodynamic diameter b 2.5 μm (PM2.5) or b 10 μm (PM10); but PM is comprised of a variety of chemical components and particle sizes (Heal et al, 2012). The recommended concentration-response function (CRF) to quantify premature mortality associated with long-term exposure to ambient PM in Europe is defined using the annual average PM2.5 concentration (HRAPIE, 2013), as are the CRFs used in the Global Burden of Disease project (Forouzanfar et al, 2015). REVIHAAP (2013) conclude that mortality outcomes extend to PM2.5 concentrations ‘well below’ the current WHO air quality guideline for PM2.5 of 10 μg m−3, and that health benefits would result from any reduction in annual average PM2.5 or PM10 concentrations
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