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Impacts of emissions policies on future UK mortality burdens associated with air pollution.
Macintyre, Helen L; Mitsakou, Christina; Vieno, Massimo; Heal, Mathew R; Heaviside, Clare; Exley, Karen S.
Afiliação
  • Macintyre HL; UK Health Security Agency, Chilton, Oxon OX11 0RQ, UK; School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston B15 2TT, UK. Electronic address: helen.macintyre@ukhsa.gov.uk.
  • Mitsakou C; UK Health Security Agency, Chilton, Oxon OX11 0RQ, UK. Electronic address: christina.mitsakou@ukhsa.gov.uk.
  • Vieno M; UK Centre for Ecology & Hydrology, Bush Estate, Penicuik, Midlothian EH26 0QB, UK. Electronic address: mvi@ceh.ac.uk.
  • Heal MR; School of Chemistry, University of Edinburgh, Joseph Black Building, David Brewster Road, Edinburgh EH9 3FJ, UK. Electronic address: m.heal@ed.ac.uk.
  • Heaviside C; Institute for Environmental Design and Engineering, University College London, Central House, 14 Upper Woburn Place, London WC1H 0NN, UK. Electronic address: c.heaviside@ucl.ac.uk.
  • Exley KS; UK Health Security Agency, Chilton, Oxon OX11 0RQ, UK; Department of Health Sciences, University of Leicester, Leicester, UK. Electronic address: karen.exley@ukhsa.gov.uk.
Environ Int ; 174: 107862, 2023 04.
Article em En | MEDLINE | ID: mdl-36963156
Air pollution is the greatest environmental risk to public health. Future air pollution concentrations are primarily determined by precursor emissions, which are driven by environmental policies relating to climate and air pollution. Detailed health impact assessments (HIA) are necessary to provide quantitative estimates of the impacts of future air pollution to support decision-makers developing environmental policy and targets. In this study we use high spatial resolution atmospheric chemistry modelling to simulate future air pollution concentrations across the UK for 2030, 2040 and 2050 based on current UK and European policy projections. We combine UK regional population-weighted concentrations with the latest epidemiological relationships to quantify mortality associated with changes in PM2.5 and NO2 air pollution. Our HIA suggests that by 2050, population-weighted exposure to PM2.5 will reduce by 28% to 36%, and for NO2 by 35% to 49%, depending on region. The HIA shows that for present day (2018), annual mortality attributable to the effects of long-term exposure to PM2.5 and NO2 is in the range 26,287 - 42,442, and that mortality burdens in future will be substantially reduced, being lower by 31%, 35%, and 37% in 2030, 2040 and 2050 respectively (relative to 2018) assuming no population changes. Including population projections (increases in all regions for 30+ years age group) slightly offsets these health benefits, resulting in reductions of 25%, 27%, and 26% in mortality burdens for 2030, 2040, 2050 respectively. Significant reductions in future mortality burdens are estimated and, importantly for public health, the majority of benefits are achieved early on in the future timeline simulated, though further efforts are likely needed to reduce impacts of air pollution to health.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Poluição do Ar Tipo de estudo: Prognostic_studies / Risk_factors_studies País/Região como assunto: Europa Idioma: En Revista: Environ Int Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Atmosféricos / Poluição do Ar Tipo de estudo: Prognostic_studies / Risk_factors_studies País/Região como assunto: Europa Idioma: En Revista: Environ Int Ano de publicação: 2023 Tipo de documento: Article