Literature DB >> 29709284

The Lancet Countdown on health benefits from the UK Climate Change Act: a modelling study for Great Britain.

Martin L Williams1, Melissa C Lott2, Nutthida Kitwiroon3, David Dajnak3, Heather Walton4, Mike Holland5, Steve Pye6, Daniela Fecht7, Mireille B Toledano7, Sean D Beevers3.   

Abstract

BACKGROUND: Climate change poses a dangerous and immediate threat to the health of populations in the UK and worldwide. We aimed to model different scenarios to assess the health co-benefits that result from mitigation actions.
METHODS: In this modelling study, we combined a detailed techno-economic energy systems model (UK TIMES), air pollutant emission inventories, a sophisticated air pollution model (Community Multi-scale Air Quality), and previously published associations between concentrations and health outcomes. We used four scenarios and focused on the air pollution implications from fine particulate matter (PM2·5), nitrogen dioxide (NO2) and ozone. The four scenarios were baseline, which assumed no further climate actions beyond those already achieved and did not meet the UK's Climate Change Act (at least an 80% reduction in carbon dioxide equivalent emissions by 2050 compared with 1990) target; nuclear power, which met the Climate Change Act target with a limited increase in nuclear power; low-greenhouse gas, which met the Climate Change Act target without any policy constraint on nuclear build; and a constant scenario that held 2011 air pollutant concentrations constant until 2050. We predicted the health and economic impacts from air pollution for the scenarios until 2050, and the inequalities in exposure across different socioeconomic groups.
FINDINGS: NO2 concentrations declined leading to 4 892 000 life-years saved for the nuclear power scenario and 7 178 000 life-years saved for the low-greenhouse gas scenario from 2011 to 2154. However, the associations that we used might overestimate the effects of NO2 itself. PM2·5 concentrations in Great Britain are predicted to decrease between 42% and 44% by 2050 compared with 2011 in the scenarios that met the Climate Change Act targets, especially those from road traffic and off-road machinery. These reductions in PM2·5 are tempered by a 2035 peak (and subsequent decline) in biomass (wood burning), and by a large, projected increase in future demand for transport leading to potential increases in non-exhaust particulate matter emissions. The potential use of biomass in poorly controlled technologies to meet the Climate Change Act commitments would represent an important missed opportunity (resulting in 472 000 more life-years lost from PM2·5 in the low-greenhouse gas scenario and 1 122 000 more life-years lost in the nuclear power scenario from PM2·5 than the baseline scenario). Although substantial overall improvements in absolute amounts of exposure are seen compared with 2011, these outcomes mask the fact that health inequalities seen (in which socioeconomically disadvantaged populations are among the most exposed) are projected to be maintained up to 2050.
INTERPRETATION: The modelling infrastructure created will help future researchers explore a wider range of climate policy scenarios, including local, European, and global scenarios. The need to strengthen the links between climate change policy objectives and public health imperatives, and the benefits to societal wellbeing that might result is urgent. FUNDING: National Institute for Health Research.
Copyright © 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.

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Year:  2018        PMID: 29709284     DOI: 10.1016/S2542-5196(18)30067-6

Source DB:  PubMed          Journal:  Lancet Planet Health        ISSN: 2542-5196


  7 in total

Review 1.  Climate Change Mitigation Policies and Co-Impacts on Indigenous Health: A Scoping Review.

Authors:  Rhys Jones; Alexandra Macmillan; Papaarangi Reid
Journal:  Int J Environ Res Public Health       Date:  2020-12-04       Impact factor: 3.390

2.  Health care's response to climate change: a carbon footprint assessment of the NHS in England.

Authors:  Imogen Tennison; Sonia Roschnik; Ben Ashby; Richard Boyd; Ian Hamilton; Tadj Oreszczyn; Anne Owen; Marina Romanello; Paul Ruyssevelt; Jodi D Sherman; Andrew Z P Smith; Kristian Steele; Nicholas Watts; Matthew J Eckelman
Journal:  Lancet Planet Health       Date:  2021-02

3.  The impact of measurement error in modeled ambient particles exposures on health effect estimates in multilevel analysis: A simulation study.

Authors:  Evangelia Samoli; Barbara K Butland; Sophia Rodopoulou; Richard W Atkinson; Benjamin Barratt; Sean D Beevers; Andrew Beddows; Konstantina Dimakopoulou; Joel D Schwartz; Mahdieh Danesh Yazdi; Klea Katsouyanni
Journal:  Environ Epidemiol       Date:  2020-05-27

4.  Comparing the performance of air pollution models for nitrogen dioxide and ozone in the context of a multilevel epidemiological analysis.

Authors:  Barbara K Butland; Evangelia Samoli; Richard W Atkinson; Benjamin Barratt; Sean D Beevers; Nutthida Kitwiroon; Konstantina Dimakopoulou; Sophia Rodopoulou; Joel D Schwartz; Klea Katsouyanni
Journal:  Environ Epidemiol       Date:  2020-05-13

5.  Estimating the costs of air pollution to the National Health Service and social care: An assessment and forecast up to 2035.

Authors:  Laura Pimpin; Lise Retat; Daniela Fecht; Laure de Preux; Franco Sassi; John Gulliver; Annalisa Belloni; Brian Ferguson; Emily Corbould; Abbygail Jaccard; Laura Webber
Journal:  PLoS Med       Date:  2018-07-10       Impact factor: 11.069

6.  Health benefits of policies to reduce carbon emissions.

Authors:  James Milner; Ian Hamilton; James Woodcock; Martin Williams; Mike Davies; Paul Wilkinson; Andy Haines
Journal:  BMJ       Date:  2020-03-30

Review 7.  Tools and Methods to Include Health in Climate Change Adaptation and Mitigation Strategies and Policies: A Scoping Review.

Authors:  Ianis Delpla; Thierno Amadou Diallo; Michael Keeling; Olivier Bellefleur
Journal:  Int J Environ Res Public Health       Date:  2021-03-04       Impact factor: 3.390

  7 in total

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