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• W2808876260 abstract "Background The UK’s Climate Change Act 2008 (CCA; Great Britain. Climate Change Act 2008 . Chapter 27. London: The Stationery Office; 2008) requires a reduction of 80% in carbon dioxide-equivalent emissions by 2050 on a 1990 base. This project quantified the impact of air pollution on health from four scenarios involving particulate matter of ≤ 2.5 µm (PM 2.5 ), nitrogen dioxide (NO 2 ) and ozone (O 3 ). Two scenarios met the CCA target: one with limited nuclear power build (nuclear replacement option; NRPO) and one with no policy constraint on nuclear (low greenhouse gas). Another scenario envisaged no further climate actions beyond those already agreed (‘baseline’) and the fourth kept 2011 concentrations constant to 2050 (‘2011’). Methods The UK Integrated MARKAL–EFOM System (UKTM) energy system model was used to develop the scenarios and produce projections of fuel use; these were used to produce air pollutant emission inventories for Great Britain (GB) for each scenario. The inventories were then used to run the Community Multiscale Air Quality model ‘air pollution model’ to generate air pollutant concentration maps across GB, which then, combined with relationships between concentrations and health outcomes, were used to calculate the impact on health from the air pollution emitted in each scenario. This is a significant improvement on previous health impact studies of climate policies, which have relied on emissions changes. Inequalities in exposure in different socioeconomic groups were also calculated, as was the economic impact of the pollution emissions. Results Concentrations of NO 2 declined significantly because of a high degree of electrification of the GB road transport fleet, although the NRPO scenario shows large increases in oxides of nitrogen emissions from combined heat and power (CHP) sources. Concentrations of PM 2.5 show a modest decrease by 2050, which would have been larger if it had not been for a significant increase in biomass (wood burning) use in the two CCA scenarios peaking in 2035. The metric quantifying long-term exposure to O 3 is projected to decrease, while the important short-term O 3 exposure metric increases. Large projected increases in future GB vehicle kilometres lead to increased non-exhaust PM 2.5 and particulate matter of ≤ 10 µm emissions. The two scenarios which achieve the CCA target resulted in more life-years lost from long-term exposures to PM 2.5 than in the baseline scenario. This is an opportunity lost and arises largely from the increase in biomass use, which is projected to peak in 2035. Reduced long-term exposures to NO 2 lead to many more life-years saved in the ‘CCA-compliant’ scenarios, but the association used may overestimate the effects of NO 2 itself. The more deprived populations are estimated currently to be exposed to higher concentrations than those less deprived, the contrast being largest for NO 2 . Despite reductions in concentrations in 2050, the most socioeconomically deprived are still exposed to higher concentrations than the less deprived. Limitations Modelling of the atmosphere is always uncertain; we have shown the model to be acceptable through comparison with observations. The necessary complexity of the modelling system has meant that only a small number of scenarios were run. Conclusions We have established a system which can be used to explore a wider range of climate policy scenarios, including more European and global scenarios as well as local measures. Future work could explore wood burning in more detail, in terms of the sectors in which it might be burned and the spatial distribution of this across the UK. Further analyses of options for CHP could also be explored. Non-exhaust emissions from road transport are an important source of particles and emission factors are uncertain. Further research on this area coupled with our modelling would be a valuable area of research. Funding The National Institute for Health Research Public Health Research programme." @default.
• W2808876260 created "2018-06-29" @default.
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• W2808876260 date "2018-06-01" @default.
• W2808876260 modified "2023-10-18" @default.
• W2808876260 title "Public health air pollution impacts of pathway options to meet the 2050 UK Climate Change Act target: a modelling study" @default.
• W2808876260 cites W1537598136 @default.
• W2808876260 cites W1831088743 @default.
• W2808876260 cites W1840983752 @default.
• W2808876260 cites W1881063732 @default.
• W2808876260 cites W1964000292 @default.
• W2808876260 cites W1965384302 @default.
• W2808876260 cites W1968862760 @default.
• W2808876260 cites W1978692310 @default.
• W2808876260 cites W1979006455 @default.
• W2808876260 cites W1979452424 @default.
• W2808876260 cites W1982056270 @default.
• W2808876260 cites W1987256859 @default.
• W2808876260 cites W1989023611 @default.
• W2808876260 cites W1996097822 @default.
• W2808876260 cites W1997132789 @default.
• W2808876260 cites W1997709958 @default.
• W2808876260 cites W2002561201 @default.
• W2808876260 cites W2007433322 @default.
• W2808876260 cites W2014108548 @default.
• W2808876260 cites W2015825039 @default.
• W2808876260 cites W2016058910 @default.
• W2808876260 cites W2024966118 @default.
• W2808876260 cites W2030142581 @default.
• W2808876260 cites W2031519871 @default.
• W2808876260 cites W2033069436 @default.
• W2808876260 cites W2035438790 @default.
• W2808876260 cites W2041941773 @default.
• W2808876260 cites W2042937968 @default.
• W2808876260 cites W2043196564 @default.
• W2808876260 cites W2043807729 @default.
• W2808876260 cites W2047096328 @default.
• W2808876260 cites W2051833014 @default.
• W2808876260 cites W2052538091 @default.
• W2808876260 cites W2057379748 @default.
• W2808876260 cites W2071327121 @default.
• W2808876260 cites W2076356369 @default.
• W2808876260 cites W2086038705 @default.
• W2808876260 cites W2089086036 @default.
• W2808876260 cites W2093323261 @default.
• W2808876260 cites W2093868922 @default.
• W2808876260 cites W2094541768 @default.
• W2808876260 cites W2097008468 @default.
• W2808876260 cites W2099269882 @default.
• W2808876260 cites W2099327766 @default.
• W2808876260 cites W2103529849 @default.
• W2808876260 cites W2104411613 @default.
• W2808876260 cites W2107518791 @default.
• W2808876260 cites W2110603777 @default.
• W2808876260 cites W2110669521 @default.
• W2808876260 cites W2112340488 @default.
• W2808876260 cites W2119147895 @default.
• W2808876260 cites W2121101688 @default.
• W2808876260 cites W2121420620 @default.
• W2808876260 cites W2127281457 @default.
• W2808876260 cites W2139334033 @default.
• W2808876260 cites W2140841877 @default.
• W2808876260 cites W2141230140 @default.
• W2808876260 cites W2141656762 @default.
• W2808876260 cites W2142794782 @default.
• W2808876260 cites W2150478821 @default.
• W2808876260 cites W2151181273 @default.
• W2808876260 cites W2151933569 @default.
• W2808876260 cites W2160676889 @default.
• W2808876260 cites W2165008530 @default.
• W2808876260 cites W2168658532 @default.
• W2808876260 cites W2169734324 @default.
• W2808876260 cites W2173632050 @default.
• W2808876260 cites W2175636903 @default.
• W2808876260 cites W2179912439 @default.
• W2808876260 cites W2181531051 @default.
• W2808876260 cites W2209260785 @default.
• W2808876260 cites W2222986230 @default.
• W2808876260 cites W2273957596 @default.
• W2808876260 cites W2279744921 @default.
• W2808876260 cites W2345413917 @default.
• W2808876260 cites W2360930213 @default.
• W2808876260 cites W2413885724 @default.
• W2808876260 cites W2462465140 @default.
• W2808876260 cites W2476766488 @default.
• W2808876260 cites W2487219370 @default.
• W2808876260 cites W2556195678 @default.
• W2808876260 cites W4234237704 @default.
• W2808876260 doi "https://doi.org/10.3310/phr06070" @default.

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