| Autor: |
Ma L; Department of Civil and Environmental Engineering, Imperial College London, London SW7 2AZ, United Kingdom., Graham DJ; Department of Civil and Environmental Engineering, Imperial College London, London SW7 2AZ, United Kingdom., Stettler MEJ; Department of Civil and Environmental Engineering, Imperial College London, London SW7 2AZ, United Kingdom. |
| Jazyk: |
angličtina |
| Zdroj: |
Environmental science & technology [Environ Sci Technol] 2023 Nov 21; Vol. 57 (46), pp. 18271-18281. Date of Electronic Publication: 2023 Aug 11. |
| DOI: |
10.1021/acs.est.2c09596 |
| Abstrakt: |
Activity changes during the COVID-19 lockdown present an opportunity to understand the effects that prospective emission control and air quality management policies might have on reducing air pollution. Using a regression discontinuity design for causal analysis, we show that the first UK national lockdown led to unprecedented decreases in road traffic, by up to 65%, yet incommensurate and heterogeneous responses in air pollution in London. At different locations, changes in air pollution attributable to the lockdown ranged from -50% to 0% for nitrogen dioxide (NO 2 ), 0% to +4% for ozone (O 3 ), and -5% to +0% for particulate matter with an aerodynamic diameter less than 10 μm (PM 10 ), and there was no response for PM 2.5 . Using explainable machine learning to interpret the outputs of a predictive model, we show that the degree to which NO 2 pollution was reduced in an area was correlated with spatial features (including road freight traffic and proximity to a major airport and the city center), and that existing inequalities in air pollution exposure were exacerbated: pollution reductions were greater in places with more affluent residents and better access to public transport services. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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