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  Learning from the COVID-19 lockdown in Berlin: Observations and modelling to support understanding policies to reduce NO2.

von Schneidemesser, E., Sibiya, B., Caseiro, A., Butler, T. M., Lawrence, M. G., Leitao, J., Lupascu, A., Salvador, P. (2021): Learning from the COVID-19 lockdown in Berlin: Observations and modelling to support understanding policies to reduce NO2. - Atmospheric environment: X, 12, 100122.
https://doi.org/10.1016/j.aeaoa.2021.100122

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 Creators:
von Schneidemesser, Erika1, Author              
Sibiya, Bheki1, Author              
Caseiro, Alexandre1, Author              
Butler, Tim M.1, Author              
Lawrence, Mark G.1, Author              
Leitao, Joana1, Author              
Lupascu, Aurelia1, Author              
Salvador, Pedro2, Author
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1IASS Institute for Advanced Sustainability Studies Potsdam, ou_96022              
2External Organizations, ou_persistent22              

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Free keywords: Urban areas, Air pollution, Emissions, COVID-19, Nitrogen dioxide, Ozone, Europe
 Abstract: Urban air pollution is a substantial threat to human health. Traffic emissions remain a large contributor to air pollution in urban areas. The mobility restrictions put in place in response to the COVID-19 pandemic provided a large-scale real-world experiment that allows for the evaluation of changes in traffic emissions and the corresponding changes in air quality. Here we use observational data, as well as modelling, to analyse changes in nitrogen dioxide, ozone, and particulate matter resulting from the COVID-19 restrictions at the height of the lockdown period in Spring of 2020. Accounting for the influence of meteorology on air quality, we found that reduction of ca. 30–50 % in traffic counts, dominated by changes in passenger cars, corresponded to reductions in median observed nitrogen dioxide concentrations of ca. 40 % (traffic and urban background locations) and a ca. 22 % increase in ozone (urban background locations) during weekdays. Lesser reductions in nitrogen dioxide concentrations were observed at urban background stations at weekends, and no change in ozone was observed. The modelled reductions in median nitrogen dioxide at urban background locations were smaller than the observed reductions and the change was not significant. The model results showed no significant change in ozone on weekdays or weekends. The lack of a simulated weekday/weekend effect is consistent with previous work suggesting that NOx emissions from traffic could be significantly underestimated in European cities by models. These results indicate the potential for improvements in air quality due to policies for reducing traffic, along with the scale of reductions that would be needed to result in meaningful changes in air quality if a transition to sustainable mobility is to be seriously considered. They also confirm once more the highly relevant role of traffic for air quality in urban areas.

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Language(s): eng - English
 Dates: 2021-082021-12
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

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Title: Atmospheric environment: X
Source Genre: Journal, E14, Scopus, oa
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Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: 12 Sequence Number: 100122 Start / End Page: - Identifier: ISSN: 2590-1621
CoNE: https://publications.rifs-potsdam.de/cone/journals/resource/20210607b