% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Gkatzelis:890957,
author = {Gkatzelis, Georgios and Gilman, Jessica B. and Brown,
Steven S. and Eskes, Henk and Gomes, A. Rita and Lange, Anne
C. and McDonald, Brian C. and Peischl, Jeff and Petzold,
Andreas and Thompson, Chelsea R. and Kiendler-Scharr,
Astrid},
title = {{T}he global impacts of {COVID}-19 lockdowns on urban air
pollution},
journal = {Elementa},
volume = {9},
number = {1},
issn = {2325-1026},
address = {Washington, DC},
publisher = {BioOne},
reportid = {FZJ-2021-01273},
pages = {00176},
year = {2021},
abstract = {The coronavirus-19 (COVID-19) pandemic led to government
interventions to limit the spread of the disease which are
unprecedented in recent history; for example, stay at home
orders led to sudden decreases in atmospheric emissions from
the transportation sector. In this review article, the
current understanding of the influence of emission
reductions on atmospheric pollutant concentrations and air
quality is summarized for nitrogen dioxide (NO2),
particulate matter (PM2.5), ozone (O3), ammonia, sulfur
dioxide, black carbon, volatile organic compounds, and
carbon monoxide (CO). In the first 7 months following the
onset of the pandemic, more than 200 papers were accepted by
peer-reviewed journals utilizing observations from
ground-based and satellite instruments. Only about one-third
of this literature incorporates a specific method for
meteorological correction or normalization for comparing
data from the lockdown period with prior reference
observations despite the importance of doing so on the
interpretation of results. We use the government stringency
index (SI) as an indicator for the severity of lockdown
measures and show how key air pollutants change as the SI
increases. The observed decrease of NO2 with increasing SI
is in general agreement with emission inventories that
account for the lockdown. Other compounds such as O3, PM2.5,
and CO are also broadly covered. Due to the importance of
atmospheric chemistry on O3 and PM2.5 concentrations, their
responses may not be linear with respect to primary
pollutants. At most sites, we found O3 increased, whereas
PM2.5 decreased slightly, with increasing SI. Changes of
other compounds are found to be understudied. We highlight
future research needs for utilizing the emerging data sets
as a preview of a future state of the atmosphere in a world
with targeted permanent reductions of emissions. Finally, we
emphasize the need to account for the effects of
meteorology, emission trends, and atmospheric chemistry when
determining the lockdown effects on pollutant
concentrations.},
cin = {IEK-8},
ddc = {550},
cid = {I:(DE-Juel1)IEK-8-20101013},
pnm = {211 - Die Atmosphäre im globalen Wandel (POF4-211)},
pid = {G:(DE-HGF)POF4-211},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000667018500001},
doi = {10.1525/elementa.2021.00176},
url = {https://juser.fz-juelich.de/record/890957},
}