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dc.contributor.authorDing, J.
dc.contributor.authorVan der A, R.J.
dc.contributor.authorEskes, H.J.
dc.contributor.authorMijling, B.
dc.contributor.authorStavrakou, T.
dc.contributor.authorVan Geffen, J.H.G.M.
dc.contributor.authorVeefkind, J.P.
dc.date2020
dc.date.accessioned2020-10-23T10:01:24Z
dc.date.available2020-10-23T10:01:24Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/7629
dc.descriptionDuring the COVID‐19 lockdown (24 January–20 March) in China low air pollution levels were reported in the media as a consequence of reduced economic and social activities. Quantification of the pollution reduction is not straightforward due to effects of transport, meteorology, and chemistry. We have analyzed the NOx emission reductions calculated with an inverse algorithm applied to daily NO2 observations from TROPOMI onboard the Copernicus Sentinel‐5P satellite. This method allows the quantification of emission reductions per city and the analysis of emissions of maritime transport and of the energy sector separately. The reductions we found are 20–50% for cities, about 40% for power plants, and 15–40% for maritime transport depending on the region. The reduction in both emissions and concentrations shows a similar timeline consisting of a sharp reduction (34–50%) around the Spring festival and a slow recovery from mid‐February to mid‐March.
dc.languageeng
dc.titleNOx emissions reduction and rebound in China due to the COVID‐19 crisis
dc.typeArticle
dc.subject.frascatiEarth and related Environmental sciences
dc.audienceScientific
dc.subject.freeCOVID‐19
dc.subject.freeNOx emissions
dc.subject.freeChina
dc.subject.freeTROPOMI
dc.source.titleGeophysical Research Letters
dc.source.volume47
dc.source.issue9
dc.source.pagee2020GL089912
Orfeo.peerreviewedYes
dc.identifier.doi10.1029/2020GL089912


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