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Chinese NOx emission reductions and rebound as a result of the COVID-19 crisis quantified through inversion of TROPOMI NO2 observations

Jieying Ding, Ronald van der A, Henk Eskes, Bas Mijling, Trissevgeni Stavrakou, Jos van Geffen, Pepijn Veefkind

202014 citationsDOI

Abstract

During the COVID-19 lockdown in China low air pollution levels were reported as a consequence of the reduced economic and social activities. Quantification of the pollution reduction is not straightforward due to effects of transport, meteorology, and chemistry. Here we have analysed the NO emission reductions calculated with an inverse algorithm applied to daily NO observations from the TROPOMI instrument onboard the Copernicus Sentinel-5P satellite. This method allows 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 to 50% for cities, about 40% for power plants and 15 to 40% for maritime transport depending on the region. The reduction in both emissions and concentrations shows a similar timeline consisting of a sharp reduction around the Spring festival and a slow recovery from mid-February to mid-March.

Topics & Concepts

Environmental scienceNOxInversion (geology)TimelineAir pollutionPollutionAtmospheric sciencesCoronavirus disease 2019 (COVID-19)MeteorologyEmission inventorySatelliteAir quality indexGeographyChemistryCombustionPhysicsBiologyStructural basinDiseasePaleontologyPathologyArchaeologyEcologyInfectious disease (medical specialty)Organic chemistryAstronomyMedicineCOVID-19 impact on air qualityAir Quality and Health ImpactsImpact of Light on Environment and Health