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Towards near-real-time air pollutant and greenhouse gas emissions: lessons learned from multiple estimates during the COVID-19 pandemic
by
Lamboll, Robin D.
, Super, Ingrid
, Pérez García-Pando, Carlos
, Guevara, Marc
, Petetin, Hervé
, Denier van der Gon, Hugo
, Kuenen, Jeroen
, Liu, Zhu
, Matthews, Bradley
, Doumbia, Thierno
, Ciais, Philippe
, Schindlbacher, Sabine
, Jorba, Oriol
, Granier, Claire
in
Air pollution
/ Analysis
/ Anthropogenic factors
/ Carbon dioxide
/ Chemical speciation
/ Climate change
/ Coal-fired power plants
/ Combustion
/ COVID-19
/ Datasets
/ Decarbonization
/ Emissions
/ Epidemics
/ Estimates
/ Fossil fueled power plants
/ Fossil fuels
/ Gases
/ Gels
/ Global temperature changes
/ Greenhouse effect
/ Greenhouse gases
/ Human influences
/ International organizations
/ Inventories
/ Manufacturing industry
/ Meteorology
/ Modelling
/ Monitoring
/ Monthly distribution
/ Nitrogen compounds
/ Nitrogen oxides
/ Outdoor air quality
/ Pandemics
/ Pollutants
/ Power plants
/ Protective equipment
/ Real time
/ Sciences of the Universe
/ Shipping
/ Sulphur
/ Transboundary pollution
2023
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Towards near-real-time air pollutant and greenhouse gas emissions: lessons learned from multiple estimates during the COVID-19 pandemic
by
Lamboll, Robin D.
, Super, Ingrid
, Pérez García-Pando, Carlos
, Guevara, Marc
, Petetin, Hervé
, Denier van der Gon, Hugo
, Kuenen, Jeroen
, Liu, Zhu
, Matthews, Bradley
, Doumbia, Thierno
, Ciais, Philippe
, Schindlbacher, Sabine
, Jorba, Oriol
, Granier, Claire
in
Air pollution
/ Analysis
/ Anthropogenic factors
/ Carbon dioxide
/ Chemical speciation
/ Climate change
/ Coal-fired power plants
/ Combustion
/ COVID-19
/ Datasets
/ Decarbonization
/ Emissions
/ Epidemics
/ Estimates
/ Fossil fueled power plants
/ Fossil fuels
/ Gases
/ Gels
/ Global temperature changes
/ Greenhouse effect
/ Greenhouse gases
/ Human influences
/ International organizations
/ Inventories
/ Manufacturing industry
/ Meteorology
/ Modelling
/ Monitoring
/ Monthly distribution
/ Nitrogen compounds
/ Nitrogen oxides
/ Outdoor air quality
/ Pandemics
/ Pollutants
/ Power plants
/ Protective equipment
/ Real time
/ Sciences of the Universe
/ Shipping
/ Sulphur
/ Transboundary pollution
2023
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Towards near-real-time air pollutant and greenhouse gas emissions: lessons learned from multiple estimates during the COVID-19 pandemic
by
Lamboll, Robin D.
, Super, Ingrid
, Pérez García-Pando, Carlos
, Guevara, Marc
, Petetin, Hervé
, Denier van der Gon, Hugo
, Kuenen, Jeroen
, Liu, Zhu
, Matthews, Bradley
, Doumbia, Thierno
, Ciais, Philippe
, Schindlbacher, Sabine
, Jorba, Oriol
, Granier, Claire
in
Air pollution
/ Analysis
/ Anthropogenic factors
/ Carbon dioxide
/ Chemical speciation
/ Climate change
/ Coal-fired power plants
/ Combustion
/ COVID-19
/ Datasets
/ Decarbonization
/ Emissions
/ Epidemics
/ Estimates
/ Fossil fueled power plants
/ Fossil fuels
/ Gases
/ Gels
/ Global temperature changes
/ Greenhouse effect
/ Greenhouse gases
/ Human influences
/ International organizations
/ Inventories
/ Manufacturing industry
/ Meteorology
/ Modelling
/ Monitoring
/ Monthly distribution
/ Nitrogen compounds
/ Nitrogen oxides
/ Outdoor air quality
/ Pandemics
/ Pollutants
/ Power plants
/ Protective equipment
/ Real time
/ Sciences of the Universe
/ Shipping
/ Sulphur
/ Transboundary pollution
2023
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Towards near-real-time air pollutant and greenhouse gas emissions: lessons learned from multiple estimates during the COVID-19 pandemic
Journal Article
Towards near-real-time air pollutant and greenhouse gas emissions: lessons learned from multiple estimates during the COVID-19 pandemic
2023
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Overview
The 2020 COVID-19 crisis caused an unprecedented drop in anthropogenic emissions of air pollutants and greenhouse gases. Given that emissions estimates from official national inventories for the year 2020 were not reported until 2 years later, new and non-traditional datasets to estimate near-real-time emissions became particularly relevant and widely used in international monitoring and modelling activities during the pandemic. This study investigates the impact of the COVID-19 pandemic on 2020 European (the 27 EU member states and the UK) emissions by comparing a selection of such near-real-time emission estimates, with the official inventories that were subsequently reported in 2022 under the Convention on Long-Range Transboundary Air Pollution (CLRTAP) and the United Nations Framework Convention on Climate Change (UNFCCC). Results indicate that annual changes in total 2020 emissions reported by official and near-real-time estimates are fairly in line for most of the chemical species, with NOx and fossil fuel CO2 being reported as the ones that experienced the largest reduction in Europe in all cases. However, large discrepancies arise between the official and non-official datasets when comparing annual results at the sector and country level, indicating that caution should be exercised when estimating changes in emissions using specific near-real-time activity datasets, such as time mobility data derived from smartphones. The main examples of these differences are observed for the manufacturing industry NOx (relative changes ranging between −21.4 % and −5.4 %) and road transport CO2 (relative changes ranging between −29.3 % and −5.6 %) total European emissions. Additionally, significant discrepancies are observed between the quarterly and monthly distribution of emissions drops reported by the various near-real-time inventories, with differences of up to a factor of 1.5 for total NOx during April 2020, when restrictions were at their maximum. For residential combustion, shipping and the public energy industry, results indicate that changes in emissions that occurred between 2019 and 2020 were mainly dominated by non-COVID-19 factors, including meteorology, the implementation of the Global Sulphur Cap and the shutdown of coal-fired power plants as part of national decarbonization efforts, respectively. The potential increase in NMVOC emissions from the intensive use of personal protective equipment such as hand sanitizer gels is considered in a heterogeneous way across countries in officially reported inventories, indicating the need for some countries to base their calculations on more advanced methods. The findings of this study can be used to better understand the uncertainties in near-real-time emissions and how such emissions could be used in the future to provide timely updates to emission datasets that are critical for modelling and monitoring applications.
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