Articles | Volume 22, issue 6
https://doi.org/10.5194/acp-22-4201-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-4201-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
31 Mar 2022
Research article |
| 31 Mar 2022
| 31 Mar 2022
Quantifying urban, industrial, and background changes in NO2 during the COVID-19 lockdown period based on TROPOMI satellite observations
Vitali Fioletov
CORRESPONDING AUTHOR
Air Quality Research Division, Environment and Climate Change Canada,
Toronto, Canada
Chris A. McLinden
Air Quality Research Division, Environment and Climate Change Canada,
Toronto, Canada
Debora Griffin
Air Quality Research Division, Environment and Climate Change Canada,
Toronto, Canada
Nickolay Krotkov
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space
Flight Center, Greenbelt, Maryland, USA
Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space
Flight Center, Greenbelt, Maryland, USA
Henk Eskes
Royal Netherlands Meteorological Institute, De Bilt, the Netherlands
Viewed
Total article views: 3,856 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 06 Jul 2021)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,829 | 967 | 60 | 3,856 | 235 | 43 | 54 |
- HTML: 2,829
- PDF: 967
- XML: 60
- Total: 3,856
- Supplement: 235
- BibTeX: 43
- EndNote: 54
Total article views: 2,615 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 31 Mar 2022)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,083 | 499 | 33 | 2,615 | 119 | 33 | 42 |
- HTML: 2,083
- PDF: 499
- XML: 33
- Total: 2,615
- Supplement: 119
- BibTeX: 33
- EndNote: 42
Total article views: 1,241 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 06 Jul 2021)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 746 | 468 | 27 | 1,241 | 116 | 10 | 12 |
- HTML: 746
- PDF: 468
- XML: 27
- Total: 1,241
- Supplement: 116
- BibTeX: 10
- EndNote: 12
Viewed (geographical distribution)
Total article views: 3,856 (including HTML, PDF, and XML)
Thereof 3,886 with geography defined
and -30 with unknown origin.
Total article views: 2,615 (including HTML, PDF, and XML)
Thereof 2,627 with geography defined
and -12 with unknown origin.
Total article views: 1,241 (including HTML, PDF, and XML)
Thereof 1,259 with geography defined
and -18 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
26 citations as recorded by crossref.
- Estimating surface NO2 concentrations over Europe using Sentinel-5P TROPOMI observations and Machine Learning S. Shetty et al. 10.1016/j.rse.2024.114321
- Can TROPOMI NO2satellite data be used to track the drop in and resurgence of NOxemissions in Germany between 2019–2021 using the multi-source plume method (MSPM)? E. Dammers et al. 10.5194/gmd-17-4983-2024
- Evaluating TROPOMI and MODIS performance to capture the dynamic of air pollution in São Paulo state: A case study during the COVID-19 outbreak A. Rudke et al. 10.1016/j.rse.2023.113514
- Quantifying NOxpoint sources with Landsat and Sentinel-2 satellite observations of NO2plumes D. Varon et al. 10.1073/pnas.2317077121
- Nitrogen dioxide spatiotemporal variations in the complex urban environment of Athens, Greece T. Drosoglou et al. 10.1016/j.atmosenv.2023.120115
- Monitoring European anthropogenic NOx emissions from space R. van der A et al. 10.5194/acp-24-7523-2024
- TROPOMI NO2 Shows a Fast Recovery of China’s Economy in the First Quarter of 2023 H. Li & B. Zheng 10.1021/acs.estlett.3c00386
- Revised estimates of NO2 reductions during the COVID-19 lockdowns using updated TROPOMI NO2 retrievals and model simulations B. Fisher et al. 10.1016/j.atmosenv.2024.120459
- Cross-evaluating WRF-Chem v4.1.2, TROPOMI, APEX, and in situ NO2 measurements over Antwerp, Belgium C. Poraicu et al. 10.5194/gmd-16-479-2023
- Global, regional and city scale changes in atmospheric NO₂ with environmental laws and policies S. Amritha et al. 10.1016/j.scs.2024.105617
- Estimating Hourly Nitrogen Oxide Emissions over East Asia from Geostationary Satellite Measurements T. Xu et al. 10.1021/acs.estlett.3c00467
- INFLUENCE OF POINT SOURCES OF POLLUTION ON AIR QUALITY IN MAOPOLSKA FIRST TESTS OF A NEW VERSION OF FORECASTING OF AIR POLLUTION PROPAGATION SYSTEM K. Kaszowski et al. 10.5604/01.3001.0016.3279
- CLASP: CLustering of Atmospheric Satellite Products and Its Applications in Feature Detection of Atmospheric Trace Gases T. Lee & Y. Wang 10.1029/2023JD038887
- The attempt to estimate annual variability of NOx emission in Poland using Sentinel-5P/TROPOMI data J. Godłowska et al. 10.1016/j.atmosenv.2022.119482
- Air Quality Index (AQI) Did Not Improve during the COVID-19 Lockdown in Shanghai, China, in 2022, Based on Ground and TROPOMI Observations Q. Ma et al. 10.3390/rs15051295
- Observing Downwind Structures of Urban HCHO Plumes From Space: Implications to Non‐Methane Volatile Organic Compound Emissions X. Zuo et al. 10.1029/2023GL106062
- Peculiar COVID-19 effects in the Greater Tokyo Area revealed by spatiotemporal variabilities of tropospheric gases and light-absorbing aerosols A. Damiani et al. 10.5194/acp-22-12705-2022
- The differences between remote sensing and in situ air pollutant measurements over the Canadian oil sands X. Zhao et al. 10.5194/amt-17-6889-2024
- Assessment of environmental consequences of hostilities: Tropospheric NO2 vertical column amounts in the atmosphere over Ukraine in 2019–2022 L. Malytska et al. 10.1016/j.atmosenv.2023.120281
- Monitoring Nitrogen Dioxide Content in the Atmosphere of Cities in Europe and Russia Using Satellite Data A. Tronin et al. 10.1134/S0010952523700739
- Refining Spatial and Temporal XCO2 Characteristics Observed by Orbiting Carbon Observatory-2 and Orbiting Carbon Observatory-3 Using Sentinel-5P Tropospheric Monitoring Instrument NO2 Observations in China K. Guo et al. 10.3390/rs16132456
- Type of Active Learning Implementation in Science Education: A Systematic Review M. Ridani & R. Arianingrum 10.23887/ijerr.v7i2.65623
- Informing Near-Airport Satellite NO2 Retrievals Using Pandora Sky-Scanning Observations A. Mouat et al. 10.1021/acsestair.4c00158
- Maritime sector contributions on NO2 surface concentrations in major ports of the Mediterranean Basin A. Pseftogkas et al. 10.1016/j.apr.2024.102228
- Estimations of NOxemissions, NO2lifetime and their temporal variation over three British urbanised regions in 2019 using TROPOMI NO2observations M. Pommier 10.1039/D2EA00086E
- Sector‐Based Top‐Down Estimates of NOx, SO2, and CO Emissions in East Asia Z. Qu et al. 10.1029/2021GL096009
25 citations as recorded by crossref.
- Estimating surface NO2 concentrations over Europe using Sentinel-5P TROPOMI observations and Machine Learning S. Shetty et al. 10.1016/j.rse.2024.114321
- Can TROPOMI NO2satellite data be used to track the drop in and resurgence of NOxemissions in Germany between 2019–2021 using the multi-source plume method (MSPM)? E. Dammers et al. 10.5194/gmd-17-4983-2024
- Evaluating TROPOMI and MODIS performance to capture the dynamic of air pollution in São Paulo state: A case study during the COVID-19 outbreak A. Rudke et al. 10.1016/j.rse.2023.113514
- Quantifying NOxpoint sources with Landsat and Sentinel-2 satellite observations of NO2plumes D. Varon et al. 10.1073/pnas.2317077121
- Nitrogen dioxide spatiotemporal variations in the complex urban environment of Athens, Greece T. Drosoglou et al. 10.1016/j.atmosenv.2023.120115
- Monitoring European anthropogenic NOx emissions from space R. van der A et al. 10.5194/acp-24-7523-2024
- TROPOMI NO2 Shows a Fast Recovery of China’s Economy in the First Quarter of 2023 H. Li & B. Zheng 10.1021/acs.estlett.3c00386
- Revised estimates of NO2 reductions during the COVID-19 lockdowns using updated TROPOMI NO2 retrievals and model simulations B. Fisher et al. 10.1016/j.atmosenv.2024.120459
- Cross-evaluating WRF-Chem v4.1.2, TROPOMI, APEX, and in situ NO2 measurements over Antwerp, Belgium C. Poraicu et al. 10.5194/gmd-16-479-2023
- Global, regional and city scale changes in atmospheric NO₂ with environmental laws and policies S. Amritha et al. 10.1016/j.scs.2024.105617
- Estimating Hourly Nitrogen Oxide Emissions over East Asia from Geostationary Satellite Measurements T. Xu et al. 10.1021/acs.estlett.3c00467
- INFLUENCE OF POINT SOURCES OF POLLUTION ON AIR QUALITY IN MAOPOLSKA FIRST TESTS OF A NEW VERSION OF FORECASTING OF AIR POLLUTION PROPAGATION SYSTEM K. Kaszowski et al. 10.5604/01.3001.0016.3279
- CLASP: CLustering of Atmospheric Satellite Products and Its Applications in Feature Detection of Atmospheric Trace Gases T. Lee & Y. Wang 10.1029/2023JD038887
- The attempt to estimate annual variability of NOx emission in Poland using Sentinel-5P/TROPOMI data J. Godłowska et al. 10.1016/j.atmosenv.2022.119482
- Air Quality Index (AQI) Did Not Improve during the COVID-19 Lockdown in Shanghai, China, in 2022, Based on Ground and TROPOMI Observations Q. Ma et al. 10.3390/rs15051295
- Observing Downwind Structures of Urban HCHO Plumes From Space: Implications to Non‐Methane Volatile Organic Compound Emissions X. Zuo et al. 10.1029/2023GL106062
- Peculiar COVID-19 effects in the Greater Tokyo Area revealed by spatiotemporal variabilities of tropospheric gases and light-absorbing aerosols A. Damiani et al. 10.5194/acp-22-12705-2022
- The differences between remote sensing and in situ air pollutant measurements over the Canadian oil sands X. Zhao et al. 10.5194/amt-17-6889-2024
- Assessment of environmental consequences of hostilities: Tropospheric NO2 vertical column amounts in the atmosphere over Ukraine in 2019–2022 L. Malytska et al. 10.1016/j.atmosenv.2023.120281
- Monitoring Nitrogen Dioxide Content in the Atmosphere of Cities in Europe and Russia Using Satellite Data A. Tronin et al. 10.1134/S0010952523700739
- Refining Spatial and Temporal XCO2 Characteristics Observed by Orbiting Carbon Observatory-2 and Orbiting Carbon Observatory-3 Using Sentinel-5P Tropospheric Monitoring Instrument NO2 Observations in China K. Guo et al. 10.3390/rs16132456
- Type of Active Learning Implementation in Science Education: A Systematic Review M. Ridani & R. Arianingrum 10.23887/ijerr.v7i2.65623
- Informing Near-Airport Satellite NO2 Retrievals Using Pandora Sky-Scanning Observations A. Mouat et al. 10.1021/acsestair.4c00158
- Maritime sector contributions on NO2 surface concentrations in major ports of the Mediterranean Basin A. Pseftogkas et al. 10.1016/j.apr.2024.102228
- Estimations of NOxemissions, NO2lifetime and their temporal variation over three British urbanised regions in 2019 using TROPOMI NO2observations M. Pommier 10.1039/D2EA00086E
1 citations as recorded by crossref.
Latest update: 30 Dec 2024
Short summary
The COVID-19 lockdown had a large impact on anthropogenic emissions and particularly on nitrogen dioxide (NO2). A new method of isolation of background, urban, and industrial components in NO2 is applied to estimate the lockdown impact on each of them. From 16 March to 15 June 2020, urban NO2 declined by −18 % to −28 % in most regions of the world, while background NO2 typically declined by less than −10 %.
The COVID-19 lockdown had a large impact on anthropogenic emissions and particularly on nitrogen...
Altmetrics
Final-revised paper
Preprint