Articles | Volume 21, issue 6
https://doi.org/10.5194/acp-21-5235-2021
© Author(s) 2021. 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-21-5235-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
01 Apr 2021
Research article |
| 01 Apr 2021
| 01 Apr 2021
COVID-19 lockdown-induced changes in NO2 levels across India observed by multi-satellite and surface observations
Akash Biswal
National Atmospheric Research Laboratory, Gadanki, AP, India
Department of Environment Studies, Panjab University, Chandigarh 160014,
India
National Atmospheric Research Laboratory, Gadanki, AP, India
Shweta Singh
National Atmospheric Research Laboratory, Gadanki, AP, India
Amit P. Kesarkar
National Atmospheric Research Laboratory, Gadanki, AP, India
Khaiwal Ravindra
Department of Community Medicine and School of Public Health, Post
Graduate Institute of Medical Education and Research (PGIMER), Chandigarh
160012, India
Ranjeet S. Sokhi
Centre for Atmospheric and Climate Physics Research (CACP), University of
Hertfordshire, Hatfield, UK
Martyn P. Chipperfield
School of Earth and Environment, University of Leeds, Leeds, UK
National Centre for Earth Observation, University of Leeds, Leeds, UK
Sandip S. Dhomse
School of Earth and Environment, University of Leeds, Leeds, UK
National Centre for Earth Observation, University of Leeds, Leeds, UK
Richard J. Pope
School of Earth and Environment, University of Leeds, Leeds, UK
National Centre for Earth Observation, University of Leeds, Leeds, UK
Tanbir Singh
Department of Environment Studies, Panjab University, Chandigarh 160014,
India
Suman Mor
Department of Environment Studies, Panjab University, Chandigarh 160014,
India
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Cited
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- Evolution of Pollution Levels from COVID-19 Lockdown to Post-Lockdown over India B. Tyagi et al. 10.3390/toxics10110653
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- Analyzing the Contribution of Human Mobility to Changes in Air Pollutants: Insights from the COVID-19 Lockdown in Wuhan J. Wu et al. 10.3390/ijgi10120836
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- Spatiotemporal neural network for estimating surface NO2 concentrations over north China and their human health impact C. Zhang et al. 10.1016/j.envpol.2022.119510
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36 citations as recorded by crossref.
- Determination of the human impact on the drop in NO2 air pollution due to total COVID-19 lockdown using Human-Influenced Air Pollution Decrease Index (HIAPDI) K. Kovács 10.1016/j.envpol.2022.119441
- Measurement report: An assessment of the impact of a nationwide lockdown on air pollution – a remote sensing perspective over India M. Pathakoti et al. 10.5194/acp-21-9047-2021
- Long-Term Impacts of COVID-19 Lockdown on the NO2 Concentrations and Urban Thermal Environment: Evidence from the Five Largest Urban Agglomerations in China N. Zhang et al. 10.3390/rs14040921
- Global fine-scale changes in ambient NO2 during COVID-19 lockdowns M. Cooper et al. 10.1038/s41586-021-04229-0
- Spatial variability of trace gases (NO2, O3 and CO) over Indian region during 2020 and 2021 COVID-19 lockdowns V. Vignesh et al. 10.1007/s10661-023-11318-2
- An improved understanding of NOx emissions in South Asian megacities using TROPOMI NO2 retrievals B. de Foy & J. Schauer 10.1088/1748-9326/ac48b4
- Tracing out the effect of transportation infrastructure on NO2 concentration levels with Kernel Density Estimation by investigating successive COVID-19-induced lockdowns K. Kovács & I. Haidu 10.1016/j.envpol.2022.119719
- Impacts of exposure to air pollution, radon and climate drivers on the COVID-19 pandemic in Bucharest, Romania: A time series study M. Zoran et al. 10.1016/j.envres.2022.113437
- Assessment of Lockdown Effectiveness during COVID-19 Pandemic Using Air Pollution Data in Armenia in March–June 2019 and 2020: A Cross-Sectional Study A. Sargsyan et al. 10.3390/atmos13101563
- COVID-19 Lockdown in Israel: The Environmental Effect on Ultrafine Particle Content in the Airway E. Fireman Klein et al. 10.3390/ijerph19095507
- Spatiotemporal analysis of the link between VCD trop NO 2 and population size for provinces in Sumatra Island during 2012-2020 M. Rendana et al. 10.1080/26395940.2023.2298570
- Evolution of Pollution Levels from COVID-19 Lockdown to Post-Lockdown over India B. Tyagi et al. 10.3390/toxics10110653
- Variations of Urban NO2 Pollution during the COVID-19 Outbreak and Post-Epidemic Era in China: A Synthesis of Remote Sensing and In Situ Measurements C. Zhao et al. 10.3390/rs14020419
- Elucidating the impacts of COVID-19 lockdown on air quality and ozone chemical characteristics in India B. Roozitalab et al. 10.1039/D2EA00023G
- An improved TROPOMI tropospheric NO<sub>2</sub> research product over Europe S. Liu et al. 10.5194/amt-14-7297-2021
- Integrated process analysis retrieval of changes in ground-level ozone and fine particulate matter during the COVID-19 outbreak in the coastal city of Kannur, India F. Ye et al. 10.1016/j.envpol.2022.119468
- Understanding seasonal variation in ambient air quality and its relationship with crop residue burning activities in an agrarian state of India S. Mor et al. 10.1007/s11356-021-15631-6
- A global observational analysis to understand changes in air quality during exceptionally low anthropogenic emission conditions R. Sokhi et al. 10.1016/j.envint.2021.106818
- Changes in global air pollutant emissions during the COVID-19 pandemic: a dataset for atmospheric modeling T. Doumbia et al. 10.5194/essd-13-4191-2021
- Impact of lockdown on air quality in Belgrade during COVID-19 pandemic B. Vucicevic et al. 10.2298/TSCI230706212V
- Changing air pollution and CO2 emissions during the COVID-19 pandemic: Lesson learned and future equity concerns of post-COVID recovery J. Alava & G. Singh 10.1016/j.envsci.2022.01.006
- Spatiotemporal distribution of air pollutants during a heat wave–induced forest fire event in Uttarakhand A. Sharma et al. 10.1007/s11356-023-29906-7
- Influence of meteorological parameters and air pollutants on the airborne pollen of city Chandigarh, India K. Ravindra et al. 10.1016/j.scitotenv.2021.151829
- Modeling NO2 air pollution variation during and after COVID-19-regulation using principal component analysis of satellite imagery K. Kovács & I. Haidu 10.1016/j.envpol.2023.122973
- Analyzing the Contribution of Human Mobility to Changes in Air Pollutants: Insights from the COVID-19 Lockdown in Wuhan J. Wu et al. 10.3390/ijgi10120836
- COVID-19 pandemic: What can we learn for better air quality and human health? K. Ravindra et al. 10.1016/j.jiph.2021.12.001
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- The Impact of COVID-19 Lockdowns on Air Quality—A Global Review A. Addas & A. Maghrabi 10.3390/su131810212
- Satellite observations showed a negligible reduction in NO2 pollution due to COVID-19 lockdown over Poland E. Ugboma et al. 10.3389/fenvs.2023.1172753
- Environmental impact of COVID-19 led lockdown: A satellite data-based assessment of air quality in Indian megacities S. Prakash et al. 10.1016/j.uclim.2021.100900
- Cumulative effects of air pollution and climate drivers on COVID-19 multiwaves in Bucharest, Romania M. Zoran et al. 10.1016/j.psep.2022.08.042
- Assessment of NO2 concentrations over industrial state Jharkhand, at the time frame of pre, concurrent, and post-COVID-19 lockdown along with the meteorological behaviour: an overview from satellite and ground approaches S. Priya & J. Iqbal 10.1007/s11356-023-27236-2
- Impact of the COVID-19 pandemic related to lockdown measures on tropospheric NO<sub>2</sub> columns over Île-de-France A. Pazmiño et al. 10.5194/acp-21-18303-2021
- Impact of COVID‐19 Pandemic Lockdown in Ambient Concentrations of Aromatic Volatile Organic Compounds in a Metropolitan City of Western India L. Sahu et al. 10.1029/2022JD036628
- Spatiotemporal neural network for estimating surface NO2 concentrations over north China and their human health impact C. Zhang et al. 10.1016/j.envpol.2022.119510
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Latest update: 19 Apr 2024
Short summary
Satellite and surface observations show a reduction in NO2 levels over India during the lockdown compared to business-as-usual years. A substantial reduction, proportional to the population, was observed over the urban areas. The changes in NO2 levels at the surface during the lockdown appear to be present in the satellite observations. However, TROPOMI showed a better correlation with surface NO2 and was more sensitive to the changes than OMI because of the finer resolution.
Satellite and surface observations show a reduction in NO2 levels over India during the lockdown...
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