Articles | Volume 21, issue 17
https://doi.org/10.5194/acp-21-13311-2021
© 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-21-13311-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A satellite-data-driven framework to rapidly quantify air-basin-scale NOx emissions and its application to the Po Valley during the COVID-19 pandemic
Department of Civil, Structural and Environmental Engineering, University at Buffalo, Buffalo, NY, USA
Research and Education in Energy, Environment and Water Institute, University at Buffalo, Buffalo, NY, USA
Lingbo Li
Department of Civil, Structural and Environmental Engineering, University at Buffalo, Buffalo, NY, USA
Shruti Jagini
Department of Civil, Structural and Environmental Engineering, University at Buffalo, Buffalo, NY, USA
Department of Earth and Environment, Boston University, Boston, MA, USA
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Cited
14 citations as recorded by crossref.
- Considerable Unaccounted Local Sources of NOx Emissions in China Revealed from Satellite H. Kong et al. 10.1021/acs.est.1c07723
- The Apple Mobility Trends Data in Human Mobility Patterns during Restrictions and Prediction of COVID-19: A Systematic Review and Meta-Analysis A. Strzelecki 10.3390/healthcare10122425
- Diurnal NO emission underestimation constrained using overlapping TROPOMI swaths Q. He et al. 10.1016/j.atmosenv.2025.121354
- Estimating the effect of the COVID-19 pandemic on pollutant emissions in Europe A. Rodríguez-Sánchez et al. 10.1016/j.apr.2022.101388
- Nitrogen oxides emissions from selected cities in North America, Europe, and East Asia observed by the TROPOspheric Monitoring Instrument (TROPOMI) before and after the COVID-19 pandemic C. Lonsdale & K. Sun 10.5194/acp-23-8727-2023
- Evaluating the spatial patterns of U.S. urban NOx emissions using TROPOMI NO2 D. Goldberg et al. 10.1016/j.rse.2023.113917
- Derivation of Emissions From Satellite‐Observed Column Amounts and Its Application to TROPOMI NO2 and CO Observations K. Sun 10.1029/2022GL101102
- Evaluating NOx emissions and their effect on O3 production in Texas using TROPOMI NO2 and HCHO D. Goldberg et al. 10.5194/acp-22-10875-2022
- Estimation of NO2 emission strengths over Riyadh and Madrid from space from a combination of wind-assigned anomalies and a machine learning technique Q. Tu et al. 10.5194/amt-16-2237-2023
- Attribution of observed extreme marine wind speeds and associated hazards to midlatitude cyclone conveyor belt jets near the British Isles E. Gentile & S. Gray 10.1002/joc.7999
- Unraveling pathways of elevated ozone induced by the 2020 lockdown in Europe by an observationally constrained regional model using TROPOMI A. Souri et al. 10.5194/acp-21-18227-2021
- Fine particulate matter pollution in the Sichuan Basin of China from 2013 to 2020: Sources, emissions, and mortality burden X. Yang et al. 10.1016/j.envint.2025.109366
- Identification of NOx hotspots from oversampled TROPOMI NO2 column based on image segmentation method K. Wang et al. 10.1016/j.scitotenv.2021.150007
- Study on the air pollution and economic growth in the work resumption of the COVID-19 Q. Wang & L. Liu 10.1007/s10668-024-05858-x
13 citations as recorded by crossref.
- Considerable Unaccounted Local Sources of NOx Emissions in China Revealed from Satellite H. Kong et al. 10.1021/acs.est.1c07723
- The Apple Mobility Trends Data in Human Mobility Patterns during Restrictions and Prediction of COVID-19: A Systematic Review and Meta-Analysis A. Strzelecki 10.3390/healthcare10122425
- Diurnal NO emission underestimation constrained using overlapping TROPOMI swaths Q. He et al. 10.1016/j.atmosenv.2025.121354
- Estimating the effect of the COVID-19 pandemic on pollutant emissions in Europe A. Rodríguez-Sánchez et al. 10.1016/j.apr.2022.101388
- Nitrogen oxides emissions from selected cities in North America, Europe, and East Asia observed by the TROPOspheric Monitoring Instrument (TROPOMI) before and after the COVID-19 pandemic C. Lonsdale & K. Sun 10.5194/acp-23-8727-2023
- Evaluating the spatial patterns of U.S. urban NOx emissions using TROPOMI NO2 D. Goldberg et al. 10.1016/j.rse.2023.113917
- Derivation of Emissions From Satellite‐Observed Column Amounts and Its Application to TROPOMI NO2 and CO Observations K. Sun 10.1029/2022GL101102
- Evaluating NOx emissions and their effect on O3 production in Texas using TROPOMI NO2 and HCHO D. Goldberg et al. 10.5194/acp-22-10875-2022
- Estimation of NO2 emission strengths over Riyadh and Madrid from space from a combination of wind-assigned anomalies and a machine learning technique Q. Tu et al. 10.5194/amt-16-2237-2023
- Attribution of observed extreme marine wind speeds and associated hazards to midlatitude cyclone conveyor belt jets near the British Isles E. Gentile & S. Gray 10.1002/joc.7999
- Unraveling pathways of elevated ozone induced by the 2020 lockdown in Europe by an observationally constrained regional model using TROPOMI A. Souri et al. 10.5194/acp-21-18227-2021
- Fine particulate matter pollution in the Sichuan Basin of China from 2013 to 2020: Sources, emissions, and mortality burden X. Yang et al. 10.1016/j.envint.2025.109366
- Identification of NOx hotspots from oversampled TROPOMI NO2 column based on image segmentation method K. Wang et al. 10.1016/j.scitotenv.2021.150007
1 citations as recorded by crossref.
Latest update: 29 Jun 2025
Short summary
We bridge the gap between satellite column observations and emissions by accounting for the dynamic lifetime of pollutants due to wind dispersion and the chemical lifetime due to chemical reactions. Applying it to the Po Valley air basin, we derive the monthly emissions of nitrogen oxides using satellite nitrogen dioxide observations. We further quantify the COVID-19-driven decline of emissions and estimate a 22 % decrease in nitrogen oxide emissions due to the pandemic in 2020.
We bridge the gap between satellite column observations and emissions by accounting for the...
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