Articles | Volume 20, issue 17
https://doi.org/10.5194/acp-20-10295-2020
© Author(s) 2020. 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-20-10295-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Quantifying burning efficiency in megacities using the NO2∕CO ratio from the Tropospheric Monitoring Instrument (TROPOMI)
Srijana Lama
CORRESPONDING AUTHOR
Vrije Universiteit, Department of Earth Sciences, Amsterdam, the
Netherlands
Sander Houweling
Vrije Universiteit, Department of Earth Sciences, Amsterdam, the
Netherlands
SRON Netherlands Institute for Space Research, Utrecht, the
Netherlands
K. Folkert Boersma
Wageningen University, Meteorology and Air Quality Group,
Wageningen, the Netherlands
Royal Netherlands Meteorological Institute, R&D Satellite
Observations, de Bilt, the Netherlands
Henk Eskes
Royal Netherlands Meteorological Institute, R&D Satellite
Observations, de Bilt, the Netherlands
Ilse Aben
SRON Netherlands Institute for Space Research, Utrecht, the
Netherlands
Vrije Universiteit, Department of Physics and Astronomy, Amsterdam,
the Netherlands
Hugo A. C. Denier van der Gon
TNO, Department of Climate, Air and Sustainability, Princetonlaan, the
Netherlands
Maarten C. Krol
Wageningen University, Meteorology and Air Quality Group,
Wageningen, the Netherlands
Institute for Marine and Atmospheric Research Utrecht, Utrecht
University, Utrecht, the Netherlands
Han Dolman
Vrije Universiteit, Department of Earth Sciences, Amsterdam, the
Netherlands
Tobias Borsdorff
SRON Netherlands Institute for Space Research, Utrecht, the
Netherlands
Alba Lorente
SRON Netherlands Institute for Space Research, Utrecht, the
Netherlands
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Cited
27 citations as recorded by crossref.
- THE USE OF REMOTE SENSING OF ATMOSPHERIC COMPOSITION FOR BURNING EFFICIENCY ESTIMATION FOR UKRAINIAN TERRITORY V. Rybchynska & M. Savenets 10.17721/2306-5680.2023.2.5
- CHANGES IN ATMOSPHERIC AIR POLLUTION AND FUEL COMBUSTION EFFICIENCY IN UKRAINIAN CITIES DUE TO MILITARY ACTIONS L. Nadtochii et al. 10.15407/Meteorology2023.04.004
- Identification of NO emissions and source characteristics by TROPOMI observations – A case study in north-central Henan, China H. Sheng et al. 10.1016/j.scitotenv.2024.172779
- Detecting nitrogen oxide emissions in Qatar and quantifying emission factors of gas-fired power plants – a 4-year study A. Rey-Pommier et al. 10.5194/acp-23-13565-2023
- Quantifying NOx emissions in Egypt using TROPOMI observations A. Rey-Pommier et al. 10.5194/acp-22-11505-2022
- Evaluating urban methane emissions from space using TROPOMI methane and carbon monoxide observations G. Plant et al. 10.1016/j.rse.2021.112756
- Estimation of OH in urban plumes using TROPOMI-inferred NO2 ∕ CO S. Lama et al. 10.5194/acp-22-16053-2022
- Artificial intelligence‐driven insights: Precision tracking of power plant carbon emissions using satellite data Z. Zhang et al. 10.1049/enc2.12129
- The system for near-real time air pollution monitoring over cities based on the Sentinel-5P satellite data M. Savenets et al. 10.26565/2410-7360-2022-57-15
- Remotely visible impacts on air quality after a year-round full-scale Russian invasion of Ukraine M. Savenets et al. 10.1016/j.apr.2023.101912
- Enhancement of Nighttime Fire Detection and Combustion Efficiency Characterization Using Suomi-NPP and NOAA-20 VIIRS Instruments M. Zhou et al. 10.1109/TGRS.2023.3261664
- Towards sector-based attribution using intra-city variations in satellite-based emission ratios between CO2 and CO D. Wu et al. 10.5194/acp-22-14547-2022
- Atmospheric Trends of CO and CH4 from Extreme Wildfires in Portugal Using Sentinel-5P TROPOMI Level-2 Data C. Magro et al. 10.3390/fire4020025
- Impacts of the COVID-19 Lockdown Measures on the 2020 Columnar and Surface Air Pollution Parameters over South-Eastern Italy S. Romano et al. 10.3390/atmos12101366
- Estimation of biomass burning emission of NO2 and CO from 2019–2020 Australia fires based on satellite observations N. Wan et al. 10.5194/acp-23-711-2023
- TROPOMI NO2 in the United States: A Detailed Look at the Annual Averages, Weekly Cycles, Effects of Temperature, and Correlation With Surface NO2 Concentrations D. Goldberg et al. 10.1029/2020EF001665
- An assessment of China's industrial emission characteristics using satellite observations of XCO2, SO2, and NO2 Y. Fu et al. 10.1016/j.apr.2022.101486
- Neighborhood-Level Nitrogen Dioxide Inequalities Contribute to Surface Ozone Variability in Houston, Texas I. Dressel et al. 10.1021/acsestair.4c00009
- Atmospheric air quality monitoring over the territory of Ukraine with specification over the cities using Sentinel-5P satellite data M. Savenets et al. 10.15407/visn2021.03.050
- Evaluation of the nitrogen oxide emission inventory with TROPOMI observations Y. Chen et al. 10.1016/j.atmosenv.2023.119639
- An assessment of emission characteristics of Northern Hemisphere cities using spaceborne observations of CO2, CO, and NO2 H. Park et al. 10.1016/j.rse.2020.112246
- Role of air stagnation in determining daily average PM2.5 concentrations in areas with significant impact of long-range transport S. Jeong et al. 10.1016/j.apr.2024.102147
- The impact of COVID-19 lockdowns on urban photochemistry as inferred from TROPOMI S. Lama et al. 10.1016/j.atmosenv.2023.120042
- Evaluation of the first year of Pandora NO2 measurements over Beijing and application to satellite validation O. Liu et al. 10.5194/amt-17-377-2024
- Plume detection and emission estimate for biomass burning plumes from TROPOMI carbon monoxide observations using APE v1.1 M. Goudar et al. 10.5194/gmd-16-4835-2023
- Quantification of carbon monoxide emissions from African cities using TROPOMI G. Leguijt et al. 10.5194/acp-23-8899-2023
- Estimating enhancement ratios of nitrogen dioxide, carbon monoxide and carbon dioxide using satellite observations C. MacDonald et al. 10.5194/acp-23-3493-2023
27 citations as recorded by crossref.
- THE USE OF REMOTE SENSING OF ATMOSPHERIC COMPOSITION FOR BURNING EFFICIENCY ESTIMATION FOR UKRAINIAN TERRITORY V. Rybchynska & M. Savenets 10.17721/2306-5680.2023.2.5
- CHANGES IN ATMOSPHERIC AIR POLLUTION AND FUEL COMBUSTION EFFICIENCY IN UKRAINIAN CITIES DUE TO MILITARY ACTIONS L. Nadtochii et al. 10.15407/Meteorology2023.04.004
- Identification of NO emissions and source characteristics by TROPOMI observations – A case study in north-central Henan, China H. Sheng et al. 10.1016/j.scitotenv.2024.172779
- Detecting nitrogen oxide emissions in Qatar and quantifying emission factors of gas-fired power plants – a 4-year study A. Rey-Pommier et al. 10.5194/acp-23-13565-2023
- Quantifying NOx emissions in Egypt using TROPOMI observations A. Rey-Pommier et al. 10.5194/acp-22-11505-2022
- Evaluating urban methane emissions from space using TROPOMI methane and carbon monoxide observations G. Plant et al. 10.1016/j.rse.2021.112756
- Estimation of OH in urban plumes using TROPOMI-inferred NO2 ∕ CO S. Lama et al. 10.5194/acp-22-16053-2022
- Artificial intelligence‐driven insights: Precision tracking of power plant carbon emissions using satellite data Z. Zhang et al. 10.1049/enc2.12129
- The system for near-real time air pollution monitoring over cities based on the Sentinel-5P satellite data M. Savenets et al. 10.26565/2410-7360-2022-57-15
- Remotely visible impacts on air quality after a year-round full-scale Russian invasion of Ukraine M. Savenets et al. 10.1016/j.apr.2023.101912
- Enhancement of Nighttime Fire Detection and Combustion Efficiency Characterization Using Suomi-NPP and NOAA-20 VIIRS Instruments M. Zhou et al. 10.1109/TGRS.2023.3261664
- Towards sector-based attribution using intra-city variations in satellite-based emission ratios between CO2 and CO D. Wu et al. 10.5194/acp-22-14547-2022
- Atmospheric Trends of CO and CH4 from Extreme Wildfires in Portugal Using Sentinel-5P TROPOMI Level-2 Data C. Magro et al. 10.3390/fire4020025
- Impacts of the COVID-19 Lockdown Measures on the 2020 Columnar and Surface Air Pollution Parameters over South-Eastern Italy S. Romano et al. 10.3390/atmos12101366
- Estimation of biomass burning emission of NO2 and CO from 2019–2020 Australia fires based on satellite observations N. Wan et al. 10.5194/acp-23-711-2023
- TROPOMI NO2 in the United States: A Detailed Look at the Annual Averages, Weekly Cycles, Effects of Temperature, and Correlation With Surface NO2 Concentrations D. Goldberg et al. 10.1029/2020EF001665
- An assessment of China's industrial emission characteristics using satellite observations of XCO2, SO2, and NO2 Y. Fu et al. 10.1016/j.apr.2022.101486
- Neighborhood-Level Nitrogen Dioxide Inequalities Contribute to Surface Ozone Variability in Houston, Texas I. Dressel et al. 10.1021/acsestair.4c00009
- Atmospheric air quality monitoring over the territory of Ukraine with specification over the cities using Sentinel-5P satellite data M. Savenets et al. 10.15407/visn2021.03.050
- Evaluation of the nitrogen oxide emission inventory with TROPOMI observations Y. Chen et al. 10.1016/j.atmosenv.2023.119639
- An assessment of emission characteristics of Northern Hemisphere cities using spaceborne observations of CO2, CO, and NO2 H. Park et al. 10.1016/j.rse.2020.112246
- Role of air stagnation in determining daily average PM2.5 concentrations in areas with significant impact of long-range transport S. Jeong et al. 10.1016/j.apr.2024.102147
- The impact of COVID-19 lockdowns on urban photochemistry as inferred from TROPOMI S. Lama et al. 10.1016/j.atmosenv.2023.120042
- Evaluation of the first year of Pandora NO2 measurements over Beijing and application to satellite validation O. Liu et al. 10.5194/amt-17-377-2024
- Plume detection and emission estimate for biomass burning plumes from TROPOMI carbon monoxide observations using APE v1.1 M. Goudar et al. 10.5194/gmd-16-4835-2023
- Quantification of carbon monoxide emissions from African cities using TROPOMI G. Leguijt et al. 10.5194/acp-23-8899-2023
- Estimating enhancement ratios of nitrogen dioxide, carbon monoxide and carbon dioxide using satellite observations C. MacDonald et al. 10.5194/acp-23-3493-2023
Latest update: 08 Nov 2024
Short summary
Rapid urbanization has increased the consumption of fossil fuel, contributing the degradation of urban air quality. Burning efficiency is a major factor determining the impact of fuel burning on the environment. We quantify the burning efficiency of fossil fuel use over six megacities using satellite remote sensing data. City governance can use these results to understand air pollution scenarios and to formulate effective air pollution control strategies.
Rapid urbanization has increased the consumption of fossil fuel, contributing the degradation of...
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