Articles | Volume 19, issue 6
https://doi.org/10.5194/acp-19-3433-2019
© Author(s) 2019. 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-19-3433-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
What caused the extreme CO concentrations during the 2017 high-pollution episode in India?
Iris N. Dekker
CORRESPONDING AUTHOR
SRON Netherlands Institute for Space Research, Utrecht, 3584 CC, the Netherlands
Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, 3584 CA, the Netherlands
Sander Houweling
SRON Netherlands Institute for Space Research, Utrecht, 3584 CC, the Netherlands
Department of Earth Sciences, Vrije Universiteit Amsterdam, Amsterdam, 1081 HV, the Netherlands
Sudhanshu Pandey
SRON Netherlands Institute for Space Research, Utrecht, 3584 CC, the Netherlands
Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, 3584 CA, the Netherlands
Department of Earth Sciences, Vrije Universiteit Amsterdam, Amsterdam, 1081 HV, the Netherlands
Maarten Krol
SRON Netherlands Institute for Space Research, Utrecht, 3584 CC, the Netherlands
Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, 3584 CA, the Netherlands
Department of Meteorology and Air Quality, Wageningen University and Research Centre, Wageningen, 6708 PB, the Netherlands
Thomas Röckmann
Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, 3584 CA, the Netherlands
Tobias Borsdorff
SRON Netherlands Institute for Space Research, Utrecht, 3584 CC, the Netherlands
Jochen Landgraf
SRON Netherlands Institute for Space Research, Utrecht, 3584 CC, the Netherlands
Ilse Aben
SRON Netherlands Institute for Space Research, Utrecht, 3584 CC, the Netherlands
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Cited
26 citations as recorded by crossref.
- The impact of COVID-19 lockdowns on urban photochemistry as inferred from TROPOMI S. Lama et al. 10.1016/j.atmosenv.2023.120042
- Using TROPOspheric Monitoring Instrument (TROPOMI) measurements and Weather Research and Forecasting (WRF) CO modelling to understand the contribution of meteorology and emissions to an extreme air pollution event in India A. Vellalassery et al. 10.5194/acp-21-5393-2021
- A database of aircraft measurements of carbon monoxide (CO) with high temporal and spatial resolution during 2011–2021 C. Xue et al. 10.5194/essd-15-4553-2023
- Monitoring CO emissions of the metropolis Mexico City using TROPOMI CO observations T. Borsdorff et al. 10.5194/acp-20-15761-2020
- TCCON and NDACC X<sub>CO</sub> measurements: difference, discussion and application M. Zhou et al. 10.5194/amt-12-5979-2019
- TROPOMI unravels transboundary transport pathways of atmospheric carbon monoxide in Tibetan Plateau P. Lin et al. 10.1016/j.scitotenv.2024.175942
- Atmospheric inverse estimates of CO emissions from Zhengzhou, China H. Fan et al. 10.1016/j.envpol.2020.115164
- Improving regional air quality predictions in the Indo-Gangetic Plain – case study of an intensive pollution episode in November 2017 B. Roozitalab et al. 10.5194/acp-21-2837-2021
- Synergistic observation of FY-4A&4B to estimate CO concentration in China: combining interpretable machine learning to reveal the influencing mechanisms of CO variations B. Chen et al. 10.1038/s41612-023-00559-0
- Observational Evidence of Large Contribution from Primary Sources for Carbon Monoxide in the South Asian Outflow S. Dasari et al. 10.1021/acs.est.1c05486
- Analysis of CO<sub>2</sub>, CH<sub>4</sub>, and CO surface and column concentrations observed at Réunion Island by assessing WRF-Chem simulations S. Callewaert et al. 10.5194/acp-22-7763-2022
- Quantifying the dominant sources influencing the 2016 particulate matter pollution episode over northern India P. Agarwal et al. 10.1039/D3EA00174A
- Variation of carbon monoxide at a suburban site in the Indo-Gangetic Plain: Influence of long-range transport from crop residue burning region S. Kumari et al. 10.1016/j.apr.2021.101166
- Air Pollution Patterns Mapping of SO2, NO2, and CO Derived from TROPOMI over Central-East Europe B. Wieczorek 10.3390/rs15061565
- Evaluation of WRF-Chem-simulated meteorology and aerosols over northern India during the severe pollution episode of 2016 P. Agarwal et al. 10.5194/acp-24-2239-2024
- Source attribution of carbon monoxide over Northern India during crop residue burning period over Punjab A. Sharma et al. 10.1016/j.envpol.2024.124707
- Post-monsoon air quality degradation across Northern India: assessing the impact of policy-related shifts in timing and amount of crop residue burnt H. Sembhi et al. 10.1088/1748-9326/aba714
- Biomass-burning sources control ambient particulate matter, but traffic and industrial sources control volatile organic compound (VOC) emissions and secondary-pollutant formation during extreme pollution events in Delhi A. Awasthi et al. 10.5194/acp-24-10279-2024
- Source apportionment of volatile organic compounds during paddy-residue burning season in north-west India reveals large pool of photochemically formed air toxics R. Singh et al. 10.1016/j.envpol.2023.122656
- An evaluation of advanced baseline imager fire radiative power based wildfire emissions using carbon monoxide observed by the Tropospheric Monitoring Instrument across the conterminous United States F. Li et al. 10.1088/1748-9326/ab9d3a
- Quantification of carbon monoxide emissions from African cities using TROPOMI G. Leguijt et al. 10.5194/acp-23-8899-2023
- Satellite Observations Reveal a Large CO Emission Discrepancy From Industrial Point Sources Over China Y. Tian et al. 10.1029/2021GL097312
- Investigating the Performance of Carbon Monoxide and Methane Observations from Sentinel-5 Precursor in China Y. Tian et al. 10.3390/rs14236045
- A real-time assessment of hazardous atmospheric pollutants across cities in China and India S. Rahaman et al. 10.1016/j.jhazmat.2024.135711
- Crop residue burning practices across north India inferred from household survey data: Bridging gaps in satellite observations T. Liu et al. 10.1016/j.aeaoa.2020.100091
- Carbon monoxide air pollution on sub-city scales and along arterial roads detected by the Tropospheric Monitoring Instrument T. Borsdorff et al. 10.5194/acp-19-3579-2019
25 citations as recorded by crossref.
- The impact of COVID-19 lockdowns on urban photochemistry as inferred from TROPOMI S. Lama et al. 10.1016/j.atmosenv.2023.120042
- Using TROPOspheric Monitoring Instrument (TROPOMI) measurements and Weather Research and Forecasting (WRF) CO modelling to understand the contribution of meteorology and emissions to an extreme air pollution event in India A. Vellalassery et al. 10.5194/acp-21-5393-2021
- A database of aircraft measurements of carbon monoxide (CO) with high temporal and spatial resolution during 2011–2021 C. Xue et al. 10.5194/essd-15-4553-2023
- Monitoring CO emissions of the metropolis Mexico City using TROPOMI CO observations T. Borsdorff et al. 10.5194/acp-20-15761-2020
- TCCON and NDACC X<sub>CO</sub> measurements: difference, discussion and application M. Zhou et al. 10.5194/amt-12-5979-2019
- TROPOMI unravels transboundary transport pathways of atmospheric carbon monoxide in Tibetan Plateau P. Lin et al. 10.1016/j.scitotenv.2024.175942
- Atmospheric inverse estimates of CO emissions from Zhengzhou, China H. Fan et al. 10.1016/j.envpol.2020.115164
- Improving regional air quality predictions in the Indo-Gangetic Plain – case study of an intensive pollution episode in November 2017 B. Roozitalab et al. 10.5194/acp-21-2837-2021
- Synergistic observation of FY-4A&4B to estimate CO concentration in China: combining interpretable machine learning to reveal the influencing mechanisms of CO variations B. Chen et al. 10.1038/s41612-023-00559-0
- Observational Evidence of Large Contribution from Primary Sources for Carbon Monoxide in the South Asian Outflow S. Dasari et al. 10.1021/acs.est.1c05486
- Analysis of CO<sub>2</sub>, CH<sub>4</sub>, and CO surface and column concentrations observed at Réunion Island by assessing WRF-Chem simulations S. Callewaert et al. 10.5194/acp-22-7763-2022
- Quantifying the dominant sources influencing the 2016 particulate matter pollution episode over northern India P. Agarwal et al. 10.1039/D3EA00174A
- Variation of carbon monoxide at a suburban site in the Indo-Gangetic Plain: Influence of long-range transport from crop residue burning region S. Kumari et al. 10.1016/j.apr.2021.101166
- Air Pollution Patterns Mapping of SO2, NO2, and CO Derived from TROPOMI over Central-East Europe B. Wieczorek 10.3390/rs15061565
- Evaluation of WRF-Chem-simulated meteorology and aerosols over northern India during the severe pollution episode of 2016 P. Agarwal et al. 10.5194/acp-24-2239-2024
- Source attribution of carbon monoxide over Northern India during crop residue burning period over Punjab A. Sharma et al. 10.1016/j.envpol.2024.124707
- Post-monsoon air quality degradation across Northern India: assessing the impact of policy-related shifts in timing and amount of crop residue burnt H. Sembhi et al. 10.1088/1748-9326/aba714
- Biomass-burning sources control ambient particulate matter, but traffic and industrial sources control volatile organic compound (VOC) emissions and secondary-pollutant formation during extreme pollution events in Delhi A. Awasthi et al. 10.5194/acp-24-10279-2024
- Source apportionment of volatile organic compounds during paddy-residue burning season in north-west India reveals large pool of photochemically formed air toxics R. Singh et al. 10.1016/j.envpol.2023.122656
- An evaluation of advanced baseline imager fire radiative power based wildfire emissions using carbon monoxide observed by the Tropospheric Monitoring Instrument across the conterminous United States F. Li et al. 10.1088/1748-9326/ab9d3a
- Quantification of carbon monoxide emissions from African cities using TROPOMI G. Leguijt et al. 10.5194/acp-23-8899-2023
- Satellite Observations Reveal a Large CO Emission Discrepancy From Industrial Point Sources Over China Y. Tian et al. 10.1029/2021GL097312
- Investigating the Performance of Carbon Monoxide and Methane Observations from Sentinel-5 Precursor in China Y. Tian et al. 10.3390/rs14236045
- A real-time assessment of hazardous atmospheric pollutants across cities in China and India S. Rahaman et al. 10.1016/j.jhazmat.2024.135711
- Crop residue burning practices across north India inferred from household survey data: Bridging gaps in satellite observations T. Liu et al. 10.1016/j.aeaoa.2020.100091
Latest update: 23 Nov 2024
Short summary
During November 2017, very high pollution levels were measured in the northern part of India. In this study, satellite (TROPOMI) data and model (WRF) data on carbon monoxide (CO) are studied to investigate the main sources of the CO pollution over the Indo-Gangetic Plain. We found that residential and commercial combustion was a much more important source of CO than the post-monsoon crop burning during this period. Meteorology was found important in the accumulation and ventilation of CO.
During November 2017, very high pollution levels were measured in the northern part of India. In...
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