Articles | Volume 20, issue 1
https://doi.org/10.5194/acp-20-499-2020
© 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-20-499-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Mitigation of PM2.5 and ozone pollution in Delhi: a sensitivity study during the pre-monsoon period
Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK
Data Science Institute, Lancaster University, Lancaster, LA1 4YW, UK
Oliver Wild
Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK
Data Science Institute, Lancaster University, Lancaster, LA1 4YW, UK
Edmund Ryan
Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK
Department of Mathematics, University of Manchester, Manchester, M13 9PL, UK
Saroj Kumar Sahu
Environmental Science, Department of Botany, Utkal University, Bhubaneswar, India
Douglas Lowe
Centre for Atmospheric Sciences, School of Earth, Atmospheric and
Environmental Sciences, University of Manchester, Manchester, M13 9PL, UK
Scott Archer-Nicholls
NCAS Climate, Department of Chemistry, University of Cambridge,
Cambridge, CB2 1EW, UK
Centre for Atmospheric Sciences, School of Earth, Atmospheric and
Environmental Sciences, University of Manchester, Manchester, M13 9PL, UK
Gordon McFiggans
Centre for Atmospheric Sciences, School of Earth, Atmospheric and
Environmental Sciences, University of Manchester, Manchester, M13 9PL, UK
Tabish Ansari
Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK
Vikas Singh
National Atmospheric Research Laboratory, Gadanki, Andhra Pradesh, India
Ranjeet S. Sokhi
Centre for Atmospheric and Climate Physics Research, University of
Hertfordshire, Hatfield, Hertfordshire, UK
Alex Archibald
NCAS Climate, Department of Chemistry, University of Cambridge,
Cambridge, CB2 1EW, UK
Gufran Beig
Indian Institute of Tropical Meteorology, Pune, India
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- Sensitivity of Air Pollution Exposure and Disease Burden to Emission Changes in China Using Machine Learning Emulation L. Conibear et al. 10.1029/2021GH000570
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- Temporary reduction in fine particulate matter due to ‘anthropogenic emissions switch-off’ during COVID-19 lockdown in Indian cities P. Kumar et al. 10.1016/j.scs.2020.102382
- India’s Maiden air quality forecasting framework for megacities of divergent environments: The SAFAR-project G. Beig et al. 10.1016/j.envsoft.2021.105204
- Variability in air quality, ozone formation potential by VOCs, and associated air pollution attributable health risks for Delhi's inhabitants S. Sharma et al. 10.1039/D4EA00064A
- Avoiding high ozone pollution in Delhi, India Y. Chen et al. 10.1039/D0FD00079E
- Regional pollution loading in winter months over India using high resolution WRF-Chem simulation R. Jat et al. 10.1016/j.atmosres.2020.105326
- Multi-scale analysis of the chemical and physical pollution evolution process from pre-co-pollution day to PM2.5 and O3 co-pollution day F. Wang et al. 10.1016/j.scitotenv.2024.173729
- Fractal analysis of impact of PM2.5 on surface O3 sensitivity regime based on field observations C. Liu et al. 10.1016/j.scitotenv.2022.160136
- Temporally resolved sectoral and regional contributions to air pollution in Beijing: informing short-term emission controls T. Ansari et al. 10.5194/acp-21-4471-2021
- On the transition of major pollutant and O3 production regime during Covid-19 lockdowns L. R et al. 10.1016/j.jenvman.2022.116907
- Health risk assessment of workers’ exposure to BTEX and PM during refueling in an urban fuel station S. Jayaraj & S. Shiva Nagendra 10.1007/s10661-023-12130-8
- Relationship between summertime concurring PM2.5 and O3 pollution and boundary layer height differs between Beijing and Shanghai, China Y. Miao et al. 10.1016/j.envpol.2020.115775
- COVID-19 lockdown and air quality of SAFAR-India metro cities R. Yadav et al. 10.1016/j.uclim.2020.100729
- Statistical Emulation of Winter Ambient Fine Particulate Matter Concentrations From Emission Changes in China L. Conibear et al. 10.1029/2021GH000391
- Impact of electric and clean-fuel vehicles on future PM2.5 and ozone pollution over Delhi C. Mogno et al. 10.1088/2515-7620/ad507f
- Insight Study of Trace Elements in PM2.5 During Nine Years in Delhi, India: Seasonal Variation, Source Apportionment, and Health Risks Assessment S. Gupta et al. 10.1007/s00244-024-01070-0
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- Exacerbation of Fatality Rates Induced by Poor Air Quality Due to Open-Air Mass Funeral Pyre Cremation during the Second Wave of COVID-19 M. Manoj et al. 10.3390/toxics10060306
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- Sensitivity of Air Pollution Exposure and Disease Burden to Emission Changes in China Using Machine Learning Emulation L. Conibear et al. 10.1029/2021GH000570
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Latest update: 16 Aug 2024
Short summary
PM2.5 and O3 are two major air pollutants. Some mitigation strategies focusing on reducing PM2.5 may lead to substantial increase in O3. We use statistical emulation combined with atmospheric transport model to perform thousands of sensitivity numerical studies to identify the major sources of PM2.5 and O3 and to develop strategies targeted at both pollutants. Our scientific evidence suggests that regional coordinated emission control is required to mitigate PM2.5 whilst preventing O3 increase.
PM2.5 and O3 are two major air pollutants. Some mitigation strategies focusing on reducing PM2.5...
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