Articles | Volume 20, issue 1
Atmos. Chem. Phys., 20, 499–514, 2020
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.
Atmos. Chem. Phys., 20, 499–514, 2020
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.
Research article
14 Jan 2020
Research article
| 14 Jan 2020
Mitigation of PM2.5 and ozone pollution in Delhi: a sensitivity study during the pre-monsoon period
Ying Chen et al.
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Cited
24 citations as recorded by crossref.
- Quantifying the high resolution seasonal emission of air pollutants from crop residue burning in India S. Sahu et al. 10.1016/j.envpol.2021.117165
- PM2.5 diminution and haze events over Delhi during the COVID-19 lockdown period: an interplay between the baseline pollution and meteorology S. Dhaka et al. 10.1038/s41598-020-70179-8
- 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
- Role of meteorological regime in mitigating biomass induced extreme air pollution events G. Beig et al. 10.1016/j.uclim.2020.100756
- Analysis of various transport modes to evaluate personal exposure to PM2.5 pollution in Delhi K. Maji et al. 10.1016/j.apr.2020.12.003
- 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
- Anomalous behaviour of ozone under COVID-19 and explicit diagnosis of O3-NOx-VOCs mechanism A. Rathod et al. 10.1016/j.heliyon.2021.e06142
- 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
- Unprecedented reduction in air pollution and corresponding short-term premature mortality associated with COVID-19 lockdown in Delhi, India K. Maji et al. 10.1080/10962247.2021.1905104
- 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
- Process based Diagnostics of extreme pollution Trail using Numerical modelling during Fatal second COVID-19 wave in Indian capital G. Beig et al. 10.1016/j.chemosphere.2022.134271
- 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
- Sources of PM2.5 and its responses to emission reduction strategies in the Central Plains Economic Region in China: Implications for the impacts of COVID-19 H. Du et al. 10.1016/j.envpol.2021.117783
- Source apportionment of particulate matter based on numerical simulation during a severe pollution period in Tangshan, North China J. He et al. 10.1016/j.envpol.2020.115133
- Investigating the importance of sub-grid particle formation in point source plumes over eastern China using IAP-AACM v1.0 with a sub-grid parameterization Y. Wei et al. 10.5194/gmd-14-4411-2021
- A study of cross-correlations between PM2.5 and O3 based on Copula and Multifractal methods J. Zhang et al. 10.1016/j.physa.2021.126651
- Ozone sensitivity factor: NOX or NMHCs?: A case study over an urban site in Delhi, India A. Sharma et al. 10.1016/j.uclim.2021.100980
- Investigating the background and local contribution of the oxidants in London and Bangkok M. Khan et al. 10.1039/D0FD00086H
- Using Short‐Term Data to Quickly and Quantitatively Determine Formation Mechanisms of PM 2.5 and Ozone E. Zhao & Y. Kuo 10.1002/clen.202100184
- Did the COVID‐19 lockdown in Delhi and Kolkata improve the ambient air quality of the two cities? A. Datta et al. 10.1002/jeq2.20192
- Association of retreating monsoon and extreme air pollution in a megacity G. Beig et al. 10.1016/j.jes.2021.01.004
24 citations as recorded by crossref.
- Quantifying the high resolution seasonal emission of air pollutants from crop residue burning in India S. Sahu et al. 10.1016/j.envpol.2021.117165
- PM2.5 diminution and haze events over Delhi during the COVID-19 lockdown period: an interplay between the baseline pollution and meteorology S. Dhaka et al. 10.1038/s41598-020-70179-8
- 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
- Role of meteorological regime in mitigating biomass induced extreme air pollution events G. Beig et al. 10.1016/j.uclim.2020.100756
- Analysis of various transport modes to evaluate personal exposure to PM2.5 pollution in Delhi K. Maji et al. 10.1016/j.apr.2020.12.003
- 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
- Anomalous behaviour of ozone under COVID-19 and explicit diagnosis of O3-NOx-VOCs mechanism A. Rathod et al. 10.1016/j.heliyon.2021.e06142
- 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
- Unprecedented reduction in air pollution and corresponding short-term premature mortality associated with COVID-19 lockdown in Delhi, India K. Maji et al. 10.1080/10962247.2021.1905104
- 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
- Process based Diagnostics of extreme pollution Trail using Numerical modelling during Fatal second COVID-19 wave in Indian capital G. Beig et al. 10.1016/j.chemosphere.2022.134271
- 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
- Sources of PM2.5 and its responses to emission reduction strategies in the Central Plains Economic Region in China: Implications for the impacts of COVID-19 H. Du et al. 10.1016/j.envpol.2021.117783
- Source apportionment of particulate matter based on numerical simulation during a severe pollution period in Tangshan, North China J. He et al. 10.1016/j.envpol.2020.115133
- Investigating the importance of sub-grid particle formation in point source plumes over eastern China using IAP-AACM v1.0 with a sub-grid parameterization Y. Wei et al. 10.5194/gmd-14-4411-2021
- A study of cross-correlations between PM2.5 and O3 based on Copula and Multifractal methods J. Zhang et al. 10.1016/j.physa.2021.126651
- Ozone sensitivity factor: NOX or NMHCs?: A case study over an urban site in Delhi, India A. Sharma et al. 10.1016/j.uclim.2021.100980
- Investigating the background and local contribution of the oxidants in London and Bangkok M. Khan et al. 10.1039/D0FD00086H
- Using Short‐Term Data to Quickly and Quantitatively Determine Formation Mechanisms of PM 2.5 and Ozone E. Zhao & Y. Kuo 10.1002/clen.202100184
- Did the COVID‐19 lockdown in Delhi and Kolkata improve the ambient air quality of the two cities? A. Datta et al. 10.1002/jeq2.20192
- Association of retreating monsoon and extreme air pollution in a megacity G. Beig et al. 10.1016/j.jes.2021.01.004
Latest update: 05 Jul 2022
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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