Articles | Volume 14, issue 19
https://doi.org/10.5194/acp-14-10619-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-14-10619-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Oct 2014
Research article |
| 09 Oct 2014
Air quality in Delhi during the Commonwealth Games
P. Marrapu
Department of Chemical and Biochemical Engineering, University of Iowa, Iowa city, USA
Center for Global and Regional Environmental Research, University of Iowa, Iowa city, USA
Center for Global and Regional Environmental Research, University of Iowa, Iowa city, USA
Multiphase Chemistry Department, Max Planck Institute Chemistry, Hahn-Meitner-Weg 1, Mainz, Germany
G. Beig
Indian Institute of Tropical Meteorology (Ministry of Earth Sciences, Govt. of India) Dr. Homi Bhabha Road, Pashan, Pune, India
S. Sahu
Forschungszentrum Julich Gmbh, IEk-8:Troposphere, 52425 Julich, Germany
R. Srinivas
Indian Institute of Tropical Meteorology (Ministry of Earth Sciences, Govt. of India) Dr. Homi Bhabha Road, Pashan, Pune, India
G. R. Carmichael
Department of Chemical and Biochemical Engineering, University of Iowa, Iowa city, USA
Center for Global and Regional Environmental Research, University of Iowa, Iowa city, USA
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Cited
38 citations as recorded by crossref.
- Air pollution trend in Chandigarh during 2019–2022: status and influence of meteorological factors D. Dalai et al. https://doi.org/10.1007/s10661-024-12321-x
- The micro-environmental impact of volatile organic compound emissions from large-scale assemblies of people in a confined space T. Dutta et al. https://doi.org/10.1016/j.envres.2016.08.009
- Local characteristics of and exposure to fine particulate matter (PM2.5) in four indian megacities Y. Chen et al. https://doi.org/10.1016/j.aeaoa.2019.100052
- Improving regional air quality predictions in the Indo-Gangetic Plain – case study of an intensive pollution episode in November 2017 B. Roozitalab et al. https://doi.org/10.5194/acp-21-2837-2021
- Mitigation of PM2.5 and ozone pollution in Delhi: a sensitivity study during the pre-monsoon period Y. Chen et al. https://doi.org/10.5194/acp-20-499-2020
- Re-suspension of road dust: contribution, assessment and control through dust suppressants—a review S. Gulia et al. https://doi.org/10.1007/s13762-018-2001-7
- Regional pollution loading in winter months over India using high resolution WRF-Chem simulation R. Jat et al. https://doi.org/10.1016/j.atmosres.2020.105326
- Modelling of sectoral emissions of short-lived and long-lived climate pollutants under various control technological strategies M. Arif et al. https://doi.org/10.1016/j.scitotenv.2019.134358
- Assessment of Aerosol Mechanisms and Aerosol Meteorology Feedback over an Urban Airshed in India Using a Chemical Transport Model M. Gupta & M. Mohan https://doi.org/10.3390/atmos12111417
- Ambient air pollution exposures and alterations in health biomarkers: evidence from a prospective observational study J. Nath et al. https://doi.org/10.1007/s11869-025-01806-4
- Ambient PM10-linked clustering of indian cities by club convergence algorithm D. Majumdar https://doi.org/10.1007/s44288-026-00484-8
- Sources of black carbon aerosols in South Asia and surrounding regions during the Integrated Campaign for Aerosols, Gases and Radiation Budget (ICARB) R. Kumar et al. https://doi.org/10.5194/acp-15-5415-2015
- Triple dip La-Nina, unorthodox circulation and unusual spin in air quality of India G. Beig et al. https://doi.org/10.1016/j.scitotenv.2024.170963
- Current and Future Disease Burden From Ambient Ozone Exposure in India L. Conibear et al. https://doi.org/10.1029/2018GH000168
- Modeling PM2.5 During Severe Atmospheric Pollution Episode in Lagos, Nigeria: Spatiotemporal Variations, Source Apportionment, and Meteorological Influences I. Sulaymon et al. https://doi.org/10.1029/2022JD038360
- Trends of leading pollutant in a highly polluted global city: processes involved L. Radhadevi et al. https://doi.org/10.1007/s10661-025-14243-8
- Interstate transport of carbon monoxide and black carbon over India P. Bhardwaj et al. https://doi.org/10.1016/j.atmosenv.2021.118268
- Significant Climate Impact of Highly Hygroscopic Atmospheric Aerosols in Delhi, India Y. Wang & Y. Chen https://doi.org/10.1029/2019GL082339
- India’s Maiden air quality forecasting framework for megacities of divergent environments: The SAFAR-project G. Beig et al. https://doi.org/10.1016/j.envsoft.2021.105204
- Evaluation of coarse and fine particles in diverse Indian environments K. George et al. https://doi.org/10.1007/s11356-016-8049-3
- Managing future air quality in megacities: Co-benefit assessment for Delhi A. Bhanarkar et al. https://doi.org/10.1016/j.atmosenv.2018.05.026
- The Impact of Hospitality on Air Quality at a Major Sporting Event W. Acton et al. https://doi.org/10.1021/acsestair.5c00142
- The impact of power generation emissions on ambient PM2.5 pollution and human health in China and India M. Gao et al. https://doi.org/10.1016/j.envint.2018.09.015
- Air quality in megacity Delhi affected by countryside biomass burning S. Bikkina et al. https://doi.org/10.1038/s41893-019-0219-0
- Numerical simulations of different sectoral contributions to post monsoon pollution over Delhi T. Mukherjee et al. https://doi.org/10.1016/j.heliyon.2020.e03548
- Variability of Fine Particulate Matter (PM2.5) and its Association with Health and Vehicular Emissions Over an Urban Tropical Coastal Station Mumbai, India A. Barudgar et al. https://doi.org/10.1007/s41208-022-00442-4
- Anatomy of the winter 2017 air quality emergency in Delhi G. Beig et al. https://doi.org/10.1016/j.scitotenv.2019.04.347
- Significant change in air quality parameters during the year 2020 over 1st smart city of India: Bhubaneswar S. Sahu et al. https://doi.org/10.1007/s42452-020-03831-7
- Wintertime source apportionment of PM2.5 pollution in million plus population cities of India using WRF-Chem simulation R. Jat et al. https://doi.org/10.1007/s40808-024-02119-8
- Utilisation of local emission inventory data for forecasting PM10 using the WRF-Chem model in the Bandung Basin P. Kombara et al. https://doi.org/10.1071/ES23026
- Year-long simulation of gaseous and particulate air pollutants in India S. Kota et al. https://doi.org/10.1016/j.atmosenv.2018.03.003
- COVID-19 lockdown impact on air quality and associated health benefit in two contrasting urban cities in Eastern Indo Gangetic Plain R. Jain et al. https://doi.org/10.1016/j.aeaoa.2024.100290
- Simulating ozone concentrations using precursor emission inventories in Delhi – National Capital Region of India S. Sharma & M. Khare https://doi.org/10.1016/j.atmosenv.2016.12.009
- On modelling growing menace of household emissions under COVID-19 in Indian metros G. Beig et al. https://doi.org/10.1016/j.envpol.2020.115993
- Road transport impact on PM2.5 pollution over Delhi during the post-monsoon season C. Mogno et al. https://doi.org/10.1016/j.aeaoa.2022.100200
- Source apportionment of PM2.5 in North India using source-oriented air quality models H. Guo et al. https://doi.org/10.1016/j.envpol.2017.08.016
- Extreme Air Pollution in Global Megacities M. Marlier et al. https://doi.org/10.1007/s40641-016-0032-z
- Contributions of local and regional sources to PM2.5 and its health effects in north India H. Guo et al. https://doi.org/10.1016/j.atmosenv.2019.116867
38 citations as recorded by crossref.
- Air pollution trend in Chandigarh during 2019–2022: status and influence of meteorological factors D. Dalai et al. https://doi.org/10.1007/s10661-024-12321-x
- The micro-environmental impact of volatile organic compound emissions from large-scale assemblies of people in a confined space T. Dutta et al. https://doi.org/10.1016/j.envres.2016.08.009
- Local characteristics of and exposure to fine particulate matter (PM2.5) in four indian megacities Y. Chen et al. https://doi.org/10.1016/j.aeaoa.2019.100052
- Improving regional air quality predictions in the Indo-Gangetic Plain – case study of an intensive pollution episode in November 2017 B. Roozitalab et al. https://doi.org/10.5194/acp-21-2837-2021
- Mitigation of PM2.5 and ozone pollution in Delhi: a sensitivity study during the pre-monsoon period Y. Chen et al. https://doi.org/10.5194/acp-20-499-2020
- Re-suspension of road dust: contribution, assessment and control through dust suppressants—a review S. Gulia et al. https://doi.org/10.1007/s13762-018-2001-7
- Regional pollution loading in winter months over India using high resolution WRF-Chem simulation R. Jat et al. https://doi.org/10.1016/j.atmosres.2020.105326
- Modelling of sectoral emissions of short-lived and long-lived climate pollutants under various control technological strategies M. Arif et al. https://doi.org/10.1016/j.scitotenv.2019.134358
- Assessment of Aerosol Mechanisms and Aerosol Meteorology Feedback over an Urban Airshed in India Using a Chemical Transport Model M. Gupta & M. Mohan https://doi.org/10.3390/atmos12111417
- Ambient air pollution exposures and alterations in health biomarkers: evidence from a prospective observational study J. Nath et al. https://doi.org/10.1007/s11869-025-01806-4
- Ambient PM10-linked clustering of indian cities by club convergence algorithm D. Majumdar https://doi.org/10.1007/s44288-026-00484-8
- Sources of black carbon aerosols in South Asia and surrounding regions during the Integrated Campaign for Aerosols, Gases and Radiation Budget (ICARB) R. Kumar et al. https://doi.org/10.5194/acp-15-5415-2015
- Triple dip La-Nina, unorthodox circulation and unusual spin in air quality of India G. Beig et al. https://doi.org/10.1016/j.scitotenv.2024.170963
- Current and Future Disease Burden From Ambient Ozone Exposure in India L. Conibear et al. https://doi.org/10.1029/2018GH000168
- Modeling PM2.5 During Severe Atmospheric Pollution Episode in Lagos, Nigeria: Spatiotemporal Variations, Source Apportionment, and Meteorological Influences I. Sulaymon et al. https://doi.org/10.1029/2022JD038360
- Trends of leading pollutant in a highly polluted global city: processes involved L. Radhadevi et al. https://doi.org/10.1007/s10661-025-14243-8
- Interstate transport of carbon monoxide and black carbon over India P. Bhardwaj et al. https://doi.org/10.1016/j.atmosenv.2021.118268
- Significant Climate Impact of Highly Hygroscopic Atmospheric Aerosols in Delhi, India Y. Wang & Y. Chen https://doi.org/10.1029/2019GL082339
- India’s Maiden air quality forecasting framework for megacities of divergent environments: The SAFAR-project G. Beig et al. https://doi.org/10.1016/j.envsoft.2021.105204
- Evaluation of coarse and fine particles in diverse Indian environments K. George et al. https://doi.org/10.1007/s11356-016-8049-3
- Managing future air quality in megacities: Co-benefit assessment for Delhi A. Bhanarkar et al. https://doi.org/10.1016/j.atmosenv.2018.05.026
- The Impact of Hospitality on Air Quality at a Major Sporting Event W. Acton et al. https://doi.org/10.1021/acsestair.5c00142
- The impact of power generation emissions on ambient PM2.5 pollution and human health in China and India M. Gao et al. https://doi.org/10.1016/j.envint.2018.09.015
- Air quality in megacity Delhi affected by countryside biomass burning S. Bikkina et al. https://doi.org/10.1038/s41893-019-0219-0
- Numerical simulations of different sectoral contributions to post monsoon pollution over Delhi T. Mukherjee et al. https://doi.org/10.1016/j.heliyon.2020.e03548
- Variability of Fine Particulate Matter (PM2.5) and its Association with Health and Vehicular Emissions Over an Urban Tropical Coastal Station Mumbai, India A. Barudgar et al. https://doi.org/10.1007/s41208-022-00442-4
- Anatomy of the winter 2017 air quality emergency in Delhi G. Beig et al. https://doi.org/10.1016/j.scitotenv.2019.04.347
- Significant change in air quality parameters during the year 2020 over 1st smart city of India: Bhubaneswar S. Sahu et al. https://doi.org/10.1007/s42452-020-03831-7
- Wintertime source apportionment of PM2.5 pollution in million plus population cities of India using WRF-Chem simulation R. Jat et al. https://doi.org/10.1007/s40808-024-02119-8
- Utilisation of local emission inventory data for forecasting PM10 using the WRF-Chem model in the Bandung Basin P. Kombara et al. https://doi.org/10.1071/ES23026
- Year-long simulation of gaseous and particulate air pollutants in India S. Kota et al. https://doi.org/10.1016/j.atmosenv.2018.03.003
- COVID-19 lockdown impact on air quality and associated health benefit in two contrasting urban cities in Eastern Indo Gangetic Plain R. Jain et al. https://doi.org/10.1016/j.aeaoa.2024.100290
- Simulating ozone concentrations using precursor emission inventories in Delhi – National Capital Region of India S. Sharma & M. Khare https://doi.org/10.1016/j.atmosenv.2016.12.009
- On modelling growing menace of household emissions under COVID-19 in Indian metros G. Beig et al. https://doi.org/10.1016/j.envpol.2020.115993
- Road transport impact on PM2.5 pollution over Delhi during the post-monsoon season C. Mogno et al. https://doi.org/10.1016/j.aeaoa.2022.100200
- Source apportionment of PM2.5 in North India using source-oriented air quality models H. Guo et al. https://doi.org/10.1016/j.envpol.2017.08.016
- Extreme Air Pollution in Global Megacities M. Marlier et al. https://doi.org/10.1007/s40641-016-0032-z
- Contributions of local and regional sources to PM2.5 and its health effects in north India H. Guo et al. https://doi.org/10.1016/j.atmosenv.2019.116867
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