Articles | Volume 24, issue 18
https://doi.org/10.5194/acp-24-10279-2024
© Author(s) 2024. 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-24-10279-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
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
Arpit Awasthi
Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali, Sector 81, SAS Nagar, Manauli PO, Punjab, 140306, India
Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali, Sector 81, SAS Nagar, Manauli PO, Punjab, 140306, India
Haseeb Hakkim
Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali, Sector 81, SAS Nagar, Manauli PO, Punjab, 140306, India
Sachin Mishra
Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali, Sector 81, SAS Nagar, Manauli PO, Punjab, 140306, India
Varkrishna Mummidivarapu
Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali, Sector 81, SAS Nagar, Manauli PO, Punjab, 140306, India
Gurmanjot Singh
Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali, Sector 81, SAS Nagar, Manauli PO, Punjab, 140306, India
Sachin D. Ghude
Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pashan, Pune, 411008, India
Vijay Kumar Soni
India Meteorological Department, Ministry of Earth Sciences, New Delhi, 110003, India
Narendra Nigam
India Meteorological Department, Ministry of Earth Sciences, New Delhi, 110003, India
Vinayak Sinha
Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali, Sector 81, SAS Nagar, Manauli PO, Punjab, 140306, India
Madhavan N. Rajeevan
Ministry of Earth Sciences, Government of India, New Delhi, 110003, India
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- Reactive chlorine-, sulfur-, and nitrogen-containing volatile organic compounds impact atmospheric chemistry in the megacity of Delhi during both clean and extremely polluted seasons S. Mishra et al. 10.5194/acp-24-13129-2024
- Characterizing Industrial VOC Hotspots in One of Eastern China’s Largest Petrochemical Parks Using Mobile PTR–ToF–MS Measurements J. Fang et al. 10.3390/atmos16010104
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- An AI-Based Framework for Characterizing the Atmospheric Fate of Air Pollutants Within Diverse Environmental Settings N. Radić et al. 10.3390/atmos16020231
- Understanding the relationship between land use/land cover changes and air quality: A GIS-based fuzzy inference system approach M. Zaid & D. Basu 10.1007/s10661-024-13267-w
5 citations as recorded by crossref.
- Exploration and impacts of vehicular-borne potentially toxic elements (VB-PTEs) on Calotropis procera (Aiton) W.T.Aiton: A bioindicator approach T. Shah et al. 10.1016/j.hazadv.2025.100753
- Reactive chlorine-, sulfur-, and nitrogen-containing volatile organic compounds impact atmospheric chemistry in the megacity of Delhi during both clean and extremely polluted seasons S. Mishra et al. 10.5194/acp-24-13129-2024
- Characterizing Industrial VOC Hotspots in One of Eastern China’s Largest Petrochemical Parks Using Mobile PTR–ToF–MS Measurements J. Fang et al. 10.3390/atmos16010104
- Insights on optical absorption and isotopic properties of carbonaceous aerosol in PM2.5 and PM10 from different emission sources K. Mishra et al. 10.1016/j.envpol.2025.126558
- The influence of local and regional sources on concentrations of fine particulate matter in Delhi D. Srivastava et al. 10.1016/j.apr.2025.102476
2 citations as recorded by crossref.
- An AI-Based Framework for Characterizing the Atmospheric Fate of Air Pollutants Within Diverse Environmental Settings N. Radić et al. 10.3390/atmos16020231
- Understanding the relationship between land use/land cover changes and air quality: A GIS-based fuzzy inference system approach M. Zaid & D. Basu 10.1007/s10661-024-13267-w
Latest update: 16 Jun 2025
Short summary
We use 111 volatile organic compounds (VOCs), PM10, and PM2.5 in a positive matrix factorization (PMF) model to resolve 11 pollution sources validated with chemical fingerprints. Crop residue burning and heating account for ~ 50 % of the PM, while traffic and industrial emissions dominate the gas-phase VOC burden and formation potential of secondary organic aerosols (> 60 %). Non-tailpipe emissions from compressed-natural-gas-fuelled commercial vehicles dominate the transport sector's PM burden.
We use 111 volatile organic compounds (VOCs), PM10, and PM2.5 in a positive matrix factorization...
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