Articles | Volume 15, issue 7
https://doi.org/10.5194/essd-15-3183-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-3183-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
26 Jul 2023
Data description article |
| 26 Jul 2023
| 26 Jul 2023
Decadal growth in emission load of major air pollutants in Delhi
Saroj Kumar Sahu
CORRESPONDING AUTHOR
Environmental Science, Department of Botany, Utkal University, Bhubaneswar, India
Poonam Mangaraj
CORRESPONDING AUTHOR
Environmental Science, Department of Botany, Utkal University, Bhubaneswar, India
National Institute of Advanced Studies, Indian Institute of Science – Campus, Bangalore, India
Gufran Beig
CORRESPONDING AUTHOR
National Institute of Advanced Studies, Indian Institute of Science – Campus, Bangalore, India
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Cited
16 citations as recorded by crossref.
- Adaptation and mitigation of pollution: Evidence from air quality warnings S. Aguilar-Gomez https://doi.org/10.1016/j.jeem.2025.103215
- Modelling health implications of extreme PM2.5 concentrations in Indian sub-continent: Comprehensive review with longitudinal trends and deep learning predictions K. Rautela & M. Goyal https://doi.org/10.1016/j.techsoc.2025.102843
- Source-specific fine particulates emission linked to prevalence of ophthalmic cases in India S. Sahu et al. https://doi.org/10.1038/s41598-024-82914-6
- Regional Power Emissions and Heterogeneous Chemistry Drive Extreme Sulfate Levels in Delhi R. Maity et al. https://doi.org/10.1021/acsestair.5c00407
- Development of emission inventory for air quality assessment and mitigation strategies over most populous Indian megacity, Mumbai P. Mangaraj et al. https://doi.org/10.1016/j.uclim.2024.101928
- Impact of allocation factors on spatial disaggregation of road traffic emissions in Megacity Delhi A. Swarnkar et al. https://doi.org/10.1007/s11869-025-01706-7
- Quantification and spatial analysis of gridded (0.1° × 0.1°) emission of indirect GHGs/Air pollutants from anthropogenic sources in India S. Sahu et al. https://doi.org/10.1016/j.envpol.2024.125231
- Decision Support System version 1.0 (DSS v1.0) for air quality management in Delhi, India G. Govardhan et al. https://doi.org/10.5194/gmd-17-2617-2024
- Short-term association of ground-level ozone with 50,000 hospital admissions in Delhi: A fused data and distributed lag modeling study P. Parmar et al. https://doi.org/10.1016/j.uclim.2026.102958
- Quantification and assessment of hazardous mercury emission from industrial process and other unattended sectors in India: A step towards mitigation S. Sahu et al. https://doi.org/10.1016/j.jhazmat.2024.134103
- A gridded (0.1° × 0.1°) methane emission dataset for India for 2023 to redefine global climate studies A. Mishra et al. https://doi.org/10.5194/essd-18-1367-2026
- The role of neighborhood and household level socio-economic status in determining air pollution exposure in two Indian cities J. Menon et al. https://doi.org/10.1088/1748-9326/adccdd
- Air Pollution and Health Burden in India Quantified Using the AEIM-India Emission Inventory M. Lund et al. https://doi.org/10.1021/acsestair.5c00171
- Electronic tolling-FASTag technology in transport is a game changer in climate action: A sustainable policy towards Net-Zero in India A. Mishra et al. https://doi.org/10.1016/j.tranpol.2026.104164
- Weak coupling of observed surface PM2.5 in Delhi-NCR with rice crop residue burning in Punjab and Haryana P. Mangaraj et al. https://doi.org/10.1038/s41612-025-00901-8
- What drives anthropogenic fine particulate chloride emissions in India? – A quantitative assessment of hotspots P. Sahoo et al. https://doi.org/10.1016/j.scitotenv.2025.179949
16 citations as recorded by crossref.
- Adaptation and mitigation of pollution: Evidence from air quality warnings S. Aguilar-Gomez https://doi.org/10.1016/j.jeem.2025.103215
- Modelling health implications of extreme PM2.5 concentrations in Indian sub-continent: Comprehensive review with longitudinal trends and deep learning predictions K. Rautela & M. Goyal https://doi.org/10.1016/j.techsoc.2025.102843
- Source-specific fine particulates emission linked to prevalence of ophthalmic cases in India S. Sahu et al. https://doi.org/10.1038/s41598-024-82914-6
- Regional Power Emissions and Heterogeneous Chemistry Drive Extreme Sulfate Levels in Delhi R. Maity et al. https://doi.org/10.1021/acsestair.5c00407
- Development of emission inventory for air quality assessment and mitigation strategies over most populous Indian megacity, Mumbai P. Mangaraj et al. https://doi.org/10.1016/j.uclim.2024.101928
- Impact of allocation factors on spatial disaggregation of road traffic emissions in Megacity Delhi A. Swarnkar et al. https://doi.org/10.1007/s11869-025-01706-7
- Quantification and spatial analysis of gridded (0.1° × 0.1°) emission of indirect GHGs/Air pollutants from anthropogenic sources in India S. Sahu et al. https://doi.org/10.1016/j.envpol.2024.125231
- Decision Support System version 1.0 (DSS v1.0) for air quality management in Delhi, India G. Govardhan et al. https://doi.org/10.5194/gmd-17-2617-2024
- Short-term association of ground-level ozone with 50,000 hospital admissions in Delhi: A fused data and distributed lag modeling study P. Parmar et al. https://doi.org/10.1016/j.uclim.2026.102958
- Quantification and assessment of hazardous mercury emission from industrial process and other unattended sectors in India: A step towards mitigation S. Sahu et al. https://doi.org/10.1016/j.jhazmat.2024.134103
- A gridded (0.1° × 0.1°) methane emission dataset for India for 2023 to redefine global climate studies A. Mishra et al. https://doi.org/10.5194/essd-18-1367-2026
- The role of neighborhood and household level socio-economic status in determining air pollution exposure in two Indian cities J. Menon et al. https://doi.org/10.1088/1748-9326/adccdd
- Air Pollution and Health Burden in India Quantified Using the AEIM-India Emission Inventory M. Lund et al. https://doi.org/10.1021/acsestair.5c00171
- Electronic tolling-FASTag technology in transport is a game changer in climate action: A sustainable policy towards Net-Zero in India A. Mishra et al. https://doi.org/10.1016/j.tranpol.2026.104164
- Weak coupling of observed surface PM2.5 in Delhi-NCR with rice crop residue burning in Punjab and Haryana P. Mangaraj et al. https://doi.org/10.1038/s41612-025-00901-8
- What drives anthropogenic fine particulate chloride emissions in India? – A quantitative assessment of hotspots P. Sahoo et al. https://doi.org/10.1016/j.scitotenv.2025.179949
Saved (final revised paper)
Latest update: 13 Jun 2026
Short summary
The developed emission inventory identifies all the potential anthropogenic sources active in the Delhi NCR. The decadal change (2010–2020) and the changing policies have also been illustrated to observe the modulation in the sectorial emission trend. Emission hotspots with possible source-specific mitigation strategies have also been highlighted to improve the air quality of the Delhi NCR. The provided dataset is a vital tool for air quality and chemical transport modeling studies.
The developed emission inventory identifies all the potential anthropogenic sources active in...
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