Articles | Volume 15, issue 2
https://doi.org/10.5194/essd-15-661-2023
© 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-15-661-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Spatially resolved hourly traffic emission over megacity Delhi using advanced traffic flow data
Akash Biswal
National Atmospheric Research Laboratory, Gadanki, AP, 517112, India
Department of Environment Studies, Panjab University, Chandigarh,
160014, India
National Atmospheric Research Laboratory, Gadanki, AP, 517112, India
Leeza Malik
Department of Civil Engineering, Indian Institute of Technology
(Indian School of Mines), Dhanbad, Jharkhand 826004, India
Geetam Tiwari
Transportation Research and Injury Prevention Programme, Indian
Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India
Khaiwal Ravindra
Department of Community Medicine and School of Public Health, Post
Graduate Institute of Medical Education and Research (PGIMER), Chandigarh
160012, India
Suman Mor
Department of Environment Studies, Panjab University, Chandigarh,
160014, India
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Cited
13 citations as recorded by crossref.
- Black carbon pollution over India simulated with recent emission inventories and WRF-CHEM model R. Sheoran et al. 10.1016/j.atmosres.2025.107931
- Real-Time IoT-Based Connected Vehicle Infrastructure for Intelligent Transportation Safety N. Sharma & R. Garg 10.1109/TITS.2023.3263271
- The analysis of the operating conditions of a heavy-duty engine of a vehicle designated for timber transport in terms of compliance with the RDE procedures M. Bednarek et al. 10.19206/CE-193859
- Health Risks of Major Air Pollutants, their Drivers and Mitigation Strategies: A Review S. Maji et al. 10.1177/11786221231154659
- Nighttime NO emissions strongly suppress chlorine and nitrate radical formation during the winter in Delhi S. Haslett et al. 10.5194/acp-23-9023-2023
- A method for identifying exceedances of permissible NOX air pollutants by car traffic in a polish city J. Kwiecień & P. Olenkowicz-Trempała 10.1007/s13762-024-05937-6
- Weak coupling of observed surface PM2.5 in Delhi-NCR with rice crop residue burning in Punjab and Haryana P. Mangaraj et al. 10.1038/s41612-025-00901-8
- Decoding temporal patterns and trends of PM10 pollution over Delhi: a multi-year analysis (2015–2022) . Chetna et al. 10.1007/s10661-024-12638-7
- Quantifying vehicle restriction related PM2.5 reduction using field observations in an isolated urban basin Y. Guo et al. 10.1088/1748-9326/ad2238
- Scaling traffic variables from sensors sample to the entire city at high spatiotemporal resolution with machine learning: applications to the Paris megacity X. Bonnemaizon et al. 10.1088/2634-4505/ad6bbf
- Analysis of Low-Carbon, Energy-Saving, and Emission Reduction Models Based on Rail Transit J. Sun & V. Le 10.4018/IJISMD.355708
- Employing an Eigenfunction Eigendecomposition algorithm to cartographically and statistically delineate traffic-related carbon monoxide pollution in Hillsborough County, Florida L. Jing et al. 10.5897/JPHE2023.1461
- Impact of allocation factors on spatial disaggregation of road traffic emissions in Megacity Delhi A. Swarnkar et al. 10.1007/s11869-025-01706-7
13 citations as recorded by crossref.
- Black carbon pollution over India simulated with recent emission inventories and WRF-CHEM model R. Sheoran et al. 10.1016/j.atmosres.2025.107931
- Real-Time IoT-Based Connected Vehicle Infrastructure for Intelligent Transportation Safety N. Sharma & R. Garg 10.1109/TITS.2023.3263271
- The analysis of the operating conditions of a heavy-duty engine of a vehicle designated for timber transport in terms of compliance with the RDE procedures M. Bednarek et al. 10.19206/CE-193859
- Health Risks of Major Air Pollutants, their Drivers and Mitigation Strategies: A Review S. Maji et al. 10.1177/11786221231154659
- Nighttime NO emissions strongly suppress chlorine and nitrate radical formation during the winter in Delhi S. Haslett et al. 10.5194/acp-23-9023-2023
- A method for identifying exceedances of permissible NOX air pollutants by car traffic in a polish city J. Kwiecień & P. Olenkowicz-Trempała 10.1007/s13762-024-05937-6
- Weak coupling of observed surface PM2.5 in Delhi-NCR with rice crop residue burning in Punjab and Haryana P. Mangaraj et al. 10.1038/s41612-025-00901-8
- Decoding temporal patterns and trends of PM10 pollution over Delhi: a multi-year analysis (2015–2022) . Chetna et al. 10.1007/s10661-024-12638-7
- Quantifying vehicle restriction related PM2.5 reduction using field observations in an isolated urban basin Y. Guo et al. 10.1088/1748-9326/ad2238
- Scaling traffic variables from sensors sample to the entire city at high spatiotemporal resolution with machine learning: applications to the Paris megacity X. Bonnemaizon et al. 10.1088/2634-4505/ad6bbf
- Analysis of Low-Carbon, Energy-Saving, and Emission Reduction Models Based on Rail Transit J. Sun & V. Le 10.4018/IJISMD.355708
- Employing an Eigenfunction Eigendecomposition algorithm to cartographically and statistically delineate traffic-related carbon monoxide pollution in Hillsborough County, Florida L. Jing et al. 10.5897/JPHE2023.1461
- Impact of allocation factors on spatial disaggregation of road traffic emissions in Megacity Delhi A. Swarnkar et al. 10.1007/s11869-025-01706-7
Latest update: 21 Feb 2025
Short summary
This paper presents detailed emission estimates of on-road traffic exhaust emissions of nine major pollutants for Delhi. We use advanced traffic data and emission factors as a function of speed to estimate emissions for each hour and 100 m × 100 m spatial resolution. We examine the source contribution according to the vehicle, fuel, road and Euro types to identify the most polluting vehicles. These data are useful for high-resolution air quality modelling for developing suitable strategies.
This paper presents detailed emission estimates of on-road traffic exhaust emissions of nine...
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