Articles | Volume 24, issue 2
https://doi.org/10.5194/acp-24-789-2024
© 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-24-789-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Quantifying effects of long-range transport of NO2 over Delhi using back trajectories and satellite data
School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK
National Centre for Earth Observation, University of Leeds, Leeds, LS2 9JT, UK
Richard J. Pope
School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK
National Centre for Earth Observation, University of Leeds, Leeds, LS2 9JT, UK
Martyn P. Chipperfield
School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK
National Centre for Earth Observation, University of Leeds, Leeds, LS2 9JT, UK
Sandip S. Dhomse
School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK
National Centre for Earth Observation, University of Leeds, Leeds, LS2 9JT, UK
Matilda Pimlott
School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK
Wuhu Feng
School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK
National Centre for Atmospheric Science, University of Leeds, Leeds, LS2 9PH, UK
Vikas Singh
National Atmospheric Research Laboratory, Gadanki, India
Ying Chen
Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen PSI, Switzerland
School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, B15 2TT, UK
Oliver Wild
Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4QY, UK
Ranjeet Sokhi
Centre for Climate Change Research (C3R), School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield, AL10 9AB, UK
Gufran Beig
National Institute of Advanced Studies, Indian Institute of Science Campus, Bangalore, 560012, India
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5 citations as recorded by crossref.
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- Air pollution mitigation and suspended particulate matter retention potential of selected plant species across seasonal variation in the urban area D. Tripathi & A. Nema 10.1007/s11356-024-34104-0
- A bivariate simultaneous pollutant forecasting approach by Unified Spectro-Spatial Graph Neural Network (USSGNN) and its application in prediction of O3 and NO2 for New Delhi, India S. Mandal et al. 10.1016/j.scs.2024.105741
- Adsorption Behavior of NO and NO2 on Two-Dimensional As, Sb, and Bi Materials: First-Principles Insights Y. Zhang et al. 10.3390/ma17051024
- Characterizing Visibility in a Contrasting Climate of Indian Cities S. Ulavi & S. Saragur Madanayak 10.1007/s40030-024-00786-5
3 citations as recorded by crossref.
- Assessment of metals and metalloids agglutinated to airborne suspended particulate matter in selected plant species during the pre-and post-monsoon in the urban area D. Tripathi & A. Nema 10.1016/j.envpol.2024.124300
- Air pollution mitigation and suspended particulate matter retention potential of selected plant species across seasonal variation in the urban area D. Tripathi & A. Nema 10.1007/s11356-024-34104-0
- A bivariate simultaneous pollutant forecasting approach by Unified Spectro-Spatial Graph Neural Network (USSGNN) and its application in prediction of O3 and NO2 for New Delhi, India S. Mandal et al. 10.1016/j.scs.2024.105741
2 citations as recorded by crossref.
Latest update: 18 Nov 2024
Short summary
Our paper uses novel satellite datasets and high-resolution emissions datasets alongside a back-trajectory model to investigate the balance of local and external sources influencing NOx air pollution changes in Delhi. We find in the post-monsoon season that NOx from local and non-local transport emissions contributes most to poor air quality in Delhi. Therefore, air quality mitigation strategies in Delhi and surrounding regions are used to control this issue.
Our paper uses novel satellite datasets and high-resolution emissions datasets alongside a...
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