Articles | Volume 25, issue 13
https://doi.org/10.5194/acp-25-7137-2025
© Author(s) 2025. 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-25-7137-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Impact of post-monsoon crop residue burning on PM2.5 over northern India: optimizing emissions using a high-density in situ surface observation network
Meteorological Research Institute (MRI), Japan Meteorological Agency (JMA), Tsukuba, Ibaraki 305-0052, Japan
Faculty of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Ibaraki 305-8572, Japan
Research Institute for Humanity and Nature (RIHN), Kyoto, Kyoto 603-8047, Japan
Kentaro Ishijima
CORRESPONDING AUTHOR
Meteorological Research Institute (MRI), Japan Meteorological Agency (JMA), Tsukuba, Ibaraki 305-0052, Japan
Joseph Ching
Department of Science and Environmental Studies, The Education University of Hong Kong, Hong Kong SAR, China
Research Institute for Humanity and Nature (RIHN), Kyoto, Kyoto 603-8047, Japan
Kazuyo Yamaji
Graduate School of Maritime Sciences, Kobe University, Kobe, Hyogo 6580022, Japan
Research Institute for Humanity and Nature (RIHN), Kyoto, Kyoto 603-8047, Japan
Rio Ishikawa
Graduate School of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Ibaraki 305-8572, Japan
Meteorological Research Institute (MRI), Japan Meteorological Agency (JMA), Tsukuba, Ibaraki 305-0052, Japan
Tomoki Kajikawa
Graduate School of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Ibaraki 305-8572, Japan
Meteorological Research Institute (MRI), Japan Meteorological Agency (JMA), Tsukuba, Ibaraki 305-0052, Japan
Tanbir Singh
Shaheed Captain Vikram Batra Government College, Palampur, Himachal Pradesh 176061, India
Tomoki Nakayama
Faculty of Environmental Science, Nagasaki University, Nagasaki, Nagasaki 852-8521, Japan
Research Institute for Humanity and Nature (RIHN), Kyoto, Kyoto 603-8047, Japan
Yutaka Matsumi
Institute for Space-Earth Environmental Research, Nagoya University, Nagoya, Aichi 464-8601, Japan
Research Institute for Humanity and Nature (RIHN), Kyoto, Kyoto 603-8047, Japan
Koyo Kojima
Graduate School of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Ibaraki 305-8572, Japan
Meteorological Research Institute (MRI), Japan Meteorological Agency (JMA), Tsukuba, Ibaraki 305-0052, Japan
Taisei Machida
Graduate School of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Ibaraki 305-8572, Japan
Meteorological Research Institute (MRI), Japan Meteorological Agency (JMA), Tsukuba, Ibaraki 305-0052, Japan
Takashi Maki
Meteorological Research Institute (MRI), Japan Meteorological Agency (JMA), Tsukuba, Ibaraki 305-0052, Japan
Prabir K. Patra
Research Institute for Humanity and Nature (RIHN), Kyoto, Kyoto 603-8047, Japan
Japan Agency for Marine-Earth Science and Technology (JAMSTEC) Yokohama, Kanagawa 236-0001, Japan
Sachiko Hayashida
Research Institute for Humanity and Nature (RIHN), Kyoto, Kyoto 603-8047, Japan
Faculty of Science, Nara Women's University, Nara, Nara 630-8263, Japan
Data sets
NHM-Chem simulation data used for an air quality study in North India M. Kajino https://doi.org/10.17632/9hs9mtxhh4.1
Model code and software
Application for use of Japan Meteorological Agency's regional-scale meteorology-chemistry model Japan Meteorological Agency https://www.mri-jma.go.jp/Dep/glb/nhmchem_model/application_en.html
Dataset $|$ Aakash Project (RIHN) Research Institute for Humanity and Nature https://aakash-rihn.org/en/data-set/
Short summary
Air pollution in Delhi during the post-monsoon period is severe, and association with intensive crop residue burning (CRB) over Punjab state has attracted attention. However, the relationship has been unclear as the CRB emissions conventionally derived from satellites were underestimated due to clouds or thick smoke/haze over the region. We evaluated the impact of CRB on PM2.5 to be about 50 %, based on a combination of numerical modeling and an observation network using low-cost sensors we installed.
Air pollution in Delhi during the post-monsoon period is severe, and association with intensive...
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