Articles | Volume 23, issue 9
https://doi.org/10.5194/acp-23-5587-2023
© 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/acp-23-5587-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 May 2023
Research article |
| 17 May 2023
| 17 May 2023
Significant contribution of inland ships to the total NOx emissions along the Yangtze River
Xiumei Zhang
CORRESPONDING AUTHOR
KNMI-NUIST Center for Atmospheric Composition, Nanjing University of
Information Science and Technology (NUIST), Nanjing 210044, China
Department of
Satellite Observations, Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Ronald van der A
KNMI-NUIST Center for Atmospheric Composition, Nanjing University of
Information Science and Technology (NUIST), Nanjing 210044, China
Department of
Satellite Observations, Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Jieying Ding
Department of
Satellite Observations, Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Xin Zhang
KNMI-NUIST Center for Atmospheric Composition, Nanjing University of
Information Science and Technology (NUIST), Nanjing 210044, China
KNMI-NUIST Center for Atmospheric Composition, Nanjing University of
Information Science and Technology (NUIST), Nanjing 210044, China
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Cited
14 citations as recorded by crossref.
- Monitoring European anthropogenic NOx emissions from space R. van der A et al. 10.5194/acp-24-7523-2024
- The carbon emission reduction roadmap and policy of inland river ships in the yangtze river basin X. Peng et al. 10.1016/j.jclepro.2025.145056
- Exploring the trends of research: a bibliometric analysis of global ship emission estimation practices K. Mohiuddin et al. 10.1007/s40722-024-00341-1
- Shipping emission inventory preparation with AIS data: A stratified random sampling method S. He et al. 10.1016/j.trd.2024.104520
- Remote sensing of air pollutants in China to study the effects of emission reduction policies on air quality G. de Leeuw et al. 10.1016/j.jastp.2024.106392
- Dynamics of water-soluble inorganic ions in Qinhuangdao: Particle size association and influences of environmental conditions R. Lyu et al. 10.1016/j.uclim.2025.102390
- Analysing ship emissions under complex operating conditions: Insights from onboard measurement data A. Fan et al. 10.1016/j.marpolbul.2024.117280
- Investigation of formaldehyde sources and its relative emission intensity in shipping channel environment J. Liu et al. 10.1016/j.jes.2023.06.020
- A bridge-based ship exhaust monitoring method in the Yangtze River: Modeling interaction effects between ship exhaust plume and river-crossing bridge C. Zhou et al. 10.1016/j.marpolbul.2025.117574
- Assessing the impact of inland navigation on the faecal pollution status of large rivers: A novel integrated field approach S. Steinbacher et al. 10.1016/j.watres.2024.122029
- Evaluating long-term reductions in trace metal emissions from shipping in Shanghai M. Wang et al. 10.1016/j.jhazmat.2024.136367
- Identifying missing sources and reducing NOx emissions uncertainty over China using daily satellite data and a mass-conserving method L. Lu et al. 10.5194/acp-25-2291-2025
- Characterization of pollutant discharges from ships within 100 nautical miles of China's coastline and certain inland river ports, 2022 X. Zhang et al. 10.1016/j.marpolbul.2025.117876
- The inland waterway ship emission inventory modeling: The Yangtze River case X. Peng et al. 10.1016/j.trd.2024.104138
14 citations as recorded by crossref.
- Monitoring European anthropogenic NOx emissions from space R. van der A et al. 10.5194/acp-24-7523-2024
- The carbon emission reduction roadmap and policy of inland river ships in the yangtze river basin X. Peng et al. 10.1016/j.jclepro.2025.145056
- Exploring the trends of research: a bibliometric analysis of global ship emission estimation practices K. Mohiuddin et al. 10.1007/s40722-024-00341-1
- Shipping emission inventory preparation with AIS data: A stratified random sampling method S. He et al. 10.1016/j.trd.2024.104520
- Remote sensing of air pollutants in China to study the effects of emission reduction policies on air quality G. de Leeuw et al. 10.1016/j.jastp.2024.106392
- Dynamics of water-soluble inorganic ions in Qinhuangdao: Particle size association and influences of environmental conditions R. Lyu et al. 10.1016/j.uclim.2025.102390
- Analysing ship emissions under complex operating conditions: Insights from onboard measurement data A. Fan et al. 10.1016/j.marpolbul.2024.117280
- Investigation of formaldehyde sources and its relative emission intensity in shipping channel environment J. Liu et al. 10.1016/j.jes.2023.06.020
- A bridge-based ship exhaust monitoring method in the Yangtze River: Modeling interaction effects between ship exhaust plume and river-crossing bridge C. Zhou et al. 10.1016/j.marpolbul.2025.117574
- Assessing the impact of inland navigation on the faecal pollution status of large rivers: A novel integrated field approach S. Steinbacher et al. 10.1016/j.watres.2024.122029
- Evaluating long-term reductions in trace metal emissions from shipping in Shanghai M. Wang et al. 10.1016/j.jhazmat.2024.136367
- Identifying missing sources and reducing NOx emissions uncertainty over China using daily satellite data and a mass-conserving method L. Lu et al. 10.5194/acp-25-2291-2025
- Characterization of pollutant discharges from ships within 100 nautical miles of China's coastline and certain inland river ports, 2022 X. Zhang et al. 10.1016/j.marpolbul.2025.117876
- The inland waterway ship emission inventory modeling: The Yangtze River case X. Peng et al. 10.1016/j.trd.2024.104138
Latest update: 23 Apr 2025
Short summary
We compiled a ship emission inventory based on automatic identification system (AIS) signals in the Jiangsu section of the Yangtze River. This ship emission inventory was compared with Chinese bottom-up inventories and the satellite-derived emissions from TROPOMI. The result shows a consistent spatial distribution, with riverine cities having high NOx emissions. Inland ship emissions of NOx are shown to contribute at least 40 % to air pollution along the river.
We compiled a ship emission inventory based on automatic identification system (AIS) signals in...
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