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.
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
12 citations as recorded by crossref.
- 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
- Monitoring European anthropogenic NOx emissions from space R. van der A et al. 10.5194/acp-24-7523-2024
- 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
- 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
- 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
- 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
- The inland waterway ship emission inventory modeling: The Yangtze River case X. Peng et al. 10.1016/j.trd.2024.104138
12 citations as recorded by crossref.
- 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
- Monitoring European anthropogenic NOx emissions from space R. van der A et al. 10.5194/acp-24-7523-2024
- 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
- 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
- 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
- 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
- The inland waterway ship emission inventory modeling: The Yangtze River case X. Peng et al. 10.1016/j.trd.2024.104138
Latest update: 28 Mar 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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