Articles | Volume 18, issue 8
https://doi.org/10.5194/acp-18-6075-2018
© Author(s) 2018. 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-18-6075-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Decadal evolution of ship emissions in China from 2004 to 2013 by using an integrated AIS-based approach and projection to 2040
Cheng Li
CORRESPONDING AUTHOR
Institute for Environmental and Climate Research, Jinan University, Guangzhou 511442, China
Jens Borken-Kleefeld
The International Institute for Applied Systems Analysis, Air Quality and Greenhouse Gases Program, 2361 Laxenburg, Austria
Junyu Zheng
Institute for Environmental and Climate Research, Jinan University, Guangzhou 511442, China
School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
Zibing Yuan
School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
Jiamin Ou
School of International Development, University of East Anglia, Norwich, NR4 7TJ, UK
Yue Li
Transport Planning and Research Institute, Ministry of Transport No. 2
Building, 6A Shuguangxili, Chaoyang District, Beijing 100028, China
Yanlong Wang
School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
Yuanqian Xu
School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
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35 citations as recorded by crossref.
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- Combined machine learning and physics-based models for estimating fuel consumption of cargo ships B. Guo et al. 10.1016/j.oceaneng.2022.111435
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- Exploring the effectiveness of ECA policies in reducing pollutant emissions from merchant ships in Shanghai port waters K. Shi et al. 10.1016/j.marpolbul.2020.111164
- Trace Elements From Ocean‐Going Vessels in East Asia: Vanadium and Nickel Emissions and Their Impacts on Air Quality J. Zhao et al. 10.1029/2020JD033984
- Multiple-Year Changes (2014–2018) in Particulate Vanadium Linked to Shipping Regulations in the World’s Largest Port Region K. Cheng et al. 10.1021/acsearthspacechem.1c00402
- Impact of China's ECA policies on air pollution in coastal cities: Empirical analysis based on synthetic-DID model J. Shi et al. 10.1016/j.cities.2024.104871
- High PM2.5 Emission from Typical Old, Small Fishing Vessels in China L. Wang et al. 10.1021/acs.estlett.1c00927
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- Research on the carbon emissions traceability inventory and multi-horizon prediction of ship carbon emissions: a case study of Tianjin Port Y. Li et al. 10.3389/fmars.2023.1174411
- Mitigation strategies of air pollution: case studies of China and the United States from a consumption perspective Y. Jiang et al. 10.1016/j.envsci.2021.11.004
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- Assessing the co-benefits of emission reduction measures in transportation sector: A case study in Guangdong, China M. Hu et al. 10.1016/j.uclim.2023.101619
- Polycyclic aromatic hydrocarbon contaminations along shipping lanes and implications of seafarer exposure: Based on PAHs in ship surface films and a film-air-water fugacity model P. Su et al. 10.1016/j.scitotenv.2020.138943
- An updated model-ready emission inventory for Guangdong Province by incorporating big data and mapping onto multiple chemical mechanisms Z. Huang et al. 10.1016/j.scitotenv.2020.144535
- A novel oil port risk and efficiency performance measured by using AIS data and maritime open data: The case of Guangzhou, China H. Zhong et al. 10.1016/j.oceaneng.2020.107859
- Estimation of the Non-Greenhouse Gas Emissions Inventory from Ships in the Port of Incheon H. Lee et al. 10.3390/su12198231
- Impacts of shipping emissions on PM<sub>2.5</sub> pollution in China Z. Lv et al. 10.5194/acp-18-15811-2018
- Dual-modelling-based source apportionment of NOx in five Chinese megacities: Providing the isotopic footprint from 2013 to 2014 Z. Zong et al. 10.1016/j.envint.2020.105592
- Literature Review and Future Prospects on Vessel Movement Data Usage including AIS Y. Wada et al. 10.2534/jjasnaoe.34.123
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Latest update: 16 Aug 2024
Short summary
We developed an integrated approach based on the Automatic Identification System (AIS) to promote the estimation of sectoral ship emissions in China. Based upon this approach, the sector-based contributions, decadal evolution from 2004 to 2013, emission projection to 2040, and impact of different sizes of Emission Control Areas (ECAs) on emission reductions were investigated, aiming to provide solid scientific support for ship emissions control policy making in China.
We developed an integrated approach based on the Automatic Identification System (AIS) to...
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