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.
Research article
| 
02 May 2018
Research article |
| 02 May 2018
| 02 May 2018
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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Cited
35 citations as recorded by crossref.
- Intermediate Volatility Organic Compound Emissions from a Large Cargo Vessel Operated under Real-World Conditions C. Huang et al. 10.1021/acs.est.8b04418
- The influence of spatiality on shipping emissions, air quality and potential human exposure in the Yangtze River Delta/Shanghai, China J. Feng et al. 10.5194/acp-19-6167-2019
- Projection of ship emissions and their impact on air quality in 2030 in Yangtze River delta, China J. Zhao et al. 10.1016/j.envpol.2020.114643
- Ship emissions around China under gradually promoted control policies from 2016 to 2019 X. Wang et al. 10.5194/acp-21-13835-2021
- Maritime greenhouse gas emission estimation and forecasting through AIS data analytics: a case study of Tianjin port in the context of sustainable development W. Xie et al. 10.3389/fmars.2023.1308981
- Significant contribution of inland ships to the total NOx emissions along the Yangtze River X. Zhang et al. 10.5194/acp-23-5587-2023
- Impact of air emissions from shipping on marine phytoplankton growth C. Zhang et al. 10.1016/j.scitotenv.2021.145488
- Evolution of anthropogenic air pollutant emissions in Guangdong Province, China, from 2006 to 2015 Y. Bian et al. 10.5194/acp-19-11701-2019
- A ship emission modeling system with scenario capabilities D. Schwarzkopf et al. 10.1016/j.aeaoa.2021.100132
- Characterization of VOC emissions from construction machinery and river ships in the Pearl River Delta of China R. Wang et al. 10.1016/j.jes.2020.03.013
- Ship emission estimation with high spatial-temporal resolution in the Yangtze River estuary using AIS data J. Weng et al. 10.1016/j.jclepro.2019.119297
- Assessment of Shipping Emissions on Busan Port of South Korea J. Kwon et al. 10.3390/jmse11040716
- Combined machine learning and physics-based models for estimating fuel consumption of cargo ships B. Guo et al. 10.1016/j.oceaneng.2022.111435
- Comparative Analysis, Use Recommendations, and Application Cases of Methods for Develop Ship Emission Inventories Y. Li et al. 10.3390/atmos13081224
- Analysis of the uncertainty of the AIS-based bottom-up approach for estimating ship emissions X. Chen & J. Yang 10.1016/j.marpolbul.2023.115968
- Role of export industries on ozone pollution and its precursors in China J. Ou et al. 10.1038/s41467-020-19035-x
- Assessing the impact of COVID-19 on air pollutant emissions from vessels in Lianyungang Port Q. Wang et al. 10.1016/j.marpolbul.2023.115313
- 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
- Air quality improvement via modal shift: Assessment of rail-water-port integrated system planning in Shenzhen, China J. Zhang et al. 10.1016/j.scitotenv.2021.148158
- 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
- Emission and influences of non-road mobile sources on air quality in China, 2000–2019 C. Wen et al. 10.1016/j.envpol.2023.121404
- 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
- Real-time non-refractory PM1 chemical composition, size distribution and source apportionment at a coastal industrial park in the Yangtze River Delta region, China X. Huang et al. 10.1016/j.scitotenv.2020.142968
35 citations as recorded by crossref.
- Intermediate Volatility Organic Compound Emissions from a Large Cargo Vessel Operated under Real-World Conditions C. Huang et al. 10.1021/acs.est.8b04418
- The influence of spatiality on shipping emissions, air quality and potential human exposure in the Yangtze River Delta/Shanghai, China J. Feng et al. 10.5194/acp-19-6167-2019
- Projection of ship emissions and their impact on air quality in 2030 in Yangtze River delta, China J. Zhao et al. 10.1016/j.envpol.2020.114643
- Ship emissions around China under gradually promoted control policies from 2016 to 2019 X. Wang et al. 10.5194/acp-21-13835-2021
- Maritime greenhouse gas emission estimation and forecasting through AIS data analytics: a case study of Tianjin port in the context of sustainable development W. Xie et al. 10.3389/fmars.2023.1308981
- Significant contribution of inland ships to the total NOx emissions along the Yangtze River X. Zhang et al. 10.5194/acp-23-5587-2023
- Impact of air emissions from shipping on marine phytoplankton growth C. Zhang et al. 10.1016/j.scitotenv.2021.145488
- Evolution of anthropogenic air pollutant emissions in Guangdong Province, China, from 2006 to 2015 Y. Bian et al. 10.5194/acp-19-11701-2019
- A ship emission modeling system with scenario capabilities D. Schwarzkopf et al. 10.1016/j.aeaoa.2021.100132
- Characterization of VOC emissions from construction machinery and river ships in the Pearl River Delta of China R. Wang et al. 10.1016/j.jes.2020.03.013
- Ship emission estimation with high spatial-temporal resolution in the Yangtze River estuary using AIS data J. Weng et al. 10.1016/j.jclepro.2019.119297
- Assessment of Shipping Emissions on Busan Port of South Korea J. Kwon et al. 10.3390/jmse11040716
- Combined machine learning and physics-based models for estimating fuel consumption of cargo ships B. Guo et al. 10.1016/j.oceaneng.2022.111435
- Comparative Analysis, Use Recommendations, and Application Cases of Methods for Develop Ship Emission Inventories Y. Li et al. 10.3390/atmos13081224
- Analysis of the uncertainty of the AIS-based bottom-up approach for estimating ship emissions X. Chen & J. Yang 10.1016/j.marpolbul.2023.115968
- Role of export industries on ozone pollution and its precursors in China J. Ou et al. 10.1038/s41467-020-19035-x
- Assessing the impact of COVID-19 on air pollutant emissions from vessels in Lianyungang Port Q. Wang et al. 10.1016/j.marpolbul.2023.115313
- 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
- Air quality improvement via modal shift: Assessment of rail-water-port integrated system planning in Shenzhen, China J. Zhang et al. 10.1016/j.scitotenv.2021.148158
- 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
- Emission and influences of non-road mobile sources on air quality in China, 2000–2019 C. Wen et al. 10.1016/j.envpol.2023.121404
- 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
- Real-time non-refractory PM1 chemical composition, size distribution and source apportionment at a coastal industrial park in the Yangtze River Delta region, China X. Huang et al. 10.1016/j.scitotenv.2020.142968
Latest update: 19 Apr 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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