Journal is indexed in following databases:

2022 Journal Impact Factor - 0.6
2022 CiteScore - 1.7




ISSN 2083-6473
ISSN 2083-6481 (electronic version)




Associate Editor
Prof. Tomasz Neumann

Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
Ship Emission Inventories in Estuary of the Yangtze River Using Terrestrial AIS Data
1 Wuhan University of Technology, Wuhan, China
ABSTRACT: Estuary forms a transition zone between inland river and open sea. In China, the estuary of the Yangtze River plays a vital role in connecting the inland and oversea shipping, and witnesses heavy vessel traffic in the recent decades. Nowadays, more attentions have been directed to the issue of ship pollution in busy waterways. In order to investigate the ship emission inventory, this paper presents an Automatic Identification System(AIS) based method. AIS data is the realistic data of vessel traffic including dynamic information (position, speed, course, etc.) and static information (ship type, dimensions, name, etc.). According to ship dimensions, the power of engines is estimated for different ship types. By using AIS based bottom-up approach, ship emission inventories and shares of air pollutants and GHGs (Greenhouse gases) are developed. Spatial distribution of ship emissions is illustrated in the form of heat map. As a case study, the emission inventories are analyzed using AIS data of 2010 in the estuary, and following results are made:(1) shares of the emission are cruise ships 6.59%, bulk carriers 5.16%, container ships 52.96%, tankers 15.16%, fishing ships 9.16%, other ships 10.97%; (2) CO2 is the dominant part of the emission. (3) Areas of highest emission intensity are generally clustered around the South Channel, the North Channel and ports in the vicinity. The proposed method is promising because it is derived from the AIS data which contains not only real data of individual ship but also vessel traffic situation in the study area. It can server as a reference for other researchers and policy makers working in this field.
Agrawal A, Aldrete G, Anderson B, et al. 2012. Port of Los Angeles Air Emissions Inventory. Starcrest consulting group, LLC, Los Angeles, USA.
Buhaug Ø, Corbett J J, Endresen Ø, et al. 2009. Second imoghg study 2009. International Maritime Organization(IMO), London, UK, 24.
Designation of an emission control area for Nitrogen Oxides Sulphur oxides and particulate matter.
IMO, MARINE ENVIRONMENT PROTECTION COMMITTEE,2010. Interpretations of and Amendments to MARPOL and related instruments 61st session.
FU Qing-yan, SHEN Yin, ZHANG Jian. 2012, On the ship pollutant emission inventory in Shanghai port. Journal of Safety and Environment, 12(2012); 57-64.
Kristensen H O. Determination of Regression Formulas for Main Dimensions of Tankers and Bulk Carriers Based on IHS Fairplay Data.Technical University of Denmark (2012) Project no. 2010-56, Emissionsbeslutningsstøttesystem. Work Package 2, Report No. 02.
Kristensen H O. Statistical Analysis and Determination of Regression Formulas for Main Dimensions of Containers Ships Based on IHS Fairplay Data. Technical University of Denmark (2012) Project no. 2010-56, Emissionsbeslutningsstøttesystem. Work Package 2, Report no. 03.
Kristensen H O, Lützen M. Prediction of Resistance and Propulsion Power of Ships. Technical University of Denmark and University of Southern Denmark (2012) Project no. 2010-56, Emissionsbeslutningsstøttesystem. Work Package 2, Report no. 04.
Jalkanen J P, Brink A, Kalli J, Pettersson H, Kukkonen J, Stip T. A Modelling System for the Exhaust Emissions of Marine Traffic and its Application in the Baltic Sea area. Atmos Chem Phys, 9 (2009), pp. 9209–9223.
JIN Tao-sheng, YIN Xiao-ge, XU Jia, et al. 2009. Air pollutants emission inventory from commercial ships of Tianjin Harbor. MARINE ENVIRONMENTAL SCIENCE, 28(2009), 623-625.
Hulskotte J H J, Gon H A C, Denier van der. 2010. Fuel consumption and associated emissions from seagoing ships at berth derived from an on-board survey. Atmospheric Environment, 44(2014), pp. 1229–1236.
Laurie Goldsworthy and Brett Goldsworthy. 2015. Modelling of ship engine exhaust emissions in ports and extensive coastal waters based on terrestrial AIS data – An Australian case study. Environmental Modelling & Software, 63(2015), pp. 45-60.
Morten Winther, Jesper H Christensen, Marlene S Plejdrup, Erik S Ravn, Ómar F Eriksson, Hans Otto Kristensen. Emission inventories for ships in the arctic based on satellite sampled AIS data. Atmospheric Environment,91(2014), pp. 1-14.
Smith T W P, Jalkanen J P, Anderson B A, Corbett J J, Faber J, Hanayama S, O'Keefe E, Parker S, Johansson L, Aldous L, Raucci C, Traut M, Ettinger S, Nelissen D, Lee D S, Ng S, Agrawal A, Winebrake J J, Hoen M, Chesworth S, Pandey A, 2014. Third IMO GHG Study 2014. International Maritime Organization, London, UK.
Schrooten Liesbeth, De Vlieger Ina, Panis Luc Int, et al. 2009. Emissions of maritime transport: A European reference system. Science of The Total Environment, 408(2009), pp. 318-323.
Eyring V, Koehler H W, Aardenne J van, Lauer A. Emission from international shipping: the last 50 years.JGR, 110 (D17305) (2005), pp. 2171–2194.
WEN Yuan-qiao, REN Jun-yong, LI Zhao-ran. 2016. Research of Ship Optimal Speed with Minimum Emissions in the Process of Ships Entering and Leaving Port. Journal of Wuhan University of Technology (Transportation Science & Engineering), 40(2016), 2095-3844.
YE Si-qi, ZHENG Jun-yu, PAN Yue-yun, et al. 2014. Marine emission inventory and its temporal and spatial characteristics in Guangdong Province. Acta Scientiae Circumstantiae, 34(2014), 537-547.
Citation note:
Yao X., Mou J.M., Chen P.F., Zhang X.: Ship Emission Inventories in Estuary of the Yangtze River Using Terrestrial AIS Data. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 10, No. 4, doi:10.12716/1001.10.04.13, pp. 633-640, 2016
Authors in other databases:
Xin Yao:
Xingjian Zhang:

Other publications of authors:

File downloaded 1236 times

Important: cookie usage
The website uses certain cookies. A cookie is a text-only string of information that the TransNav.EU website transfers to the cookie file of the browser on your computer. Cookies allow the website to perform properly and remember your browsing history. Cookies also help a website to arrange content to match your preferred interests more quickly. Cookies alone cannot be used to identify you.
Akceptuję pliki cookies z tej strony