Improving spatial representation of global ship emissions inventories

College of Marine and Earth Studies, University of Delaware, Robinson Hall, Newark, Delaware 19716, USA.
Environmental Science and Technology (Impact Factor: 5.48). 02/2008; 42(1):193-9. DOI: 10.1021/es0700799
Source: PubMed

ABSTRACT Ship activity patterns depicted by the International Comprehensive Ocean-Atmosphere Data Set (ICOADS), the Automated Mutual-Assistance Vessel Rescue System (AMVER) data set, and their combination demonstrate different spatial and statistical sampling biases. These differences could significantly affect the accuracy of ship emissions inventories and atmospheric modeling. We demonstrate (using ICOADS) a method to improve global-proxy representativeness by trimming over-reporting vessels that mitigates sampling bias, augment the sample data set, and account for ship heterogeneity. Apparent underreporting to ICOADS and AMVER by ships near coastlines, perhaps engaged in coastwise (short sea) shipping especially in Europe, indicates that bottom-up regional inventories may be more representative locally. Primarily due to the long time series available publicly for ICOADS data, the improved ICOADS data set may be the most appropriate global ship traffic proxy identified to date to be used for a top-down approach. More generally, these three spatial proxies can be used together to perform uncertainty analyses of ship air-emissions impacts on a global scale (

  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Society's growing pro-ecological pressure has made atmosphere pollution by marine diesel engine exhausts one of the main problems of marine environment protection of recent years. In order to determine the share of vessels in atmospheric air pollution and to counteract the harmful effects of toxic compounds in marine engines exhausts, it is necessary to know the emission values of these compounds from particular vessels, which is possible if one knows the vessel movement parameters, concentration values of particular compounds for these parameters and the atmos-pheric conditions in the area they are staying in. The work presents conditions concerning the modelling of harmful compounds emission of engine exhausts based on the example of ships sailing in the Gulf of Gdańsk region, using infor-mation from AIS system.
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Recent gas discoveries in the eastern Mediterranean Sea led to multiple operations with substantial economic interest, and with them there is a risk of oil spills and their potential environmental impacts. To examine the potential spatial distribution of this threat, we created seasonal maps of the probability of oil spill pollution reaching an area in the Israeli coastal and exclusive economic zones, given knowledge of its initial sources. We performed simulations of virtual oil spills using realistic atmospheric and oceanic conditions. The resulting maps show dominance of the alongshore northerly current, which causes the high probability areas to be stretched parallel to the coast, increasing contamination probability downstream of source points. The seasonal westerly wind forcing determines how wide the high probability areas are, and may also restrict these to a small coastal region near source points. Seasonal variability in probability distribution, oil state, and pollution time is also discussed.
    Marine Pollution Bulletin 12/2015; 91:347-356. DOI:10.1016/j.marpolbul.2014.10.050 · 2.79 Impact Factor
  • Source
    Atmospheric Chemistry and Physics 01/2013; 13(8):4183-4201. DOI:10.5194/acp-13-4183-2013 · 5.51 Impact Factor

Full-text (2 Sources)

Available from
May 26, 2014