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Although the greening of the marine sector started over a decade ago, the emissions produced from ships and port operating equipment have been only recently perceived as issues to be addressed. On this basis, the International Maritime Organisation (IMO) decided to enact stricter sulphur limits on the fuel oil used by ships in Sulphur Oxide (SOx) Emission Control Areas in an effort to reduce the environmental impact of the vessel's bunkers. In this respect, the purpose of the paper is to quantify the cost implications of the IMO revised regulations on the shippers' traditional supply chain network design decisions through the development of a strategic Mixed Integer Linear Programming decision-support model. The applicability of the model is demonstrated on a realistic maritime supply chain operating within the East Asia—EU trade route. The results reveal that the implementation of the sulphur limits at the route's ports may not affect the shippers' network structure under the current fuel prices, as the optimally selected ports have cost effective hinterland transportation connections within the EU market, that make them preferable for the shipper, even though the network's shipping costs increase. [ABSTRACT FROM AUTHOR]

Abstract: The rapid growth of energy consumption in conjunction with economic development during past decades in East Asia, especially China, caused severe air pollution problems at local and regional scales. Understanding of the meteorological conditions for air pollution is essential to the understanding of the formation mechanism of air pollutants and the development of effective emission control strategies to reduce air pollution. In this paper, the Fifth Generation National Center for Atmospheric Research (NCAR)/Pennsylvania State University (PSU) Mesoscale Model (MM5) modeling system is applied to simulate meteorological fields during selected six 1-month periods in 2007/2008 over a triple-nested modeling domain covering East Asia, the eastern China, and Shandong Province at horizontal grid resolutions of 36-, 12-, and 4-km, respectively. MM5 generally reproduces well the observations in the eastern China but performs worse in the western China and northeastern China. Largest biases occur in 2-m temperatures (T2) and wind speed and wind direction at 10-m in haze months (i.e., winter) and daily mean precipitation (Precip) in non-haze months (i.e., summer), due to limitations of the model in simulating snow cover and convective precipitation. Meteorological predictions agree more closely with observations at urban sites than those at the coastal and mountain sites where the model performance deteriorates because of complex terrains, influences of urban heat island effect and land/sea breezes, and higher elevations. Model results at 12-km in Shandong Province show an overall better performance than those at 4- or 36-km while the results at 4-km show worst performance due to inaccurate land use and the model’s incapability in simulating meteorological processes at a fine scale. [Copyright &y& Elsevier]