Ship exhaust emissions need to be calculated at fine spatial and temporal resolutions because chemical transport processes depend on meteorological conditions that have a high degree of spatial and temporal variability. These emissions can also occur in environments that are affected by spatially and temporally varying emissions from other sources. Ship exhaust emissions are calculated using activity data from the Automatic Identification System. The activity data are combined with ship specific technical data. Hourly emissions are obtained for 2014 over the region within 300 km of Sydney at approximately 1 km resolution. These data are aggregated regionally and by vessel type to examine variability at different temporal resolutions. Cruise ship emissions vary both seasonally and diurnally, with low activity in winter and high activity in spring and summer. Diurnal variability is associated with a preference for hoteling at berth during the day and cruising at sea overnight. Emissions from the Sydney Harbour ferries have a strong but more complex diurnal variation that is affected by work related commuting. Monthly variability is also described for other ship types that visited the four major ports in the region. Spatial cell activity hours are analysed to explain large differences in the average spatial extent of the emissions at different temporal resolutions, the accuracy with which the hourly emission rates are estimated using longer term emissions, and the suitability of generalised temporal profiles to describe the emissions data. Regression analysis is used to model the spatial extent of the hourly and daily emissions.

Item Type:	Refereed Article
Keywords:	ship exhaust emissions, AIS activity data, regional inventory, time varying emissions, gridded hourly emissions, gridded activity hours
Research Division:	Engineering
Research Group:	Maritime engineering
Research Field:	Marine engineering
Objective Division:	Environmental Management
Objective Group:	Air quality, atmosphere and weather
Objective Field:	Air quality
UTAS Author:	Goldsworthy, B (Mr Brett Goldsworthy)
UTAS Author:	Enshaei, H (Dr Hossein Enshaei)
UTAS Author:	Jayasinghe, S (Dr Shantha Jayasinghe Arachchillage)
ID Code:	135442
Year Published:	2019
Web of Science® Times Cited:	1
Deposited By:	Seafaring
Deposited On:	2019-10-21
Last Modified:	2019-11-15
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