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Comparison of large-scale ship exhaust emissions across multiple resolutions: From annual to hourly data

Goldsworthy, BL ORCID: 0000-0003-3984-334X, Enshaei, H ORCID: 0000-0002-5649-7015 and Jayasinghe, S ORCID: 0000-0002-3304-9455 2019 , 'Comparison of large-scale ship exhaust emissions across multiple resolutions: From annual to hourly data' , Atmospheric Environment, vol. 214 , pp. 1-14 , doi: 10.1016/j.atmosenv.2019.116829.

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Ship exhaust emissions need to be calculated at fine spatial and temporal resolutions because chemical transportprocesses depend on meteorological conditions that have a high degree of spatial and temporal variability. Theseemissions can also occur in environments that are affected by spatially and temporally varying emissions fromother sources. Ship exhaust emissions are calculated using activity data from the Automatic IdentificationSystem. The activity data are combined with ship specific technical data. Hourly emissions are obtained for 2014over the region within 300 km of Sydney at approximately 1 km resolution. These data are aggregated regionallyand by vessel type to examine variability at different temporal resolutions. Cruise ship emissions vary bothseasonally and diurnally, with low activity in winter and high activity in spring and summer. Diurnal variabilityis associated with a preference for hoteling at berth during the day and cruising at sea overnight. Emissions fromthe Sydney Harbour ferries have a strong but more complex diurnal variation that is affected by work relatedcommuting. Monthly variability is also described for other ship types that visited the four major ports in theregion. Spatial cell activity hours are analysed to explain large differences in the average spatial extent of theemissions at different temporal resolutions, the accuracy with which the hourly emission rates are estimatedusing 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: Article
Authors/Creators:Goldsworthy, BL and Enshaei, H and Jayasinghe, S
Keywords: ship exhaust emissions, AIS activity data, regional inventory, time varying emissions, gridded hourly emissions, gridded activity hours
Journal or Publication Title: Atmospheric Environment
Publisher: Elsevier
ISSN: 1352-2310
DOI / ID Number: 10.1016/j.atmosenv.2019.116829
Copyright Information:

Copyright 2019 Elsevier Ltd.

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