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Comparison of large-scale ship exhaust emissions across multiple resolutions: From annual to hourly data
Citation
Goldsworthy, B and Enshaei, H and Jayasinghe, S, Comparison of large-scale ship exhaust emissions across multiple resolutions: From annual to hourly data, Atmospheric Environment, 214 Article 116829. ISSN 1352-2310 (2019) [Refereed Article]
Copyright Statement
Copyright 2019 Elsevier Ltd.
DOI: doi:10.1016/j.atmosenv.2019.116829
Abstract
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 Details
Item Type: | Refereed Article |
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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 |
Downloads: | 0 |
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