Using a network of low-cost particle sensors to assess the impact of ship emissions on a residential community

, , , , , , , Maddox, Jill, Fisher, Gavin, & (2020) Using a network of low-cost particle sensors to assess the impact of ship emissions on a residential community. Aerosol and Air Quality Research, 20(12), pp. 2754-2764.

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Shipping emissions are known to affect communities in coastal locations, especially near harbours. This study monitored the air quality near the premier cruise ship terminal in Melbourne over a continuous period of 98 days during the peak cruise ship season in Australia. As shipping emission plumes are intermittent and fluctuate spatially, they cannot be detected accurately by a single fixed monitor. To overcome this limitation, we deployed seven units of the low-cost KOALA air quality monitor, which measures PM2.5 and CO concentrations in real time and then transmits the data via 3G to an in-cloud database, in a spatially distributed configuration, four at ground level and three on the upper balconies of two high-rise apartment blocks. The time profile showed numerous spikes in the PM2.5 concentration, some of which exceeded 200 µg m 3 for periods of 5–10 min, coinciding with ship movements. On average, the spikes were ~4–5 times above the normal background value (~10 µg m–3). Because of their very short duration, these episodes did not significantly raise the 24-h averages at any of the locations; however, they increased the number of days on which these values exceeded the limit specified by the national air quality standard, resulting in more exceedance days for the monitored area than the nearest air quality station. Although the long-term health effects of elevated PM concentrations are known, few studies have been conducted on the risks of short-term exposures to extreme spikes.

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11 citations in Scopus
5 citations in Web of Science®
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ID Code: 205032
Item Type: Contribution to Journal (Journal Article)
Refereed: Yes
ORCID iD:
Jayaratne, Rohanorcid.org/0000-0002-4315-4937
Kuhn, Taraorcid.org/0000-0002-3854-6522
Christensen, Bryceorcid.org/0000-0002-2309-7090
Dunbabin, Mattheworcid.org/0000-0003-0806-7720
Morawska, Lidiaorcid.org/0000-0002-0594-9683
Measurements or Duration: 11 pages
Additional URLs:
DOI: 10.4209/aaqr.2020.06.0280
ISSN: 1680-8584
Pure ID: 68776898
Divisions: Current > Research Centres > Centre for the Environment
Current > Research Centres > Centre for Robotics
Past > Institutes > Institute for Future Environments
Past > QUT Faculties & Divisions > Science & Engineering Faculty
Current > QUT Faculties and Divisions > Faculty of Science
Current > Schools > School of Earth & Atmospheric Sciences
Current > QUT Faculties and Divisions > Faculty of Engineering
Current > Schools > School of Electrical Engineering & Robotics
Copyright Owner: The Author(s) 2020
Copyright Statement: This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au
Deposited On: 30 Sep 2020 00:30
Last Modified: 04 Apr 2024 05:52