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Monitoring and modelling of biological aerosols

Clancy, Jerry (2024) Monitoring and modelling of biological aerosols. PhD thesis, Dublin City University.

Abstract
The work completed had the primary aim of providing fungal spore monitoring capabilities to the previously established Irish Pollen Network. This in turn lead to the creation of the first Irish Bioaerosol Network for the simultaneous measurement of both pollen and fungal spores. The network was established by traditional and real-time monitoring methods into the previously disparate traditional sampling network (Dublin and Carlow). Full integration of sites in Cork and Sligo, and the collected fungal spore data from all sites are being utilized to create an Irish fungal spore network. This work primarily focused on the fungal spores in the ambient air, which have human health and agricultural implications, with information on this being of great help to allergy sufferers as well as the farming community, which is particularly susceptible to changes in fungal spore concentrations, as they can damage crops. The work involved a set of traditional device campaigns, from the analysis of old data collected decades ago, to the collection of our own data at various sites nationwide. After this, several novel spectroscopic techniques such as the WIBS-NEO and IBAC were implemented in a test centre in Dublin as part of a real-time monitoring campaign for detection of ambient fungal spores, to determine the suitability of these instruments for deployment in a wider multi-site sampling network. Finally, data generated via both traditional and novel methods along with collected meteorological and pollution data was combined, and the process of developing and refining a set of forecasting algorithms was carried out, with a view to have full forecasting and predictive models in operation in the near future.
Metadata
Item Type:Thesis (PhD)
Date of Award:March 2024
Refereed:No
Supervisor(s):O'Connor, David
Subjects:Biological Sciences > Botany
Humanities > Biological Sciences > Botany
Computer Science > Machine learning
Physical Sciences > Analytical chemistry
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Science and Health > School of Chemical Sciences
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 License. View License
Funders:Irish Reserach Council, Irish EPA
ID Code:29434
Deposited On:26 Mar 2024 09:29 by David O'connor . Last Modified 26 Mar 2024 09:29
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