Lecturer

Email: Aoife.Donnelly@TUDublin.ie

Tel: (01) 220 5657

LinkedIn    ResearchGate    ORCID

Background

Dr. Aoife Donnelly completed a Ph.D. in Engineering in Trinity College Dublin focused on modelling background air pollution in Ireland. Thereafter she worked in private industry as an Environmental analyst specialising in emissions and odour control, developing evidence based recommendations on interventions to reduce the environmental and public health impact of industry operations. She was then awarded an EPA fellowship and went on to complete Post-Doctoral Research at Trinity College Dublin during which she developed an air quality forecast model for Ireland. The model allows predictions of all major air pollutants in Ireland and predictions of the Air Quality Index for Health. Since 2016 she is a lecturer in environmental sciences, environmental protection, planning policy and health impacts in the School of Food Science and Environmental Health at Technological University Dublin (TU Dublin).

Research interests

Her research interests are transdiciplinary with a focus on applying Innovate techniques in spatio-temporal statistical and deterministic modelling of environmental processes (specialising in air quality) to aid in the design of interventions to improve environmental health. Her interests include air pollution forecasting and the use of novel techniques to model both anthropogenic emissions and fungal spore concentrations.  Her collaborations have led to research in the area of population health benefits from blue and green exercise which aims to better understand the reciprocal benefits to be gained from human-nature interactions, sustainable physical activity, sustainable transportation (and active travel), engaged citizen science and pro-environmental behaviour.

Selected Publications

• MacIntyre, T.E., Walkin, A.M., Beckmann, J., Calogiuri, G., Gritzka, S., Oliver, G., Donnelly, A.A. and Warrington, G., 2019. An exploratory study of extreme sport athletes’ nature interactions: From well-being to pro-environmental behavior. Frontiers in psychology, 10, p.1233.Donnelly, Aoife A., and Tadhg E. MacIntyre, eds. Physical Activity in Natural Settings: Green and Blue Exercise. Routledge, 2019.

• Donnelly et al (2019). “Air quality modelling for Ireland”. EPA.  http://www.epa.ie/pubs/reports/research/air/Research_Report_270.pdf
• Naughton, O., Donnelly, A. et al. (2018). A land use regression model for explaining spatial variation in air pollution levels using a wind sector based approach. Science of the Total Environment, 630, 1324-1334.
• Donnelly, A. A., MacIntyre, T. E., O’Sullivan, N., Warrington, G., Harrison, A. J., Igou, E. R., Jones, M., Gidlow, C., Brick, N., Lahart, I., Cloak, R. & Lane, A. M. (2016) Environmental Influences on Elite Sport Athletes Well Being: From Gold, Silver, and Bronze to Blue Green and Gold. Frontiers in Psychology: Movement Science and Sport Psychology, 7, 1167. doi: 10.3389/fpsyg.2016.01167
• Donnelly, A., et al., B. 2016. Short-Term Forecasting of Nitrogen Dioxide (NO2) Levels Using a Hybrid Statistical and Air Mass History Modelling Approach. Environmental Modeling & Assessment, 1-11. 
• Donnelly, A. et al. 2016. Maximizing the spatial representativeness of NO2 monitoring data using a combination of local wind-based sectoral division and seasonal and diurnal correction factors. Journal of Environmental Science and Health, Part A, 51, 1003-1011. 
• Donnelly, A. A., Broderick, B. & Misstear B. (2015). The effect of long-range air mass transport pathways on PM10 and NO2 concentrations at urban and rural background sites in Ireland: Quantification using clustering techniques. 
 Journal of Environmental Science and Health Part A Toxic/Hazardous Substances & Environmental Engineering, 50 (7), 647-58.
• Donnnelly, A. A., Misstear, B. & Broderick, B. (2015). Real time air quality forecasting using integrated parametric and non-parametric regression techniques. Atmospheric Environment, 103, 53-65. doi: 10.1016/j.atmosenv.2014.12.011
• Donnelly, A. A., Broderick, B. & Misstear B. (2011). A novel method for defining hourly background no2 and pm10 concentrations for use in local air quality modelling studies and comparison to existing practises. International Journal of Sustainable Development and Planning, 7(4):428-445. Doi: 10.2495/SDP-V7-N4-428-445
• Donnelly, A. A., Broderick, B. & Misstear B. (2011). Relating Background NO2 Concentrations in Air to Air Mass History Using Non-Parametric Regression Methods: Application at Two Background Sites in Ireland. Environmental Modeling and Assessment,17 (4)363-373. Doi:  10.1007/s10666-011-9301-3
• Donnelly, A. A., Misstear, B. & Broderick, B. (2011). Application of nonparametric regression methods to study the relationship between NO2 concentrations and local wind direction and speed at background sites, Science of The Total Environment, 409(6), 1134-1144.  Doi: 10.1016/j.scitotenv.2010.12.001