Felix MasseyMSc Student Dr. Matthew Adams, supervisor
Research and Professional Interests
My research investigates the effectiveness of using various mobile monitoring methods to generate land-use regression (LUR) models to predict the spatial variation of ambient air pollution concentrations in five Canadian cities: Toronto, Mississauga, Hamilton, Montréal and Québec. The pollutants being monitored include nitrogen dioxide (NO2) and ozone (O3) which are sampled using bicycles equipped with low-cost air pollution sensors and a mobile air pollution laboratory with research-grade instruments. This study is significant because there are only a few passive air monitoring stations located throughout the region which may not capture the entire temporal and spatial complexity of air pollution. Mobile monitoring techniques are used to obtain spatially-varying air pollution estimates across a mix of land-use conditions and socioeconomic regions. The LUR models produced from this study can be used to generate interpolated continuous pollution surfaces across the region to identify exposure levels at unobserved locations while also assessing the effectiveness of pollution modelling using low-cost sensors. This research provides an evidence-based assessment of nitrogen dioxide and ozone pollution exposure which could be employed for administrative purposes and designing local air pollution monitoring systems.
- 2018 Felix Massey, Haseeb Malik, Karl Chastko, Matthew Adams. Spatial Modelling of Particulate Matter Air Pollution in Charlotte NC with Citizen Science Monitoring. Canadian Association of Geographers Ontario Division (CAGONT 2018)
- 2018 Felix Massey, Haseeb Malik, Matthew Adams. Leveraging Citizen Science for Air Pollution Modelling. Smarti Gras 2018 – Summer Undergraduate Research Celebration at UTM