B.A.Sc. (University of Waterloo), Ph.D. (University of Toronto), Postdoctoral Fellowship (Carnegie Mellon University)
A core objective of atmospheric science is to improve air quality. This is motivated by recent estimates that air pollution exposure is the fourth leading cause of premature mortality globally. Furthermore, many sources of air pollutants are co-emitters of climate-forcing agents, such as greenhouse gases and black carbon, and thus air quality and climate science are intricately related fields. Emissions of air and climate pollutants may be effectively co-managed using well-crafted environmental policy or through technology shifts. However, the effectiveness of any given policy or technology decision on air quality and climate outcomes is often difficult to quantify due to the rapid pace of technology change and research methods that poorly represent real-world pollutant behaviour.
My research program revolves around the development and application of real-world-based tools to quickly and quantitatively assess the impact of our policy and technology decisions on air pollution and climate outcomes, and to use the knowledge gained to support better environmental policy planning.
As part of this work, students are part of interdisciplinary teams and engage with a range of relevant stakeholders, including colleagues in other departments at UBC (e.g., Liu Institute, IRES), non-profits, and regulatory agencies.
Current Research Work
- Assessment of spatial heterogeneity of air pollutants using high spatiotemporal resolution monitoring networks to reduce exposure and promote environmental justice
- Quantification of the role new transportation technology (e.g., LNG, connected vehicles, autonomous vehicles) on air and climate
- Understanding the impact of renewable energy technology in developing countries (e.g. solar microgrids) on combined air, climate and socioeconomic outcomes
- N. Zimmerman, A.A. Presto, S.P.N. Kumar, J. Gu, A. Hauryliuk, E.S. Robinson, A.L. Robinson, R. Subramanian “Closing the gap on lower cost air quality monitoring: machine learning calibration models to improve low-cost sensor performance”. Atmos. Meas. Tech., in review, 2017.
- C.L. Maikawa, N. Zimmerman, M. Ramos, M. Shah, J. S. Wallace, K. J. Godri Pollitt, “Comparison of airway responses induced in a mouse model by the gas and particulate fractions of gasoline direct injection engine exhaust”. Sci. Total Environ., in review, 2017.
- J.M. Wang, C.-H. Jeong, N. Zimmerman, R. Healy, N. Hilker, G.J. Evans, “Real-World Emission of Particles from Vehicles: Volatility and the Effects of Ambient Temperature”. Environ. Sci. Technol., 51 (7), 4081-4090, 2017.
- N. Zimmerman, J. M. Wang, C.-H. Jeong, J.S. Wallace, G.J. Evans, “Assessing the climate trade-offs of gasoline direct injection engines”. Environ. Sci. Technol., 50 (15) 8385-8392, 2016.
- N. Zimmerman, J.M. Wang, C.-H. Jeong, N. Hilker, R.M. Healy, K. Sabaliauskas, J.S. Wallace, G.J. Evans, “Field measurement of gasoline direct injection emission factors: spatial and seasonal variability”. Environ. Sci. Technol., 50 (4), 2035-2043, 2016.
- J.M. Wang, C.-H. Jeong, N. Zimmerman, R. Healy, D.K. Wang, F. Ku, G.J. Evans, “Plume-based analysis of vehicle fleet air pollutant emissions and the contribution of high emitters”, Atmos. Meas. Tech., 8, 3263-3275, 2015.
- N. Zimmerman, C.-H. Jeong, J.M. Wang, M. Ramos, J.S. Wallace, G.J. Evans, “A source-independent empirical correction procedure for the fast mobility and engine exhaust particle sizers”, Atmos. Environ., 100, 178-184, 2015.
- N. Zimmerman, K.J. Godri Pollitt, C.-H. Jeong, J.M. Wang, T. Jung, J.M. Cooper, J.S. Wallace, G.J. Evans, “Comparison of three nanoparticle sizing instruments: the influence of particle morphology”, Atmos. Environ., 86, 140-147, 2014.