Publications

Bold indicates HQP.

2026

  1. Zimmerman, N.. Toward Socially Responsive Ambient Air Quality Monitoring in the Era of Distributed Sensing. Environmental Science & Technology (2026). https://doi.org/10.1021/ACS.EST.6C01858

2025

  1. de Ferreyro Monticelli, D., Pham, C., Bhandari, S., Giang, A., Borduas-Dedekind, N., Zimmerman, N.. Following the smell: terpene emission profiles through the cannabis life-cycle. Environmental Science: Processes and Impacts 27:1823 – 1838 (2025). https://doi.org/10.1039/d5em00253b
  2. Gardner-Frolick, R., Jain, S., Martinussen, N., Chambliss, S., Jackson, D., Zimmerman, N., Giang, A.. Incorporating Community Knowledge Into Analysis of Air Quality Monitoring Network Data. GeoHealth 9 (2025). https://doi.org/10.1029/2025GH001378
  3. Chakraborty, M., Jain, S., Thornton, S., Aklin, M., Giang, A., Zimmerman, N.. Impact of residential cooking and heating on temporal changes of black carbon in rural India. Scientific Reports 15 (2025). https://doi.org/10.1038/s41598-025-18384-1

2024

  1. Jain, S., Gardner-Frolick, R., Martinussen, N., Jackson, D., Giang, A., Zimmerman, N.. Identification of Neighborhood Hotspots via the Cumulative Hazard Index: Results From a Community-Partnered Low-Cost Sensor Deployment. GeoHealth 8 (2024). https://doi.org/10.1029/2023GH000935
  2. Jain, S., Zimmerman, N.. Exploration of intra-city and inter-city PM2.5 regional calibration models to improve low-cost sensor performance. Journal of Aerosol Science 177 (2024). https://doi.org/10.1016/j.jaerosci.2024.106335
  3. Bhandari, S., de Ferreyro Monticelli, D., Xie, K., Ramkairsingh, A., Maher, R., Eykelbosh, A., Henderson, S.B., Zimmerman, N., Giang, A.. Odor, air quality, and well-being: understanding the urban smellscape using crowd-sourced science. Environmental Research: Health 2 (2024). https://doi.org/10.1088/2752-5309/ad5ded
  4. Malings, C., Amegah, K., Basart, S., Diez, S., Rosales, C.M.F., Zimmerman, N., Archer, J., Barreto, Á., Bi, J., Biggs, R., Castell, N.B., deSouza, P., Dye, T., Fujita, R., Giordano, M.R., Gonzalez, M.E., Hasenkopf, C., Hassani, A., Hodoli, C.G., Hofman, J., Huneeus, N.J., Jayaratne, R., Kroll, J.H., Labrador, L., Leghrib, R., Levy, R.C., Marques, T., Martins, L.D., McMahon, E., Mead, M.I., Molina, L.T., Montgomery, A., Morawska, L., Ning, Z., Peltier, R., Popoola, O., Rojas, N., Retama, A., Schneider, P., Shairsing, K., Strużewska, J., Tang, B., Van Poppel, M., Westervelt, D.M., Zhang, Y., Zheng, M.. Integrating Low-Cost Sensor Systems and Networks to Enhance Air Quality Applications. World Meteorological Organization, Global Atmospheric Watch (GAW) Programme Report No. 293 (2024). Report link
  5. Barkjohn, K.K., Clements, A., Mocka, C., Barrette, C., Bittner, A., Champion, W., Gantt, B., Good, E., Holder, A., Hillis, B., Landis, M.S., Kumar, M., MacDonald, M., Thoma, E., Dye, T., Archer, J., Bergin, M., Mui, W., Feenstra, B., Ogletree, M., Chester-Schroeder, C., Zimmerman, N.. Air Quality Sensor Experts Convene: Current Quality Assurance Considerations for Credible Data. ACS ES&T Air 1:1203-1214 (2024). https://doi.org/10.1021/ACSESTAIR.4C00125

2023

  1. Jain, S., Presto, A.A., Zimmerman, N.. Using spatiotemporal prediction models to quantify PM2.5 exposure due to daily movement. Environmental Science: Atmospheres 3:1665 – 1677 (2023). https://doi.org/10.1039/d3ea00051f
  2. Chakraborty, M., Giang, A., Zimmerman, N.. Performance evaluation of portable dual-spot micro-aethalometers for source identification of black carbon aerosols: Application to wildfire smoke and traffic emissions in the Pacific Northwest. Atmospheric Measurement Techniques 16:2333 – 2352 (2023). https://doi.org/10.5194/amt-16-2333-2023
  3. Kelly, C., Fawkes, J., Habermehl, R., de Ferreyro Monticelli, D., Zimmerman, N.. PLUME Dashboard: A free and open-source mobile air quality monitoring dashboard. Environmental Modelling and Software 160 (2023). https://doi.org/10.1016/j.envsoft.2022.105600

2022

  1. Rogak, S.N., Rysanek, A., Lee, J.M., Dhulipala, S.V., Zimmerman, N., Wright, M., Weimer, M.. The effect of air purifiers and curtains on aerosol dispersion and removal in multi-patient hospital rooms. Indoor Air 32 (2022). https://doi.org/10.1111/ina.13110
  2. de Ferreyro Monticelli, D., Bhandari, S., Eykelbosh, A., Henderson, S.B., Giang, A., Zimmerman, N.. Cannabis Cultivation Facilities: A Review of Their Air Quality Impacts from the Occupational to Community Scale. Environmental Science and Technology 56:2880 – 2896 (2022). https://doi.org/10.1021/acs.est.1c06372
  3. Zimmerman, N.. Tutorial: Guidelines for implementing low-cost sensor networks for aerosol monitoring. Journal of Aerosol Science 159 (2022). https://doi.org/10.1016/j.jaerosci.2021.105872

2021

  1. Liu, B., Zimmerman, N.. Fleet-based vehicle emission factors using low-cost sensors: Case study in parking garages. Transportation Research Part D: Transport and Environment 91 (2021). https://doi.org/10.1016/j.trd.2020.102635
  2. Jain, S., Presto, A.A., Zimmerman, N.. Spatial Modeling of Daily PM2.5, NO2, and CO Concentrations Measured by a Low-Cost Sensor Network: Comparison of Linear, Machine Learning, and Hybrid Land Use Models. Environmental Science and Technology 55:8631 – 8641 (2021). https://doi.org/10.1021/acs.est.1c02653
  3. Nguyen, P.D.M., Martinussen, N., Mallach, G., Ebrahimi, G., Jones, K., Zimmerman, N., Henderson, S.B.. Using low-cost sensors to assess fine particulate matter infiltration (Pm2.5) during a wildfire smoke episode at a large inpatient healthcare facility. International Journal of Environmental Research and Public Health 18 (2021). https://doi.org/10.3390/ijerph18189811
  4. Le Hong, Z., Zimmerman, N.. Air quality and greenhouse gas implications of autonomous vehicles in Vancouver, Canada. Transportation Research Part D: Transport and Environment 90 (2021). https://doi.org/10.1016/j.trd.2020.102676
  5. Song, R., Presto, A.A., Saha, P., Zimmerman, N., Ellis, A., Subramanian, R.. Spatial variations in urban air pollution: impacts of diesel bus traffic and restaurant cooking at small scales. Air Quality, Atmosphere and Health 14:2059 – 2072 (2021). https://doi.org/10.1007/s11869-021-01078-8
  6. Eykelbosh, A., Maher, R., de Ferreyro Monticelli, D., Ramkairsingh, A., Henderson, S., Giang, A., Zimmerman, N.. Elucidating the community health impacts of odours using citizen science and mobile monitoring. https://doi.org/10.5864/d2021-010 64:24-27 (2021). https://doi.org/10.5864/D2021-010

2020

  1. Zimmerman, N., Li, H.Z., Ellis, A., Hauryliuk, A., Robinson, E.S., Gu, P., Shah, R.U., Ye, Q., Snell, L., Subramanian, R., Robinson, A.L., Apte, J.S., Presto, A.A.. Improving correlations between land use and air pollutant concentrations using wavelet analysis: Insights from a low-cost sensor network. Aerosol and Air Quality Research 20:314 – 328 (2020). https://doi.org/10.4209/aaqr.2019.03.0124

2019

  1. Malings, C., Tanzer, R., Hauryliuk, A., Kumar, S.P., Zimmerman, N., Kara, L.B., Presto, A.A., Subramanian, R.. Development of a general calibration model and long-term performance evaluation of low-cost sensors for air pollutant gas monitoring. Atmospheric Measurement Techniques 12:903 – 920 (2019). https://doi.org/10.5194/amt-12-903-2019
  2. Li, H.Z., Gu, P., Ye, Q., Zimmerman, N., Robinson, E.S., Subramanian, R., Apte, J.S., Robinson, A.L., Presto, A.A.. Spatially dense air pollutant sampling: Implications of spatial variability on the representativeness of stationary air pollutant monitors. Atmospheric Environment: X 2 (2019). https://doi.org/10.1016/j.aeaoa.2019.100012
  3. Zimmerman, N., Rais, K., Jeong, C., Pant, P., Delgado-Saborit, J.M., Wallace, J.S., Evans, G.J., Brook, J.R., Godri Pollitt, K.J.. Carbonaceous aerosol sampling of gasoline direct injection engine exhaust with an integrated organic gas and particle sampler. Science of the Total Environment 652:1261 – 1269 (2019). https://doi.org/10.1016/j.scitotenv.2018.10.332
  4. Saha, P.K., Zimmerman, N., Malings, C., Hauryliuk, A., Li, Z., Snell, L., Subramanian, R., Lipsky, E., Apte, J.S., Robinson, A.L., Presto, A.A.. Quantifying high-resolution spatial variations and local source impacts of urban ultrafine particle concentrations. Science of the Total Environment 655:473 – 481 (2019). https://doi.org/10.1016/j.scitotenv.2018.11.197

2018

  1. Wang, J.M., Jeong, C., Zimmerman, N., Healy, R.M., Evans, G.J.. Real world vehicle fleet emission factors: Seasonal and diurnal variations in traffic related air pollutants. Atmospheric Environment 184:77 – 86 (2018). https://doi.org/10.1016/j.atmosenv.2018.04.015
  2. Omara, M., Zimmerman, N., Sullivan, M.R., Li, X., Ellis, A., Cesa, R., Subramanian, R., Presto, A.A., Robinson, A.L.. Methane Emissions from Natural Gas Production Sites in the United States: Data Synthesis and National Estimate. Environmental Science and Technology 52:12915 – 12925 (2018). https://doi.org/10.1021/acs.est.8b03535
  3. Maikawa, C.L., Zimmerman, N., Ramos, M., Shah, M., Wallace, J.S., Pollitt, K.J.G.. Comparison of airway responses induced in a mouse model by the gas and particulate fractions of gasoline direct injection engine exhaust. International Journal of Environmental Research and Public Health 15 (2018). https://doi.org/10.3390/ijerph15030429
  4. Zimmerman, N., Presto, A.A., Kumar, S.P.N., Gu, J., Hauryliuk, A., Robinson, E.S., Robinson, A.L., Subramanian, R.. A machine learning calibration model using random forests to improve sensor performance for lower-cost air quality monitoring. Atmospheric Measurement Techniques 11:291 – 313 (2018). https://doi.org/10.5194/amt-11-291-2018
  5. Saha, P.K., Robinson, E.S., Shah, R.U., Zimmerman, N., Apte, J.S., Robinson, A.L., Presto, A.A.. Reduced Ultrafine Particle Concentration in Urban Air: Changes in Nucleation and Anthropogenic Emissions. Environmental Science and Technology 52:6798 – 6806 (2018). https://doi.org/10.1021/acs.est.8b00910

Prior to UBC

  1. Wang, J.M., Jeong, C., Zimmerman, N., Healy, R.M., Hilker, N., Evans, G.J.. Real-World Emission of Particles from Vehicles: Volatility and the Effects of Ambient Temperature. Environmental Science and Technology 51:4081 – 4090 (2017). https://doi.org/10.1021/acs.est.6b05328
  2. Maikawa, C.L., Zimmerman, N., Rais, K., Shah, M., Hawley, B., Pant, P., Jeong, C., Delgado-Saborit, J.M., Volckens, J., Evans, G., Wallace, J.S., Godri Pollitt, K.J.. Murine precision-cut lung slices exhibit acute responses following exposure to gasoline direct injection engine emissions. Science of the Total Environment 568:1102 – 1109 (2016). https://doi.org/10.1016/j.scitotenv.2016.06.173
  3. Zimmerman, N., Wang, J.M., Jeong, C., Wallace, J.S., Evans, G.J.. Assessing the Climate Trade-Offs of Gasoline Direct Injection Engines. Environmental Science and Technology 50:8385 – 8392 (2016). https://doi.org/10.1021/acs.est.6b01800
  4. Zimmerman, N., Wang, J.M., Jeong, C., Ramos, M., Hilker, N., Healy, R.M., Sabaliauskas, K., Wallace, J.S., Evans, G.J.. Field Measurements of Gasoline Direct Injection Emission Factors: Spatial and Seasonal Variability. Environmental Science and Technology 50:2035 – 2043 (2016). https://doi.org/10.1021/acs.est.5b04444
  5. Healy, R., Wang, J., Jeong, C., Lee, A., Willis, M., Jaroudi, E., Zimmerman, N., Hilker, N., Murphy, M., Eckhardt, S., Stohl, A., Abbatt, J., Wenger, J., Evans, G.. Light-absorbing properties of ambient black carbon and brown carbon from fossil fuel and biomass burning sources. Journal of Geophysical Research 120:6619 – 6633 (2015). https://doi.org/10.1002/2015JD023382
  6. Zimmerman, N., Jeong, C., Wang, J.M., Ramos, M., Wallace, J.S., Evans, G.J.. A source-independent empirical correction procedure for the fast mobility and engine exhaust particle sizers. Atmospheric Environment 100:178 – 184 (2015). https://doi.org/10.1016/j.atmosenv.2014.10.054
  7. Wang, J., Jeong, C., Zimmerman, N., Healy, R., Wang, D., Ke, F., Evans, G.. Plume-based analysis of vehicle fleet air pollutant emissions and the contribution from high emitters. Atmospheric Measurement Techniques 8:3263 – 3275 (2015). https://doi.org/10.5194/amt-8-3263-2015
  8. Zimmerman, N., Godri Pollitt, K.J., Jeong, C., Wang, J.M., Jung, T., Cooper, J.M., Wallace, J.S., Evans, G.J.. Comparison of three nanoparticle sizing instruments: The influence of particle morphology. Atmospheric Environment 86:140 – 147 (2014). https://doi.org/10.1016/j.atmosenv.2013.12.023
  9. Epling, W.S., Yezerets, A., Currier, N., Hess, H.S., Chen, H., Russell, A., Venkov, M., Zimmerman, N.. Spatially-resolved thermal degradation induced temperature pattern changes along a commercial lean NOX trap catalyst. SAE International Journal of Fuels and Lubricants 3:723 – 732 (2010). https://doi.org/10.4271/2010-01-1214