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Qiang Pu, Ph.D.

Assistant Professor
Behavioral Science and Health Equity

Fellow of the Taylor Geospatial Institute

Courses Taught

PUBH5500 Place and Health

Education

Ph.D., Geography, The State University of New York at Buffalo

M.S., Cartography and Geographical Information Engineering, Central South University (Changsha, China)

B.S., Geomatics Engineering, Central South University (Changsha, China)

Research Interests

Air Pollution, Machine Learning and Spatial Statistics, Climate and Health, GIScience and Environmental Health

Publications and Media Placements

  • Jin, Z., Pu, Q., Janechek, N., Zhang, H., Wang, J., Chang, H., & Liu, Y. (2024). A MAIA-like modeling framework to estimate PM2.5 mass and speciation concentrations with uncertainty. Remote Sensing of Environment, 303, 113995.
  • Zhang, D., Wang, W., Xi, Y., Bi, J., Hang, Y., Zhu, Q., Pu, Q., Chang, H. & Liu, Y. (2023). Wildland fires worsened population exposure to PM2.5 pollution in the contiguous united states. Environmental Science & Technology, 57(48), 19990-19998.
  • Pu, Q., & Yoo, E. H. (2022). A gap-filling hybrid approach for hourly PM2.5 prediction at high spatial resolution from multi-sourced AOD data. Environmental Pollution, 315, 120419.
  • Pu, Q., & Yoo, E. H. (2021). Ground PM2.5 prediction using imputed MAIAC AOD with uncertainty quantification. Environmental Pollution, 274, 116574.
  • Yoo, E. H., Pu, Q., Eum, Y., & Jiang, X. (2021). The impact of individual mobility on long-term exposure to ambient PM2.5: Assessing effect modification by travel patterns and spatial variability of PM2.5. International Journal of Environmental Research and Public Health, 18(4), 2194.
  • Pu, Q., Yoo, E. H., Rothstein, D. H., Cairo, S., & Malemo, L. (2020). Improving the spatial accessibility of healthcare in North Kivu, Democratic Republic of Congo. Applied Geography, 121, 102262.
  • Pu, Q., & Yoo, E. H. (2020). Spatio-temporal modeling of PM2.5 concentrations with missing data problem: A case study in Beijing, China. International Journal of Geographical Information Science, 34(3), 423-447.
  • Zou, B., Pu, Q., Bilal, M., Weng, Q., Zhai, L., & Nichol, J. E. (2016). High-resolution satellite mapping of fine particulates based on geographically weighted regression. IEEE Geoscience and Remote Sensing Letters, 13(4), 495-499.

Professional Organizations and Associations

  • American Geophysical Union (AGU)
  • American Association of Geographers (AAG)
  • International Society for Environmental Epidemiology (ISEE)