Hello, I am Zongrun. I am currently a Georgia Tech PhD student in LAMDA(λ) : Laboratory for Atmospheric Modeling, Diagnostics and Analysis advised by M. Talat Odman and Ted Russell. My PhD research topics including:
  • Coupling fire-behavior model with chemical transport model.
  • Estimation of prescribed fire emissions from remote sensing datasets.
  • Health impacts of prescribed fires.
  • Tradeoffs between wildfires and prescribed fires.
  • Deep learning driven prescribed fire forecast system.

Before I joined the PhD program, I received a Master of Computational Science and Engineering (CSE) from Georgia Tech and Bachelor of Science in Environmental Science and Applied Mathematics from Nankai University.
Zongrun Li

zli867 at gatech.edu

Georgia Tech
Atlanta

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Publications

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  • Associations between PM2.5 from prescribed burning and emergency department visits in 11 Southeastern US states

    Jennifer D. Stowell, Kamal J. Maji, Zongrun Li , Yongtao Hu, Ambarish Vaidyanathan, Chad Milando, Armistead G. Russell, Patrick L. Kinney, M. Talat Odman, Gregory A. Wellenius Environment International , 2025, DOI: https://doi.org/10.1016/j.envint.2025.109770

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  • Formation of Ozone and PM2.5 in Smoke from Prescribed Burning in the Southeastern United States

    Rime El, Zongrun Li , Haofei Yu, Susan O’Neill, David J. Tanner, L. Gregory Huey, M. Talat Odman, Rodney J. Weber ACS ES\&T Air , 2025, DOI: 10.1021/acsestair.4c00231

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  • The Trade-offs between Wildfires and Prescribed Fires: A Case Study for 2016 Gatlinburg Wildfires

    Zongrun Li , Ambarish Vaidyanathan, Kamal J. Maji, Yongtao Hu, Susan M. O’Neill, Armistead G. Russell, M. Talat Odman ACS ES\&T Air , 2025, DOI: 10.1021/acsestair.4c00233

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  • Prescribed burn related increases of population exposure to PM2.5 and O3 pollution in the southeastern US over 2013–2020

    Kamal J. Maji, Zongrun Li , Yongtao Hu, Ambarish Vaidyanathan, Jennifer D. Stowell, Chad Milando, Gregory Wellenius, Patrick L. Kinney, Armistead G. Russell, M. {Talat Odman} Environment International , 2024, DOI: https://doi.org/10.1016/j.envint.2024.109101

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  • Estimated Impacts of Prescribed Fires on Air Quality and Premature Deaths in Georgia and Surrounding Areas in the US, 2015–2020

    Kamal J. Maji, Zongrun Li , Ambarish Vaidyanathan, Yongtao Hu, Jennifer D. Stowell, Chad Milando, Gregory Wellenius, Patrick L. Kinney, Armistead G. Russell, M. Talat Odman Environmental Science \& Technology , 2024, DOI: 10.1021/acs.est.4c00890

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  • Impact of the 2022 New Mexico, US wildfires on air quality and health

    Kamal J. Maji, Bonne Ford, Zongrun Li , Yongtao Hu, Leiqiu Hu, Chelsea Eastman Langer, Colin Hawkinson, Srikanth Paladugu, Stephanie Moraga-McHaley, Brian Woods, Melissa Vansickle, Christopher K. Uejio, Courtney Maichak, Olivia Sablan, Sheryl Magzamen, Jeffrey R. Pierce, Armistead G. Russell Science of The Total Environment , 2024, DOI: https://doi.org/10.1016/j.scitotenv.2024.174197

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  • A multi-site passive approach to studying the emissions and evolution of smoke from prescribed fires

    R. El, Z. Li, D. J. Tanner, Y. Hu, S. O'Neill, L. G. Huey, M. T. Odman, R. J. Weber Atmospheric Chemistry and Physics , 2024, DOI: 10.5194/acp-24-12749-2024

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  • Predicting PM2.5 levels and exceedance days using machine learning methods

    Ziqi Gao, Khanh Do, Zongrun Li , Xiangyu Jiang, Kamal J. Maji, Cesunica E. Ivey, Armistead G. Russell Atmospheric Environment , 2024, DOI: https://doi.org/10.1016/j.atmosenv.2024.120396

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  • An Analysis of Prescribed Fire Activities and Emissions in the Southeastern United States from 2013 to 2020

    Zongrun Li , Kamal J. Maji, Yongtao Hu, Ambarish Vaidyanathan, Susan M. O’Neill, M. Talat Odman, Armistead G. Russell Remote Sensing , 2023, DOI: 10.3390/rs15112725

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  • Application of an improved gas-constrained source apportionment method using data fused fields: A case study in North Carolina, USA

    Ran Huang, Zongrun Li , Cesunica E. Ivey, Xinxin Zhai, Guoliang Shi, James A. Mulholland, Robert Devlin, Armistead G. Russell Atmospheric Environment , 2022, DOI: https://doi.org/10.1016/j.atmosenv.2022.119031

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Projects

  • CMAQ-HDDM and Observation-derived Ozone Isopleths
    Corresponding to Comparison of Chemical Transport Model and Observation Derived Ozone-NOx-VOC Isopleths for the South Coast Air Basin of California

  • SERDP Simulations
    Corresponding to Comparisons of High-Spatiotemporal Resolution Air Quality Modeling Frameworks for Prescribed Burning Simulations at Military Bases in the Southeastern United States

  • BlueSky Configuration Resources
    Generate a Json format files for running BlueSky Framework.

  • BlueSky-provided CMAQ Emissions
    The is a Python-based function to convert BlueSky pipeline outputs to 4D dimensional point-based fire emissions (TIME × X × Y × LAYERS).

  • Data Fusion
    The is a Python-based, user-friendly data fusion code. Fuse CMAQ with observational data to reduce CMAQ bias.
  • Prescribed Fire Detection Algorithm
    Burn-type differentiation for satellite-derived fire detection products. Seperate wildfires, Rx fires, and agricultural burning.

Peer Review

  • Reviewer of International Journal of Wildland Fire, 2024
  • Reviewer of ACS ES&T Air, 2024, 2025
  • Reviewer of AGU Advances, 2025
  • Reviewer of Journal of Environmental Management, 2024, 2025
  • Reviewer of Journal of the Air & Waste Management Association, 2025

Talks

Plain Academic