Ling Qi
Education & Working Experience
2025.7-now，University of Science and Technology Beijing, Associate Professor
2020.08-2025.07，University of Science and Technology Beijing, Assistant Professor
2017.03-2020.08，Tsinghua University，Postdoctoral Fellow
2011.07-2016.12，University of California, Los Angeles, PhD
2008.9-2011.7，Peking University，MS
2004.9-2008.7，Peking University，BS
Courses：
Environmental Information System（For undergraduates, in Chinese）
Environmental Chemistry（For graduates, in English）
Air quality modeling and its application（For graduates, in English）
Students wanted:
Admit graduate students.
Our research group primarily uses atmospheric chemical transport models as the main research tool, along with Python, R, and other programming languages for data analysis. Students who are interested in model simulation and data analysis are welcome to join us. Together, we will uncover the secret hidden in the data.
Research Topics:
Formation mechanisms, Sources, and Health Impacts of Air Pollution
1. Air Quality and Health Impacts of the Synergistic Pathways for Pollution and Carbon Reduction
2. Formation Mechanisms of PM2.5 and O3 Pollution
3. High-Resolution Spatiotemporal Source Apportionment of PM2.5 and O3 Pollution
Recent projects:
1. Key Technology Research for Emission Standard Development Based on Carbon-Pollution Monitoring, Accounting, and Synergistic Control in the Beijing-Tianjin-Hebei Region, Major Special Project of the Ministry of Ecology and Environment on Comprehensive Environmental Governance in the Beijing-Tianjin-Hebei Region, 2025–2028.
2. Modeling of Individual Exposure to Air Pollution and High Temporal Resolution Parameter Set Development, National Key Research and Development Program of the Ministry of Science and Technology, 2022–2025.
3. High-Resolution Spatiotemporal Control Strategies for PM2.5 Heavy Pollution in Beijing, General Program of the Beijing Natural Science Foundation, 2022–2025.
4. High-Resolution Population Exposure Assessment to Fine Particulate Matter in China Based on Infiltration Coefficient, Fundamental Research Funding for the Central Universities (University of Science and Technology Beijing), 2020–2022.
5. Impacts of Morphology and Mixing State on the Optical Properties of Black Carbon Aerosols, Young Scientists Fund of the National Natural Science Foundation of China, 2019–2021.
Recent publications：
1. Qi, L., Haotian Zheng, Dian Ding, Shuxiao Wang, A comparison of meteorological normalization of PM2.5 by multiple linear regression, general additive model, and random forest methods, Atmospheric Environment, 338 120854, https://doi.org/10.1016/j.atmosenv.2024.120854, 2024
2. Qi, L., Jikun Yin, Jiaxi Li and Xiaoli Duan, Detecting causal relationships between fine particles and ozone based on observations in four typical cities of China, Environmental Research Letters, 19, 054006, https://doi.org/10.1088/1748-9326/ad376d, 2024
3. Chen, Xiaoshi, L. Qi, Sai Li, Xiaoli Duan Long-term NO2 exposure and mortality: A comprehensive meta-analysis, Environmental Pollution, 122971, https://doi.org/10.1016/j.envpol.2023.122971, 2024.
4. Qi, L., Zhige Tian, Nan Jiang, Fangyuan Zheng, Yuchen Zhao, Yishuo Geng, Xiaoli Duan, Collaborative control of fine particles and ozone required in China for health benefit, Frontiers of Environmental Science & Engineering, 17(8), 92, https://doi.org/10.1007/s11783-023-1692-2, 2023.
5. Qi, L., Haotian Zheng, Dian Ding, and Shuxiao Wang, Responses of sulfate and nitrate to anthropogenic emission changes in eastern China - in perspective of long-term variations, Science of the Total Environment, 855, 158875, http://dx.doi.org/10.1016/j.scitotenv.2022.158875, 2023.
6. Qi, L., Haotian Zheng, Dian Ding, Dechao Ye and Shuxiao Wang, Effects of Meteorology Changes on Inter‐Annual Variations of Aerosol Optical Depth and Surface PM2.5 in China—Implications for PM2.5 Remote Sensing, Remote Sensing, 14, 2762, https://doi.org/10.3390/rs14122762, 2022.
7. Qi, L., Haotian Zheng, Dian Ding, Dechao Ye and Shuxiao Wang, Effects of Anthropogenic Emission Control and Meteorology Changes on the Inter-Annual Variations of PM2.5–AOD Relationship in China, Remote Sensing, 14, 4683, https://doi.org/10.3390/rs14184683, 2022.
8. Qi, L., Anqi Fu, and Xiaoli Duan, Excess deaths associated with long-term exposure to ambient NO2 in China, Environmental Research Letters, 17, 124018, https://doi.org/10.1088/1748-9326/aca552, 2022.
9. Qi, L. and S.X. Wang, Fossil fuel combustion and biomass burning sources of global black carbon from GEOS-Chem simulation and carbon isotope measurements, Atmos. Chem. Phys., 19, 11545-11557, doi:10.5194/acp-19-11545-2019, 2019.
10. Qi, L. and S.X., Wang, Sources of black carbon in the atmosphere and in snow in the Arctic, Science of the Total Environment, 691, 442-454, doi:https://doi.org/10.1016/j.scitotenv.2019.07.073, 2019.
