隶属于生态环境部城市空气颗粒物污染防治重点实验室，实验室网页：https://env.nankai.edu.cn/air/ 

1. 京津冀环境综合治理国家科技重大专项项目，2026—2029，课题负责人；

2. 国家自然科学基金面上项目，2026—2029，主持；

3. 国家自然科学基金青年项目，2021—2023，主持；

4. 国家重点研发计划项目，2022—2026, 子课题负责人；

5. 天津市第一批青年科技人才培养项目，2024—2026，主持。

1. 发表学术论文100余篇，累计引用6000余次，H指数41，部分代表性成果如下：

2. （1）Dai, Q.*, Bi, X., Zhang, Y., Feng, Y.* (2026). ”A Double MachineLearning Approach for Policy Evaluation Using Meteorologically Fixed Air Pollutant Time Series as an Emission Proxy.” ACS ES&T Air, 3, 1343−1351.

   （2）Chen J., Dai, Q.*, Zhang, X., Tian, Y., Feng, Y.,Hopke, P.K. (2025). “PMF Source Contribution Uncertainty Estimation via Effective Variance Least Squares”. ACS ES&T Air, 2, 12, 3045–3053.

   （3）Song, Y.†, Wu, H.†, Dai, Q.*,Liu, X., Zhang, Y., Feng, Y. (2024). “Differentiating periodic drivers of air quality changes: A two-step decomposition approach integrating machine learning and wavelet analysis.” Journal of Geophysical Research: Atmospheres,129(7), e2023JD039658.

   （4）Shao, M., Liu, X., Lv, S., Dai, Q.*, Mu, Q. (2024). “The importance of local thermal circulations in PM2.5 formation in a river valley: A case study from the lower Yangtze River,China.” Journal of Geophysical Research: Atmospheres, 129,e2023JD039717.

   （5）Dai, T., Dai, Q.*, Bi, X.,Wu, J., Liu, B., Zhang, Y., Feng, Y. (2023). “Measuring the emission changes and meteorological dependence of source-specific BC aerosol using factor analysis coupled with machine learning.” Journal of Geophysical Research: Atmospheres, 128(5), e2023JD038696.

   （6）Song, C., Liu, B., Cheng, K., Cole,M., Dai, Q.*, Elliott, R., Shi, Z.* (2023). “Attribution of Air Quality Benefits to Clean Winter Heating Polices in China: Combining Machine Learning with Causal Inference.” Environmental Science & Technology, 57,17707−17717.

   （7）Dai, Q., Dai, T., Hou, L., Li, L., Bi, X.,Zhang, Y.*, Feng, Y.* (2023). “Quantifying the impacts of meteorology and emissions on the inter-annual variation of air pollutants in major Chinese cities in 2015-2021.” Science China Earth Sciences, 66(8), 1725–1737.

   （8）Hou, L., Dai, Q.*, Song, C.,Liu, B., Guo, F., Dai, T., Li, L., Liu, B., Bi, X., Zhang, Y., Feng, Y. (2022).“Revealing drivers of haze pollution by explainable machine learning.” Environmental Science & Technology Letters, 9(2), 112–119.

   （9）Shao, M., Yang, J., Wang, J., Chen, P., Liu, B., Dai, Q.* (2022). “Co-occurrence of surface O3, PM2.5 pollution, and tropical cyclones in China.” Journal of Geophysical Research: Atmospheres, 127(14), e2021JD036310.

   （10）Dai, Q., Hou, L., Liu, B., Zhang, Y., Song,C., Shi, Z., Hopke, P. K., Feng, Y.* (2021). “Spring Festival and COVID-19 Lockdown: Disentangling PM Sources in Major Chinese Cities.” Geophysical Research Letters, 48(11), e2021GL093403.

   （11）Dai, Q., Liu, B., Bi, X., Wu, J., Liang, D., Zhang, Y., Feng, Y.*, Hopke, P. K.* (2020). “Dispersion normalized PMF provides insights into the significant changes in source contributions to PM2.5 after the COVID-19 outbreak.” Environmental Science & Technology, 54(16), 9917–9927.

   （12）Dai, Q., Schulze, B. C., Bi, X., Bui, A.A., Guo, F., Wallace, H. W., Sanchez, N. P., Flynn, J. H., Lefer, B. L., Feng,Y.*, Griffin, R. J. (2019). “Seasonal differences in formation processes of oxidized organic aerosol near Houston, TX.” Atmospheric Chemistry and Physics,19(14), 9641–9661.

    

1. 中国环境科学学会生态环境人工智能专业委员会委员

2. 天津市青年科技工作者协会地球科学专业委员会副秘书长

3. Journal of Hazardous Materials 青年编委

4. Intelligent Climate and Eco-Environment 编委