师资队伍

姚飞

姚飞

长聘教轨助理教授

fei.yao@sjtu.edu.cn

Address：A421

Homepage：https://geofyao.github.io

Educational Background

2018.09 – 2022.07，爱丁堡大学，大气与环境科学，哲学博士 

2015.09 – 2018.07，北京大学，地理学（城市与区域规划），理学硕士

2011.09 – 2015.07，华东师范大学，地理信息系统，理学学士

Bio

2026.03 – 至今，上海交通大学，中英国际低碳学院，长聘教轨助理教授

2023.04 – 2026.02，爱丁堡大学，地球科学学院及英国国家对地观测中心，研究科学家

2022.03 – 2023.03，爱丁堡大学，地球科学学院，博士后 

2021.10 – 2022.02，爱丁堡大学，爱丁堡创新中心，研究顾问（兼职）

Research Fields
  • 大气环境及影响与应对
  • 可再生能源与减缓气候变化
  • AI赋能可持续能源与环境研究
Research Projects

在爱丁堡大学期间：

2023.01 – 2024.07，爱丁堡大学地球科学学院全球变化基金和IT基金，主持                                

2022.10 – 2024.01，Google云计算项目，主持  

2021.01 – 2021.07，爱丁堡大学地球科学学院IT基金，主持      

2023.04 – 2026.02，英国自然环境研究理事会，骨干

2024.01 – 2025.03，英国航天局，参与

2022.05 – 2023.03，英国对地观测仪器中心，骨干  

Publications

共发表学术论文20篇，其中以第一或通讯作者身份发表10篇，含3篇发表于Nature Index收录期刊（截至2026年3月）。

(通讯作者*；共同第一作者#；课题组成员担任第一/通讯作者时以粗体标示)

  1. Yin, K.#, Yao, F.#, Luo, N., Gao, M., Lu, X.* and Yi, B.*, 2026. Substantial reduction of solar photovoltaic potential in China by an extreme dust event. Communications Earth & Environment, 7(1), p.44. doi: 10.1038/s43247-025-03123-1
  2. Wang, H., Maslanka, W., Palmer, P.I.*, Wooster, M.J., Wang, H., Yao, F., Feng, L., Wu, K., Lu, X.* and Fan, S.*, 2025. Using geostationary-satellite-derived sub-daily fire radiative power variability versus prescribed diurnal cycles to assess the impact of African fires on tropospheric ozone. Atmospheric Chemistry and Physics, 25(23), pp.17501-17526. doi: 10.5194/acp-25-17501-2025
  3. Yao, F.*, Palmer, P.I., Liu, J., Chen, H. and Wang, Y., 2025. Attribution of Solar Energy Yield Gaps due to Transboundary Particulate Matter Pollution Associated with Trade across Northeast Asia. Environmental Science & Technology, 59(29), pp.15092-15100. doi: 10.1021/acs.est.5c05935
  4. Liu, J.#, Yao, F.#, Chen, H.* and Zhao, H.*, 2025. Quantifying the Source–Receptor Relationships of PM2.5 Pollution and Associated Health Impacts among China, South Korea, and Japan: A Dual Perspective and an Interdisciplinary Approach. Environmental Health Perspectives, 133(3-4), p.047011. doi: 10.1289/EHP14550
  5. Wang, Y., Wang, H., Yao, F.*, Stouffs, R. and Wu, J.*, 2024. An integrated framework for jointly assessing spatiotemporal dynamics of surface urban heat island intensity and footprint: China, 2003–2020. Sustainable Cities and Society, 112, p.105601. doi: 10.1016/j.scs.2024.105601
  6. Marvin, M.R.*, Palmer, P.I., Yao, F., Latif, M.T. and Khan, M.F., 2024. Uncertainties from biomass burning aerosols in air quality models obscure public health impacts in Southeast Asia. Atmospheric Chemistry and Physics, 24(6), pp.3699-3715. doi: 10.5194/acp-24-3699-2024
  7. Yao, F.* and Palmer, P.I., 2022. Source Sector Mitigation of Solar Energy Generation Losses Attributable to Particulate Matter Pollution. Environmental Science & Technology, 56(12), pp.8619-8628. doi: 10.1021/acs.est.2c01175
  8. Liu, J.*, Li, J. and Yao, F., 2022. Source-receptor relationship of transboundary particulate matter pollution between China, South Korea and Japan: Approaches, current understanding and limitations. Critical Reviews in Environmental Science and Technology, 52(21), pp.3896-3920. doi: 10.1080/10643389.2021.1964308
  9. Wu, J.*, Wang, Y., Liang, J. and Yao, F., 2021. Exploring common factors influencing PM2.5 and O3 concentrations in the Pearl River Delta: Tradeoffs and synergies. Environmental Pollution, 285(117138), pp.10-1016. doi: 10.1016/j.envpol.2021.117138
  10. Mogno, C.*, Palmer, P.I., Knote, C., Yao, F. and Wallington, T.J., 2021. Seasonal distribution and drivers of surface fine particulate matter and organic aerosol over the Indo-Gangetic Plain. Atmospheric Chemistry and Physics, 21(14), pp.10881-10909. doi: 10.5194/acp-21-10881-2021
  11. Yao, F.* and Palmer, P.I., 2021. A model framework to reduce bias in ground-level PM2.5 concentrations inferred from satellite-retrieved AOD. Atmospheric Environment, 248, p.118217. doi: 10.1016/j.atmosenv.2021.118217
  12. Guo, H., Zhan, Q., Ho, H.C., Yao, F., Zhou, X., Wu, J. and Li, W.*, 2020. Coupling mobile phone data with machine learning: How misclassification errors in ambient PM2.5 exposure estimates are produced?. Science of The Total Environment, 745, p.141034. doi: 10.1016/j.scitotenv.2020.141034
  13. Guo, H., Li, W.*, Yao, F., Wu, J., Zhou, X., Yue, Y. and Yeh, A.G., 2020. Who are more exposed to PM2.5 pollution: A mobile phone data approach. Environment International, 143, p.105821. doi: 10.1016/j.envint.2020.105821
  14. Wu, J., Liang, J., Zhou, L., Yao, F. and Peng, J.*, 2019. Impacts of AOD correction and spatial scale on the correlation between high-resolution AOD from Gaofen-1 satellite and In Situ PM2.5 measurements in Shenzhen City, China. Remote Sensing, 11(19), p.2223. doi: 10.3390/rs11192223
  15. Yao, F., Wu, J.*, Li, W.* and Peng, J., 2019. A spatially structured adaptive two-stage model for retrieving ground-level PM2.5 concentrations from VIIRS AOD in China. ISPRS Journal of Photogrammetry and Remote Sensing, 151, pp.263-276. doi: 10.1016/j.isprsjprs.2019.03.011
  16. Yao, F., Wu, J.*, Li, W. and Peng, J., 2019. Estimating daily PM2.5 concentrations in Beijing using 750-M VIIRS IP AOD retrievals and a nested spatiotemporal statistical model. Remote Sensing, 11(7), p.841. doi: 10.3390/rs11070841
  17. Yao, F., Si, M., Li, W.* and Wu, J.*, 2018. A multidimensional comparison between MODIS and VIIRS AOD in estimating ground-level PM2.5 concentrations over a heavily polluted region in China. Science of the Total Environment, 618, pp.819-828. doi: 10.1016/j.scitotenv.2017.08.209
  18. Wang, Z., Yao, F., Li, W. and Wu, J.*, 2017. Saturation correction for nighttime lights data based on the relative NDVI. Remote Sensing, 9(7), p.759. doi: 10.3390/rs9070759
  19. Wu, J., Yao, F., Li, W.* and Si, M., 2016. VIIRS-based remote sensing estimation of ground-level PM2.5 concentrations in Beijing–Tianjin–Hebei: A spatiotemporal statistical model. Remote Sensing of Environment, 184, pp.316-328. doi: 10.1016/j.rse.2016.07.015
  20. Yao, F., Ye, K. and Zhou, J.*, 2015. Automatic image classification and retrieval by analyzing plant leaf features. Journal of Zhejiang A&F University, 32(3), pp.426-433. doi: 10.11833/j.issn.2095-0756.2015.03.015
Teaching

爱丁堡大学课程助教：

  • 地球大气成分（2020，2021）
  • 可视化分析（2019）
  • 迎新周计算入门培训（2019）
Other Professional Activities

Environmental Science & Technology等国际高水平期刊审稿人。

Honors and Awards

学生时代（节选）：

  • 国家奖学金（2013，2016，2017）
  • 北京大学优秀毕业生（2018）
  • 北京大学学术创新奖（2016，2017）
  • 第十届国际中国规划学会年会最佳学生论文奖（2016）
  • 上海市优秀毕业生（2015）