温轶凡 - 北京师范大学

个人简介

温轶凡，清华大学环境学院博士、博士后。入选2022年度“博士后创新人才支持计划”和清华大学“水木学者”计划。研究领域主要包括：交通部门减污降碳及可持续发展、大数据与机器学习在环境领域的应用、环境健康及公平性等。累计发表SCI文章28篇，近年来以一作/通讯在PNAS、Environmental Science & Technology（4篇，含ESI高被引论文1篇，封面文章2篇）、Applied Energy等国际高水平期刊发表论文16篇。授权国家发明专利2项、软件著作权4项。主持国家自然科学基金青年项目、博士后创新人才支持计划、国家重点研发子课题，参与国家重点研发项目、能源基金会项目、地方政府合作项目等。获2023年环境保护科学技术奖一等奖、北京市优秀博士学位论文提名奖、中国汽车工程学会优秀博士学位论文、清华大学优秀博士学位论文、博士生国家奖学金、北京市优秀毕业生、钱易环境奖等荣誉。教育经历： 2017.09-2022.06 清华大学环境学院，工学博士 2013.09-2017.07 清华大学环境学院，工学学士 2014.09-2017.07 清华大学经济与管理学院，经济学学士双学位工作经历： 2024.12- 至今北京师范大学环境学院，讲师 2022.07-2024.12 清华大学环境学院，博士后/助理研究员 2023.06-2023.12 加州大学洛杉矶分校公共健康学院，访问学者 2018.07-2018.09 美国华盛顿大学土木与环境工程学院，访问学者

研究领域

1. 移动源减污降碳及可持续交通 2. 高分辨率交通排放清单与空气质量模拟 3. 大数据与机器学习在环境领域的应用 4. 环境健康及公平性

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

1. Zheng, T., Wen,Y. *, Xiang, S., Yang, P., Zheng, X., You, Y., Zhang, S., Wu, Y. *,Cost-effective mapping of hyperlocal air pollution using large-scale mobilemonitoring and land-use machine learning. ACS ES&T Air. 2025. ( 期刊封面文章 ) 2. Wen, Y., Yu, Q., He, Y., Ma, J., Zhang, S., Wu, Y., andZhu, Y.* Persistent environmental injustice due to brake and tire wearemissions and heavy-duty trucks in future California zero-emission fleets. Environmental Science & Technology. 2024, 58, 19372−19384. 3. Li, H., Wen,Y. *, Wu, R., Wang, Y., Zhou, Z., Deng, Y., Tan, Q., Xiao, L., Wu, X.,Zhang, S., Wu, Y. *, Assessing traffic emissions during the Summer WorldUniversity Games 2023: Insights for multisectoral synergetic decontamination. Science of the Total Environment . 2024, 954,176488. 4. Wen, Y., Zhang, S.*, Wang, Y.*, Yang, J., He, L., Wu, Y.,Hao, J. Dynamic traffic data in machine-learning air quality mapping improvesenvironmental justice assessment. Environmental Science & Technology. 2024,58, 7, 3118–3128. ( 期刊封面文章 ) 5. Wen, Y.#, Liu, M.#, Zhang, S., Wu, X., Wu, Y. *, Hao, J.Updating On-road Vehicle Emissions for China: Spatial Patterns, TemporalTrends, and Mitigation Drivers. Environmental Science & Technology. 2023,57, (38), 14299-14309. 6. Wen, Y., Zhang, S.*, Wu, Y., and Hao, J. Vehicular ammoniaemissions: An underappreciated emission source in densely-populated areas. AtmosphericChemistry and Physics. 2023, 23, (6), 3819-3828. 7. Wang, Y.#, Wen, Y.# , Zhang, S.*, Zheng, G.,Zheng, H., Huang, C., Wang, S., Wu, Y., Hao, J. Vehicular ammonia emissionssignificantly contribute to urban PM 2.5 pollution in two Chinesemegacities. Environmental Science & Technology, 2023, 57, (7), 2698-2705. ( 期刊封面文章， ESI 高被引论文 ) 8. Zhao, Y., Wen,Y. *, Wang, F., Tu, W., Zhang, S., Wu, Y. *, and Hao, J. Feasibility,economic and carbon reduction benefits of ride-hailing vehicle electrificationby coupling travel trajectory and charging infrastructure data. Applied Energy , 2023, 342, 121102. 9. Li, Y., Wen,Y. * Chen, B., Fu, X., and Wu, Y. The dilemma and potential developmentof biodiesel in China - in view of production capacity and policy. Energyfor Sustainable Development , 2023, 75, 60-71. 10. Wen, Y., Zhou, Z., Zhang, S.*, Wallington, T. J., Shen, W., Tan, Q., Deng, Y., Wu,Y. Urban–Rural Disparities in Air Quality Responses to Traffic Changes in aMegacity of China Revealed Using Machine Learning. Environmental Science& Technology Letters , 2022, 9 (7), 592-598. 11. Wen, Y. , Wu, R., Zhou, Z., Zhang, S.*, Yang, S., Wallington, T. J., Shen, W., Tan,Q., Deng, Y., Wu, Y. A data-driven method of traffic emissions mapping withland use random forest models. AppliedEnergy , 2022, 305. 12. Yang, J.#, Wen, Y.# , Wang, Y.*, Zhang, S.*,Pinto, J., Pennington, E. A.,Wang, Z., Wu, Y., Sander, S. P., Jiang, J. H.,Hao, J., Yung, Y. L., Seinfeld, J. H*. From COVID-19 to future electrification:Assessing traffic impacts on air quality by a machine-learning model. Proceedings of the National Academy ofSciences , 2021, 118 (26). 13. Wen, Y. , Zhang, S.*, He, L., Yang, S., Wu, X. and Wu, Y. Characterizing startemissions of gasoline vehicles and the seasonal, diurnal, and spatialvariabilities in China. AtmosphericEnvironment , 2021, 245, 118040. 14. Wen, Y. , Zhang, S.*, Zhang, J., Bao, S., Wu, X., Yang, D., Wu, Y. Mapping dynamicroad emissions for a megacity by using open-access traffic congestion indexdata. Applied Energy , 2020, 260,114357. 15. Wang, Y.#, Wen, Y.# , Wang, Y., Zhang, S.*,Zhang, K. M., Zheng, H., Xing,J., Wu, Y., Hao, J. Four-month changes in airquality during and after the COVID-19 lockdown in six megacities in China. Environmental Science & TechnologyLetters , 2020, 7(11), 802-808. 16. Wen, Y. , Wang, H., Larson, T., Kelp, M., Zhang, S.*, Wu, Y.*, Marshall, J. D.*On-highway vehicle emission factors, and spatial patterns, based on mobilemonitoring and absolute principal component score. Science of the Total Environment , 2019, 676, 242-251. 17. Liu, M., Wen,Y. , Wu, X., Zhang, S.*, Wu, Y. Province-Level DecarbonizationPotentials for China’s Road Transportation Sector. Environmental Science& Technology, 2024. 18. Li, S., Wang,S., Wu, Q., Zhao, B., Jiang, Y., Zheng, H., Wen, Y. , Zhang, S.,Wu, Y., Hao, J. Integrated Benefits of Synergistically Reducing Air Pollutantsand Carbon Dioxide in China. Environmental Science &Technology, 2024, 58, (32), 14193-14202. 19. Zheng, H., Li,S., Jiang, Y., Dong, Z., Yin, D., Zhao, B., Wu, Q., Liu, K., Zhang, S., Wu, Y., Wen, Y., Xing, J., Henneman, L., Kinney, P., Wang, S.*, Hao, J.Unpacking the factors contributing to changes in PM 2.5 -associatedmortality in China from 2013 to 2019, Environment International , 2024,184,108470. 20. Qu, Q., Wang,S.*, Zhao, B., Hu, R., Liang, C., Zhang, H., Li, S., Feng, B., Hou, X., Yin,D., Du, J., Chu, Y., Zhang, Y., Wu, Q., Wen, Y., Wu, X., Hu, J.,Zhang, S., Hao, J. Response of organic aerosol in Beijing to emissionreductions during the XXIV Olympic Winter Games. Science of The TotalEnvironment , 2024, 914, 170033. 21. Wang, H.,Zhang, S., Wu, X.*, Wen, Y., Li, Z., Wu, Y.* Emissionmeasurements on a large sample of heavy-duty diesel trucks in China by usingmobile plume chasing. EnvironmentalScience & Technology , 2023, 57(40), 15153–15161. 22. Ge, X., Zhang,J., Wen, Y., Yu, Q., Liu, M., Huang, Y., Zhang, S., and Duan,L*.Carbon Sequestration Potential of Biomass Production along Highways in China. Environmental Science & Technology ,2023, 57(37), 13818–13827. 23. Zheng, Y.,Havu, M., Liu, H., Cheng, X., Wen, Y., Lee, H. S.*,Ahongshangbam,J., and Järvi, L. Simulating heat and CO 2 fluxes inBeijing using SUEWS V2020b: sensitivity to vegetation phenology and maximumconductance, Geosci. Model Dev. , 2023, 16, 4551–4579. 24. Li, S., Wang,S.*, Wu, Q., Zhang, Y., Ouyang, D., Zheng, H., Han, L., Qiu,X., Wen, Y. , Liu, M., Jiang, Y.,Yin, D., Liu, K., Zhao, B., Zhang, S., Wu, Y.,Hao, J. Emission trends of airpollutants and CO 2 in China from 2005 to 2021. Earth Syst. Sci. Data. , 2023, 15,2279–2294. 25. Yan, C. et al.The effect of COVID-19 restrictions on atmospheric new particle formation inBeijing. Atmospheric Chemistry and Physics , 2022, 22,12207-12220. 26. Zhang, S., Wu,X.*, Zheng, X., Wen, Y. , Wu,Y*. Mitigation potential of black carbon emissions from on-road vehicles inChina. Environmental Pollution , 2021,278(5), 116746. 27. Xiang, S.,Zhang, S.*, Wang, H., Wen, Y. ,Yu, Y., Li, Z., Wallington, T. J.,Shen, W., Deng, Y., Tan, Q., Zhou, Z., Wu,Y. Mobile Measurements of Carbonaceous Aerosol in Microenvironments to DiscernContributions from Traffic and Solid Fuel Burning. Environmental Science & Technology Letters , 2021, 8(10), 867-872. 28. Wu, X., Yang,D., Gu, J., Wen, Y. , Zhang,S., Wu, R., Wang, R., Xu, H.,Zhang, K. M., Wu, Y.*, and Hao, J.High-resolution mapping of regional traffic emissions using land-use machinelearning models, Atmospheric Chemistry and Physics , 2021, 22(3), 1939-1950.

学术兼职

Environmental Science &Technology 、International journal of DigitalEarth、Air quality, atmosphere & health等期刊审稿人.