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大气污染与控制教研所

张少君

邮箱:zhsjun@tsinghua.edu.cn

电话:+86-10-62797770

地点:bat365官方网页版424

教育背景

2005.08 — 2009.07 bat365官方网页版,环境工程专业,学士

2009.08 — 2014.07 bat365官方网页版,环境工程专业,博士


工作履历

2022.06 — 至今 bat365官方网页版副教授,博士生导师

2019.07 — 2022.06 bat365官方网页版助理教授,博士生导师

2017.02 — 2019.01 美国康奈尔大学阿特金森博士后研究员(David R. Atkinson Fellowship)

2015.03 — 2017.01 美国福特汽车公司研究创新中心,博士后研究员

2015.03 — 2017.01 美国密歇根大学机械工程系,博士后研究员

2014.08 — 2015.03 bat365官方网页版,博士后研究员


学术兼职

Transportation Research Part D期刊编委

Science of the Total Environment专刊(VSI: In-use vehicle emissions)特邀编辑

担任环境、能源与交通领域近20余个期刊审稿人,包括Environ. Sci. Technol., Appl. Energy, Atmos. Environ., Transport. Res. D., Transport. Res. A

瑞士自然科学基金委和美国南加州大学交通研究中心(METRANS Center)项目评审专家


研究领域

交通空气质量与能源系统研究,主要包括:机动车实际道路排放特征测试与模拟,高分辨率交通排放清单与空气质量模拟,先进车辆技术与可持续交通系统的综合影响研究(空气-能源-气候-健康),航空排放及其空气质量影响

课题组长期招收本科、硕士及博士生;招聘具有环境工程、大气化学、交通工程或车辆工程等研究背景的博士后,支持申报国家博新计划、bat365在线平台app博士后“水木学者”计划和青年基金等,有意向者请将简历和代表性成果发送至:zhsjun@tsinghua.edu.cn


研究概况

  1. 国家重点研发计划,在用机动车高污染成因诊断与治理关键技术研发及示范, 2022/10-2026/3,课题负责人

  2. 国家自然科学基金面上项目,基于OBD远程监控的重型柴油车氮氧化物排放动态表征方法研究,2022/1-2025/12,项目负责人

  3. 一汽-大众中华环境保护基金会项目,智能交通模式下能源结构预测及减排效果仿真研究,2022/4-2023/3,项目负责人

  4. 福特汽车公司(URP),基于数据驱动的智慧感知城市空气质量管理系统研究,2020/12-2022/12,项目负责人

  5. bat365在线平台app-丰田汽车公司联合研究院跨学科专项,新能源汽车能源环境大数据系统研发与示范应用,2020/4-2022/3,子课题负责人

  6. 移动源污染排放控制技术国家工程实验室开放基金,典型重型天然气车实际道路排放特征及排放模型研究,2020/1-2021/12,项目负责人

  7. 德国国际合作机构(GIZ),京津冀区域电动汽车发展空气质量影响研究,2019/05-2019/11,项目负责人


奖励与荣誉

  1. 2020 生态环境十大科技进展

  2. 2020 Environmental Science & Technology Letters优秀审稿人

  3. 2017 康奈尔大学阿特金森可持续发展博士后资助(David R. Atkinson Fellowship)

  4. 2014 北京市优秀毕业生(研究生)

  5. 2012 国家奖学金

  6. 2012 bat365在线平台app林枫辅导员奖

  7. 2009 北京市优秀毕业生


学术成果

迄今在能源、环境和交通领域期刊发表论文80余篇,其中以来以第一作者或通讯作者发表论文近40篇,包括发表于Nature SustainabilityPNASOne Earth等国际顶级期刊。作为主要起草人参与制定《道路机动车大气污染物排放清单编制技术指南》和《汽车生命周期温室气体及大气污染物排放评价方法》团体标准。

截至2022年8月,Google论文总引超过4100次,H指数为35。

一、代表性期刊论文*通讯作者;#共同一作):

  1. Wen, Y., Zhou, Z., Zhang, S.*, Wallington, T.J., Shen, W., Tan, Q., Wu, Y., 2022. Urban–Rural Disparities in Air Quality Responses to Traffic Changes in a Megacity of China Revealed Using Machine Learning. Environmental Science & Technology Letters 9 (7), 592-598

  2. Zhang, J., Zhang, S*., Zhang, X., Wang, J., Wu, Y., Hao, J., 2022. Developing a High-Resolution Emission Inventory of China’s Aviation Sector Using Real-World Flight Trajectory Data. Environmental Science & Technology, 56(9), 5743-5752.

  3. Chen, J., Wang, F., He, X., Liang, X., Huang, J., Zhang, S.*, Wu, Y., 2022. Emission mitigation potential from coordinated charging schemes for future private electric vehicles. Applied Energy, 308, 118385

  4. Yang, J.#, Wen, Y.#, Wang, Y.*, Zhang, S.*, Pinto, J.P., Pennington, E.A., Wang, Z., Wu, Y., Sander, S.P., Jiang, J.H. Hao, J., Yung, Y.L., Seinfeld, J. H.*, 2021. From COVID-19 to future electrification: Assessing traffic impacts on air quality by a machine-learning model. Proceedings of the National Academy of Sciences, 118(26), p.e2102705118. (美国科学院院刊)

  5. Zhang, D.*, Gao, J., Tang, D., Wu, X., Shi, J., Chen, J., Peng, Y., Zhang, S.*, Wu, Y., 2021. Switching on auxiliary devices in vehicular fuel efficiency tests can help cut CO2 emissions by millions of tons. One Earth, 2021, 4(1): 135-145 (细胞杂志子刊)

  6. Wen, Y., Zhang, S.*, He, L., Yang, S., Wu, X. and Wu, Y. Characterizing start emissions of gasoline vehicles and the seasonal, diurnal and spatial variabilities in China. Atmospheric Environment, 2021, 245: 118040.

  7. Zhang, S., Wu, X., Zheng, X., Wen, Y., Wu, Y.*. Mitigation potential of black carbon emissions from on-road vehicles in China. Environmental Pollution, 2021: 116746.

  8. Wang, H.# *, He, X.#, Liang, X.#, Li, S., Zheng, H., Zhang, S,*, Nielsen, C. P., Wang S., Wu, Y.*, Evans, J. S. Health benefits of on-road transportation pollution control programs in China. Proceedings of National Academy of Sciences, 2020, 117(41): 25370-25377 (美国科学院院刊)

  9. Xiang, S., Zhang, S*., Wang, H., Wen, Y., Yu, Y.T., Li, Z., Wallington, T.J., Shen, W., Deng, Y., Tan, Q.,  Zhou, Z., Wu, Y., 2021. Mobile Measurements of Carbonaceous Aerosol in Microenvironments to Discern Contributions from Traffic and Solid Fuel Burning. Environmental Science & Technology Letters, 8(10), 867-872.

  10. Wang, Y.#, Wen, Y.#, Zhang, S.*, Zhang, K. M., Zheng, H., Xing, J., Wu, Y., Hao, J. Four-month changes in air quality during and after the COVID-19 lockdown in six megacities in China. Environmental Science & Technology Letters, 2020, 7(11): 802-808 (入选ES&T Letters年度浏览量最高论文)

  11. Zhang, S.*, Zhao, P., He, L., Yang, Y., Liu, B., He, W., Cheng, Y., Liu, Y., Liu, S., Hu, Q., Huang, C., Wu, Y. On-board monitoring (OBM) for heavy-duty vehicle emissions in China: Regulations, early-stage evaluation and policy recommendations. Science of the Total Environment, 2020, 731: 139045

  12. Wen, Y., Zhang, S.*, Zhang, J., Bao, S., Wu, X., Yang, D., Wu, Y. Mapping dynamic road emissions for a megacity by using open-access traffic congestion index data. Applied Energy, 2020, 260: 114357

  13. Liang, X.#, Zhang, S.#, Wu, Y.*, Xing, J., He, X., Zhang, K. M., Wang, S., Hao, J. Air quality and health benefits from fleet electrification in China. Nature Sustainability, 2019, 2: 962-971 (自然杂志子刊)

  14. He, X.#, Zhang, S.#, Wu, Y.*, Wallington, T. J., Lu, X., McElroy, M. B., Tamor, M. A., Zhang, K. M., Nielsen, C. P., Hao, J. Customer and climate benefits of electric vehicles informed by individual travel patterns. Environmental Science & Technology, 2019, 53(18): 11013-11022.

  15. Zhang, S., Niu, T., Wu, Y.*, Zhang, K. M., Wallington, T. J., Xie, Q., Wu, X., Xu, H., Zhang, L. Integrating intelligent transportation system into vehicle emission management: A case study based on multi-source traffic data. Environmental Pollution, 2018, 241: 1027-1037

  16. Wu, Y.# *, Zhang, S.#, Hao, J., Liu, H., Wu, X., Hu, J., Walsh, M. P., Wallington, T. J., Zhang, K. M., Stevanovic, S. On-road vehicle emissions and their control in China: A review and outlook. Science of the Total Environment, 2017, 574: 332-349

  17. Zhang, S., Wu, Y.*, Huang, R., Yan, H., Zheng, Y., Hao, J. High-resolution simulation of link-level vehicle emissions and concentrations for air pollutants in a traffic-populated city. Atmospheric Chemistry and Physics, 2016, 16: 9965-9981.

  18. Zhang, S., Wu, Y.*, Liu, H., Huang, R., Yang, L., Li, Z., Fu, L., Hao, J. Real-world fuel consumption and CO2 emissions of urban public buses in Beijing. Applied Energy, 2014, 113: 1645-1655

  19. Zhang, S., Wu, Y.*, Hu J., Huang, R., Zhou, Y., Bao, X., Fu, L., Hao, J. Can Euro V heavy-duty diesel engines and alternative fuel technologies mitigate NOX emissions? - New evidences from the on-road tests for buses in China. Applied Energy, 2014, 132: 118-126

  20. Zhang, S., Wu, Y.*, Wu, X., Li, M., Ge, Y., Liang, B., Xu, Y., Zhou, Y., Liu, H., Fu, L., Hao, J. Historic and future trends of vehicle emissions in Beijing, 1998-2020: A policy assessment for the most stringent vehicle emission control program in China. Atmospheric Environment, 2014, 89: 216-229

二、专著

  1. 《汽车尾气净化技术》,郭刚,徐立峰,张少君. 机械工业出版社,北京, 2017.