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

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. 宁德时代公司，动力电池供应链碳足迹生命周期数据和方法研究，2022/1-2023/6，项目负责人

4. 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

5. 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

6. 清华大学-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

7. 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

8. 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

1. 2023年 交通运输行业青年拔尖创新人才计划

2. 2023年 环境保护科学技术一等奖（3/15）

3. 2023年 高等学校科学技术进步奖一等奖（14/15）

4. 2020年 生态环境十大科技进展

5. 2020年 Environmental Science & Technology Letters优秀审稿人

6. 2017年 康奈尔大学阿特金森可持续发展博士后资助（David R. Atkinson Fellowship）

7. 2014年 北京市优秀毕业生（研究生）

8. 2012年 清华大学林枫辅导员奖

9. 2009年 北京市优秀毕业生

迄今在能源、环境和交通领域期刊发表论文120余篇，代表性论文发表于Nature Energy，Nature Sustainability，PNAS和One Earth等国际顶级期刊。入选交通运输行业青年拔尖人才，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2025年8月，Google论文总引超过8500次，H指数为51。

一、部分期刊论文（^*通讯作者；^#共同一作）：

Zhang, J., Zhang, J., Yan, J., Nielsen, C. P., Wu, Y., Hao, J., Zhang, S.*, McElroy, M. B*. Rising CO₂ and Decarbonization Strategies of Aviation in China in the Coming Decade. Environmental Science & Technology, 2025, online press

Xu, J., Chen, J., Wei, H., Zhao, Y., Tian, B., Wen, Y., Jiang, H., Zhang, N.*, Zhang, S.*, Wu, Y. (2025). Emissions reduction potential and feasibility of vehicle-to-grid for Beijing’s future electric vehicles. Cell Reports Physical Science, 6(6), 102616

He, X., Zheng, X.*, Jiang, B., Cao, X., Chen, T., Guo, S., Li, Z., Din, Y., Zhang, S.*, Cheng, Y., Jiang, J., Wang, S., Wu, Y. Significant N-containing brown carbon emission from heavy-duty diesel vehicles revealed by the molecular and chromophore analysis using ultra-high resolution mass spectrometry. npj Climate and Atmospheric Science, 2025, 8(1), 200

Wang, F., Zhang, S.*, Liu, M., Xiong, Y., De Castro, D., He, X., Almoinee, M., Perez, O., Liu, Z., Pan, X., Lin, G., Wu, Y. Carbon Footprint and Decarbonization Potential of Battery-Grade Synthetic Graphite. ACS Sustainable Chemistry & Engineering, 2025, 13(22), 8298-8306

Liu, M., Wang, F., Zhang, S.*, Xiong, Y., Liu, Z., Pan, X., Lin, G., De Castro, D., He, X., Almoniee, MA., Wu, Y. Carbon Footprint of Battery-Grade Lithium Chemicals in China. ACS Sustainable Chemistry & Engineering, 2025, 13(10), 3930-3938

Yu, Y.T., Zhang, S.*, Xiang, S, Wu, Y. Socioeconomic Inequalities in PM2.5 Exposure and Local Source Contributions at Community Scales Using Hyper-Localized Taxi-Based Mobile Monitoring in Xi'an, China. Environmental Science & Technology, 2025, 59(14), 7222-7234

Zhang, S., Li, S., Tian, B., Fu, X., Chen, B., Wu, X.*, Wu, Y. Individual electric vehicle range evaluation and optimization by real-world usage data. Energy, 2025, 320, 135414

Zhao, P.^#, Zhang, S.^#*, Santi, P., Cui, D., Wang, F., Liu, P., Zhang, Z., Liu, J., Wang, Z^*., Ratti, C. Wu, Y.^*, 2024. Challenges and opportunities in truck electrification revealed by big operational data. Nature Energy, 2024, 9(11), 1427-1437

Zhao, P., Wu, X., Zhang, S.*, He, L., Yang, Y., Hu, Q., Huang, C., Yu, B., Wu, Y. Regulatory Insights for On-Board Monitoring of Vehicular NOx Emission Compliance. Environmental Science & Technology, 2024, 58(18), 7968-7976.

Wen, Y., Zhang, S.*, Wang, Y.^*, Yang, J., He, L., Wu, Y. and Hao, J. Dynamic Traffic Data in Machine-Learning Air Quality Mapping Improves Environmental Justice Assessment. Environmental Science & Technology, 2024, 58(7), 3118-3128.

Xiang, S, Zhang, S.*, Brimblecombe, P.*, Yu, Y.T., Noll, K.E.*, Liu, H., Wu, Y., Hao, K.* An Integrated Field Study of Turbulence and Dispersion Variations in Road Microenvironments. Environmental Science & Technology, 2024, 58(46), 20566-20576

Liu, M., Pan, X., Sun, X., Kim, H.C., Shen, W., De Castro, D., Wu, Y., Zhang, S.*. Lithium-Ion Battery Recycling: Bridging Regulation Implementation and Technological Innovations for Better Battery Sustainability. Environmental Science & Technology, 2024, 58(49), 21385-21388

Liu, M., Wen, Y., Wu, X., Zhang, S.*, Wu, Y. Province-Level Decarbonization Potentials for China’s Road Transportation Sector. Environmental Science and Technology, 2024, 58(41), 18213-18221

Zhang, S.*, Xiong, Y., Liang, X., Wang, F., Liang, S.^*, Wu, Y. Spatial and Cross-Sectoral Transfer of Air Pollutant Emissions from the Fleet Electrification in China by 2030. Environmental Science & Technology, 2023, 57(50), 21249-21259.

Wang, Y.^#, Wen, Y.^#, Zhang, S.*, Zheng, G., Zheng, H., Chang, X., Huang, C., Wang, S., Wu, Y., Hao, J. Vehicular ammonia emissions significantly contribute to urban PM2.5 pollution in two Chinese megacities. Environmental science & technology, 2023, 57(7), 2698-2705. (ESI高被引论文)

Zhang, J.^#, Jiang, Y.^#, Wang, Y., Zhang, S.*, Wu, Y., Wang, S., Nielsen, C.P., McElroy, M.B. and Hao, J. Increased Impact of Aviation on Air Quality and Human Health in China. Environmental Science & Technology, 2023, 57(48), 19575-19583.

Wang, F., Zhang, S.*, Zhao, Y., Ma, Y., Zhang, Y., Hove, A. and Wu, Y. Multisectoral drivers of decarbonizing battery electric vehicles in China. PNAS nexus, 2(5), 2023, p.pgad123.

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

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

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

Yu, Y.T., Xiang, S., Zhang, T., You, Y., Si, S., Zhang, S.*, Wu, Y. Evaluation of city-scale disparities in PM_2.5 exposure using hyper-localized taxi-based mobile monitoring. Environmental Science & Technology, 2022, 56(19), 13584-13594.

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.* From COVID-19 to future electrification: Assessing traffic impacts on air quality by a machine-learning model. Proceedings of the National Academy of Sciences, 2021, 118(26), p.e2102705118.

Zhang, D.*, Gao, J., Tang, D., Wu, X., Shi, J., Chen, J., Peng, Y., Zhang, S.*, Wu, Y. 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

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.

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

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.

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)

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

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

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

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（ESI高被引论文）

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.

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 （ESI高被引论文）

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 NO_X emissions? - New evidences from the on-road tests for buses in China. Applied Energy, 2014, 132: 118-126

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.