姓名：张启钧
职务职称：副教授
研究领域：移动源（机动车、非道路机械、轮船、飞机、火车）排放测试、移动源排放模型开发、智慧交通系统节能减排评估、机器学习在移动源排放领域的应用。
邮箱：zhangqijun@nankai.edu.cn
教育背景
2012.09—2016.06，南开大学，环境科学，博士
2010.09—2012.06，南开大学，环境工程，硕士
2006.09—2010.06，中南大学，环境工程，学士
科研教学经历
2024.07—至今 南开大学环境科学与工程学院，副教授
2020.01—2024.06 南开大学环境科学与工程学院，助理研究员
2016.09—2019.12 天津城建大学市政与环境工程学院，讲师
科研项目
2024-2027，国家重点研发计划（政府间国际科技创新合作），基于车路协同的城市低碳交通关键技术研究与应用。课题3负责人
2023-2026，国家重点研发计划，移动源超低排放实时监测监管与质控技术。子课题负责人
2022-2024，国家自然科学基金（青年项目），基于数据驱动和机器学习的机动车瞬态排放模型（尾气、非尾气）研究。主持
2022-2025，国家自然科学基金（面上项目），在用汽油车蒸发排放控制装置劣化规律及其排放评估。第一参与人
2022-2025，国家重点研发计划，城市和区域交通污染综合治理方案和示范实践。子课题骨干
学术论著
发表SCI论文70余篇，其中以第一/通讯作者在Environmental Science & Technology Letters、Journal of Hazardous Materials、Science of the Total Environment、Energy Conversion and Management、Journal of Cleaner Production等期刊发表学术论文50余篇，授权国家发明专利2项。
代表性论文（* corresponding author）
[1] Zhang Qijun, Yin Jiawei, Cao Zeping, Fang Tiange, Peng Jianfei, Wu Lin, Mao Hongjun. Size distribution, chemical composition and influencing factors of vehicle tire wear particles based on a novel test cycle [J]. Environmental Research, 2025, 268.
[2] Zhang Qijun*, Fang Tiange, Yin Jiawei, Men Zhengyu, Peng Jianfei, Wu Lin, Mao Hongjun*. Vehicle Non-Exhaust Emissions Significantly Contribute to Urban PM Pollution in New Energy Vehicles Era [J]. Journal of Geophysical Research-Atmospheres, 2025, 130(9).
[3] Yin Jiawei, Xu Zhou, Wei Wendi, Jia Zhenyu, Fang Tiange, Jiang Zhiwen, Cao Zeping, Wu Lin, Wei Ning, Men Zhengyu, Guo Quanyou, Zhang Qijun*, Mao Hongjun. Laboratory measurement and machine learning-based analysis of driving factors for brake wear particle emissions from light-duty electric vehicles and heavy-duty vehicles [J]. Journal of Hazardous Materials, 2025, 488.
[4] Sun Bin, Zhang Qijun*, Cao Zeping, Dong Zhi, Mao Hongjun. Optimizing road attributes for urban traffic decarbonization: algorithm to trend analysis [J]. Sustainable Energy Technologies and Assessments, 2025, 84.
[5] Sun Bin, Bai Qiang, Zhang Qijun*, Mao Hongjun. Sustainable impact of urban road class on smart transportation systems: A field data-informed exploration [J]. Sustainable Cities and Society, 2025, 132.
[6] Jia Zhenyu, Yin Jiawei, Fang Tiange, Jiang Zhiwen, Zhong Chongzhi, Cao Zeping, Wu Lin, Wei Ning, Men Zhengyu, Yang Lei, Zhang Qijun*, Mao Hongjun. Machine learning helps reveal key factors affecting tire wear particulate matter emissions [J]. Environment International, 2025, 195.
[7] Jia Zhenyu, Yin Jiawei, Cao Zeping, Wu Lin, Wei Ning, Zhang Yanjie, Jiang Zhiwen, Guo Dongping, Zhang Qijun*, Mao Hongjun. Regional vehicle energy consumption evaluation framework to quantify the benefits of vehicle electrification in plateau city: A case study of Xining, China [J]. Applied Energy, 2025, 377.
[8] Jia Zhenyu, Yin Jiawei, Cao Zeping, Wei Ning, Jiang Zhiwen, Zhang Yanjie, Wu Lin, Zhang Qijun*, Mao Hongjun. Sustainable transportation emission reduction through intelligent transportation systems: Mitigation drivers, and temporal trends [J]. Environmental Impact Assessment Review, 2025, 112.
[9] Cao Zeping, Wang Yanan, Zhao Xiaoyang, Yin Jiawei, Jia Zhenyu, Zhan Yanjie, Liu Yan, Zhang Qijun*, Mao Hongjun. Reconstructing missing NOx emissions in heavy-duty diesel vehicle OBD data: A machine learning approach [J]. Journal of Hazardous Materials, 2025, 494.
[10] Cao Zeping, Shi Kai, Qin Hao, Xu Zhou, Zhao Xiaoyang, Yin Jiawei, Jia Zhenyu, Zhang Yanjie, Liu Hailiang, Zhang Qijun*, Mao Hongjun. A comprehensive OBD data analysis framework: Identification and factor analysis of high-emission heavy-duty vehicles [J]. Environmental Pollution, 2025, 368.
[11] Sun Bin, Zhang Qijun*, Wu Zhong, Mao Hongjun. Impact of early-stage cooperative vehicle infrastructure systems on traffic and energy consumption under various traffic conditions: From application to policy [J]. Energy, 2024, 309.
[12] Sun Bin, Zhang Qijun*, Mao Hongjun, Li Kun. Road energy capacity model for sustainable Transportation: Assessing energy consumption under road attributes and traffic condition [J]. Sustainable Energy Technologies and Assessments, 2024, 70.
[13] Sun Bin, Zhang Qijun*, Mao Hongjun, Chen Liang. Optimizing energy efficiency in intelligent vehicle-oriented road network design: A novel traffic assignment method for sustainable transportation [J]. Sustainable Energy Technologies and Assessments, 2024, 69.
[14] Sun Bin, Wang Haibo, Zhang Qijun*, Shi Hanchao, Mao, Hongjun. An energy-based framework for predicting vehicle noise source intensity: From energy consumption to noise [J]. Journal of Environmental Management, 2024, 369.
[15] Sun Bin, Hu Le, Zhang Qijun*, Zou Chao, Wei Ning, Jia Zhenyu, Wu Zhong, Mao Hongjun. Impacts of traffic-signal-based speed guidance system across different application stages on traffic [J]. Transportation Research Part D-Transport and Environment, 2024, 136.
[16] Jia Zhenyu, Yin Jiawei, Cao Zeping, Wei Ning, Jiang Zhiwen, Zhang Yanjie, Wu Lin, Zhang Qijun*, Mao Hongjun. Large-scale deployment of intelligent transportation to help achieve low-carbon and clean sustainable transportation [J]. Science of the Total Environment, 2024, 949.
[17] Zhang Qijun*, Yin Jiawei, Fang Tiange, Guo Quanyou, Sun Jiaxing, Peng Jianfei, Zhong Chongzhi, Wu Lin, Mao Hongjun. Regenerative braking system effectively reduces the formation of brake wear particles [J]. Journal of Hazardous Materials, 2024, 465.
[18] Zhang Qijun*, Fang Tiange, Men Zhengyu, Wei Ning, Peng Jianfei, Du Tianqiang, Zhang Xinfeng, Ma Yao, Wu Lin, Mao Hongjun. Direct measurement of brake and tire wear particles based on real-world driving conditions [J]. Science of the Total Environment, 2024, 906.
[19] Sun Bin, Zhang Qijun*, Mao Hongjun, Li Zhijun. Validation of a statistical-dynamic framework for predicting energy consumption: A study on vehicle energy conservation equation [J]. Energy Conversion and Management, 2024, 307.
[20] Sun Bin, Wang Haibo, Hu Le, Zhang Qijun*, Shi Hanchao, Mao Hongjun. Exploring vehicle-centric strategies for sustainable urban mobility: A theoretical framework for saving energy and reducing noise in transportation [J]. Journal of Environmental Management, 2024, 358.
[21] Sun Bin, Hu Le, Zhang Qijun*, Zou Chao, Wei Ning, Jia Zhenyu, Wu Zhong, Mao Hongjun. Temporal variations in urban road network traffic performance during the early application of a cooperative vehicle infrastructure system: Evidence from the real world [J]. Energy Conversion and Management, 2024, 300.
[22] Zhao Xiaoyang, Jia Zhenyu, Wei Ning, Guo Dongping, Yao Lu, Yin Jiawei, Wu Lin, Zhang Yanjie, Peng Jianfei, Wang Ting, Yang Zhiwen, Zhang Qijun*, Mao Hongjun. Green light optimized speed advisory achieves fuel savings and CO2 emission reduction by profoundly impacting driving behavior [J]. Journal of Cleaner Production, 2023, 422.
[23] Zhang Qijun, Yang Lei, Peng Jianfei, Wu Lin, Mao Hongjun. Characteristics, sources, and health risks of inorganic elements in PM2.5 and PM10 at Tianjin Binhai international airport* [J]. Environmental Pollution, 2023, 332.
[24] Zhang Qijun, Liu Jiayuan, Wei Ning, Song Congbo, Peng Jianfei, Wu Lin, Mao Hongjun. Identify the contribution of vehicle non-exhaust emissions: a single particle aerosol mass spectrometer test case at typical road environment [J]. Frontiers of Environmental Science & Engineering, 2023, 17(5).
[25] Yang Lei, Zhang Qijun*, Zhao Jingbo, Zou Chao, Wei Ning, Jia Zhenyu, Zhang Yanjie, Fu Fei, Lv Jianhua, Wu Lin, Wang Ting, Peng Jianfei, Mao Hongjun. Real world emission characteristics of Chinese fleet and the current situation of underestimated ship emissions [J]. Journal of Cleaner Production, 2023, 418.
[26] Wei Ning, Jia Zhenyu, Zhao Xiaoyang, Wu Lin, Zhang Yanjie, Peng Jianfei, Wang Ting, Yang Zhiwen, Zhang Qijun*, Mao Hongjun. Standard environmental evaluation framework reveals environmental benefits of green light optimized speed advisory: A case study on plug-in hybrid electric vehicles [J]. Journal of Cleaner Production, 2023, 404.
[27] Sun Bin, Zhang Qijun*, Zou Chao, Wei Ning, Jia Zhenyu, Wu Zhong, Mao Hongjun, Zhang Yi. The optimal speed model based on minimum temporal and spatial energy consumption [J]. Environmental Science and Pollution Research, 2023, 30(27): 70688-700.
[28] Sun Bin, Zhang Qijun*, Zou Chao, Wei Ning, Jia Zhenyu, Wu Zhong, Mao Hongjun. Research on microscopic traffic flow modeling and energy characteristics in the energy-saving driving environment [J]. Nonlinear Dynamics, 2023, 111(15): 14365-78.
[29] Sun Bin, Zhang Qijun*, Hu Le, Zou Chao, Wei Ning, Jia Zhenyu, Zhao Xiaoyang, Peng Jianfei, Mao Hongjun, Wu Zhong. A prediction-evaluation method for road network energy consumption: Fusion of vehicle energy flow principle and Two-Fluid theory [J]. Physica a-Statistical Mechanics and Its Applications, 2023, 626.
[30] Jia Zhenyu, Wei Ning, Yin Jiawei, Zhao Xiaoyang, Wu Lin, Zhang Yanjie, Peng Jianfei, Wang Ting, Yang Zhiwen, Zhang Qijun*, Mao Hongjun. Energy saving and emission reduction effects from the application of green light optimized speed advisory on plug-in hybrid vehicle [J]. Journal of Cleaner Production, 2023, 412.
[31] Zhang Qijun, Yang Lei, Zhang Yanjie, Fang Xiaozhen, Wu Lin, Mao Hongjun. PM2.5-PAHs and PM<sub>10</sub>-PAHs at roadside environment: levels, meteorological impact, source apportionment, and health risks [J]. Air Quality Atmosphere and Health, 2022, 15(7): 1287-301.
[32] Zhang Qijun, Wei Ning, Yang Lei, Feng Xi, Zhang Yanjie, Wu Lin, Mao Hongjun. Emission inventory and control policy for non-road construction machinery in Tianjin [J]. Environmental Science and Pollution Research, 2022, 29(5): 6688-97.
[33] Zhang Qijun, Wei Ning, Mao Hongjun. Impact of ethanol-gasoline implementation on vehicle emission based on remote sensing test [J]. Environmental Research Communications, 2022, 4(5).
[34] Yang Lei, Zhang Qijun*, Zhang Yanjie, Lv Zongyan, Wu Lin, Mao Hongjun. Real-world emission characteristics of an ocean-going vessel through long sailing measurement [J]. Science of the Total Environment, 2022, 810.
[35] Yang Lei, Zhang Qijun*, Lv Zongyan, Zhang Yanjie, Yang Zhiwen, Fu Fei, Lv Jianhua, Wu Lin, Mao Hongjun. Efficiency of DECA on ship emission and urban air quality: A case study of China port [J]. Journal of Cleaner Production, 2022, 362.
[36] Wei Ning, Zhang Qijun*, Zhang Yanjie, Jin Jiaxin, Chang Junyu, Yang Zhiwen, Ma Chao, Jia Zhenyu, Ren Chunzhe, Wu Lin, Peng Jianfei, Mao Hongjun. Super-learner model realizes the transient prediction of CO<sub>2</sub> and NOx of diesel trucks: Model development, evaluation and interpretation [J]. Environment International, 2022, 158.
[37] Wei Ning, Men Zhengyu, Ren Chunzhe, Jia Zhenyu, Zhang Yanjie, Jin Jiaxin, Chang Junyu, Lv Zongyan, Guo Dongping, Yang Zhiwen, Guo Jiliang, Wu Lin, Peng Jianfei, Wang Ting, Du Zhuofei, Zhang Qijun*, Mao Hongjun. Applying machine learning to construct braking emission model for real-world road driving [J]. Environment International, 2022, 166.
[38] Wei Ning, Jia Zhenyu, Men Zhengyu, Ren Chunzhe, Zhang Yanjie, Peng Jianfei, Wu Lin, Wang Ting, Zhang Qijun*, Mao Hongjun. Machine Learning Predicts Emissions of Brake Wear PM2.5: Model Construction and Interpretation [J]. Environmental Science & Technology Letters, 2022, 9(5): 352-8.
[39] Sun Bin, Zhang Qijun*, Zou Chao, Tong Hui, Wei Ning, Jia Zhenyu, Mao Hongjun. Review and prospect of research on road traffic flow energy model [J]. Environmental Science and Pollution Research, 2022, 29(54): 81198-209.
[40] Sun Bin, Zhang Qijun*, Wei Ning, Jia Zhenyu, Li Chunming, Mao Hongjun. The energy flow of moving vehicles for different traffic states in the intersection [J]. Physica a-Statistical Mechanics and Its Applications, 2022, 605.
[41] Ho Chung Song, Peng Jianfei, Yun Unhyok, Zhang Qijun*, Mao Hongjun. Impacts of methanol fuel on vehicular emissions: A review [J]. Frontiers of Environmental Science & Engineering, 2022, 16(9).
[42] Zhang Qijun, Wei Ning, Zou Chao, Mao Hongjun. Evaluating the ammonia emission from in-use vehicles using on-road remote sensing test [J]. Environmental Pollution, 2021, 271.
[43] Zhang Qijun, Sun Luna, Wei Ning, Wu Lin, Mao Hongjun. The characteristics and source analysis of VOCs emissions at roadside: Assess the impact of ethanol-gasoline implementation [J]. Atmospheric Environment, 2021, 263.
[44] Yang Lei, Zhang Qijun*, Zhang Yanjie, Lv Zongyan, Wang Yanan, Wu Lin, Feng Xi, Mao Hongjun. An AIS-based emission inventory and the impact on air quality in Tianjin port based on localized emission factors [J]. Science of the Total Environment, 2021, 783.
[45] Zhang Qijun, Yang Lei, Ma Chao, Zhang Yanjie, Wu Lin, Mao Hongjun. Emission characteristics and chemical composition of particulate matter emitted by typical non-road construction machinery [J]. Atmospheric Pollution Research, 2020, 11(4): 679-85.
