胡建林
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教育背景:
2006.9 — 2012.2 加州大学戴维斯分校大气科学专业 博士
2002.9 — 2005.7 北京大学环境科学专业 硕士
1998.9 — 2002.7 北京大学大气科学/经济学(双学位) 学士
工作经历:
2022.12 至今 南京信息工程大学环境科学与工程学院,副院长
2019.11 至今 江苏省大气污染控制联合实验室,副主任
2015.10 至今 江苏省大气环境监测与污染控制高技术研究重点实验室,常务副主任
2015.3 至今 南京信息工程大学环境科学与工程学院,教授
2012.3 —2015.3 加州大学戴维斯分校土木与环境工程系,博士后研究员
研究团队: REACH(Research for Energy, Air quality, Climate, and Health)
团队教师:胡建林、黄琳、李婧祎、秦墨梅、谢晓栋、Dipesh Rupakheti
研究方向:区域空气质量模型的开发与应用、大气复合污染成因与来源解析、大气污染物健康暴露与影响等
团队已培养毕业7名博士、22名硕士,出站2名博后。研究生4人获国家奖学金、15人次获一等奖学金、学生1作发表SCI论文40+人次,校优秀毕业生3名,国家留学基金获得者4名,荣获2021 EST Letters Best Paper Award1次、16人次在国内外重大学术会议上获优秀口头报告奖、优秀墙报奖等
欢迎热爱学习、热爱生活、热爱体育的同学加入团队,请关注本研究团队微信公众号reach_nuist。
本团队也长期招聘博后和青年骨干教师加入,有意者请联系hu_jianlin@126.com。
荣誉获奖:
2024,第三届南京信息工程大学优秀研究生导师
2023,中国地理信息产业协会“地理信息科技进步奖”二等奖(7/12)
2022,江苏省“十佳研究生导师团队”提名奖
2022,江苏省333人才工程第二层次
2022,生态环境部环境保护科学技术奖一等奖(2/15)
2022,南京信息工程大学“三育人”优秀研究生导师团队
2021,江苏省教育系统先进个人(优秀教师)
2021,江苏省环境科学学会环境保护技术三等奖(2/7)
2021,南京信息工程大学“青年五四奖章”
2021,南京信息工程大学“优秀共产党员”
2020,南京信息工程大学是“三育人”先进个人
2019,南京大学紫金全兴环境基金青年学者奖
2019,江苏省高校微课教学比赛一等奖(2/2)
2019,江苏省“互联网+”大学生创新创业大赛二等奖(指导教师,2/3)
2018,江苏省双创人才
2018,中国环境学会青年科学家优秀奖
2018,南京信息工程大学“留学人员贡献奖”
2016,国家级青年人才
2016,生态环境部环境保护科学技术奖二等奖(6/12)
2015,江苏特聘教授
2015,江苏省六大人才高峰
主持参与科研项目:
1. 国家重点研发计划“大气与土壤、地下水污染综合治理”专项课题,“二次转化对吸光颗粒物大气辐射效应的影响” (“二次颗粒物生成与老化及其对大气辐射的影响机制”项目课题5),2022YFC3701005,2022-2026,课题负责人
2. 国家自然基金面上项目,长三角地区硝酸盐生成机制与控制对策分析(42277095),2023-2026,项目负责人
3. 国家自然基金国际(地区)合作与交流项目 ,利用混合深度学习同步模拟碳排放和空气质量(42211530082),2022-2024,项目负责人
4. 2020.1-2023.12,国家自然基金面上项目,“气溶胶来源与老化分辨的大气化学-气象耦合模式开发与应用”,项目负责人
5. 2017.1-2020.12,国家自然基金面上项目,“基于源导向空气质量模型的长三角地区精细化颗粒物暴露评估研究”,项目负责人
6. 2016.8-2019.7,国家科技部重点研发计划“大气污染成因与控制技术研究”重点专项,“气溶胶混合状态与形态对大气化学-气象反馈过程的影响研究(青年项目)”,项目负责人
7. 2015-2018,江苏省自然科学基金,“长江三角洲地区大气颗粒物暴露来源的数值模拟研究”,项目负责人
8. 2021.1-2025.12,国家自然科学基金创新群体项目,“大气环境与气候相互作用”,参与
9. 2021.1-2023.12,国家自然科学基金重大研究计划集成项目,“大气复合污染模拟和预报预测集成研究”,参与
10. 2019.7-2021.7,“江苏省PM2.5与臭氧污染协同控制”重大专项课题“PM2.5与臭氧管控方案研究与平台建设”,参与
11. 2017.10-2019.7,江苏省环保科研课题, “臭氧前体物排放特征与控制对策研究”,参与
12. 2016.8-2017.7,南京市环保局,“南京市空气质量达标规划研究”,参与
13. 2015-2018,江苏省自然科学基金,“南京市大气中VOCs的来源量化及臭氧生成作用研究”,参与
14. 2015.12-2018.12,国家自然科学基金重大研究计划,“液相氧化二次有机气溶胶生成机制及其对长三角雾霾生消与空气质量的影响”,参与
15. 2015-2017,江苏省科技厅,“重污染天气分型及预警指标体系研究”,参与
学术兼职:
中国环境科学学会臭氧污染防治专业委员会常务副秘书长
中国气象学会理事
中国环境科学学会大气环境分会常务委员
江苏省智库“气候与环境治理研究院”专家
江苏省气象学会第十五届理事会理事
南京市生态环境局大气污染特聘专家
江苏省“1+13”大气污染防治支撑团队
《中国大气臭氧污染防治蓝皮书》、《第四次气候变化国家评估报告》、《中国碳中和与清洁空气协同路径年度报告》、《臭氧污染防治知识问答》主要作者
《环境科学》、《中国环境科学》青年编委,Current Pollution Reports期刊编委,Environmental Pollution、Atmospheric Environment期刊客座编辑
代表性论文(详细论文清单请见https://scholar.google.com/citations?user=WE3Li3YAAAAJ):
1. P. Du, H. Du, W. Zhang, K. Lu, C. Zhang, J. Ban, Y. Wang, T. Liu, J. Hu*, T. Li*. Unequal Health Risks and Attributable Mortality Burden of Source-Specific PM2.5 in China. Environmental Science & Technology, 2024, doi.org/10.1021/acs.est.3c08789
2. Y. Wang, J. Hu*, Y. Wu, S.H. Kota, H. Zhang, K. Gong, X. Xie, X. Yue, H. Liao, L. Huang*.Continued Rise in Health Burden from Ambient PM2.5 in India under SSP Scenarios Until 2100 despite Decreasing Concentrations. Environmental Science & Technology, 2024, doi.org/10.1021/acs.est.4c02264.
3. Y. She, J. Li, X. Lyu, H. Guo, M. Qin, X. Xie, K. Gong, F. Ye, J. Mao, L. Huang, J. Hu*. Current status of model predictions of volatile organic compounds and impacts on surface ozone predictions during summer in China. Atmospheric Chemistry and Physics, 2024, 24(1): 219-233.
4. Y. Chang*, Q. Ling, X. Ge, X. Yuan, S. Zhou, K. Cheng, J. Mao, D. Huang, Q. Hu, J. Lu, S. Cui, Y. Gao, Y. Lu, L. Zhu, W. Tan, S. Guo, M. Hu, H. Wang, C. Huang, R. Huang, Y. Zhang, J. Hu*. Nonagricultural emissions enhance dimethylamine and modulate urban atmospheric nucleation. Science Bulletin, 2023, 68(13): 1447-1455.
5. X. Xie, J. Hu*, M. Qin, S. Guo, M. Hu, D. Ji, H. Wang, S. Lou, C. Huang, C. Liu, H. Zhang, Q. Ying, H. Liao, Y. Zhang. Evolution of atmospheric age of particles and its implications for the formation of a severe haze event in eastern China, Atmospheric Chemistry and Physics, 23, 10563–10578, https://doi.org/10.5194/acp-23-10563-2023, 2023.
6. Y. Wang, J. Hu*, L. Huang, T. Li, X. Yue, X. Xie, H. Liao, K. Chen, M. Wang*. Projecting future health burden associated with exposure to ambient PM2.5 and Ozone in China under different climate scenarios. Environment International, 2022, 169, 107542. https://doi.org/10.1016/j.envint.2022.107542
7. X. Li, M. Qin*, L. Li, K. Gong, H. Shen, J. Li, and J. Hu*. Examining the implications of photochemical indicators for O3–NOx–VOC sensitivity and control strategies: a case study in the Yangtze River Delta (YRD), China. Atmospheric Chemistry and Physics, 2022, 22, 14799–14811.
8. J. Sun, M. Qin*, X. Xie, W. Fu, Y. Qin, L. Sheng, L. Li, J. Li, I.D. Sulaymon, L. Jiang, L. Huang, X. Yu, J. Hu*. Seasonal modeling analysis of nitrate formation pathways in Yangtze River Delta region, China. Atmospheric Chemistry and Physics, 2022, 22, 12629–12646. https://doi.org/10.5194/acp-22-12629-2022.
9. J. Li, X. Xie, L. Li, X. Wang, H. Wang, S. Jing, Q. Ying, M. Qin, J. Hu*. Fate of Oxygenated Volatile Organic Compounds in the Yangtze River Delta Region: Source Contributions and Impacts on the Atmospheric Oxidation Capacity, Environmental Science & Technology, 2022, 56, 11212-11224, https://doi.org/10.1021/acs.est.2c00038.
10. X. Xie, Q. Ying, H. Zhang, J. Hu*. Spatial and temporal variations in the atmospheric age distribution of primary and secondary inorganic aerosols in China. Engineering, 2022, doi: https://doi.org/ 10.1016/j.eng.2022.03.013.
11. X. Xie, J. Hu*, M. Qin, S. Guo, M. Hu, H. Wang, S. Lou, J. Li, J. Sun, X. Li, L. Sheng, J. Zhu, G. Chen, J. Yin, W. Fu, C. Huang, Y. Zhang*. Modeling particulate nitrate in China: current findings and future directions. Environment International, 2022, 166, 107369.
12. X. Xie, Z. Shi, Q. Ying, H. Zhang, J. Hu*. Age-Resolved Source and Region Contributions to Fine Particulate Matter During an Extreme Haze Episode in China. Geophysical Research Letters, 2021, 48, e2021GL095388. https://doi.org/10.1029/2021GL095388
13. Z. Shi, L. Huang, J. Li, Q. Ying, H. Zhang, and J. Hu*. Sensitivity analysis of the surface ozone and fine particulate matter to meteorological parameters in China. Atmospheric Chemistry and Physics, 2020, 20, 13455–13466.
14. T. Liu, X. Wang, J. Hu*, Q. Wang, J. An, K. Gong, J. Sun, L. Li, M. Qin, J. Li, J. Tian, Y. Huang, H. Liao, M. Zhou, Q. Hu, R. Yan, H. Wang*, C. Huang. Driving Forces of Changes in Air Quality during the COVID-19 Lockdown Period in the Yangtze River Delta Region, China, Environmental Science & Technology Letters, 2020, 7, 779-786, https://doi.org/10.1021/acs.estlett.0c00511
15. J. Li, H. Zhang, Q. Ying*, Z. Wu, Y. Zhang, X. Wang, X. Li, Y. Sun, M. Hu, Y. Zhang, and J. Hu*. Impacts of water partitioning and polarity of organic compounds on secondary organic aerosols over Eastern China, Atmospheric Chemistry and Physics, 2020, 20, 7291–7306, 2020
16. J. Hu*, B. Ostro, H. Zhang, Q. Ying, M.J. Kleeman. Using chemical transport model predictions to improve exposure assessment of PM2.5 constituents. Environmental Science & Technology Letters, 2019, 6, 456-461.
17. J. Hu, P. Wang, Q. Ying*, H. Zhang, J. Chen, X. Ge, X. Li, J. Jiang, S. Wang, J. Zhang, Y. Zhao, Y. Zhang, Modeling Biogenic and Anthropogenic Secondary Organic Aerosol in China. Atmospheric Chemistry and Physics, 17, 77-92.
18. J. Hu, L. Huang, M. Chen, H. Liao, H. Zhang, S. Wang, Q. Zhang, Q. Ying*, Premature Mortality Attributable to Particulate Matter in China: Source Contributions and Responses to Reductions. Environmental Science & Technology, 2017, 51, 9950-9959.
19. J. Hu*, S. Jathar, H. Zhang, Q. Ying, S.H. Chen, C.D. Cappa, M.J. Kleeman*, Long-term particulate matter modeling for health effect studies in California–Part 2: Concentrations and sources of ultrafine organic aerosols. Atmospheric Chemistry and Physics, 17 (8), 5379-5391
20. J. Hu, X. Li, L. Huang, Q. Ying, Q. Zhang, B. Zhao, S. Wang, H. Zhang*, Ensemble prediction of air quality using the WRF/CMAQ model system for health effect studies in China. Atmospheric Chemistry and Physics, 2017, 17, 13103-13118
21. J. Hu, J. Chen, Q. Ying*, H. Zhang*. 2016. One-Year Simulation of Ozone and Particulate Matter in China Using WRF/CMAQ Modeling System. Atmospheric Chemistry and Physics, 2016, 16, 10333-10350.
22. J. Hu, H. Zhang, Q. Ying, S. Chen, F. Vandenberghe, and M.J. Kleeman. 2015. Long Term Particulate Matter Modeling for Health Effects Studies in California – Part I: Model Performance on Temporal and Spatial Variations, Atmospheric Chemistry and Physics, 15, 3445-3461.
23. J. Hu, H. Zhang, S. Chen, C. Wiedinmyer, F. Vandenberghe , Q. Ying, and M.J. Kleeman*. 2014. Predicting Primary PM2.5 and PM0.1 Trace Composition for Epidemiological Studies in California, Environmental Science & Technology, 48(9): 4971-4979.
24. J. Hu, H. Zhang, S. Chen, C. Wiedinmyer, F. Vandenberghe, Q. Ying, and M.J. Kleeman*. 2014. Identifying Primary PM2.5 and PM0.1 Sources for Epidemiological Studies in California. Environmental Science & Technology, 48(9),pp 4980-4990.
25. J. Hu, C.J. Howard, F. Mitloehner, P.G. Green, and M.J. Kleeman*, 2012. Mobile Source and Livestock Feed Contributions to Regional Ozone Formation in Central California, Environmental Science & Technology, 46:5, 2781-2789.
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