姓名:

耿冠楠

所在单位:大气污染与控制教研所
职称:助理研究员
办公电话:
电子邮件:guannangeng@tsinghua.edu.cn
办公地址:清华大学环境节能楼

 

 

 

教育背景

2011年8月-2016年7月    清华大学环境学院,环境科学与工程专业,博士
2007年8月-2011年7月    清华大学环境学院,环境工程专业,学士

工作履历

2019年10月至今                清华大学环境学院,助理研究员
2017年2月-2019年5月    美国埃默里大学罗林斯公共卫生学院环境健康系,博士后研究员
2016年8月-2017年1月    清华大学地球系统科学系,研究助理
2012年5月-2013年2月    加拿大达尔豪斯大学大气科学系,访问学者


 

学术兼职

Atmos Chem Phys、Remote Sens Environ、Environ Int、Atmos Environ等SCI期刊审稿人

研究领域

多源信息融合的大气PM2.5及化学成分精细化表征,空气污染和相关健康影响变化评估及驱动力分析

研究概况

1. Multi-Angle Imager for Aerosols (MAIA)传感器任务,美国宇航局,2016-2026,参与。
2. 利用地球观测支持区域和国家环境健康监测,美国宇航局,2016-2020,参与。
3. 落基山脉地区森林大火对PM2.5及健康和政策的当前和未来影响,美国环保局,2016-2020,参与。

奖励与荣誉

2015 博士研究生国家奖学金
2012 清华大学-浪潮集团计算地球科学人才奖
2012 硕士研究生国家奖学金
2010 清华之友-苏州工业园区奖学金
2008 清华之友-郑格如奖学金

学术成果

部分代表性论文(*通讯作者,#共同一作)
1. Geng, G., Meng, X., He, K., & Liu, Y.* (2020). Random forest models for PM2.5 speciation concentrations using MISR fractional AODs. Environmental Research Letters, 15, 034056
2. Geng, G., Xiao, Q., Zheng, Y., Tong, D., Zhang, Y., Zhang, X., Zhang, Q., He, K.*, & Liu, Y.* (2019). Impact of China’s Air Pollution Prevention and Control Action Plan on PM2.5 chemical composition over eastern China. Science China Earth Sciences, 62, 1872-1884
3. Stowell, J.D.#, Geng, G.#, Saikawa, E., Chang, H.H., Fu, J.S., Yang, C.-E., Zhu, Q., Liu, Y.*, & Strickland, M.J.* (2019). Associations of wildfire smoke PM2.5 exposure with cardiorespiratory events in Colorado 2011–2014. Environment International, 133, 105151
4. Tong, D., Geng, G.*, Jiang, K., Cheng, J., Zheng, Y., Hong, C., Yan, L., Zhang, Y., Chen, X., Bo, Y., Lei, Y., Zhang, Q., & He, K. (2019). Energy and emission pathways towards PM2.5 air quality attainment in the Beijing-Tianjin-Hebei region by 2030. Science of the Total Environment, 692, 361-370
5. Zhao, H.#, Geng, G.#, Zhang, Q.*, Davis, S.J., Li, X., Liu, Y., Peng, L., Li, M., Zheng, B., Huo, H., Zhang, L., Henze, D.K., Mi, Z., Liu, Z., Guan, D., & He, K. (2019). Inequality of household consumption and air pollution-related deaths in China. Nature Communications, 10, 4337
6. Geng, G., Murray, N.L., Chang, H.H., & Liu, Y.* (2018). The sensitivity of satellite-based PM2.5 estimates to its inputs: Implications to model development in data-poor regions. Environment International, 121, 550-560
7. Geng, G., Murray, N.L., Tong, D., Fu, J.S., Hu, X., Lee, P., Meng, X., Chang, H.H., & Liu, Y.* (2018). Satellite‐based daily PM2.5 estimates during fire seasons in Colorado. Journal of Geophysical Research: Atmospheres, 123, 8159-8171
8. Xiao, Q., Chang, H.H., Geng, G., & Liu, Y.* (2018). An Ensemble Machine-Learning Model To Predict Historical PM2.5 Concentrations in China from Satellite Data. Environmental science & technology, 52, 13260-13269
9. Geng, G., Zhang, Q.*, Martin, R.V., Lin, J., Huo, H., Zheng, B., Wang, S., & He, K. (2017). Impact of spatial proxies on the representation of bottom-up emission inventories: A satellite-based analysis. Atmospheric Chemistry and Physics, 17, 4131-4145
10. Geng, G., Zhang, Q.*, Tong, D., Li, M., Zheng, Y., Wang, S., & He, K. (2017). Chemical composition of ambient PM2.5 over China and relationship to precursor emissions during 2005–2012. Atmospheric Chemistry and Physics, 17, 9187
11. Xue, T., Zheng, Y., Geng, G., Zheng, B., Jiang, X., Zhang, Q.*, & He, K. (2017). Fusing observational, satellite remote sensing and air quality model simulated data to estimate spatiotemporal variations of PM2.5 exposure in China. Remote Sensing, 9, 221
12. Geng, G., Zhang, Q.*, Martin, R.V., van Donkelaar, A., Huo, H., Che, H., Lin, J., & He, K. (2015). Estimating long-term PM2.5 concentrations in China using satellite-based aerosol optical depth and a chemical transport model. Remote Sensing of Environment, 166, 262-270
13. Zhang, Q.*, Geng, G., Wang, S., Richter, A., & He, K. (2012). Satellite remote sensing of changes in NOx emissions over China during 1996–2010. Chinese Science Bulletin, 57, 2857-2864