邢佳 - 清华大学 - 环境学院

个人简介

教育背景 2002.9-2006.7 清华大学环境科学与工程系学士 2006.9-2011.7 清华大学环境科学与工程系博士工作履历 2018- 清华大学环境学院副教授 2019-2020 微软亚太研究院铸星计划访问教授 2016-2018 清华大学环境学院助理教授 2011-2016 美国环保署博士后研究员 2008-2009 美国北卡罗来纳州立大学访问学者 2006-2007 国际应用系统分析研究所(IIASA) 访问学者学术兼职学术会员：美国地学学会、美国气象学会、大气固废管理协会

研究领域

区域大气化学-气候数值模型与机器学习模型

近期论文

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Xing, J., Zheng, S., Li, S., Huang, L., Wang, X., Kelly, J. T., ... & Hao, J. Mimicking atmospheric photochemical modeling with a deep neural network. Atmospheric Research, 105919, 2021. Xing, J., Zheng, S., Ding, D., Kelly, J. T., Wang, S., Li, S., ... & Hao, J. Deep learning for prediction of the air quality response to emission changes. Environmental science & technology, 54(14), 8589-8600, 2020. Xing, J., Lu, X., Wang, S., Wang, T., Ding, D., Yu, S.,… & Hao, J. The quest for improved air quality may push China to continue its CO2 reduction beyond the Paris Commitment, Proceedings of the National Academy of Sciences, 2020. Xing, J., Li, S., Jiang, Y., Wang, S., Ding, D., Dong, Z., ... & Hao, J. Quantifying the emission changes and associated air quality impacts during the COVID-19 pandemic on the North China Plain: a response modeling study. Atmospheric Chemistry and Physics, 20(22), 14347-14359, 2020. Xing, J., Li, S., Ding, D., Kelly, J. T., Wang, S., Jang, C., ... & Hao, J. Data assimilation of ambient concentrations of multiple air pollutants using an emission-concentration response modeling framework. Atmosphere, 11(12), 1289, 2020. Liu, S., Xing, J., Wang, S., Ding, D., Cui, Y., & Hao, J. Health Benefits of Emission Reduction under 1.5° C Pathways Far Outweigh Climate-Related Variations in China. Environmental Science & Technology, 55(16), 10957-10966. 2021. Liu, S., Xing, J., Sahu, S. K., Liu, X., Liu, S., Jiang, Y., ... & Wang, S. Wind-blown dust and its impacts on particulate matter pollution in northern China: current and future scenario. Environmental Research Letters, 2021. Zhang, S., Sarwar, G., Xing, J., Chu, B., Xue, C., Sarav, A., ... & He, H. Improving the representation of HONO chemistry in CMAQ and examining its impact on haze over China. Atmospheric Chemistry and Physics, 21(20), 15809-15826, 2021. Chen, L., Xing, J., Mathur, R., Liu, S., Wang, S., & Hao, J. Quantification of the enhancement of PM2.5 concentration by the downward transport of ozone from the stratosphere. Chemosphere, 126907, 2020. Tao, H., Xing, J., Zhou, H., Pleim, J., Ran, L., Chang, X., ... & Li, J. Impacts of improved modeling resolution on the simulation of meteorology, air quality, and human exposure to PM2.5, O3 in Beijing, China. Journal of Cleaner Production, 243, 118574, 2020. Sahu, S. K., Chen, L., Liu, S., Ding, D., & Xing, J. The impact of aerosol direct radiative effects on PM2. 5-related health risk in Northern Hemisphere during 2013–2017. Chemosphere, 254, 126832, 2020. Ding, D., Xing, J., Wang, S., Liu, K., & Hao, J. Estimated contributions of emissions controls, meteorological factors, population growth, and changes in baseline mortality to reductions in ambient PM2.5 and PM2.5-related mortality in China, 2013–2017. Environmental health perspectives, 127(6), 067009, 2019.