Reasearch interest

I am currently focusing on the geochemistry cycling of the sulfur in the marine atmosphere at the polar region from the insight of high dimensional stable isotopes and global atmospheric models like GEOS-Chem. I am also interested in conducting the formation mechanism of atmospheric particles in urban and marine areas, especially the misterious of mass-independent fractionation.

 

Education

B.Sc. in Ecology at Nanjing University of Information Science and Technology. 2017-2021.

M.Sc. in Data Science at University of Reading (United Kingdom). 2021-2023.

Ph.D. Candidate in Geology at Nanjing University. 2023 to present.

 

Awards

Advanced Individual In the School of Applied Meteorology in 2018, Honor

National College Students Meteorological Science Popularization Competition, Honorable Mention

Humanities Knowledge Competition of Science & Engineering College Students, Jiangsu Province, The Third Prize

The 6th Youth Environment Forum of United Nations China, Leader of Group

University Transition Day at University of Reading, UK, Presentation, Outstanding Student

ECMWF Machine Learning in Climate and Atmospheric Science, Graduation

 

Publication

1. Hong, Y., Zhang, Y.-L., Bao, M., Fan, M.-Y., Lin, Y.-C., Xu, R., Shu, Z., Wu, J.-Y., Cao, F., Jiang, H., Cheng, Z., Li, J., Zhang, G., 2023, Nitrogen-Containing Functional Groups Dominate the Molecular Absorption of Water-Soluble Humic-Like Substances in Air From Nanjing, China Revealed by the Machine Learning Combined FT-ICR-MS Technique, Journal of Geophysical Research: Atmosphere, DOI: 10.1029/2023JD039459.

2. Hong, Y., Cao, F., Fan, M.-Y., Lin, Y.-C., Gul, C., Yu, M., Wu, X., Zhai, X., Zhang, Y.-L., 2022, Impacts of chemical degradation of levoglucosan on quantifying biomass burning contribution to carbonaceous aerosols: A case study in Northeast China, Science of The Total Environment, DOI: 10.1016/j.scitotenv.2021.152007.

3. Hong, Y., Cao, F., Fan, M.-Y., Lin, Y.-C., Bao, M., Xue, Y., Wu, J., Yu, M., Wu, X., Zhang, Y.-L., 2022, Using machine learning to quantify sources of light-absorbing water-soluble humic- like substances (HULISWS) in Northeast China, Atmospheric Environment, DOI: 10.1016/j.atmosenv.2022.119371.

4. Fan, M.-Y., Hong, Y., Zhang, Y.-L., Sha, T., Lin, Y.-C., Cao, F., Guo, H., 2023, Increasing nonfossil fuel contributions to atmospheric nitrate in urban China from observation to prediction, Environmental Science & Technology, DOI: 10.1021/acs.est.3c 01651.

5. Fan, M.-Y., Zhang, Y.-L., Hong, Y., Lin, Y.-C., Zhao, Z.-Y., Cao, F., Sun, Y., Guo, H., Fu, P., 2022, Vertical differences of nitrate sources in urban boundary layer based on tower measurements, Environmental Science & Technology Letters, DOI: 10.1021/acs.estlett.2c00600.

6. Fan, M.-Y., Zhang, Y.-L., Lin, Y.-C., Hong, Y., Zhao, Z.-Y., Xie, F., Du, W., Cao, F., Sun, Y., Fu, P., 2021, Important role of NO3 radical to nitrate formation aloft in urban Beijing: Insights from triple oxygen isotopes measured at the tower, Environmental Science & Technology, DOI: 10.1021/acs.est.1c02843.

7. Dao, X., Lin, Y.-C., Cao, F., Di, S.-Y., Hong, Y., Xing, G., Li, J., Fu, P., Zhang, Y.-L., 2019, Introduction to the national aerosol chemical composition monitoring network of China: Objectives, current Status, and outlook, Buttein of the American Meteorological Society, DOI:10.1175/BAMS-D-18-0325.1.