Enhanced Air-quality-modeling System Estimate (EASE) Platform
Xuguo Zhang, PhD
Research Associate | HKUST, Post-doc Lab Associate | Yale University
Dr. Xuguo Zhang holds a BSc and an MSc in Applied Mathematics from Xi’an Jiaotong University and University College London, respectively. In August 2020, he earned his PhD in Air Quality Modeling and Data Assimilation from the Academy of Interdisciplinary Studies at The Hong Kong University of Science and Technology (HKUST), where he was supervised by Chair Prof. Jimmy Fung.
Following his PhD, he became a Hong Kong Research Talent Hub (RTH) Postdoctoral Fellow and later a Research Associate, continuing his work with Prof. Fung's air quality modeling group in the Department of Mathematics at HKUST. He also held the position of Associate Professor of Engeneering at the National Engineering Laboratory for Big Data Analyticis at Xi'an Jiaotong University, in 2020, and served as a Postdoctoral Laboratory Associate at Yale School of Public Health in 2023, focusing on air pollution and health co-benefits while working with Prof. Kai Chen in the CHEN (Climate, Health, and Environment Nexus) lab. Since November 2023, he has been a Visiting Associate Professor at the Shenzhen National Applied Mathematics Institute, Sounthern University of Science and Technology.
Research Interests
Dr. Zhang specializes in multi-scale air quality modeling and data assimilation, as well as the application of emission projection modeling on the climate mitigation in the Guangdong–Hong Kong–Macau Greater Bay Area. Dr. Zhang has over ten years of working experiences with multi-scale models such as WRF, SMOKE, CMAQ, ADMS-Urban, and others. The current major focus is in the downscale modeling, 4D-Var assimilation, climate mitigation, dynamic emission projection, air pollution sensitivity analysis and health science.
Over the past ten years, through the development of a dynamic emission-projection model and coupled air quality modeling system, Dr. Zhang helped the HK government and China provincial government reveal a holistic multi-pollutant roadmap for meeting the WHO air quality standards and discover evidence of effective emission control strategies from health co-benefits perspective aiming to do further policymaking. By incorporating the coupled 3D-Var data assimilation and regional-to-local coupling methods, Dr. Zhang has enhanced the capability of the coupled air quality model system to accurately reproduce and predict air quality conditions.
Publications
With Xu, P., Li, G., Zheng, Y., Fung, J. C. H., Lau, A. K. H., Tao, S., Houlton, B. et. al. (2024). Fertilizer management for global ammonia emission. Nature. Accepted.
Zhang, X., Fung, J. C. H.*, Lau, A. K. H., Zhang, S., & Huang, W. (2021). Improved modeling of spatiotemporal variations of fine particulate matter using a three-dimensional variational data fusion method. J. of Geophys. Res. Atmos. 126, e2020JD033599. (IF: 5.2)
Zhang, X., Fung, J. C. H.*, Zhang, Y., Lau, A. K. H., Leung, K. K., & Huang, W. (2020). Assessing PM2.5 emissions in 2020: the impacts of integrated emission control policies in China. Environ. Pollut., 263, 114575. (IF: 10.0)
Zhang, X., Stocker, J., Johnson, K., Fung, Y. H., Yao, T., Hood, C., Carruthers, D., & Fung, J. C.*(2022). Implications of Mitigating Ozone and Fine Particulate Matter Pollution in the Guangdong‐Hong Kong‐Macau Greater Bay Area of China Using a Regional‐to‐Local Coupling Model. GeoHealth, e2021GH000506. (IF: 6.3)
Zhang, X., Fung, J. C. H.*, Lau, A. K. H., Hossain, M. S., Louie, P. K. K., & Huang, W. (2021). Air quality and synergistic health effects of ozone and nitrogen oxides in response to China’s integrated air quality control policies during 2015-2019. Chemosphere, 268, 129385. (IF: 8.9)
Contact
Information
Department of Mathematics,
The Hong Kong University of Science and Technology
Clear Water Bay, Kowloon, Hong Kong
©2023 by X. G. ZHANG