鄭芳怡(Fang-Yi Cheng)

Welcome to Dr. Fang-Yi Cheng's web space

My name is Fang-Yi Cheng. I received my bachelor’s degree in Atmospheric Sciences from National Central University (NCU), Taiwan, and my Ph.D. in Earth and Atmospheric Sciences from the University of Houston, USA. My academic training has provided a strong foundation in boundary-layer meteorology, atmospheric chemistry, and numerical modeling, which underpin my research on air quality and air pollution.

Following my doctoral studies, I worked as a postdoctoral fellow at the Institute for Multi-dimensional Air Quality Studies (IMAQS) at the University of Houston. My research focused on air quality modeling and aerosol processes, including the implementation of a new inorganic gas–aerosol equilibrium module, UHAERO, into the U.S. EPA Models-3/CMAQ three-dimensional chemical transport model to improve aerosol prediction capability. In parallel, I investigated boundary-layer processes in coastal and urban environments, with particular emphasis on land–atmosphere interactions, turbulence, and mixing processes that influence the transport and dispersion of air pollutants and the formation of extreme pollution episodes.

In August 2009, I joined the Department of Atmospheric Sciences at National Central University, where I am currently a full professor. 

Our laboratory focuses on air quality research from an integrated, multidisciplinary perspective, encompassing meteorology, emissions, and atmospheric chemistry. We aim to advance the understanding of the physical and chemical processes governing air pollutant formation, transport, and dispersion, with particular emphasis on boundary-layer dynamics, urban meteorology, and extreme air pollution events.

Our research approach relies on the integration of numerical air quality modeling, ground-based observations, and satellite remote sensing data. By combining chemical transport models (e.g., WRF–CMAQ) with observational analyses, we evaluate model performance, diagnose key processes, and improve forecasting capability. Through close collaboration with government agencies and industry partners, our work supports air quality forecasting, early warning systems, and science-based pollution mitigation strategies.