(1) Atmospheric chemistry and air quality modeling
We quantified the impacts of global gasoline and diesel emissions on atmospheric chemistry and air quality (Huang, et al., GeoHealth, 2020), focusing on PM2.5 (as shown in the above figure) and ozone.
(2) Aerosol-cloud interactions and climate impacts
We have employed NCAR CESM CAM5-chem model to explicitly estimate aerosol direct, indirect as well as surface albedo effects for global solid fuel cookstove aerosol emissions (Huang et al., ACP, 2018).
(3) A geostatistical inversion approach to optimize methane emissions
We use surface tall tower observations for methane mole fractions, in conjunction with Lagrangian transport model (STILT) and geostatistical inversions to optimize urban scale methane emission fluxes (Huang et al., Environ. Sci. Technol., 2019). (photo credit: A. Karion)
(4) Interactions of air quality and public health
We employ chemistry-climate model (CESM CAM-Chem) and epidemiological models to link air pollutions and public health. For example, in our recent publication (Huang et al., GeoHealth, 2020), we quantified the air quality impacts of global gasoline and diesel emissions and the premature deaths associated with PM2.5 and ozone. We further developed a metric of regional premature death rates by normalizing the regional annual total PM2.5- and ozone-induced premature deaths by the regional annual total vehicle distance traveled for each fuel type (shown in the above figure). This metric potentially provides guidance on how to effectively mitigate regional air pollutions on achieving co-benefits of air quality and public health.