Air pollution exposure modeling

The air pollution exposure assessment work in our group primarily involves the development of spatio-temporal statistical models at the local to national scales. The primary target pollutant is PM2.5 due to its significant associate with various adverse health outcomes. We have conducted numerous studies to assess both short-term changes and long-term trends of PM2.5 in the US and China. 

Example: 1 km resolution ground PM2.5 concentration surfaces in the Southeast estimated using MAIAC AOD (Hu et al. 2014, ACP).

Example: model-predicted historical PM2.5 trend in China based on a 10 km resolution hierarchical model using MODIS AOD (Ma et al. 2016, EHP).