Vu et al.: Application of geostationary satellite and high-resolution meteorology data in estimating hourly PM2.5 levels during the Camp Fire episode in California

Vu, B.N., Bi, J., Wang, W., Huff, A., Kondragunta, S., Liu, Y. (2022). Application of geostationary satellite and high-resolution meteorology data in estimating hourly PM2.5 levels during the Camp Fire episode in California. Remote Sensing of Environment, 271, 112890. Science Direct: Link Particulate matter from wildland fire smoke can traverse hundreds of kilometers from where they originated...

Vu et al.: The association between asthma emergency department visits and satellite-derived PM2.5 in Lima, Peru

Vu, B. N., Tapia, V., Ebelt, S., Gonzales, G. F., Liu, Y., Steenland, K. (2021). The association between asthma emergency department visits and satellite-derived PM2.5 in Lima, Peru. Environmental Research, 199, 111226.  Elsevier: Link  Lima, Peru is one of the most populated and polluted cities in South America. However, epidemiological studies pertaining to air pollution in Lima, Peru have...

Vu et al.: Developing an Advanced PM2.5 Exposure Model in Lima, Peru

We developed a machine learning model to estimate daily PM2.5 levels in Lima Peru. This is the first advanced model to incorporate satellite remote sensing data as well as variables from chemical transport and forecast models to predict daily PM2.5 levels in South America. Our results indicates that concentrations are low in the coast and rises with elevation up to the Andes Mountains due to...