Spatio-temporal modeling of particulate air pollution in the conterminous United States using geographic and meteorological predictors

Abstract

Our models provide estimates of monthly-average outdoor concentrations of PM2.5, PM10, and PM(2.5-10) with high spatial resolution and low bias. Thus, these models are suitable for estimating chronic exposures of populations living in the conterminous U.S. from 1988 to 2007.