Ontology highlight
ABSTRACT: Background
Photochemical modeling can predict the level and distribution of pollutant concentrations over time, but is resource-intensive. Partly for this reason, there are few studies exploring the multi-year trajectory of the historical change in fine particle (PM2.5) levels and associated health impacts in the U.S.Objectives
We used a unique dataset of Community Multi-Scale Air Quality (CMAQ) model simulations performed for a subset of years over a decade-long period fused with observations to estimate the change in ambient levels of PM2.5 across the contiguous U.S. We also quantified the change in PM2.5-attributable health risks and characterized the level of risk inequality over this period.Methods
We estimated annual mean PM
SUBMITTER: Fann N
PROVIDER: S-EPMC6716061 | biostudies-literature | 2018 Nov
REPOSITORIES: biostudies-literature