Hierarchical Bayesian Model (HBM): Derived Estimates of Air Quality for 2007: Annual Report.

摘要

This report describes EPAs Hierarchical Bayesian model generated (HBM) estimates of ozone (O3) and fine particulate matter (PM2.5, particles with aerodynamic diameter < 2.5 microns) concentrations throughout the continental United States during the 2007 calendar year. HBM estimates provide the spatial and temporal variance of O3 and PM2.5, allowing estimation of their concentration values across the U.S., independent of where air quality monitors are physically located. HBM estimates are generated through the statistical fusion of measured air quality monitor concentration values and air quality model predicted concentration values from EPAs Community Multiscale Air Quality (CMAQ) computer model. Information on EPAs air quality monitors, CMAQ model, and HBM model is included to provide the background and context for understanding the data output presented in this report. The data contained in this report are an outgrowth of a collaborative research partnership between EPA scientists from the Office of Research and Developments (ORD) National Exposure Research Laboratory (NERL) and personnel from EPAs Office of Air and Radiations (OAR) Office of Air Quality Planning and Standards (OAQPS). NERLs Human Exposure and Atmospheric Sciences Division (HEASD), Atmospheric Modeling and Analysis Division (AMAD), and Environmental Sciences Division (ESD), in conjunction with OAQPS, work together to provide air quality monitoring data and model estimates to the Centers for Disease Control and Prevention (CDC) for use in their Environmental Public Health Tracking (EPHT) Network.