Office of Research and Development Publications

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

Citation:

Hall, EricS, A. Eyth, AND S. Phillips. Hierarchical Bayesian Model (HBM) - Derived Estimates of Air Quality for 2007: Annual Report. U.S. Environmental Protection Agency, Washington, DC, EPA/600/R/12/538 (NTIS PB2012-113296), 2012.

Impact/Purpose:

The National Exposure Research Laboratory′s (NERL) Human Exposure and Atmospheric Sciences Division (HEASD) conducts research in support of EPA′s mission to protect human health and the environment. HEASD′s research program supports Goal 1 (Clean Air) and Goal 4 (Healthy People) of EPA′s strategic plan. More specifically, our division conducts research to characterize the movement of pollutants from the source to contact with humans. Our multidisciplinary research program produces Methods, Measurements, and Models to identify relationships between and characterize processes that link source emissions, environmental concentrations, human exposures, and target-tissue dose. The impact of these tools is improved regulatory programs and policies for EPA.

Description:

This report describes EPA's 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 EPA's Community Multiscale Air Quality (CMAQ) computer model. Information on EPA's 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 collaboratorative research partnership between EPA scientists from the Office of Research and Development's (ORD) National Exposure Research Laboratory (NERL) and personnel from EPA's Office of Air and Radiation's (OAQ) Office of Air Quality Planning and Standards (OAQPS). NERL's 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.

URLs/Downloads:

HIERARCHICAL BAYESIAN MODEL_2007-72312.PDF  (PDF, NA pp,  11007.34  KB,  about PDF)

Record Details:

Record Type:DOCUMENT( PUBLISHED REPORT/ REPORT)
Product Published Date:08/16/2012
Record Last Revised:03/12/2014
OMB Category:Other
Record ID: 245192