EPA Science Inventory

Probabilistic estimation of residential air exchange rates for population-based human exposure modeling

Citation:

Baxter, L., C. Stallings, L. Smith, AND J. Burke. Probabilistic estimation of residential air exchange rates for population-based human exposure modeling. Journal of Exposure Science and Environmental Epidemiology . Nature Publishing Group, London, Uk, 27:227-234, (2017).

Description:

Residential air exchange rates (AERs) are a key determinant in the infiltration of ambient air pollution indoors. Population-based human exposure models using probabilistic approaches to estimate personal exposure to air pollutants have relied on input distributions from AER measurements. An algorithm for probabilistically estimating AER was developed based on the Lawrence Berkley National Laboratory Infiltration model utilizing housing characteristics and meteorological data with adjustment for window opening behavior. The algorithm was evaluated by comparing modeled and measured AERs in four US cities (Los Angeles, CA; Detroit, MI; Elizabeth, NJ; and Houston, TX) inputting study-specific data. The impact on the modeled AER of using publically available housing data representative of the region for each city was also assessed. Finally, modeled AER based on region-specific inputs was compared with those estimated using literature-based distributions. While modeled AERs were similar in magnitude to the measured AER they were consistently lower for all cities except Houston. AERs estimated using region-specific inputs were lower than those using study-specific inputs due to differences in window opening probabilities. The algorithm produced more spatially and temporally variable AERs compared with literature-based distributions reflecting within- and between-city differences, helping reduce error in estimates of air pollutant exposure.

Purpose/Objective:

Published in the Journal of Exposure Science and Environmental Epidemiology

URLs/Downloads:

http://www.nature.com/jes/journal/v27/n2/full/jes201649a.html   Exit

Record Details:

Record Type: DOCUMENT (JOURNAL/PEER REVIEWED JOURNAL)
Completion Date: 02/01/2017
Record Last Revised: 02/27/2017
Record Created: 02/27/2017
Record Released: 02/27/2017
OMB Category: Other
Record ID: 335530

Organization:

U.S. ENVIRONMENTAL PROTECTION AGENCY

OFFICE OF RESEARCH AND DEVELOPMENT

NATIONAL EXPOSURE RESEARCH LABORATORY

COMPUTATIONAL EXPOSURE DIVISION