United States Environmental Protection Agency	Office of Research and Development

National Exposure Research Laboratory
Research Abstract

Government Performance Results Act (GPRA) Goal 1
Annual Performance Measure 21

Significant Research Findings:

Stochastic Human Exposure and Dose Simulation Model for Air

Toxics

Scientific	EPA provided a "road map" for its air toxics program with the July 19, 1999

Problem and	Federal Register publication of the National Air Toxics Program: Integrated Urban

Policy Issues	Strategy. This program is designed to characterize, prioritize, and equitably

address exposures to air toxics and their impact on public health and the
environment. The program addresses air toxic emissions from large and small
stationary sources, mobile sources, and indoor air sources as part of its strategy for
reducing risks from exposure to air toxics. In addition, the program prioritizes its
actions and measures progress through the use of assessments conducted at
multiple geographic scales (e.g., national, regional, local).

Conducting National Air Toxics Assessments (NATA) is one of four components
in EPA's risk-based National Air Toxics Program, and includes all of the exposure
and risk assessment activities. NATA activities are intended to provide EPA and
others with improved characterization of air toxics exposures and risks for both
stationary and mobile sources, as well as relative risks from indoor air exposures.
To improve the scientific basis of exposure and risk assessments conducted under
the National Air Toxics Programs, models that better characterize the relationship
between concentrations measured at central site monitors and residential,
vehicular, and other microenvironmental exposures need to be developed. These
models can then be used to estimate the range of potential chemical exposure
across the general population as well as susceptible and highly-exposed
subpopulations.

EPA's National Exposure Research Laboratory (NERL) has begun developing a
human exposure model to characterize population exposures to air toxics in
support of risk assessment activities in the National Air Toxics Program. The
model, called the Stochastic Human Exposure and Dose Simulation Model for Air
Toxics (SHEDS-Air Toxics), uses a probabilistic approach to predict the
distribution of inhalation exposure and dose for a specified population. The model
is designed to estimate this distribution by simulating the time series of exposure
and dose for individuals that demographically represent the population of interest.
U.S. census data are used to build the simulation population, and human-activity-
pattern data are assigned to each simulated individual to account for the way
people interact with their environment. Pollutant concentrations in the

Research
Approach

National Exposure Research Laboratory — October 2003


-------
microenvironments where people spend their time (e.g., home, car, office, school,
restaurant) are calculated based on relationships between central site outdoor and
indoor or in-vehicle concentrations obtained from measurement study data. Each
individual's exposure and dose profile is estimated from the time spent in each
location, the concentration in that location, and the activity-specific inhalation rate
while in that location. Daily-averaged exposure and dose for each individual are
calculated and combined to provide a distribution of exposure and dose for the
population. Statistical methods for incorporating both variability and uncertainty
in the model input parameters are utilized to obtain the predicted population
distribution and the uncertainty associated with the predicted distribution.

The model framework has been initially developed around a benzene exposure
case study. Critical exposure-microenvironments were identified based on
chemical source information and analysis of human activity patterns. All relevant
concentrations were compiled and evaluated from multiple sources found in the
scientific literature.

In addition to the chemical-specific data, human-activity-pattern data are required
as inputs to NERL's and other complex human exposure models. The lack of
longitudinal (long-term) exposure data is a significant limitation to estimating
realistic lifetime exposures. To improve estimation of long-term exposure, data
available in EPA's Consolidated Human Activity Database (CHAD) were
analyzed to determine relative importance of characteristics used to define cohorts.
Attributes including age, gender, ethnicity, and outdoor temperature were analyzed
to characterize the relationship between cohort attributes and the time spent
outdoors, indoors, and in motor vehicles. The significant characteristics were used
to develop longitudinal activity profiles from single-day activity data.

Results and	SHEDS-Air Toxics estimates an individual's exposure to benzene in several

Impact	specific microenvironments (e.g., indoors at home, in vehicles, outdoors) using

ambient benzene concentrations and exposure factors. Inhaled dose is calculated
from the microenvironmental exposure concentrations (all using hourly ambient
concentration data) and activity-level-specific breathing rates. The model includes
exposure calculations specific to mobile source pollutants and activities. The
model not only provides improved human exposure estimates to air toxics, but
points to parameters where additional research is needed to reduce the uncertainty
in exposure assessments.

The SHEDS-Air Toxics model provides independent estimates of population
exposures to air toxics in support of EPA's research programs in human exposure,
human health effects, and source emissions characterization. This model allows
EPA's Office of Air and Radiation, Regional Offices, and State agencies to
improve their mobile source and urban air toxics exposure assessments.

Collaboration with EPA/NERL on this research effort included contributions from
ManTech Environmental Technology, Inc.

Examples of recent publications from this study include the following:

Research
Collaboration and
Research
Products

National Exposure Research Laboratory — October 2003


-------
Graham SE and JM Burke. 2003. "Microenvironmental exposures to benzene: a critical review and
probabilistic model input distribution development." EPA/600/.T-03/008.

Graham SE and McCurdy. 2003. "Developing meaningful cohorts for human exposure modeling.
Journal of Exposure Analysis and Environmental Epidemiology. Accepted.

Future Research Future research will include model development to permit application to a wide
range of individual air toxics and mixtures of compounds. Chemicals associated
with mobile sources will be addressed first, followed by pollutants that have
significant pathways of exposure other than inhalation. Work will also be
conducted to link SHEDS-Air Toxics with dosimetry and physiologically-based
pharmokinetic models to enhance the current capabilities for characterizing
absorption, distribution, metabolism, and elimination. Finally, work will be
conducted to incorporate or link source and/or emission models to SHEDS-Air
Toxics. Initial research in this area will focus on indoor sources and associated
chemicals such as various aldehydes emitted from furniture and paints.

Contacts for	Questions and inquiries can be directed to the principal investigator:

Additional

Information	Stephen E. Graham, Ph.D.

U.S. EPA, Office of Research and Development

National Exposure Research Laboratory

Mail Drop E205-02

109 T.W. Alexander Drive

Research Triangle Park, NC 27711

Phone: 919-541-4344

E-mail: graham.stephen@epa. gov

Federal funding for this research was administered under EPA Contract #69-D-
00-206 to ManTech Environmental Technology, Inc.

National Exposure Research Laboratory — October 2003


-------