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HERO ID
10254228
Reference Type
Technical Report
Title
Exposure and Fate Assessment Screening Tool (E-FAST 2014) - Documentation manual
Author(s)
Versar :: Versar
Year
2014
Publisher
U.S. Environmental Protection Agency
Location
Washington, DC
Number of Pages
174
Language
English
URL
https://www.epa.gov/tsca-screening-tools/e-fast-exposure-and-fate-assessment-screening-tool-version-2014
Relationship(s)
is related to other part(s)
4565445
Exposure and Fate Assessment Screening Tool Version 2014 (E-FAST 2014)
Abstract
The Exposure and Fate Assessment Screening Tool, Version 2.0, also known as E-FAST V2.0, is a screening-level computer tool that allows users to estimate chemical concentrations in water to which aquatic life may be exposed, as well as generate human inhalation, drinking water ingestion, and fish ingestion exposures resulting from chemical releases to air, water, and land. In addition, E-FAST V2.0 identifies endangered species in the vicinity of releases at known locations—“site-specific” releases. EFAST V2.0 also may be used to assess inhalation and dermal exposures to chemicals that may result from the use of certain types of consumer products. The exposed populations assessed by the model are either some segment of the general population or consumers. Worker exposures are not assessed in this model. The exposure scenarios in E-FAST V2.0 contain default exposure parameter values that allow the exposures to be estimated with minimal data entry. Because E-FAST V2.0 incorporates defaults of either a combination of upper percentile and mean exposure parametric values or all upper percentile parametric values, the exposure/dose estimates are considered to be high-end estimates.
E-FAST V2.0 was developed to support U.S. Environmental Protection Agency (EPA) assessments of potential exposures to chemicals. Screening-level models are rarely if ever used as the sole justification for regulatory decision-making at EPA. Additional data and more rigorous tools are used to improve the estimates of exposures and risks for such decisions. Thus, the model’s results may not accurately reflect all of the information and data used by EPA to make a regulatory decision on a chemical.
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