Record Display for the EPA National Library Catalog

RECORD NUMBER: 45 OF 127

Main Title Exposure Assessment Methodologies for Humans and Ecosystems.
Author Vallero, D. A. ;
CORP Author Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Research and Exposure Assessment Lab.
Publisher 1994
Year Published 1994
Report Number EPA/600/A-94/252;
Stock Number PB95-148631
Additional Subjects Humans ; Ecosystems ; Exposure ; Risk assessment ; Public health ; Pollutants ; Path of pollutants ; Assessments ; Environmental effects ; Biological effects ; Pollution sources ; Biological markers ; Doses ; Exposure assessment methods ; Source-receptor relationships
Internet Access
Description Access URL
https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P100P6OU.PDF
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB95-148631 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 19p
Abstract
Health scientists and risk assessment experts are developing approaches to estimate exposure of human populations and ecosystems to environmental contaminants. Ecological scientists are exploring methodologies for estimating the exposure of ecosystems, or subdivisions within an ecosystem, to environmental stresses, while human health scientists are investigating approaches for estimating exposures to contaminants that can affect human health. Exposure assessment methods vary significantly, depending upon factors, such as the scale of the exposure, the measurement focus, and level of biological organization. The paper discusses the elements of ecological and human exposure assessment methodologies. Examples of multiple pathway exposure assessments are provided to illustrate human exposure concepts, and how they may also apply to ecosystem exposure assessments. Ecosystem and human exposure assessment paradigms are compared and contrasted with regard to the level of biological organization, source-receptor relationships, biomarkers, dose, pollutant characteristics, and modeling.