Back to Search Start Over

The 3MRA Risk Assessment Framework--A Flexible Approach for Performing Multimedia, Multipathway, and Multireceptor Risk Assessments Under Uncertainty.

Authors :
Guvanasen, V.
Saleem, Z. A.
Marin, C. M.
Source :
Human & Ecological Risk Assessment. Dec2003, Vol. 9 Issue 7, p1655-1677. 23p. 2 Diagrams, 1 Chart, 4 Graphs.
Publication Year :
2003

Abstract

A flexible framework lor conducting nationwide multimedia, multipathway and multireceptor risk assessments (3MRA) under uncertainty was developed to estimate protective chemical concentration limits in a source area. The framework consists of two components: risk assessment and uncertainty analysis. The risk component utilizes linked source, fate /transport, exposure and risk assessment models to estimate the risk exposures for the receptors of concern. Both human and ecological receptors are included in the risk assessment framework. The flexibility of the framework is based on its ability to address problems varying in spatial scales from site-specific to regional and even national levels; and its ability to accommodate varying types of source, fate/transport, exposure and risk assessment models. The uncertainty component of the 3MRA framework is based on a two-stage Monte Carlo methodology. It allows the calculation of uncertainty in risk estimates, and the incorporation of the effects of uncertainty on the determination of regulatory concentration limits a" a function of variability and uncertainty in input data, as well as potential errors in fate and transport and risk and exposure models. The framework can be adapted to handle a wide range of multimedia risk assessment problems. Two examples are presented to illustrate its use, and to demonstrate how regulatory decisions can be structured to incorporate the uncertainty in risk estimates. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10807039
Volume :
9
Issue :
7
Database :
Academic Search Index
Journal :
Human & Ecological Risk Assessment
Publication Type :
Academic Journal
Accession number :
12175942