Development and evaluation of probability density functions for a set of human exposure factors
Author(s) -
Randy L. Maddalena,
T.E. McKone,
А.В. Боднар,
Jodi M. Jacobson
Publication year - 1999
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/752240
Subject(s) - superfund , risk assessment , exposure assessment , probabilistic logic , ranking (information retrieval) , probabilistic risk assessment , hazardous waste , environmental health , risk analysis (engineering) , environmental planning , engineering , computer science , environmental science , business , waste management , medicine , computer security , artificial intelligence , machine learning
The purpose of this report is to describe efforts carried out during 1998 and 1999 at the Lawrence Berkeley National Laboratory to assist the U.S. EPA in developing and ranking the robustness of a set of default probability distributions for exposure assessment factors. Among the current needs of the exposure-assessment community is the need to provide data for linking exposure, dose, and health information in ways that improve environmental surveillance, improve predictive models, and enhance risk assessment and risk management (NAS, 1994). The U.S. Environmental Protection Agency (EPA) Office of Emergency and Remedial Response (OERR) plays a lead role in developing national guidance and planning future activities that support the EPA Superfund Program. OERR is in the process of updating its 1989 Risk Assessment Guidance for Superfund (RAGS) as part of the EPA Superfund reform activities. Volume III of RAGS, when completed in 1999 will provide guidance for conducting probabilistic risk assessments. This revised document will contain technical information including probability density functions (PDFs) and methods used to develop and evaluate these PDFs. The PDFs provided in this EPA document are limited to those relating to exposure factors
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