Application of quantitative uncertainty analysis for human health risk assessment at Rocky Flats
- Dames Moore, Denver, CO (United States)
- EG G Rocky Flats Inc., Golden, CO (United States)
- Oak Ridge National Lab., TN (United States)
The characterization of uncertainty is an important component of the risk assessment process. According to the U.S. Environmental Protection Agency's (EPA's) [open quotes]Guidance on Risk Characterization for Risk Managers and Risk Assessors,[close quotes] point estimates of risk [open quotes]do not fully convey the range of information considered and used in developing the assessment.[close quotes] Furthermore, the guidance states that the Monte Carlo simulation may be used to estimate descriptive risk percentiles. To provide information about the uncertainties associated with the reasonable maximum exposure (RME) estimate and the relation of the RME to other percentiles of the risk distribution for Operable Unit 1 (OU-1) at Rocky Flats, uncertainties were identified and quantitatively evaluated. Monte Carlo simulation is a technique that can be used to provide a probability function of estimated risk using random values of exposure factors and toxicity values in an exposure scenario. The Monte Carlo simulation involves assigning a joint probability distribution to the input variables (i.e., exposure factors) of an exposure scenario. Next, a large number of independent samples from the assigned joint distribution are taken and the corresponding outputs calculated. Methods of statistical inference are used to estimate, from the output sample, some parameters of the output distribution, such as percentiles and the expected value.
- OSTI ID:
- 7131858
- Report Number(s):
- CONF-931160--
- Journal Information:
- Transactions of the American Nuclear Society; (United States), Journal Name: Transactions of the American Nuclear Society; (United States) Vol. 69; ISSN 0003-018X; ISSN TANSAO
- Country of Publication:
- United States
- Language:
- English
Similar Records
Case study of residential exposure pathways: A probabilistic risk assessment using Monte Carlo simulation
Comparing two methods for addressing uncertainty in risk assessments
Related Subjects
11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS
CALCULATION METHODS
DOSES
HAZARDS
HEALTH HAZARDS
HUMAN POPULATIONS
MONTE CARLO METHOD
NATIONAL ORGANIZATIONS
POPULATIONS
RADIATION DOSE DISTRIBUTIONS
RADIATION DOSES
RADIATION HAZARDS
RISK ASSESSMENT
ROCKY FLATS PLANT
UNCERTAINTY PRINCIPLE
US AEC
US DOE
US EPA
US ERDA
US ORGANIZATIONS