A Monte Carlo Procedure for the Construction of Complementary Cumulative Distribution Functions for Comparison with the EPA Release Limits for Radioactive Waste Disposal
- 1 February 1996
- journal article
- research article
- Published by Wiley in Risk Analysis
- Vol. 16 (1) , 43-55
- https://doi.org/10.1111/j.1539-6924.1996.tb01435.x
Abstract
A Monte Carlo procedure for the construction of complementary cumulative distribution functions (CCDFs) for comparison with the U.S. Environmental Protection Agency (EPA) release limits for radioactive waste disposal (40 CFR 191, Subpart B) is described and illustrated with results from a recent performance assessment (PA) for the Waste Isolation Pilot Plant (WIPP). The Monte Carlo procedure produces CCDF estimates similar to those obtained with importance sampling in several recent PAs for the WIPP. The advantages of the Monte Carlo procedure over importance sampling include increased resolution in the calculation of probabilities for complex scenarios involving drilling intrusions and better use of the necessarily limited number of mechanistic calculations that underlie CCDF construction.Keywords
This publication has 14 references indexed in Scilit:
- Effect of alternative conceptual models in a preliminary performance assessment for the waste isolation pilot plantNuclear Engineering and Design, 1995
- Treatment of Uncertainty in Performance Assessments for Complex SystemsRisk Analysis, 1994
- Construction of complementary cumulative distribution functions for comparison with the EPA release limits for radioactive waste disposalReliability Engineering & System Safety, 1993
- Drilling intrusion probabilities for use in performance assessment for radioactive waste disposalReliability Engineering & System Safety, 1993
- On Farmer’s Line, Probability Density Functions, and Overall RiskNuclear Technology, 1986
- Limit Lines for RiskNuclear Technology, 1982
- A distribution-free approach to inducing rank correlation among input variablesCommunications in Statistics - Simulation and Computation, 1982
- On The Quantitative Definition of RiskRisk Analysis, 1981
- A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer CodeTechnometrics, 1979
- Monte Carlo MethodsPublished by Springer Nature ,1964