Sensitivity Studies of the Swift Radionuclide Transport Model
Risk analysis is a vital part of any safety assessment of a proposed nuclear waste depository. Risk analysis results are expressed in terms of radiation-induced health effects and are calculated using mathematical models. These models describe the following processes: 1) radionuclide migration in groundwater from the depository to a discharge point in the surface environment, 2) radionuclide migration and accumulation in the surface environment, 3) human uptake and 4) radiation dosimetry and health effects. There are large uncertainties associated with many of the input variables to these models so that ranges, rather than point values, are often specified. Consequently, the risk estimates themselves have large uncertainties. Therefore, point estimates of risk, without an indication of the possible distribution of results, are probably meaningless and may be misleading.
KeywordsResponse Surface Reference Site Radioactive Waste Latin Hypercube Sampling Transport Calculation
Unable to display preview. Download preview PDF.
- 1.R. T. Dillon, R. B. Lantz, and S. B. Pahwa, Risk Methodology for Geologic Disposal of Radioactive Waste: The Sandia Waste Isolation Flow and Transport (SWIFT) Model, SAND78–1267, Sandia Laboratories, Albuquerque, NM (1978).Google Scholar
- 2.R. L. Inman, J. C. Helton and J. E. Campbell, Risk Methodology for Geologic Disposal of Radioactive Waste: Sensitivity Analysis Techniques, SAND78–0912, Sandia Laboratories, Albuquerque, NM (1978).Google Scholar
- 3.J. E. Campbell, Risk Methodology for Geologic Disposal of Radioactive Waste: Interim Report, SAND78–0029, Sandia Laboratories, NM (1978).Google Scholar
- 4.M. D. McKay, W. J. Conover and R. J. Beckman, “A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code,” TECHNOMETRICS (to be published)Google Scholar
- 5.R. L. Iman and W. J. Conver, “The Use of the Rank Transformation in Regression,” TECHNOMETRICS 21 (to be published).Google Scholar
- 6.R. L. Iman and W. J. Conover, “Small Sample Sensitivity Analysis Techniques for Computer Models with Application to Risk Assessment,” submitted to Communications in Statistics.Google Scholar
- 7.J. C. Helton and R. L. Iman, Risk Methodology for Geologic Disposal of Radioactive Waste. Sensitivity Analysis of Pathways Model, SAND79–1393, Sandia Laboratories, Albuquerque, NM (1980).Google Scholar