Probabilistic Approach to Identify Sensitive Parameter Distributions in Multimedia Pathway Analysis
Publication: Practice Periodical of Hazardous, Toxic, and Radioactive Waste Management
Volume 6, Issue 1
Abstract
Sensitive parameter distributions were identified with the use of probabilistic analysis in the RESRAD computer code. RESRAD is a multimedia pathway analysis code designed to evaluate radiological exposures resulting from radiological contamination in soil. The dose distribution was obtained by using a set of default parameter distribution/values. Most of the variations in the output dose distribution could be attributed to uncertainty in a small set of input parameters that could be considered as sensitive parameter distributions. The identification of the sensitive parameters is a first step in the prioritization of future research and information gathering. When site-specific parameter distribution/values are available for an actual site, the same process should be used with these site-specific data. Regression analysis used to identify sensitive parameters indicated that the dominant pathways depended on the radionuclide and source configurations. However, two parameter distributions were sensitive for many radionuclides: the external shielding factor when external exposure was the dominant pathway and the plant transfer factor when plant ingestion was the dominant pathway. No single correlation or regression coefficient can be used alone to identify sensitive parameters in all the cases. The coefficients are useful guides, but they have to be used in conjunction with other aids, such as scatter plots, and should undergo further analysis.
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References
Biwer, B. M., et al. (2000). “Parameter distributions for use in RESRAD and RESRAD-BUILD computer codes, revision 1.” Argonne National Laboratory, Argonne, Ill., for U.S. Nuclear Regulatory Commission, Washington, D.C.
Cheng, J.-J., et al. (1999). “Selection of RESRAD and RESRAD-BUILD input parameters for detailed distribution analysis, revision 1.” Argonne National Laboratory, Argonne, Ill., for U.S. Nuclear Regulatory Commission, Washington, D.C.
Cullen, A. C., and Frey, H. C. (1999). Probabilistic techniques in exposure assessment, Plenum Press, New York.
Iman, R. L., and Helton, J. C. (1985). “A comparison of uncertainty and sensitivity analysis techniques for computer models.” NUREG/CR-3904, SAND84-1461 RG, Sandia National Laboratories, Albuquerque, N.M., for U.S. Nuclear Regulatory Commission, Washington, D.C.
Kamboj, S., et al. (2000). “Probabilistic dose analysis using parameter distributions developed for RESRAD and RESRAD-BUILD codes.” NUREG/CR-6676, ANL/EAD/TM-89, Argonne National Laboratory, Argonne, Ill., for U.S. Nuclear Regulatory Commission, Washington, D.C.
Kennedy, W. E., and Strenge, D. L. (1992). “Residual radioactive contamination from decommissioning, volume 1: Technical basis for translating contamination levels to annual total effective dose equivalent.” NUREG/CR-5512, Pacific Northwest Laboratory, Richland, Wash., for U.S. Nuclear Regulatory Commission, Washington, D.C.
McKay, M. D., et al. (1979). “A comparison of three methods for selecting values of input variables in the analysis of output from a computer code,” Technometrics, 21(2), 239–245.
Yu, C. (1999). “Chapter 11: RESRAD family of codes and comparison with other codes for decontamination and restoration of nuclear facilities.” Health Physics Society 1999 summer school textbook, M. J. Slobodien, ed., Medical Physics, Madison, Wis., 207–231.
Yu, C., et al. (2001). User’s manual for RESRAD version 6, ANL/EAD-4, Argonne National Laboratory, Argonne, Ill.
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Copyright © 2002 American Society of Civil Engineers.
History
Received: Oct 3, 2001
Accepted: Oct 5, 2001
Published online: Jan 1, 2002
Published in print: Jan 2002
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