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Performance Assessment for the Waste Isolation Pilot Plant: From Regulation to Calculation for 40 CFR 191.13

Author

Listed:
  • J. C. Helton

    (Arizona State University, Tempe, Arizona)

  • D. R. Anderson

    (Sandia National Laboratories, Albuquerque, New Mexico)

  • M. G. Marietta

    (Sandia National Laboratories, Albuquerque, New Mexico)

  • R. P. Rechard

    (Sandia National Laboratories, Albuquerque, New Mexico)

Abstract

The Waste Isolation Pilot Plant (WIPP) is being developed by the U.S. Department of Energy as a disposal facility for transuranic waste and must comply with several environmental regulations, including the U.S. Environmental Protection Agency's standard for geologic disposal of radioactive waste (40 CFR 191). Procedures used in recent performance assessments for the WIPP to translate regulations into a structure that facilitates quantitative analysis are described. Topics considered include (1) development of a clear conceptual representation for problems that are initially ill-defined, (2) conversion of qualitative guidance into numerical calculations. (3) explicit incorporation of different types of uncertainty (i.e., aleatory and epistemic) into analysis outcomes, (4) requirements for efficient computation and models at different levels of complexity, (5) use of sensitivity analysis to guide additional data collection and future calculations, (6) requirements for results to be presented and explained to audiences with different interests and levels of sophistication, and (7) ambiguity with respect to final uses of the analysis and its outcomes. The need to address similar concepts and problems arises in many analyses.

Suggested Citation

  • J. C. Helton & D. R. Anderson & M. G. Marietta & R. P. Rechard, 1997. "Performance Assessment for the Waste Isolation Pilot Plant: From Regulation to Calculation for 40 CFR 191.13," Operations Research, INFORMS, vol. 45(2), pages 157-177, April.
  • Handle: RePEc:inm:oropre:v:45:y:1997:i:2:p:157-177
    DOI: 10.1287/opre.45.2.157
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    Citations

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    Cited by:

    1. J. C. Helton & D. R. Anderson & H.‐N. Jow & M. G. Marietta & G. Basabilvazo, 1999. "Performance Assessment in Support of the 1996 Compliance Certification Application for the Waste Isolation Pilot Plant," Risk Analysis, John Wiley & Sons, vol. 19(5), pages 959-986, October.
    2. Helton, Jon C. & Johnson, Jay D. & Sallaberry, Cédric J., 2011. "Quantification of margins and uncertainties: Example analyses from reactor safety and radioactive waste disposal involving the separation of aleatory and epistemic uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 96(9), pages 1014-1033.
    3. Victor R. Vasquez & Wallace B. Whiting, 2005. "Accounting for Both Random Errors and Systematic Errors in Uncertainty Propagation Analysis of Computer Models Involving Experimental Measurements with Monte Carlo Methods," Risk Analysis, John Wiley & Sons, vol. 25(6), pages 1669-1681, December.
    4. Pilch, Martin & Trucano, Timothy G. & Helton, Jon C., 2011. "Ideas underlying the Quantification of Margins and Uncertainties," Reliability Engineering and System Safety, Elsevier, vol. 96(9), pages 965-975.
    5. Rob P. Rechard, 1999. "Historical Relationship Between Performance Assessment for Radioactive Waste Disposal and Other Types of Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 19(5), pages 763-807, October.
    6. Tim Bedford, 2013. "Decision Making for Group Risk Reduction: Dealing with Epistemic Uncertainty," Risk Analysis, John Wiley & Sons, vol. 33(10), pages 1884-1898, October.
    7. E Angün & J Kleijnen & D den Hertog & G Gürkan, 2009. "Response surface methodology with stochastic constraints for expensive simulation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(6), pages 735-746, June.

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