Published February 2014 | Version v1
Journal article

Expected dose and associated uncertainty and sensitivity analysis results for the human intrusion scenario in the 2008 performance assessment for the proposed high-level radioactive waste repository at Yucca Mountain, Nevada

  • 1. Sandia National Laboratories, Albuquerque, NM 87185 (United States)
  • 2. AREVA Resources Canada Inc., Saskatoon, Saskatchewan S7K 3X5 (Canada)
  • 3. Southern Nevada Water Authority, Las Vegas, NV 89153 (United States)
  • 4. Navarro-Intera, LLC, Las Vegas, NV 89031 (United States)
  • 5. Savannah River Remediation, LLC, Aiken, SC 29808 (United States)
  • 6. AREVA Federal Services, Richland, WA 99354 (United States)
  • 7. INTERA Inc., Austin, TX 78754 (United States)

Description

Extensive work has been carried out by the U.S. Department of Energy (DOE) in the development of a proposed geologic repository at Yucca Mountain (YM), Nevada, for the disposal of high-level radioactive waste. In support of this development and an associated license application to the U.S. Nuclear Regulatory Commission (NRC), the DOE completed an extensive performance assessment (PA) for the proposed YM repository in 2008. This presentation describes the determination of expected (mean) dose to the reasonably maximally exposed individual (RMEI) specified in the NRC regulations for the YM repository resulting from an inadvertent drilling intrusion into the repository. The following topics are addressed: (i) assumed properties of an inadvertent drilling intrusion and the determination of the associated dose and expected (mean) dose to the RMEI, (ii) uncertainty and sensitivity analysis results for expected dose to the RMEI, and (iii) the numerical stability of the sampling-based procedure used to estimate expected (mean) dose to the RMEI. The present article is part of a special issue of Reliability Engineering and System Safety devoted to the 2008 YM PA; additional articles in the issue describe other aspects of the 2008 YM PA. - Highlights: • We describe the models employed for the analysis of an inadvertent drilling intrusion into the repository. • Expected dose and expected (mean) dose results for inadvertent drilling intrusions are presented. • We demonstrate numerical stability of the sampling-based uncertainty and sensitivity analysis procedures

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ress.2013.06.023

Additional details

Identifiers

DOI
10.1016/j.ress.2013.06.023;
PII
S0951-8320(13)00188-9;

Publishing Information

Journal Title
Reliability Engineering and System Safety
Journal Volume
122
Journal Page Range
p. 436-441
ISSN
0951-8320
CODEN
RESSEP

Optional Information

Copyright
Copyright (c) 2013 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.