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Title: Characterization of subjective uncertainty in the 1996 performance assessment for the Waste Isolation Pilot Plant

Abstract

The 1996 performance assessment (PA) for the Waste Isolation Pilot Plant (WIPP) maintains a separation between stochastic (i.e., aleatory) and subjective (i.e., epistemic) uncertainty, with stochastic uncertainty arising from the possible disruptions that could occur at the WIPP over the 10,000 yr regulatory period specified by the US Environmental Protection Agency (40 CFR 191,40 CFR 194) and subjective uncertainty arising from an inability to uniquely characterize many of the inputs required in the 1996 WIPP PA. The characterization of subjective uncertainty is discussed, including assignment of distributions, uncertain variables selected for inclusion in analysis, correlation control, sample size, statistical confidence on mean complementary cumulative distribution functions, generation of Latin hypercube samples, sensitivity analysis techniques, and scenarios involving stochastic and subjective uncertainty.

Authors:
; ;
Publication Date:
Research Org.:
Sandia National Labs., Albuquerque, NM (US); Sandia National Labs., Livermore, CA (US)
Sponsoring Org.:
US Department of Energy (US)
OSTI Identifier:
755473
Report Number(s):
SAND99-1883J
TRN: US0003606
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Journal Article
Journal Name:
Reliability Engineering and System Safety (Special Journal Issue)
Additional Journal Information:
Other Information: Submitted to Reliability Engineering and System Safety (Special Journal Issue); PBD: 18 May 2000
Country of Publication:
United States
Language:
English
Subject:
12 MANAGEMENT OF RADIOACTIVE WASTES, AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIES; 11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS; WIPP; PERFORMANCE; PROBABILISTIC ESTIMATION; RISK ASSESSMENT; DATA COVARIANCES; SENSITIVITY ANALYSIS; RADIATION ACCIDENTS; ALEATORY UNCERTAINTY; COMPLEMENTARY CUMULATIVE DISTRIBUTION FUNCTION; COMPLIANCE CERTIFICATION APPLICATION; EPISTEMIC UNCERTAINTY; LATIN HYPERCUBE SAMPLING; PERFORMANCE ASSESSMENT; RADIOACTIVE WASTE; SCENARIO; STOCHASTIC UNCERTAINTY; SUBJECTIVE UNCERTAINTY; TRANSURANIC WASTE; WASTE ISOLATION PILOT PLANT; 40 CFR 191; 40 CFR 194

Citation Formats

HELTON,JON CRAIG, MARTELL,MARY-ALENA, and TIERNEY,MARTIN S. Characterization of subjective uncertainty in the 1996 performance assessment for the Waste Isolation Pilot Plant. United States: N. p., 2000. Web.
HELTON,JON CRAIG, MARTELL,MARY-ALENA, & TIERNEY,MARTIN S. Characterization of subjective uncertainty in the 1996 performance assessment for the Waste Isolation Pilot Plant. United States.
HELTON,JON CRAIG, MARTELL,MARY-ALENA, and TIERNEY,MARTIN S. Thu . "Characterization of subjective uncertainty in the 1996 performance assessment for the Waste Isolation Pilot Plant". United States. https://www.osti.gov/servlets/purl/755473.
@article{osti_755473,
title = {Characterization of subjective uncertainty in the 1996 performance assessment for the Waste Isolation Pilot Plant},
author = {HELTON,JON CRAIG and MARTELL,MARY-ALENA and TIERNEY,MARTIN S.},
abstractNote = {The 1996 performance assessment (PA) for the Waste Isolation Pilot Plant (WIPP) maintains a separation between stochastic (i.e., aleatory) and subjective (i.e., epistemic) uncertainty, with stochastic uncertainty arising from the possible disruptions that could occur at the WIPP over the 10,000 yr regulatory period specified by the US Environmental Protection Agency (40 CFR 191,40 CFR 194) and subjective uncertainty arising from an inability to uniquely characterize many of the inputs required in the 1996 WIPP PA. The characterization of subjective uncertainty is discussed, including assignment of distributions, uncertain variables selected for inclusion in analysis, correlation control, sample size, statistical confidence on mean complementary cumulative distribution functions, generation of Latin hypercube samples, sensitivity analysis techniques, and scenarios involving stochastic and subjective uncertainty.},
doi = {},
journal = {Reliability Engineering and System Safety (Special Journal Issue)},
number = ,
volume = ,
place = {United States},
year = {2000},
month = {5}
}