Characterization of stochastic uncertainty in the 1996 performance assessment for the Waste Isolation Pilot Plant

被引:24
|
作者
Helton, JC
Davis, FJ
Johnson, JD
机构
[1] Sandia Natl Labs, Dept 6849, Albuquerque, NM 87185 USA
[2] Arizona State Univ, Dept Math, Tempe, AZ 85287 USA
[3] GRAM Inc, Albuquerque, NM 87112 USA
关键词
aleatory uncertainty; complementary cumulative distribution function; compliance certification application; epistemic uncertainty; Latin hypercube sampling; performance assessment; radioactive waste; random sampling; scenario; stochastic uncertainty; subjective uncertainty; transuranic waste; Waste Isolation Pilot Plant;
D O I
10.1016/S0951-8320(00)00031-4
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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 stochastic uncertainty is discussed, including drilling intrusion time, drilling location, penetration of excavated/nonexcavated areas of the repository, penetration of pressurized brine beneath the repository, borehole plugging patterns, activity level of waste, and occurrence of potash mining. Additional topics discussed include sampling procedures, generation of individual 10,000-yr futures for the WIPP, construction of complementary cumulative distribution functions (CCDFs), mechanistic calculations carried out to support CCDF construction, the Kaplan/Ganick ordered triple representation fur risk, and determination of scenarios and scenario probabilities. Published by Elsevier Science Ltd.
引用
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页码:167 / 189
页数:23
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