title: Performance assessment in support of the 1996 compliance certification application for the Waste Isolation Pilot Plant.
abstract: The conceptual and computational structure of a performance assessment (PA) for the Waste Isolation Pilot Plant (WIPP) is described. Important parts of this structure are (1) maintenance of a separation between stochastic (i.e., aleatory) and subjective (i.e., epistemic) uncertainty, with stochastic uncertainty arising from the many possible disruptions that could occur over the 10,000-year regulatory period that applies to the WIPP, and subjective uncertainty arising from the imprecision with which many of the quantities required in the analysis are known, (2) use of Latin hypercube sampling to incorporate the effects of subjective uncertainty, (3) use of Monte Carlo (i.e., random) sampling to incorporate the effects of stochastic uncertainty, and (4) efficient use of the necessarily limited number of mechanistic calculations that can be performed to support the analysis. The WIPP is under development by the U.S. Department of Energy (DOE) for the geologic (i.e., deep underground) disposal of transuranic (TRU) waste, with the indicated PA supporting a Compliance Certification Application (CCA) by the DOE to the U.S. Environmental Protection Agency (EPA) in October 1996 for the necessary certifications for the WIPP to begin operation. The EPA certified the WIPP for the disposal of TRU waste in May 1998, with the result that the WIPP will be the first operational facility in the United States for the geologic disposal of radioactive waste.
authors.affiliation: Department of Mathematics, Arizona State University, Tempe 85287-1804, USA.
authors.forename: J C
authors.initials: JC
authors.lastname: Helton
authors.forename: D R
authors.initials: DR
authors.lastname: Anderson
authors.forename: H N
authors.initials: HN
authors.lastname: Jow
authors.forename: M G
authors.initials: MG
authors.lastname: Marietta
authors.forename: G
authors.initials: G
authors.lastname: Basabilvazo
mesh_terms: D055593:Geological Phenomena; D005844:Geology; D006801:Humans; D015233:Models, Statistical; D009516:New Mexico; D011850:Radioactive Waste / Q000331:legislation & jurisprudence; D018570:Risk Assessment; D013269:Stochastic Processes; D014481:United States; D014484:United States Environmental Protection Agency; D018505:Waste Management / Q000331:legislation & jurisprudence / Q000706:statistics & numerical data
chemical_list: D011850:Radioactive Waste