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Methodology for Assessment of Uncertain Input Data for a Level-3 PRA Analysis of a Nuclear Reactor Accident using MACCS2

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Probabilistic Safety Assessment and Management

Abstract

MACCS2 [1] is a probabilistic accident consequence code that estimates the risks from the operation of nuclear installations, based on the postulated frequencies and severities of potential accidents. The risk estimates provide one of many inputs for judgments on risk acceptability and ways to reduce the excess conservatism in offsite consequence calculations. The uncertainty associated with these risk estimates has an important role in guiding efforts to reduce risks.

Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the Untied States Department of Energy’s National Nuclear Security Administration under contract DE-AC04-94AL85000.

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References

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© 2004 Springer-Verlag London

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Bixler, N.E., Morrow, C.W., Phillips, J.M., Fatenejad, M., Mitchell, J. (2004). Methodology for Assessment of Uncertain Input Data for a Level-3 PRA Analysis of a Nuclear Reactor Accident using MACCS2. In: Spitzer, C., Schmocker, U., Dang, V.N. (eds) Probabilistic Safety Assessment and Management. Springer, London. https://doi.org/10.1007/978-0-85729-410-4_589

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  • DOI: https://doi.org/10.1007/978-0-85729-410-4_589

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-1057-6

  • Online ISBN: 978-0-85729-410-4

  • eBook Packages: Springer Book Archive

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