Application of Bayesian network to the probabilistic risk assessment of nuclear waste disposal

Chang-Ju Lee and Kun Jai Lee

Reliability Engineering and System Safety, 2006, vol. 91, issue 5, 515-532

Abstract: The scenario in a risk analysis can be defined as the propagating feature of specific initiating event which can go to a wide range of undesirable consequences. If we take various scenarios into consideration, the risk analysis becomes more complex than do without them. A lot of risk analyses have been performed to actually estimate a risk profile under both uncertain future states of hazard sources and undesirable scenarios. Unfortunately, in case of considering specific systems such as a radioactive waste disposal facility, since the behaviour of future scenarios is hardly predicted without special reasoning process, we cannot estimate their risk only with a traditional risk analysis methodology. Moreover, we believe that the sources of uncertainty at future states can be reduced pertinently by setting up dependency relationships interrelating geological, hydrological, and ecological aspects of the site with all the scenarios. It is then required current methodology of uncertainty analysis of the waste disposal facility be revisited under this belief.

Keywords: Scenario; Probabilistic risk assessment; Bayesian network; Probabilistic inference; Causal dependency; Likelihood weighting algorithm; Uncertainty propagation; Waste disposal (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (14)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:91:y:2006:i:5:p:515-532

DOI: 10.1016/j.ress.2005.03.011

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