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How did Fukushima-Daiichi core meltdown change the probability of nuclear accidents?

Author

Listed:
  • Lina Escobar Rangel

    (CERNA i3 - Centre d'économie industrielle i3 - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris Sciences et Lettres - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique)

  • François Lévêque

    (CERNA i3 - Centre d'économie industrielle i3 - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris Sciences et Lettres - I3 - Institut interdisciplinaire de l’innovation - CNRS - Centre National de la Recherche Scientifique)

Abstract

What increase in probability the Fukushima Dai-ichi event does entail? Many models and approaches can be used to answer these questions. Poisson regression as well as Bayesian updating are good candidates. However, they fail to address these issues properly because the independence assumption in which they are based on is violated. We propose a Poisson Exponentially Weighted Moving Average (PEWMA) based in a state-space time series approach to overcome this critical drawback. We find an increase in the risk of a core meltdown accident for the next year in the world by a factor of ten owing to the new major accident that took place in Japan in 2011.

Suggested Citation

  • Lina Escobar Rangel & François Lévêque, 2012. "How did Fukushima-Daiichi core meltdown change the probability of nuclear accidents?," Working Papers hal-00740684, HAL.
  • Handle: RePEc:hal:wpaper:hal-00740684
    Note: View the original document on HAL open archive server: https://minesparis-psl.hal.science/hal-00740684v1
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    References listed on IDEAS

    as
    1. Kadak, Andrew C. & Matsuo, Toshihiro, 2007. "The nuclear industry's transition to risk-informed regulation and operation in the United States," Reliability Engineering and System Safety, Elsevier, vol. 92(5), pages 609-618.
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    Keywords

    nuclear risk; nuclear safety; time series count data;
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