• DocumentCode
    3350103
  • Title

    Atmospheric transport modeling based estimation of radioactive release from the Fukushima Dai-ichi nuclear power plant accident

  • Author

    Plastino, W. ; Schoppner, M. ; Bella, F. ; De Vincenzi, M. ; Povinec, Pavel P. ; Wotawa, G. ; Budano, A. ; Ruggieri, F.

  • Author_Institution
    Dept. of Phys., Univ. of Roma Tre, Rome, Italy
  • Volume
    4
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    2002
  • Lastpage
    2005
  • Abstract
    As a consequence of the accident at the Fukushima Dai-ichi nuclear power plant on March 2011, it is important to characterize radioactivity release into the environment. Several isotopes, amongst others caesium-137 and iodine-131, are monitored at multiple stations throughout the world by the International Monitoring System of the Comprehensive Nuclear Test Ban Treaty Organization. In this paper it is demonstrated how a worst case estimation of the radioactive release would contribute to the IMS signal. The sensitivity between source and receptor was determined using the Atmospheric Transport Modeling (ATM), running on the GRID computing facility of the Italian National Institute of Nuclear Physics (INFN) - Roma Tre. The simulations were compared with actual measurements.
  • Keywords
    atmospheric composition; fission reactor accidents; radioisotopes; AD 2011 03; Comprehensive Nuclear Test Ban Treaty Organization; Fukushima Dai-ichi nuclear power plant accident; GRID computing facility; IMS signal; International Monitoring System; Italian National Institute of Nuclear Physics; Roma Tre; atmospheric transport modeling; caesium-137; iodine-131; radioactivity release; Accidents; Asynchronous transfer mode; Atmospheric measurements; Atmospheric modeling; Estimation; Isotopes; Sensitivity; atmospheric transport modeling; caesium; iodine; nuclear power plant;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2011 Seventh International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2157-9555
  • Print_ISBN
    978-1-4244-9950-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2011.6022577
  • Filename
    6022577