• DocumentCode
    1672251
  • Title

    The Fukushima inverse problem

  • Author

    Martinez-Camara, Marta ; Dokmanic, Ivan ; Ranieri, Juri ; Scheibler, Robin ; Vetterli, Martin ; Stohl, Andreas

  • Author_Institution
    Sch. of Comput. & Commun. Sci., Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne, Switzerland
  • fYear
    2013
  • Firstpage
    4330
  • Lastpage
    4334
  • Abstract
    Knowing what amount of radioactive material was released from Fukushima in March 2011 is crucial to understand the scope of the consequences. Moreover, it could be used in forward simulations to obtain accurate maps of deposition. But these data are often not publicly available, or are of questionable quality. We propose to estimate the emission waveforms by solving an inverse problem. Previous approaches rely on a detailed expert guess of how the releases appeared, and they produce a solution strongly biased by this guess. If we plant a nonexistent peak in the guess, the solution also exhibits a nonexistent peak. We propose a method based on sparse regularization that solves the Fukushima inverse problem blindly. Together with the atmospheric dispersion models and worldwide radioactivity measurements our method correctly reconstructs the times of major events during the accident, and gives plausible estimates of the released quantities of Xenon.
  • Keywords
    inverse problems; nuclear power stations; radioactive waste; Fukushima inverse problem; atmospheric dispersion models; emission waveform estimation; inverse problem; nuclear power plant; radioactive material; sparse regularization; worldwide radioactivity measurements; Accidents; Atmospheric measurements; Atmospheric modeling; Dispersion; Inverse problems; Radioactive materials; Xenon; Daiichi; FLEXPART; Fukushima; dispersion; explosion; inverse problems; nuclear power plant;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6638477
  • Filename
    6638477