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Model for Reconstruction of γ -Background during Liquid Atmospheric Precipitation

Author

Listed:
  • Valentina Yakovleva

    (School of Nuclear Science & Engineering, Nuclear Fuel Cycle Department, Tomsk Polytechnic University, 634050 Tomsk, Russia)

  • Aleksey Zelinskiy

    (School of Nuclear Science & Engineering, Nuclear Fuel Cycle Department, Tomsk Polytechnic University, 634050 Tomsk, Russia)

  • Roman Parovik

    (Institute of Cosmophysical Research and Radio Wave Propagation, Far Eastern Branch of the Russian Academy of Sciences, 684034 Kamchatskiy Kray, Russia)

  • Grigorii Yakovlev

    (Institute of Applied Mathematics and Computer Science, Tomsk State University, 634050 Tomsk, Russia)

  • Aleksey Kobzev

    (Institute of Monitoring of Climatic and Ecological Systems of Siberian Branch of the Russian Academy of Sciences, 634055 Tomsk, Russia)

Abstract

With regard to reconstructing the gamma background dose rate, existing models are either empirical with limited applicability or have many unknown input parameters, which complicates their application in practice. Due to this, there is a need to search for a new approach and build a convenient, easily applicable and universal model. The paper proposes a mathematical model for reconstructing the temporal evolution of the ambient equivalent γ -radiation dose rate during rain episodes, depending on the density of radon flux from the soil surface, as well as the duration and intensity of rain. The efficiency of the model is confirmed by the high coefficient of determination ( R 2 = 0.81–0.99) between the measured and reconstructed ambient equivalent dose rate during periods of rain, the simulation of which was performed using Wolfram Mathematica. An algorithm was developed for restoring the dynamics of the ambient equivalent γ -radiation dose rate during rainfall. Based on the results obtained, assumptions were made where the washout of radionuclides originates. The influence of the radionuclides ratio on the increase in the total γ -radiation dose rate was investigated.

Suggested Citation

  • Valentina Yakovleva & Aleksey Zelinskiy & Roman Parovik & Grigorii Yakovlev & Aleksey Kobzev, 2021. "Model for Reconstruction of γ -Background during Liquid Atmospheric Precipitation," Mathematics, MDPI, vol. 9(14), pages 1-10, July.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:14:p:1636-:d:592226
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