Transportation evaluation of the radionuclide waste discharged from nuclear power plants is an essential licensing issue, especially for inland sites. Basically, the dynamics of radionuclide transportation are nonlinear and time-varying. Motivated by its time-consuming computation, the work proposed an online estimation method for the radionuclide waste in water surface. After extracting the nonlinearity of factors influencing radionuclide transportation, the method utilizes transfer function and generalized autoregressive conditional heteroskedasticity models to perform deterministic and probabilistic estimations. It turns out that, the resulting predictions show high accuracy and can optimize the online discharge management of radioactive waste for nuclear power plants.
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We would like to thank Kim Dongmin from Chungbuk National University, for providing an explanation for the flow velocity data. We would also like to thank Qin-Li Xu from Shanghai Jiao Tong University who gave us some valuable advice on the manuscript. Finally, Anna Lisa provided an effort to polish the language of the paper.
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