In the context of accidental or chronic releases from nuclear
installations to the environment, it is important to predict the future
of radionuclides, particularly at the plant scale, the first link in the
human food chain. IRSN and EDF are developing a simulation platform for
the transfer of radionuclides in the environment called SYMBIOSE, in
order to estimate the dose received by humans. Tritium is an example of a
radionuclide released by humans into the environment, whose behavior is
particularly critical to predict because of its high mobility and
biological affinity depending on the chemical form considered. The
TOCATTA-khi model, implemented in the SYMBIOSE platform, focuses on
tritium transfers within a grassland ecosystem. The main objective of
this study is to improve and evaluate the existing TOCATTA-khi model by
studying the persistent uncertainties of tritium transfers within a
prairial environment from in situ and laboratory experiments.