An approach to model radionuclide concentration in lake environment under scarce data: Fid-Bau Portal

An approach to model radionuclide concentration in lake environment under scarce data

Bid, S. D. / Christian, R. A. / Patel, P. L. / Patra, A. K.

In present study, a fuzzy logic (FL)-based algorithm is developed to predict near field concentration of tritium (Bq/L) at different points in a lake system wherein nuclear effluents are disposed as point source from a nuclear power plant. The model is developed using five input variables, which affect the spatial distribution of tritium concentration within the chosen system. The proposed model is developed under scarce radionuclide data wherein the missing data were generated using random number concept. The simulated results from proposed fuzzy model are validated using independent data on tritium concentration, measured at different locations within the lake system. The model outputs (tritium concentration in Bq/L) have been found to be in agreement with their measured values at sampling locations within the error band of . The simulated results from proposed fuzzy model have been found to be in close agreement with those obtained from CFD (Computational fluid dynamics) model for identical flow conditions developed in the previous studies for the same system. The proposed model is simpler in predicting tritium concentration within the lake while knowing the blow down concentration of specific day with less computational efforts. The developed model could be useful in ascertaining the near-field tritium concentrations, in near future for assessing their impacts on biotic environment.