Parameter uncertainty estimation of transient storage model using Bayesian inference with formal likelihood based on breakthrough curve segmentation

The transient storage model (TSM) for the analysis of pollutant mixing in rivers has been hampered by parameter uncertainties due to the equifinality problem. The generalized uncertainty estimation method, which was frequently used to quantify the parameter uncertainty of TSM, has been criticized because this method uses informal likelihood which can cause overestimation of the uncertainty. Thus, in this study, we suggest a Bayesian inference...