Design of a simulink model for uncertainty quantification of concentration of contaminant transport through ground water

Uncertainty analysis of any model is one of the main themes of recent trends of computation, modeling, and optimization. Uncertainty analysis is classified as two categories, aleatory and epistemic. Aleatory uncertainty is due to random variability of the model parameters which is irreducible in nature, whereas epistemic uncertainty is due to insufficiency or vagueness of the model parameters and this is reducible. Probabilistic uncertainty is quantified using Monte Carlo method; the paper describes probabilistic approach of uncertainty analysis using SIMULINK, software toolbox of MATLAB. The paper presents the uncertainty analysis with the probabilistic parameters of the model. SIMULINK is explored for designing the various blocksets representing the probabilistic uncertainty of the model parameters. The computation scheme is illustrated with the help of the contaminant transport through groundwater.