Uncertainty Analysis for Ranking Parameters in Environmental Mathematical Modelling

Each parameter entering a model may have a different impact on the model outcome, depending on its intrinsic uncertainty. Therefore, ranking parameters according with their relevancy to the model outcome is an useful exercise for environmental modellers and model users as well. A sensitivity index is used to rank all parameters entering a model designed specifically to interpret the atom ratios 1-129/1-127 in terms of the retrospective dose commitment due to 1–131 absorbed in human thyroids as a consequence of nuclear tests in the atmosphere.