A more influential factor has thus potentially a larger effect on the output uncertainty. An SA approach can be defined as “global” if all factors are varied simultaneously, rather than one at a time. The Global SA (GSA) method used here is based on multivariate sampling of the entire feasible factor space to obtain representative sensitivity information