This chapter makes a review, in a complete methodological framework, of various global
sensitivity analysis methods of model output. Numerous statistical and probabilistic tools …

Sensitivity analysis (SA) aims to identify the key parameters that affect model performance
and it plays important roles in model parameterization, calibration, optimization, and …

Abstract Global Sensitivity Analysis (GSA) is key to assisting appraisal of the behavior of
hydrological systems through model diagnosis considering multiple sources of uncertainty …

Variance-based approaches are widely used for Global Sensitivity Analysis (GSA) of
environmental models. However, methods that consider the entire Probability Density …

In many fields, such as environmental risk assessment, agronomic system behavior,
aerospace engineering, and nuclear safety, mathematical models turned into computer code …

Simulation models support managers in the solution of complex problems. International
agencies recommend uncertainty and global sensitivity methods as best practice in the …

Tunneling excavation is bound to produce significant disturbances to surrounding
environments, and the tunnel‐induced damage to adjacent underground buried pipelines is …

Purpose Identification of key inputs and their effect on results from Life Cycle Assessment
(LCA) models is fundamental. Because parameter importance varies greatly between cases …

Abstract Global Sensitivity Analysis (GSA) is an essential technique to support the
calibration of environmental models by identifying the influential parameters (screening) and …

The global sensitivity analysis of a numerical model aims to quantify, by means of sensitivity
indices estimates, the contributions of each uncertain input variable to the model output …