The solution of several operations research problems requires the creation of a quantitative
model. Sensitivity analysis is a crucial step in the model building and result communication …

Sensitivity Analysis (SA) investigates how the variation in the output of a numerical model
can be attributed to variations of its input factors. SA is increasingly being used in …

Sensitivity analysis (SA) is en route to becoming an integral part of mathematical modeling.
The tremendous potential benefits of SA are, however, yet to be fully realized, both for …

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

The diversity in hydrologic models has historically led to great controversy on the correct
approach to process-based hydrologic modeling, with debates centered on the adequacy of …

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

Existing methodologies of sensitivity analysis may be insufficient for a proper analysis of
Agent-based Models (ABMs). Most ABMs consist of multiple levels, contain various …

Sensitivity analysis is an essential paradigm in Earth and Environmental Systems modeling.
However, the term “sensitivity” has a clear definition, based in partial derivatives, only when …

Integrated, process‐based numerical models in hydrology are rapidly evolving, spurred by
novel theories in mathematical physics, advances in computational methods, insights from …

Abstract The Soil and Water Assessment Tool (SWAT) is one of the most widely used and
well-tested eco-hydrological models. However, parameter calibration, sensitivity analysis …