Sensitivity analysis provides information on the relative importance of model input
parameters and assumptions. It is distinct from uncertainty analysis, which addresses the …

Accurately modelling crashes, and predicting crash occurrence and associated severities
are a prerequisite for devising countermeasures and develo** effective road safety …

Sensitivity analysis is now considered a standard practice in environmental modeling.
Several open-source libraries, such as the Sensitivity Analysis Library (SALib), have been …

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 …

Purpose The use of life cycle assessment (LCA) as a decision support tool can be hampered
by the numerous uncertainties embedded in the calculation. The treatment of uncertainty is …

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

1. Litter decomposition is a biogeochemical process fundamental to element cycling within
ecosystems, influencing plant productivity, species composition and carbon storage. 2 …

This review paper presents a comprehensive analysis of Life Cycle Assessment (LCA)
methodologies applied to construction materials. It begins with an introduction highlighting …

Miscalculating the volumes of water withdrawn for irrigation, the largest consumer of
freshwater in the world, jeopardizes sustainable water management. Hydrological models …

In order to ensure safe and sustainable design of geosynthetic-reinforced soil foundation
(GRSF), settlement prediction is a challenging task for practising civil/geotechnical …