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 Model selection and model averaging have become popular tools to address
conceptual uncertainty in hydro (geo) logical modeling. Within the last two decades, many …

Highly parameterized groundwater models can create calibration difficulties. Regularized
inversion-the combined use of large numbers of parameters with mathematical approaches …

The stochastic geostatistical inversion approach is widely used in subsurface inverse
problems to estimate unknown parameter fields and corresponding uncertainty from noisy …

Numerical groundwater flow and solute transport models are usually subject to model
structural error due to simplification and/or misrepresentation of the real system, which …

Hydraulic tomography (HT) has become a mature aquifer test technology over the last two
decades. It collects nonredundant information of aquifer heterogeneity by sequentially …

Resource managers need to make decisions to plan for future environmental conditions,
particularly sea level rise, in the face of substantial uncertainty. Many interacting processes …

Groundwater modelers face the challenge of how to assign representative parameter values
to the studied aquifer. Several approaches are available to parameterize spatial …

Model adequacy is evaluated with alternative models rated using model selection criteria
(AICc, BIC, and KIC) and three other statistics. Model selection criteria are tested with cross …

This paper describes an innovative procedure that is able to simultaneously identify the
release history and the source location of a pollutant injection in a groundwater aquifer …