The model matched observed bacterial breakthrough curves well.
The traditional workflow is to calibrate prior models to match observed data, and then use the posterior models to simulate future system performance.
This paper examines a Bayesian Framework for uncertainty quantification in porous media flows that uses a stochastic sampling algorithm to generate models that match observed data.
By calibrating the model to match observed water-level data, the model is used to estimate the transmissivity, storativity, and the entry resistance of surface waters, which are crucial for the design of RBF systems.
Even with unrealistic increases in HAPs aviation emissions the model could not match observed concentrations near the runway airport site.
But before getting to this optimization approach one needs a model that can reasonably match observed behaviour.
Integrating testing volume into the models placed a constraint on the model calibrations in order to match observed case counts.
Well match observed between model results and experimental data indicates that RW is an accurate method for simulating miscible displacements by capturing the irregularity of the saturation profiles.
Nevertheless, the model is able to effectively match observed pressure-diuresis and pressure-natriuresis relationships.
We forced a General Circulation Model with time varying meltwater pulses (100 300 yr) that match observed sea level change, designed to represent the Hudson Bay ice saddle collapse.
