Sentence examples for subsurface flow modeling from inspiring English sources

This chapter reviews the SubWet 2.0 model, a horizontal subsurface flow modeling program initially intended to provide support for the design of constructed wetlands by providing environmental engineers and planners answers to the size of wetlands needed to accommodate anticipated flow rates and desired levels of treatment.

We present a probabilistic approach for integrating multiple data types into subsurface flow models.

The proposed method is successfully applied on several nonlinear parameter estimation problems for subsurface flow models.

Prediction of leachate flow by subsurface flow modelling could provide useful information for the design of such systems.

However, MCMC methods suffer from the computational complexities in the case of expensive models as in the case of subsurface flow models.

Calibration of heterogeneous subsurface flow models usually leads to ill-posed nonlinear inverse problems, where too many unknown parameters are estimated from limited response measurements.

Solutions are numerically computed using an improved hybrid numerical method for surface flow model and a proposed numerical solution method with high-order accuracy for subsurface flow model.

Parameter estimation for subsurface flow models is an essential step for maximizing the value of numerical simulations for future prediction and the development of effective control strategies.

We also discuss the complexification of the numerical code and show that this could be efficiently implemented in the context of subsurface flow models.

The purpose of this paper is to illustrate the use of a multiphase subsurface flow model to study perched water phenomena in vadose zones.

Numerical testing demonstrates the potential of the proposed algorithm in dealing with multi-modal nonlinear parameter estimation for subsurface flow models.