[1] Prediction of flow through variably saturated porous media requires accurate knowledge of the soil hydraulic properties, namely the water retention function (WRF) and the hydraulic conductivity function (HCF). Unfortunately, direct measurement of the HCF is time consuming and expensive. In this study, we derive a simple closed-form equation that predicts the saturated hydraulic conductivity...

Abstract A three‐dimensional variably saturated flow model was developed for assessing future global water resources and parameterized groundwater pumping. We applied this to an actual watershed verify its validity as Earth System Model. For applicability, the parameterization method multi‐layered pumping verified through comparison with observations MODFLOW results. The proposed in study is ap...

A dual-permeability flow model of the T-tunnel nuclear testing complex and surrounding area was developed to facilitate predictions of radionuclide migration from the tunnel tests through a thick sequence of variably-saturated, faulted, low-permeability volcanic tuff units to an underlying regional flow system. The hydrogeologic complexity necessitated a multi-stage calibration effort to captur...

A linear estimator, cokriging, was applied to estimate hydraulic conductivity, using pressure head, solute concentration, and solute arrival time measurements in a hypothetical, heterogeneous vadose zone under steady state infiltrations at different degrees of saturation. Covariances and cross-covariances required by the estimator were determined by a first-order approximation in which sensitiv...

In this study we develop a first-order, nonstationary stochastic model for steady state, unsaturated flow in randomly heterogeneous media. The model is applicable to the entire domain of a bounded vadose zone, unlike most of the existing stochastic models. Because of its nonstationarity, we solve it by the numerical technique of finite differences, which renders the flexibility in handling diff...