Nonlocal and localized analyses of conditional mean transient flow in bounded, randomly heterogeneous porous media

By Ming Ye, Shlomo P. Neuman, Alberto Guadagnini, Daniel M. Tartakovsky. 2004

84 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Environmental Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/ef82bbf4372aaf3d1e0875bd742d208a837a7426

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

In Environmental Engineering

In Statistics and Probability

Citations in the corpus

Perspective on theories of non-Fickian transport in heterogeneous media (2009, methodology): “Methods to compute them include forward and inverse conditional Monte Carlo simulation or the solution of corresponding recursive conditional moment equations [82,83,34,38,90].”
Aquifer operator scaling and the effect on solute mixing and dispersion (2006, background): “…(some more likely than others), and either analyzes the ensemble statistics of the head and concentration fields or solves the moment equations themselves [Graham and McLaughlin, 1989; Li and McLaughlin, 1991; Li et al., 2003, 2004; Guadagnini and Neuman, 1999a, 1999b, 2001; Ye et al., 2004].”
Estimating the uncertain mathematical structure of a water balance model via Bayesian data assimilation (2009, background): “…of specifying (somehow, by assumption and/or inference) one or more suitable conceptual models for the hydrologic system of interest [see, e.g., Ye et al., 2004; Young, 2001]; this requires clear definition of the spatial boundaries of the system, selection of which input and output fluxes…”
Correcting the mathematical structure of a hydrological model via Bayesian data assimilation (2011, methodology): “…by Bulygina and Gupta [2009], we treat the specification of a system model as having two sequential stages: a system conceptual structure identification stage [e.g., Clark et al., 2008; Ye et al., 2004; Young, 2001] followed by a system mathematical (equation) structure identification stage.”