Simulating Scale-Dependent Solute Transport in Soils with the Fractional Advective–Dispersive Equation
By Yakov A. Pachepsky, David A. Benson, Walter J. Rawls. 2000
143 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Computational Mechanics, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/2fdbdf9017e275f00489e3d8d50557e1e37f7630
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
- Mark M. Meerschaert
- David A. Benson
- Boris Baeumer
- Jirka Šimůnek
- M. T. V. Genuchten
- R. Schumer
- George J. Fix III
- Hongbin Zhan
In Computational Mechanics
- Boris Baeumer
- Mark M. Meerschaert
- H. Zhan
- Quanzhong Huang
- George J. Fix III
- R. Schumer
- Hongbin Zhan
- Shaoyuan Feng
In Environmental Engineering
- Mark M. Meerschaert
- David A. Benson
- Boris Baeumer
- Jirka Šimůnek
- R. Schumer
- Shaoyuan Feng
- X. Mao
- Hongbin Zhan
Citations in the corpus
- Information content and complexity of simulated soil water fluxes (2006, methodology): “…commonly used performance measures such as the root-mean square error, the lack-of-fit root mean square error (Whitmore, 1991), Williams–Kloot test (Pachepsky et al., 2000), modeling efficiency (Loague and Green, 1991), use the statistics or probability distribution functions of the set of…”
- A finite element solution for the fractional advection–dispersion equation (2008, methodology): “The MIM based approach seems make a big improvement over ADE, but the disadvantage of this approach is also apparent as reviewed by many researchers [34,35,52,53,11].”
- A variable-order time-fractional derivative model for chloride ions sub-diffusion in concrete structures (2012, background): “However, the chloride transport in saturated concrete is a quite complicated diffusion-binding process and characterizes time and concentration dependency, which is quite difficult to be described only by a constant-order fractional diffusion equation model [5, 24].”
- Multiscaling fractional advection‐dispersion equations and their solutions (2003, methodology): “[3] One-dimensional fractional ADEs have been used to model the heavy leading edges and nonlinear scaling of conservative plumes observed in both laboratory and field solute transport experiments [Benson, 1998; Pachepsky et al., 2000; Benson et al., 2001].”
- Possible problems of scale dependency in applications of the three‐dimensional fractional advection‐dispersion equation to natural porous media (2002, background): “, 1999, 2001], most hydrological applications to date have been one-dimensional [Benson et al., 2000, 2001; Pachepshy et al., 2000].”
- Non‐Fickian transport in homogeneous unsaturated repacked sand (2004, methodology): “…media [de Smedt and Wierenga, 1984; Wierenga and van Genuchten, 1989], however most often this model is unable to capture the early breakthrough and long tailing characteristic of unsaturated transport [de Smedt et al., 1986; Bond and Wierenga, 1990; Padilla et al., 1999; Pachepsky et al., 2000].”
- Comparison of alternative models for simulating anomalous solute transport in a large heterogeneous soil column (2009, methodology): “…the symmetric u-stable probability function (Pachepsky et al., 2000): FuðyÞ ¼ CðuÞ þ signð1 uÞ 2 Z 1 0 exp y u 1 uUuðvÞ dv ð14Þ where v is the integration variable, C(u) and Uu(v) can be expressed as (Pachepsky et al., 2000): CðuÞ ¼ 1 u > 1 1 2 u < 1 ( and UuðvÞ ¼ sin puv=2ð Þ cosðpu=2Þ u 1 u ð15Þ”