Solute movement through homogeneous and heterogeneous soil columns

Zhang, Renduo; Huang, Kai; Xiang, Jiannan

doi:10.1016/0309-1708(94)90034-5

Cited by 40 publications

(16 citation statements)

References 12 publications

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“…That is partially because that the effective dispersivity obtained from CLT increases linearly with the travel distance (Zhang et al, 1994;Bromly and Hinz, 2004). This is in contrast with the constant dispersivity used in CDE.…”

Section: Cltcontrasting

confidence: 43%

“…Whereas CDE assumes complete lateral mixing of solutes during transport, the CLT neglects the lateral mixing (Bromly and Hinz, 2004). The CLT has been successfully applied to both laboratory columns (e.g., Zhang et al, 1994;Vanderborght et al, 1996Vanderborght et al, , 1997Bromly and Hinz, 2004) and field tracer tests (e.g., Jury and Roth, 1990).…”

Section: Introductionmentioning

confidence: 99%

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Comparison of alternative models for simulating anomalous solute transport in a large heterogeneous soil column

Gao

Zhan

Feng

et al. 2009

Journal of Hydrology

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This manuscript was handled by P. Baveye, Editor-in-Chief This study compared five different models for evaluating solute transport in a 1250-cm long, saturated and highly heterogeneous soil column. The five models were: the convection-dispersion equation (CDE), the mobile-immobile model (MIM), the convective lognormal transfer function model (CLT), the spatial fractional advection-dispersion equation (FADE) and the continuous time random walk model (CTRW). Each of these models was used to fit the breakthrough curve (BTC) at each distance individually and was also used to fit the BTCs at different distances simultaneously. Dependence of estimated parameters on distance was investigated. The estimated parameters at 200 cm were used to make predictions at subsequent distances. Highly anomalous transport behavior was observed in the column as the BTCs demonstrated significantly irregular shape and long tailing. This study indicated that CDE, CLT and FADE were unable to describe the anomalous BTCs adequately and their parameters changed with transport distance significantly. Compared to CDE, CLT and FADE, MIM better captured the evolution of anomalous BTCs. However, MIM did not explain the distinct BTC tailing satisfactorily. In contrast to MIM, CTRW better simulated the long tails of BTCs. The spreading parameter (b) of CTRW was close to one and remained approximately constant at different travel distances. To make the comparison of these five models more general beyond the specific transport condition in the soil column, a generic evaluation of the advantages and disadvantages of these five models was presented in terms of their theory framework and a priori knowledge of the model behaviors.

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Section: Cltcontrasting

confidence: 43%

Section: Introductionmentioning

confidence: 99%

Comparison of alternative models for simulating anomalous solute transport in a large heterogeneous soil column

Gao

Zhan

Feng

et al. 2009

Journal of Hydrology

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“…The ADE fails to capture some important features of solute transport in soils [3][4][5][6][7][8]. On the one hand, the dispersion coefficient tends to increase with the distance of solute concentration observations.…”

Section: Introductionmentioning

confidence: 93%

Modelling solute transport in soil columns using advective–dispersive equations with fractional spatial derivatives

Martínez¹,

Pachepsky²,

Rawls³

2010

Advances in Engineering Software

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Solute transport in soils is commonly simulated with the advective-dispersive equation, or ADE. It has been reported that this model cannot take into account several important features of solute movement through soil. Recently, a new model has been suggested that results in a solute transport equation with fractional spatial derivatives, or FADE. We have assembled a database on published solute transport experiments in soil columns to test the new model. The FADE appears to be a useful generalization of

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“…But increasing evidence over the past two decades shows that contaminants moving through porous media usually exhibit anomalous or non-Fickian processes, including heavy leading and/or trailing edges and scale-dependent dispersion coefficients [48,13,34,35]. Heterogeneities are regarded as the primary causes of non-Fickian migration of solute in porous media [5].…”

Section: Introductionmentioning

confidence: 99%