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Stochastic analysis of solute transport in partially saturated heterogeneous soil: 2. Prediction of solute spreading and breakthrough
Year:
1994
Source of publication :
Water Resources Research
Authors :
Laufer, Asher
;
.
Russo, David
;
.
Volume :
30
Co-Authors:
Russo, D.
Zaidel, J.
Laufer, A.
Facilitators :
From page:
781
To page:
790
(
Total pages:
10
)
Abstract:
The applicability of results of Lagrangian‐stochastic analyses of vadosezone transport [Russo, 1993a, b] to realistic situations is investigated using results of detailed numerical simulations of transport in a hypothetical, yet realistic heterogeneous, partially saturated soil, obtained in the first companion paper (Russo et al., this issue) for both quasi steady state and transient, nonmonotonic flows. For both flow regimes, lower mean water saturation and longer travel time are shown to increase solute spreading, while lower water saturation and smaller travel distance are shown to increase the skewing of mean solute breakthrough curves. Solute plumes associated with the latter flow regimes, however, exhibit less spreading in the longitudinal direction and more spreading in the transverse direction, while the respective breakthrough curves are less skewed and less erratic, as compared with solute spreading and breakthrough associated with the former flow regimes. Components of the time‐dependent displacement covariance tensor, X and expected solute flux through a given horizontal control plane 〈s〉, based on the Lagrangian‐stochastic analyses, compared favorably with estimates of X and 〈s〉 obtained from the simulated transport under quasi steady state, essentially unidirectional flows, but failed to predict estimates of X and 〈s〉 obtained from the simulated transport under transient, nonmonotonic, multidirectional flows. The latter can be predicted by a particle‐tracking method [Rubin, 1990] that allows for deviation of the solute particles from their mean path, provided that the pertinent flow regime is quantifiable in terms of an appropriate velocity covariance function. Copyright 1994 by the American Geophysical Union.
Note:
Related Files :
breakthrough curve
heterogeneity
solute spreading
Solute transport
stachastic analysis
Unsaturated zone
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Related Content
More details
DOI :
10.1029/93WR02882
Article number:
Affiliations:
Database:
Scopus
Publication Type:
article
;
.
Language:
English
Editors' remarks:
ID:
26503
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:23
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Scientific Publication
Stochastic analysis of solute transport in partially saturated heterogeneous soil: 2. Prediction of solute spreading and breakthrough
30
Russo, D.
Zaidel, J.
Laufer, A.
Stochastic analysis of solute transport in partially saturated heterogeneous soil: 2. Prediction of solute spreading and breakthrough
The applicability of results of Lagrangian‐stochastic analyses of vadosezone transport [Russo, 1993a, b] to realistic situations is investigated using results of detailed numerical simulations of transport in a hypothetical, yet realistic heterogeneous, partially saturated soil, obtained in the first companion paper (Russo et al., this issue) for both quasi steady state and transient, nonmonotonic flows. For both flow regimes, lower mean water saturation and longer travel time are shown to increase solute spreading, while lower water saturation and smaller travel distance are shown to increase the skewing of mean solute breakthrough curves. Solute plumes associated with the latter flow regimes, however, exhibit less spreading in the longitudinal direction and more spreading in the transverse direction, while the respective breakthrough curves are less skewed and less erratic, as compared with solute spreading and breakthrough associated with the former flow regimes. Components of the time‐dependent displacement covariance tensor, X and expected solute flux through a given horizontal control plane 〈s〉, based on the Lagrangian‐stochastic analyses, compared favorably with estimates of X and 〈s〉 obtained from the simulated transport under quasi steady state, essentially unidirectional flows, but failed to predict estimates of X and 〈s〉 obtained from the simulated transport under transient, nonmonotonic, multidirectional flows. The latter can be predicted by a particle‐tracking method [Rubin, 1990] that allows for deviation of the solute particles from their mean path, provided that the pertinent flow regime is quantifiable in terms of an appropriate velocity covariance function. Copyright 1994 by the American Geophysical Union.
Scientific Publication
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