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Published in Soil Sci Soc Am J 60:397-407 (1996)
© 1996 Soil Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
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Solute Transport in Unsaturated Soil: Experimental Design, Parameter Estimation, and Model Discrimination

T.R. Ellsworth*

Dep. of Natural Resources and Environmental Sciences, Univ. of Illinois, 1102 S. Goodwin AVe., Urbana, IL 61801

P.J. Shaouse, J.A. Jobes and J. Fargerlund

USDA-ARS, U.S. Salinity Lab., 450 Big Springs Rd., Riverside, CA 92507

T.H. Skaggs

Dep. of Environmental Engineering, Centre for Water Research, Univ. of Western Australia, Nedlands, WA 6907, Australia

*Corresponding author (ellswort{at}uiuc.edu).

ABSTRACT

The objectives of this study were to: (i) examine the efficacy of two sampling techniques for characterizing solute transport under steady-state water flow, (ii) study the variation in transport model parameters with increasing depth of solute leaching, and (iii) perform model discrimination to examine the transport process operative within a field plot. Bromide, NO -3, and Cl- were applied sequentially to a plot instrumented with two sets of 12 solution samplers located at depths of 0.25 and 0.65 m. At the conclusion of the experiment we destructively sampled the entire 2.0 by 2.0 m plot to a depth of 2.0 m. Mass recovery by the solution samplers ranged from 63 to 83% for the three tracers, and recovery by soil excavation ranged from 96 to 105%. The mean solute velocity estimated with the solution sampler data was significantly less than that determined by soil excavation. Mean solute velocity determined from soil excavation implied an effective transport volume equal to 0.829, (where 0, is volumetric water content) for the three tracers. Solution samplers and soil excavation provided similar measures of vertical dispersion. Both sampling methods revealed a scale-dependent dispersion process in which the dispersivity increased linearly with mean residence time. The depth profiles for all three solutes were accurately described with a stochastic convective lognormal transfer function model (CLT) using the applied mass and two constant parameters (estimated from simultaneous fitting to the depth profiles).

Received for publication January 27, 1995.


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