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Published online 24 January 2007
Published in Vadose Zone J 6:140-148 (2007)
DOI: 10.2136/vzj2006.0103
© 2007 Soil Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
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One-Dimensional Modeling of Transport in Soils with Depth-Dependent Dispersion, Sorption and Decay

Jan Vanderborght* and Harry Vereecken

Agrosphere, ICG-IV Forschungszentrum Jülich GmbH, D 52425 Jülich, Germany

Figure 1
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Fig. 1. Effect of transport distance and scale of the experiment on the dispersivity ({lambda}). The boxes span the 25 and 75% percentiles, the thick black line is the median, and the 0 and 90% percentiles correspond with the extremities of the vertical bars. The numbers above the boxes correspond with the number of observations in the class. The open diamond and the dashed line represent the dispersivities, {lambda}hom(z), that were used to parameterize the different one-dimensional models (adapted from Vanderborght and Vereecken, 2007).

 

Figure 2
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Fig. 2. Predictions of breakthrough curves in a layered soil profile of a substance with a low leaching potential (left) and a substance with a high leaching potential (right) at three different depths (z) by three different models: stream tube model (STM, solid black line), hydrodynamically homogeneous convection–dispersion (CDE) model (solid blue line), and layered CDE model (dashed green line), that predict the same breakthrough of an inert tracer at 100-cm depth.

 

Figure 3
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Fig. 3. Leached mass fractions of substances with different sorption and decay rate parameters at 1-m depth in a layered soil profile predicted by a hydrodynamically homogeneous convection–dispersion model (blue crosses) and by a layered convection–dispersion (CDE) model with different dispersivities for different soil layers (green diamonds) vs. predicted leached mass fractions by a stream tube model (STM, solid circles). Dashed lines represent the maximal leached mass fraction for a yearly averaged concentration <0.1 µg L–1, an application dose of 1 kg ha–1, and a deep percolation of 0.3 m yr–1.

 





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