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Improvements to Estimating Unsaturated Soil Properties from Horizontal Infiltration

John S. Tyner* and G. O. Brown

The University of Tennessee, 2506 E.J. Chapman Drive, Knoxville, TN 37996-4531



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Fig. 1. A graph showing the resultant normalization of {lambda}({theta}) to {Lambda}({theta}). The triangles and circles represent data collected at 0.10 and 0.11 m, respectively. Overlapping of data collected at multiple distances from the column inlet provides evidence that initial and boundary conditions were properly maintained.

 


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Fig. 2. The optimization of n is conducted by selecting the value (n = 1.87), which results in the best fit of predicted {Lambda}({theta}) (lines) to measured {Lambda}({theta}) (circles and triangles). This figure represents Iteration 1a shown in Table 1.

 


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Fig. 3. The optimization of Ks/{alpha} is conducted by selecting the value (Ks/{alpha} = 2.30 x 10–5 m2 s–1), which results in the best fit of predicted {lambda}({theta}) (lines) to measured {lambda}({theta}) (circles and triangles). This figure represents Iteration 1a shown in Table 1.

 


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Fig. 4. A comparison of {lambda}({theta}) distributions from direct measurements (circles and triangles) and from the final iteration of the method (solid line).

 


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Fig. 5. A contour map of predicted Sorptivity (m s–1/2) as a function of {theta}o and {theta}n from parameters optimized using this method.

 





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