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Published online 3 August 2006
Published in Soil Sci Soc Am J 70:1569-1578 (2006)
DOI: 10.2136/sssaj2005.0117
© 2006 Soil Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
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Soil Water Characteristic Estimates by Texture and Organic Matter for Hydrologic Solutions

K. E. Saxtona and W. J. Rawlsb,*

a Saxton Engineering and Associates, 1250 SW Campus View, Pullman WA 99163
b USDA-ARS Hydrology and Remote Sensing Lab, Bldg. 007, Rm. 104, BARC-W, Beltsville, MD 20705


Figure 1
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  		Fig. 1. Measured {theta}1500, {theta}33, {theta}(S-33), and {psi}e versus predicted values by correlation Eq. [1]–[4].

 

Figure 2
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  		Fig. 2. Example moisture-tension relationships estimated by Eq. [11]–[15].

 

Figure 3
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  		Fig. 3. Example unsaturated conductivities estimated by Eq. [16]–[18].

 

Figure 4
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  		Fig. 4. Measured texture class averages of {theta}1500, {theta}33, and {theta}S for B-C horizon data versus estimates by Eq. [1]–[6].

 

Figure 5
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  		Fig. 5. Texture class average {theta}1500, {theta}33, {theta}S, and KS (Rawls et al., 1998) versus estimates by Table 1 equations.

 

Figure 6
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  		Fig. 6. Texture class average {theta}1500, {theta}33, {theta}S, and KS estimates (Saxton et al., 1986) versus estimates by Table 1 equations.

 

Figure 7
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  		Fig. 7. Variation of moisture-tension and moisture-conductivity by organic matter estimated by Table 1 equations.

 

Figure 8
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  		Fig. 8. Effect of density variation on saturated and unsaturated conductivity of a silt loam soil estimated by Table 1 equations.

 

Figure 9
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  		Fig. 9. Example gravel estimates for gravel volume, bulk density and saturated conductivity versus gravel percent by weight (>2-mm diam.).

 

Figure 10
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  		Fig. 10. Matric-plus-osmotic tension versus moisture for varying levels of salinity estimated by Table 1 equations.

 

Figure 11
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  		Fig. 11. Graphical input screen for the soil water characteristic model of Table 1 equations.

 




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