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Using Particle-Size Distribution Models to Estimate Soil Hydraulic Properties

Dep. of Civil and Environmental Engineering, Clarkson Univ., 8 Clarkson Ave., Potsdam, NY 13699-5710

View larger version (22K): [in a new window]   Fig. 1. Box plot for Akaike's information criterion (AIC) percentiles as the goodness-of-fit of four PSD models for all 24 soils.

View larger version (20K): [in a new window]   Fig. 2. Comparative fit of (a) the PSD and (b) h() curves using four PSD models for a sand (UNSODA No. 3132).

View larger version (30K): [in a new window]   Fig. 3. An illustration of experimental and predicted h() curves using four PSD models for each textural class, (a) sand (UNSODA 4650), (b) sandy loam (UNSODA 3310), (c) silt loam (UNSODA 1341), and (d) clay soils (UNSODA 1400).

View larger version (31K): [in a new window]   Fig. 4. An illustration of experimental and predicted K() curves using four PSD models for each textural class, (a) sand (UNSODA 4650), (b) sandy loam (UNSODA 4160), (c) loam (UNSODA 2531), and (d) clay soils (UNSODA 1400).

View larger version (44K): [in a new window]   Fig. 5. Comparison of experimental and predicted (a) pressure heads and (b) hydraulic conductivities for four PSD models. The 24 soils are pooled for pressure heads and 12 soils for hydraulic conductivities.

View larger version (33K): [in a new window]   Fig. 6. Examples of the PSD and the VSD of two soils as affected by the PSD models: (a1) the PSD and (a2) the VSD of a sand soil (UNSODA No. 4650), and (b1) the PSD and (b2) the VSD of a silt loam soil (UNSODA No. 1341).

View larger version (20K): [in a new window]   Fig. 7. An example of ri vs. Qi plot for a sand soil (UNSODA No. 4650).

View larger version (72K): [in a new window]   Fig. 8. Variation of AIC and root mean squared errors (RMSEs) associated with estimates of (a) h() curve and (b) K() curve for each textural class.