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Predicting Boron Adsorption by Soils Using Soil Chemical Parameters in the Constant Capacitance Model

USDA-ARS, George E. Brown, Jr., Salinity Laboratory, 450 W. Big Springs Road, Riverside, CA 92507 USA

View larger version (20K): [in a new window]   Fig. 1 Fit of the constant capacitance model to B adsorption: (a) Diablo clay; (b) Fallbrook loamy sand. Circles represent experimental data. Model fits are represented by solid lines. Fallbrook subsoil experimental data represented in Goldberg (1993)

View larger version (23K): [in a new window]   Fig. 2 Prediction of B adsorption with the constant capacitance model on soils used to obtain the prediction equations: (a) Haines silt loam; (b) Diablo clay loam; (c) Hanford loam; (d) Yolo loam. Circles represent experimental data. Model predictions are represented by solid lines

View larger version (38K): [in a new window]   Fig. 3 Prediction of B adsorption with the constant capacitance model on soils not used to obtain the prediction equations: (a) Bonsall loam; (b) Hesperia sandy loam; (c) Ramona sandy loam; (d) Sebree silt loam; (e) Pachappa sandy loam; (f) Pachappa loam; (g) Wasco sandy loam; (h) Altamont loam; (i) Wyo silt loam; (j) Porterville silty clay loam; (k) Reagan clay loam; (l) Nohili silt loam; (m) Fiander clay loam; (n) Altamont clay loam; (o) Ryepatch silty clay loam. Circles represent experimental data. Model predictions are represented by solid lines. Altamont soil experimental data represented in Goldberg and Glaubig (1986b); Bonsall soil experimental data represented in Goldberg (1986)