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Published online 4 August 2005
Published in Soil Sci Soc Am J 69:1389-1398 (2005)
DOI: 10.2136/sssaj2004.0393
© 2005 Soil Science Society of America
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Predicting Arsenate Adsorption by Soils using Soil Chemical Parameters in the Constant Capacitance Model

Sabine Goldberg*, S. M. Lesch, D. L. Suarez and N. T. Basta

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



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  		Fig. 1. Fit of the constant capacitance model to As(V) adsorption on Southwestern soils: (a) Altamont soil; (b) Arlington soil; (c) Pachappa soil; and (d) Ramona soil. Experimental data are represented by circles for the surface 0 to 25 cm and by squares for the subsurface 25 to 51 cm. Model fits are represented by solid lines for the surface and dashed lines for the subsurface.

 


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  		Fig. 2. Fit of the constant capacitance model to As(V) adsorption by Midwestern soils: (a) Dennis soil; (b) Osage soil; (c) Pond Creek soil; and (d) Pratt soil. Experimental data are represented by circles for the A horizon and by squares for the B horizon. Model fits are represented by solid lines for the A horizon and dashed lines for the B horizon.

 


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  		Fig. 3. Prediction of As(V) adsorption with the constant capacitance model on soils not used to obtain the prediction equations: (a) Bernow soil; (b) Canisteo soil; (c) Summit soil; and (d) Nohili soil. Experimental data are represented by circles for the surface 0 to 25 cm and A horizons and by squares for the B horizon. Model predictions are represented by solid lines for the surface 0 to 25 cm and A horizons and dashed lines for the B horizon.

 




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