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DIVISION S-2-SOIL CHEMISTRY

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

sgoldberg{at}ussl.ars.usda.gov

The constant capacitance model, a chemical surface complexation model, was applied to B adsorption on 17 soils selected for variation in soil properties. A general regression model was developed for predicting soil B surface complexation constants from easily measured soil chemical characteristics. These chemical properties were cation-exchange capacity (CEC), surface area, organic carbon content (OC), and inorganic carbon content (IOC). The prediction equations were used to obtain values for B surface complexation constants for 15 additional soils, thereby providing a completely independent evaluation of the ability of the constant capacitance model to fit B adsorption. The model was well able to predict B adsorption on the 15 soils. Incorporation of these prediction equations into chemical speciation–transport models will allow simulation of soil solution B concentrations under diverse environmental and agricultural conditions without the requirement of soil specific adsorption data and subsequent parameter optimization.

Abbreviations: CEC, cation-exchange capacity • IOC, inorganic carbon content • OC, organic carbon content • SA, surface area • %Al, mass percent aluminum oxide • %Fe, mass percent iron oxide content

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