Predicting boron adsorption by soils using soil chemical parameters in theconstant capacitance model

The constant capacitance model, a chemical surface complexation model, was applied to B adsorption on 17 soils selected for variation in soil properti es. 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 pred iction equations were used to obtain values for B surface complexation cons tants for 15 additional soils, thereby providing a completely independent e valuation of the ability of the constant capacitance model to fit B adsorpt ion. The model was well able to predict B adsorption on the 15 soils. Incor poration of these prediction equations into chemical speciation-transport m odels 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.