Prediction of Boron Adsorption by Field Samples of Diverse Textures.

Soft texture often varies dramatically in both vertical and horizontal directions in field situations and affects the amount of B adsorbed and B movement. This study was. conducted to evaluate the effect of day content on B adsorption and to test the predictive ability of the constant capacitance model to describe B adsorption as related to changes in day content. Boron adsorption on 15 soil samples constituting five depths of each of three sites in the western San Joaquin Valley of California was investigated. Boron adsorption increased with increasing pit, reached an adsorption maximum around pH 9, and decreased with further increases in pit. The model was able to describe B adsorption on the soils by simultaneously optimizing three surface complexation constants. The model was able to predict B adsorption by using surface complexation constants calculated from easily measured chemical parameters. The model was also able to predict B adsorption at all of the depths using the surface complexation constants predicted with the chemical properties of one of the surface depths and a surface area value calculated from day content. These results are very encouraging, suggesting that for a particular soil series, B adsorption for various sites and depths in a field can be predicted using only day content and the chemical information from a different site in the same field. Incorporation of the prediction equations into chemical speciation-transport models will allow simulation of soil solution B concentrations in horizontal and vertical space under diverse environmental and agricultural conditions. [ABSTRACT FROM AUTHOR]