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United States Department of Agriculture

Agricultural Research Service

Research Project: SALINITY AND TRACE ELEMENTS ASSOCIATED WITH WATER REUSE IN IRRIGATED SYSTEMS: PROCESSES, SAMPLING PROTOCOLS, AND SITE-SPECIFIC MANAGEMENT Title: Predicting Boron, Molybdenum, Selenium, and Arsenic Adsorption in Soil Systems

Author
item Goldberg, Sabine

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: March 27, 2007
Publication Date: March 28, 2007
Citation: Goldberg, S.R. 2007. Predicting Boron, Molybdenum, Selenium, and Arsenic Adsorption in Soil Systems. 2007 Salinity/Drainage Conference March 28, 2007.

Technical Abstract: A chemical surface complexation model was applied to boron, molybdenum, selenium, and arsenic adsorption on up to 49 soils selected for variation in soil properties. The surface complexation model was able to fit boron, molybdenum, selenite, and arsenate adsorption on the soils. General regression models were developed for predicting soil B, Mo, Se(IV), and As(V) surface complexation constants from easily measured soil chemical characteristics. These chemical properties were cation exchange capacity, inorganic carbon content, organic carbon content, aluminum oxide content, iron oxide content, and surface area. The prediction equations were used to obtain values for the B, Mo, Se(IV), and As(V) surface complexation constants for additional soils, thereby providing a completely independent evaluation of the ability of the model to describe adsorption. Incorporation of these prediction equations into chemical speciation-transport models will allow simulation of soil solution B, Mo, Se(IV), and As(V) concentrations under diverse agricultural and environmental conditions without the requirement of soil specific adsorption data and subsequent parameter optimization.

Last Modified: 10/21/2014
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