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Title: Statistical evaluation of arsenic adsorption data using linear-plateau regression analysis

Journal Article · · Soil Science Society of America Journal; (United States)
; ;  [1]
  1. Univ. of Idaho, Moscow, ID (United States)

Few studies have utilized a statistical approach for comparisons of adsorption data. Our objective was to evaluate the suitability of linear-plateau regression analysis to identify the As adsorption plateau and facilitate statistical comparison of As-adsorption rates and maxima. Three northern Idaho soils exhibiting a range in As-adsorption capacity were tested. Batch techniques with ion chromatographic determination of arsenite and arsenate were used. The linear-plateau regression model provided a good fit for the adsorption-rate data. The time required to attain an adsorption plateau ranged from 2 to 8 h, depending on soil characteristics and As species. The model allowed statistical identification of the As-adsorption plateau and subsequent comparison of As-adsorption rates and maxima through use of analysis of covariance and least significant difference procedures. 16 refs., 3 figs., 2 tabs.

OSTI ID:
5571104
Journal Information:
Soil Science Society of America Journal; (United States), Vol. 56:4; ISSN 0361-5995
Country of Publication:
United States
Language:
English