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This article in SSSAJ

  1. Vol. 56 No. 4, p. 1130-1133
     
    Received: July 18, 1991


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doi:10.2136/sssaj1992.03615995005600040020x

Statistical Evaluation of Arsenic Adsorption Data Using Linear-Plateau Regression Analysis

  1. S. L. McGeehan ,
  2. D. V. Naylor and
  3. B. Shafii
  1. Div. of Soil Science
    Statistical Programs, College of Agriculture, Univ. of Idaho, Moscow, ID 83843

Abstract

Abstract

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.

Paper no. 91748 of the Univ. of Idaho Agric. Exp. Stn.

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