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

Autor:	S. L. McGeehan, Bahman Shafii, D. V. Naylor
Rok vydání:	1992
Předmět:	Analysis of covariance geography Plateau geography.geographical_feature_category Arsenate Soil Science chemistry.chemical_element Soil science Regression analysis chemistry.chemical_compound Adsorption chemistry Environmental chemistry Soil water Maxima Arsenic
Zdroj:	Soil Science Society of America Journal. 56:1130-1133
ISSN:	0361-5995
DOI:	10.2136/sssaj1992.03615995005600040020x
Popis:	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.
Databáze:	OpenAIRE
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