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预测主要毒性阴离子元素在活性氧化铝上的竞争吸附行为:基于形态的方法。

Predicting competitive adsorption behavior of major toxic anionic elements onto activated alumina: a speciation-based approach.

机构信息

Department of Civil, Architectural and Environmental Engineering, Missouri University of Science and Technology, 1870 Miner Circle, Rolla, MO 65401, USA.

出版信息

J Hazard Mater. 2010 Apr 15;176(1-3):466-72. doi: 10.1016/j.jhazmat.2009.11.052. Epub 2009 Nov 13.

DOI:10.1016/j.jhazmat.2009.11.052
PMID:20004513
Abstract

Toxic anionic elements such as arsenic, selenium, and vanadium often co-exist in groundwater. These elements may impact each other when adsorption methods are used to remove them. In this study, we investigated the competitive adsorption behavior of As(V), Se(IV), and V(V) onto activated alumina under different pH and surface loading conditions. Results indicated that these anionic elements interfered with each other during adsorption. A speciation-based model was developed to quantify the competitive adsorption behavior of these elements. This model could predict the adsorption data well over the pH range of 1.5-12 for various surface loading conditions, using the same set of adsorption constants obtained from single-sorbate systems. This model has great implications in accurately predicting the field capacity of activated alumina under various local water quality conditions when multiple competitive anionic elements are present.

摘要

有毒阴离子元素,如砷、硒和钒,经常共存于地下水中。在使用吸附方法去除这些元素时,它们可能会相互影响。在本研究中,我们研究了在不同 pH 值和表面负载条件下,砷酸根、亚硒酸根和五价钒在活性氧化铝上的竞争吸附行为。结果表明,这些阴离子元素在吸附过程中相互干扰。建立了一种基于形态的模型来量化这些元素的竞争吸附行为。该模型可以在各种表面负载条件下,在 pH 值为 1.5-12 的范围内,使用从单溶质体系获得的相同一组吸附常数,很好地预测吸附数据。当存在多种竞争阴离子元素时,该模型对于准确预测活性氧化铝在各种当地水质条件下的田间容量具有重要意义。

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