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    Predicting Arsenate Adsorption on Iron-Coated Sand Based on a Surface Complexation Model

    Source: Journal of Environmental Engineering:;2013:;Volume ( 139 ):;issue: 003
    Author:
    Sisi Que
    ,
    Charalambos Papelis
    ,
    Adrian T. Hanson
    DOI: 10.1061/(ASCE)EE.1943-7870.0000641
    Publisher: American Society of Civil Engineers
    Abstract: Equations were developed to predict arsenate sorption on iron oxide coated sand, on the basis of the constant capacitance surface complexation model, assuming formation of bidentate surface complexes between arsenate and iron oxyhydroxide surface sites. The developed equations can predict arsenate adsorption when initial arsenate concentration, adsorbent concentration, and solution pH are known. The average discrepancy between experimental data and modeling results was less than 5%. The maximum arsenate sorption capacity is the only parameter required that needs to be estimated from experimental data. The developed equations were validated by modeling arsenate adsorption on iron oxide sand over the pH range 5–8, under various initial arsenate concentrations and iron oxide coated sand solid concentrations. The developed predictive equation can also be used for calculating arsenate adsorption performance on iron impregnated activated carbon. Finally, the developed equation can be used to calculate sorption media dose requirements by specifying initial arsenate concentration, arsenate removal goal, and solution pH.
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      Predicting Arsenate Adsorption on Iron-Coated Sand Based on a Surface Complexation Model

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    http://yetl.yabesh.ir/yetl1/handle/yetl/60087
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    • Journal of Environmental Engineering

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    contributor authorSisi Que
    contributor authorCharalambos Papelis
    contributor authorAdrian T. Hanson
    date accessioned2017-05-08T21:42:24Z
    date available2017-05-08T21:42:24Z
    date copyrightMarch 2013
    date issued2013
    identifier other%28asce%29ee%2E1943-7870%2E0000649.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/60087
    description abstractEquations were developed to predict arsenate sorption on iron oxide coated sand, on the basis of the constant capacitance surface complexation model, assuming formation of bidentate surface complexes between arsenate and iron oxyhydroxide surface sites. The developed equations can predict arsenate adsorption when initial arsenate concentration, adsorbent concentration, and solution pH are known. The average discrepancy between experimental data and modeling results was less than 5%. The maximum arsenate sorption capacity is the only parameter required that needs to be estimated from experimental data. The developed equations were validated by modeling arsenate adsorption on iron oxide sand over the pH range 5–8, under various initial arsenate concentrations and iron oxide coated sand solid concentrations. The developed predictive equation can also be used for calculating arsenate adsorption performance on iron impregnated activated carbon. Finally, the developed equation can be used to calculate sorption media dose requirements by specifying initial arsenate concentration, arsenate removal goal, and solution pH.
    publisherAmerican Society of Civil Engineers
    titlePredicting Arsenate Adsorption on Iron-Coated Sand Based on a Surface Complexation Model
    typeJournal Paper
    journal volume139
    journal issue3
    journal titleJournal of Environmental Engineering
    identifier doi10.1061/(ASCE)EE.1943-7870.0000641
    treeJournal of Environmental Engineering:;2013:;Volume ( 139 ):;issue: 003
    contenttypeFulltext
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