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    Predicting Permeation of Organic Contaminants into Polyethylenes

    Source: Journal of Environmental Engineering:;2013:;Volume ( 139 ):;issue: 002
    Author:
    Jia Tang
    ,
    Daniel L. Gallagher
    ,
    Andrea M. Dietrich
    DOI: 10.1061/(ASCE)EE.1943-7870.0000644
    Publisher: American Society of Civil Engineers
    Abstract: A model was developed and validated for predicting solubility and diffusion coefficients for contaminants permeating polyethylene (PE) materials used for water pipes and geomembranes. Model development was based on diffusivity and solubility of 13 contaminants and six PE materials that were new and/or aged in chlorinated water. Physical and chemical properties of the contaminants and PEs were included as variables in the model. Tree regression was used to select variables, and multiple linear regression was used to develop predictive equations for contaminant diffusivity and solubility in PE. Organic contaminant properties, especially dipole moment and octanol-water partition coefficient, had greater predictive capability than PE properties. Coefficients of determination
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      Predicting Permeation of Organic Contaminants into Polyethylenes

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    http://yetl.yabesh.ir/yetl1/handle/yetl/60090
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    contributor authorJia Tang
    contributor authorDaniel L. Gallagher
    contributor authorAndrea M. Dietrich
    date accessioned2017-05-08T21:42:24Z
    date available2017-05-08T21:42:24Z
    date copyrightFebruary 2013
    date issued2013
    identifier other%28asce%29ee%2E1943-7870%2E0000652.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/60090
    description abstractA model was developed and validated for predicting solubility and diffusion coefficients for contaminants permeating polyethylene (PE) materials used for water pipes and geomembranes. Model development was based on diffusivity and solubility of 13 contaminants and six PE materials that were new and/or aged in chlorinated water. Physical and chemical properties of the contaminants and PEs were included as variables in the model. Tree regression was used to select variables, and multiple linear regression was used to develop predictive equations for contaminant diffusivity and solubility in PE. Organic contaminant properties, especially dipole moment and octanol-water partition coefficient, had greater predictive capability than PE properties. Coefficients of determination
    publisherAmerican Society of Civil Engineers
    titlePredicting Permeation of Organic Contaminants into Polyethylenes
    typeJournal Paper
    journal volume139
    journal issue2
    journal titleJournal of Environmental Engineering
    identifier doi10.1061/(ASCE)EE.1943-7870.0000644
    treeJournal of Environmental Engineering:;2013:;Volume ( 139 ):;issue: 002
    contenttypeFulltext
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