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    • Polanyi Potential Theory PFAS Results

    Metadata Updated: April 10, 2023

    This dataset contains the results of a Polanyi Potential Theory approach for estimating Freundlich Isotherm capacity parameters for 428 per- and polyfluoroalkyl substances (PFAS) on granular activated carbon (GAC). This also includes the results of a Hamiltonian Markov Chain Monte Carlo analysis used to generate the parameter estimates. These values are associated with a manuscript, which describes the findings and associated limitations of this data.

    This dataset is associated with the following publication: Burkhardt, J., A. Cadwallader, J. Pressman, M. Magnuson, A. Williams, G. Sinclair, and T. Speth. Polanyi Adsorption Potential Theory for Estimating PFAS Treatment with Granular Activated Carbon. Journal of Water Process Engineering. Elsevier B.V., Amsterdam, NETHERLANDS, 53: 103691, (2023).

    Access & Use Information

    Public: This dataset is intended for public access and use. License: See this page for license information.

    Downloads & Resources

    References

    https://doi.org/10.1016/j.jwpe.2023.103691

    Dates

    Metadata Created Date April 10, 2023
    Metadata Updated Date April 10, 2023

    Metadata Source

    Harvested from EPA ScienceHub

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date April 10, 2023
    Metadata Updated Date April 10, 2023
    Publisher U.S. EPA Office of Research and Development (ORD)
    Maintainer
    Identifier https://doi.org/10.23719/1528436
    Data Last Modified 2023-01-18
    Public Access Level public
    Bureau Code 020:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Harvest Object Id 6dbeab94-4043-43f7-b545-fcffc467e93b
    Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
    Harvest Source Title EPA ScienceHub
    License https://pasteur.epa.gov/license/sciencehub-license.html
    Program Code 020:000
    Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
    Related Documents https://doi.org/10.1016/j.jwpe.2023.103691
    Source Datajson Identifier True
    Source Hash ef188eb7140485e91bc8d0b86c388bc95229a785
    Source Schema Version 1.1

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