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    • Multiscale predictions of aviation-attributable PM 2.5 for US airports modeled using CMAQ with plume-in-grid and an aircraft-specific 1-D emission model

    Metadata Updated: November 12, 2020

    NA. This dataset is not publicly accessible because: No EPA generated data was used in this work. It can be accessed through the following means: NA. Format: No EPA generated data was used in this work.

    This dataset is associated with the following publication: Woody, M., H. Hsi-Wu Wong, J.J. West, and S. Arunachalam. Multiscale predictions of aviation-attributable PM2.5 for U.S. airports modeled using CMAQ with plume-in-grid and an aircraft-specific 1-D emission model. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 147: 384-394, (2016).

    Access & Use Information

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

    Downloads & Resources

    No file downloads have been provided. The publisher may provide downloads in the future or they may be available from their other links.

    References

    https://doi.org/10.1016/j.atmosenv.2016.10.016

    Dates

    Metadata Created Date November 12, 2020
    Metadata Updated Date November 12, 2020

    Metadata Source

    Harvested from EPA ScienceHub

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date November 12, 2020
    Metadata Updated Date November 12, 2020
    Publisher U.S. EPA Office of Research and Development (ORD)
    Maintainer
    Identifier A-fqzk-548
    Data Last Modified 2017-02-15
    Public Access Level public
    Bureau Code 020:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Harvest Object Id 5548acb3-0144-4073-82b9-a7232433175b
    Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
    Harvest Source Title EPA ScienceHub
    License https://pasteur.epa.gov/license/sciencehub-license.html
    Program Code 020:094
    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.atmosenv.2016.10.016
    Source Datajson Identifier True
    Source Hash 164a1455e60d17c1fcde83139e1099ee9dcacecb
    Source Schema Version 1.1

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