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    • Optimal sampling locations contamination extent WDS figure dataset 08242018

    Metadata Updated: September 3, 2022

    The dataset was created from simulating contamination incidents in a water distribution system and selecting optimal sampling locations to identify the contamination incident. This data includes the number of contamination scenarios still credible after each sampling cycle; the number of nodes correctly identified as being contaminated after each sampling cycle; and the number of nodes identify as likely contaminated, likely not contaminated, and uncertain after each sampling cycle.

    This dataset is associated with the following publication: Rodriguez, S., M. Bynum, C. Laird, D. Hart, K. Klise, J. Burkhardt, and T. Haxton. Optimal sampling locations to reduce uncertainty in contamination extent in water distribution systems. Journal of Infrastructure Systems. American Society of Civil Engineers (ASCE), Reston, VA, USA, 27(3): 1-31, (2021).

    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/10.1061/(asce)is.1943-555x.0000628

    Dates

    Metadata Created Date September 3, 2022
    Metadata Updated Date September 3, 2022

    Metadata Source

    Harvested from EPA ScienceHub

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date September 3, 2022
    Metadata Updated Date September 3, 2022
    Publisher U.S. EPA Office of Research and Development (ORD)
    Maintainer
    Identifier https://doi.org/10.23719/1502586
    Data Last Modified 2018-08-24
    Public Access Level public
    Bureau Code 020:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Harvest Object Id 2a5b13e0-43ba-40bb-bacd-e2320d442844
    Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
    Harvest Source Title EPA ScienceHub
    License https://pasteur.epa.gov/license/sciencehub-license.html
    Program Code 020:060
    Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
    Related Documents https://doi.org/10.1061/(asce)is.1943-555x.0000628
    Source Datajson Identifier True
    Source Hash 00bdf90bd8eaaf76228da8b9eb3bf50d9b4f711e
    Source Schema Version 1.1

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