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    • Digitized Onondaga Lake Dissolved Oxygen Concentrations and Model Simulated Values using Bayesian Monte Carlo Methods

    Metadata Updated: November 12, 2020

    The dataset is lake dissolved oxygen concentrations obtained form plots published by Gelda et al. (1996) and lake reaeration model simulated values using Bayesian Monte Carlo methods (Chaudhary and Hantush, 2017). The data also includes measured (Gelda et al., 1996 and references therein) versus estimated liquid film transfer coefficient values (KL) by Chaudhary and Hantush (2017).

    This dataset is associated with the following publication: Chaudhary, A., and M. Hantush. Bayesian Monte Carlo and Maximum Likelihood Approach for Uncertainty Estimation and Risk Management: Application to Lake Oxygen Recovery Model. Mark van Loosdrecht WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 108: 301-311, (2017).

    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.watres.2016.11.012

    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 https://doi.org/10.23719/1405325
    Data Last Modified 2016-06-29
    Public Access Level public
    Bureau Code 020:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Harvest Object Id a5b2ca9c-8dec-4bdb-9858-b63780a57853
    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.watres.2016.11.012
    Source Datajson Identifier True
    Source Hash 8b909b47c51f4770725f756332bde2fb1bd1ab9c
    Source Schema Version 1.1

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