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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).

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

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

Metadata Source

Harvested from EPA ScienceHub

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)
Data Last Modified 2016-06-29
Public Access Level public
Bureau Code 020:00
Schema Version
Harvest Object Id a5b2ca9c-8dec-4bdb-9858-b63780a57853
Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
Harvest Source Title EPA ScienceHub
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
Source Datajson Identifier True
Source Hash 8b909b47c51f4770725f756332bde2fb1bd1ab9c
Source Schema Version 1.1

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