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

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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  "020:00"
]

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  "020:000"
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[
  "https://doi.org/10.1016/j.watres.2016.11.012"
]