Probabilistic parameter estimation of activated sludge processes using Markov Chain Monte Carlo.


One of the most important challenges in making activated sludge models (ASMs) applicable to design problems is identifying the values of its many stoichiometric and kinetic parameters. When wastewater characteristics data from full-scale biological treatment systems are used for parameter estimation, several sources of uncertainty, including uncertainty in… (More)
DOI: 10.1016/j.watres.2013.12.010

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