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...

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Veröffentlicht in:	Water research (Oxford) 2014-03, Vol.50, p.254-266
Hauptverfasser:	Sharifi, Soroosh, Murthy, Sudhir, Takács, Imre, Massoudieh, Arash
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences ASM Bayesian Biodegradation, Environmental Biological and medical sciences Biological treatment Biological treatment of waters Bioreactors Biotechnology Environment and pollution Exact sciences and technology Fundamental and applied biological sciences. Psychology General purification processes Industrial applications and implications. Economical aspects Markov Chain Monte Carlo Markov Chains Models, Theoretical Monte Carlo Method Pollution Sewage - chemistry Uncertainty assessment Waste Disposal, Fluid Waste Water - chemistry Wastewaters Water treatment and pollution
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