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

Abstract

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

Figures and Tables

Sorry, we couldn't extract any figures or tables for this paper.

Statistics

020406020162017
Citations per Year

Citation Velocity: 13

Averaging 13 citations per year over the last 2 years.

Learn more about how we calculate this metric in our FAQ.