Title: Predicting the onset of filamentous bulking in biological wastewater treatment systems by exploiting image analysis information
Authors: Banadda, E.N ×
Smets, Ilse
Jenné, R
Van Impe, Jan #
Issue Date: Oct-2004
Publisher: Springer-Verlag
Series Title: Bioprocess and Biosystems Engineering vol:27 issue:5 pages:339-348
Conference: date:Katholieke Univ Leuven, Dept Chem Engn, B-3001 Louvain, Belgium
Abstract: The performance of the activated sludge process is limited by the ability of the sedimentation tank (1) to separate the activated sludge from the treated effluent and (2) to concentrate it. Apart from bad operating strategies or poorly designed clarifiers, settling failures can mainly be attributed to filamentous bulking. Image analysis is a promising technique that can be used for early detection of filamentous bulking. The aim of this paper is therefore twofold. Foremost, correlations are sought between image analysis information (i.e., the total filament length per image, the mean form factor, the mean equivalent floc diameter, the mean floc roundness and the mean floc reduced radius of gyration) and classical measurements (i.e., the Sludge Volume Index (SVI)). Secondly, this information is both explored and exploited in order to identify dynamic ARX and state space-type models. Their performance is compared based on two criteria.
ISSN: 1615-7591
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Chemical Engineering - miscellaneous
Bio- & Chemical Systems Technology, Reactor Engineering and Safety Section
× corresponding author
# (joint) last author

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