Dynamic Modeling of Filamentous Bulking in Lab-scale Activated Sludge Processes
نویسندگان
چکیده
Activated sludge is a complex ecosystem constituted mainly of bacteria and protozoa. Filamentous bulking, a phenomenon when the filamentous organisms dominate the activated sludge is still a widespread problem in the operation of activated sludge processes. Image analysis offers promising perspectives for early detection of filamentous bulking because the morphology parameters of the activated sludge react very fast to changing process conditions. This paper is aimed at identifying dynamic ARX and state space models as a function of organic loading and digital image analysis information (such as the total filament length per image and some representative mean floc shape parameters) to describe the evolution of the Sludge Volume Index (SVI). Their performances are compared based on an adequate quality performance criterion.
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