Pseudo-analytical solutions for multi-species biofilm model of aerobic granular sludge

This paper demonstrates modelling of the aerobic granular sludge (AGS) process with the pseudo-analytical solutions (PAS) of a biofilm model. A MATLAB programmed graphical user interface platform was developed to facilitate the model calculation and access. Model calibration and validation were carr...

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Veröffentlicht in:Environmental technology. - 1993. - 42(2021), 22 vom: 01. Sept., Seite 3421-3431
1. Verfasser: Cui, Fenghao (VerfasserIn)
Weitere Verfasser: Kim, Minkyung, Lee, Wonbae, Park, Chul, Kim, Moonil
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2021
Zugriff auf das übergeordnete Werk:Environmental technology
Schlagworte:Journal Article Aerobic granular sludge SBR biofilm modelling pseudo-analytical solutions Sewage Nitrogen N762921K75
Beschreibung
Zusammenfassung:This paper demonstrates modelling of the aerobic granular sludge (AGS) process with the pseudo-analytical solutions (PAS) of a biofilm model. A MATLAB programmed graphical user interface platform was developed to facilitate the model calculation and access. Model calibration and validation were carried out through using experimental data collected from a granular sludge sequencing batch reactor operation. The experimental and modelling results identified the distribution of heterotrophs and nitrifiers on the AGS and its contribution to the performance of wastewater treatment. The model could describe multi-species biofilms according to the distinguishing features among the three levels of PAS models. The models demonstrated increasing degrees of interaction (no interaction, competition for nitrogen and layering and protection) between heterotrophs and nitrifiers. Modelling the AGS process using PAS increases the accessibility of the simulation of multiple species in both biofilm and suspended biomass
Beschreibung:Date Completed 31.08.2021
Date Revised 31.08.2021
published: Print-Electronic
Citation Status MEDLINE
ISSN:1479-487X
DOI:10.1080/09593330.2020.1733673