Please use this identifier to cite or link to this item: http://hdl.handle.net/10321/2218
Title: A logistic model for the remediation of filamentous bulking in a biological nutrient removal wastewater treatment plant
Authors: Deepnarain, Nashia 
Kumari, Sheena K. 
Swalaha, Feroz Mahomed 
Ramjith, J.
Tandoi, V.
Pillay, K. 
Bux, Faizal 
Issue Date: Aug-2015
Publisher: IWA Publishing
Source: Deepnarain, N.et al. 2015. A logistic model for the remediation of filamentous bulking in a biological nutrient removal wastewater treatment plant. Water Science and Technology. 72(3): 391-405.
Journal: Water science and technology (Online) ItemCrisRefDisplayStrategy.journals.deleted.icon
Abstract: Biological nutrient removal (BNR) systems across the globe frequently experience bulking and foaming episodes, which present operational challenges such as poor sludge settling due to excessive filamentous bacteria. A full-scale BNR plant treating primarily domestic wastewater was monitored over a period of 1 year to investigate filamentous bacterial growth response under various plant operating parameters. Identification of filamentous bacteria by conventional microscopy and fluorescent in situ hybridisation indicated the dominance of Eikelboom Type021N, Thiothrix spp., Eikelboom Type 1851 and Eikelboom Type 0092. A cumulative logit model (CLM) was applied to elucidate significant relationships between the filamentous bacteria and plant operational parameters. The model could predict the potential abundance of dominant filamentous bacteria in relation to wastewater treatment plant operational parameters. Data obtained from the model corroborated with previous findings on the dominance of most filaments identified, except for Type 0092, which exhibited some unique traits. With further validation, the model could be successfully applied for identifying specific parameters which could contribute towards filamentous bulking, thus, providing a useful tool for regulating specific filamentous growth in full-scale wastewater treatment plants.
URI: http://hdl.handle.net/10321/2218
ISSN: 0273-1223 (print)
1996-9732 (online)
Appears in Collections:Research Publications (Applied Sciences)

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