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Article: Evaluation of the importance of various operating and sludge property parameters to the fouling of membrane bioreactors
Title | Evaluation of the importance of various operating and sludge property parameters to the fouling of membrane bioreactors | ||||||||
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Authors | |||||||||
Keywords | Biopolymer clusters Membrane bioreactor Membrane fouling Microfiltration Multi-variable linear regression | ||||||||
Issue Date | 2011 | ||||||||
Publisher | IWA Publishing. The Journal's web site is located at http://www.iwapublishing.com/template.cfm?name=iwapwst | ||||||||
Citation | Water Science and Technology, 2011, v. 64 n. 6, p. 1340-1346 How to Cite? | ||||||||
Abstract | A single-fibre microfiltration system was employed to investigate the importance of various operating and sludge property parameters to the membrane fouling during sludge filtration. The sludge was obtained from a submerged membrane bioreactor (SMBR). A series of comparative and correlative filtration and fouling tests were conducted on the influence of the operating variables, sludge properties and the liquid-phase organic substances on the membrane fouling development. The test results were analysed statistically with Pearson's correlation coefficients and the stepwise multivariable linear regression. According to the statistical evaluation, the membrane fouling rate has a positive correlation with the biopolymer cluster (BPC) concentration, sludge concentration (mixed liquor suspended solids, MLSS), filtration flux and viscosity, a negative correlation with the cross-flow velocity, and a weak correlation with the extracellular polymeric substances and soluble microbial products. BPC appear to be the most important factor to membrane fouling development during the sludge filtration, followed by the filtration flux and MLSS concentration. The cross-flow rate also is important to the fouling control. It is argued that, during membrane filtration of SMBR sludge, BPC interact with sludge flocs at the membrane surface to facilitate the deposition of the sludge cake layer, leading to serious membrane fouling. | ||||||||
Persistent Identifier | http://hdl.handle.net/10722/150600 | ||||||||
ISSN | 2023 Impact Factor: 2.5 2023 SCImago Journal Rankings: 0.554 | ||||||||
ISI Accession Number ID |
Funding Information: This research was supported by URC funding from the University of Hong Kong, Special Equipment Grant SEG_HKU10 from the University Grants Council (UGC) and Grants HKU7149/E06 and HKU7144/E07 from the Research Grants Council (RGC) of the Hong Kong SAR Government. The technical assistance of Mr. Keith C. H. Wong is greatly appreciated. | ||||||||
References | |||||||||
Grants |
DC Field | Value | Language |
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dc.contributor.author | Sun, FY | en_US |
dc.contributor.author | Li, XY | en_US |
dc.date.accessioned | 2012-06-26T06:06:03Z | - |
dc.date.available | 2012-06-26T06:06:03Z | - |
dc.date.issued | 2011 | en_US |
dc.identifier.citation | Water Science and Technology, 2011, v. 64 n. 6, p. 1340-1346 | en_US |
dc.identifier.issn | 0273-1223 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/150600 | - |
dc.description.abstract | A single-fibre microfiltration system was employed to investigate the importance of various operating and sludge property parameters to the membrane fouling during sludge filtration. The sludge was obtained from a submerged membrane bioreactor (SMBR). A series of comparative and correlative filtration and fouling tests were conducted on the influence of the operating variables, sludge properties and the liquid-phase organic substances on the membrane fouling development. The test results were analysed statistically with Pearson's correlation coefficients and the stepwise multivariable linear regression. According to the statistical evaluation, the membrane fouling rate has a positive correlation with the biopolymer cluster (BPC) concentration, sludge concentration (mixed liquor suspended solids, MLSS), filtration flux and viscosity, a negative correlation with the cross-flow velocity, and a weak correlation with the extracellular polymeric substances and soluble microbial products. BPC appear to be the most important factor to membrane fouling development during the sludge filtration, followed by the filtration flux and MLSS concentration. The cross-flow rate also is important to the fouling control. It is argued that, during membrane filtration of SMBR sludge, BPC interact with sludge flocs at the membrane surface to facilitate the deposition of the sludge cake layer, leading to serious membrane fouling. | en_US |
dc.language | eng | en_US |
dc.publisher | IWA Publishing. The Journal's web site is located at http://www.iwapublishing.com/template.cfm?name=iwapwst | en_US |
dc.relation.ispartof | Water Science and Technology | en_US |
dc.rights | Water Science and Technology. Copyright © IWA Publishing. | - |
dc.rights | ©IWA Publishing 2011. The definitive peer-reviewed and edited version of this article is published in Water Science and Technology, 2011, v. 64 n. 6, p. 1340-1346 (DOI: 10.2166/wst.2011.137) and is available at www.iwapublishing.com | - |
dc.subject | Biopolymer clusters | - |
dc.subject | Membrane bioreactor | - |
dc.subject | Membrane fouling | - |
dc.subject | Microfiltration | - |
dc.subject | Multi-variable linear regression | - |
dc.subject.mesh | Bioreactors - microbiology | en_US |
dc.subject.mesh | Filtration - methods | en_US |
dc.subject.mesh | Membranes, Artificial | en_US |
dc.subject.mesh | Sewage - microbiology | en_US |
dc.subject.mesh | Waste Disposal, Fluid | en_US |
dc.title | Evaluation of the importance of various operating and sludge property parameters to the fouling of membrane bioreactors | en_US |
dc.type | Article | en_US |
dc.identifier.email | Sun, FY: h0695064@hkusua.hku.hk | en_US |
dc.identifier.email | Li, XY: xlia@hkucc.hku.hk | - |
dc.identifier.authority | Li, XY=rp00222 | en_US |
dc.description.nature | postprint | en_US |
dc.identifier.doi | 10.2166/wst.2011.137 | en_US |
dc.identifier.pmid | 22214089 | - |
dc.identifier.scopus | eid_2-s2.0-80052950153 | en_US |
dc.identifier.hkuros | 209075 | - |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-80052950153&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 64 | en_US |
dc.identifier.issue | 6 | en_US |
dc.identifier.spage | 1340 | en_US |
dc.identifier.epage | 1346 | en_US |
dc.identifier.isi | WOS:000295117700020 | - |
dc.publisher.place | United Kingdom | en_US |
dc.relation.project | Environmental Bio-Nano Interface (EBNI) Characterization System | - |
dc.identifier.scopusauthorid | Li, XY=26642887900 | en_US |
dc.identifier.scopusauthorid | Sun, FY=53164969600 | en_US |
dc.identifier.issnl | 0273-1223 | - |