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Article: Evaluation of the importance of various operating and sludge property parameters to the fouling of membrane bioreactors

TitleEvaluation of the importance of various operating and sludge property parameters to the fouling of membrane bioreactors
Authors
KeywordsBiopolymer clusters
Membrane bioreactor
Membrane fouling
Microfiltration
Multi-variable linear regression
Issue Date2011
PublisherIWA 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?
AbstractA 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 Identifierhttp://hdl.handle.net/10722/150600
ISSN
2023 Impact Factor: 2.5
2023 SCImago Journal Rankings: 0.554
ISI Accession Number ID
Funding AgencyGrant Number
University of Hong Kong
University Grants Council (UGC)SEG_HKU10
Research Grants Council (RGC) of the Hong Kong SAR GovernmentHKU7149/E06
HKU7144/E07
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 FieldValueLanguage
dc.contributor.authorSun, FYen_US
dc.contributor.authorLi, XYen_US
dc.date.accessioned2012-06-26T06:06:03Z-
dc.date.available2012-06-26T06:06:03Z-
dc.date.issued2011en_US
dc.identifier.citationWater Science and Technology, 2011, v. 64 n. 6, p. 1340-1346en_US
dc.identifier.issn0273-1223en_US
dc.identifier.urihttp://hdl.handle.net/10722/150600-
dc.description.abstractA 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.languageengen_US
dc.publisherIWA Publishing. The Journal's web site is located at http://www.iwapublishing.com/template.cfm?name=iwapwsten_US
dc.relation.ispartofWater Science and Technologyen_US
dc.rightsWater 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.subjectBiopolymer clusters-
dc.subjectMembrane bioreactor-
dc.subjectMembrane fouling-
dc.subjectMicrofiltration-
dc.subjectMulti-variable linear regression-
dc.subject.meshBioreactors - microbiologyen_US
dc.subject.meshFiltration - methodsen_US
dc.subject.meshMembranes, Artificialen_US
dc.subject.meshSewage - microbiologyen_US
dc.subject.meshWaste Disposal, Fluiden_US
dc.titleEvaluation of the importance of various operating and sludge property parameters to the fouling of membrane bioreactorsen_US
dc.typeArticleen_US
dc.identifier.emailSun, FY: h0695064@hkusua.hku.hken_US
dc.identifier.emailLi, XY: xlia@hkucc.hku.hk-
dc.identifier.authorityLi, XY=rp00222en_US
dc.description.naturepostprinten_US
dc.identifier.doi10.2166/wst.2011.137en_US
dc.identifier.pmid22214089-
dc.identifier.scopuseid_2-s2.0-80052950153en_US
dc.identifier.hkuros209075-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-80052950153&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume64en_US
dc.identifier.issue6en_US
dc.identifier.spage1340en_US
dc.identifier.epage1346en_US
dc.identifier.isiWOS:000295117700020-
dc.publisher.placeUnited Kingdomen_US
dc.relation.projectEnvironmental Bio-Nano Interface (EBNI) Characterization System-
dc.identifier.scopusauthoridLi, XY=26642887900en_US
dc.identifier.scopusauthoridSun, FY=53164969600en_US
dc.identifier.issnl0273-1223-

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