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dc.contributor.authorFortunato, Luca
dc.contributor.authorLi, Muxingzi
dc.contributor.authorCheng, Tuoyuan
dc.contributor.authorRehman, Zahid Ur
dc.contributor.authorHeidrich, Wolfgang
dc.contributor.authorLeiknes, TorOve
dc.date.accessioned2019-03-14T14:15:21Z
dc.date.available2019-03-14T14:15:21Z
dc.date.issued2019-02-21
dc.identifier.citationFortunato, L., Li, M., Cheng, T., Rehman, Z. U., Heidrich, W., & Leiknes, T. (2019). Cake layer characterization in Activated Sludge Membrane Bioreactors: Real-time analysis. Journal of Membrane Science, 578, 163–171. doi:10.1016/j.memsci.2019.02.026
dc.identifier.issn0376-7388
dc.identifier.doi10.1016/j.memsci.2019.02.026
dc.identifier.urihttp://hdl.handle.net/10754/631607
dc.description.abstractActivated Sludge Membrane Bioreactors (AS-MBR) are recognized as a commercially competitive alternative to conventional wastewater treatments. However, membrane fouling remains one of the main challenges and disadvantages of the process. This study evaluates the suitability of Optical Coherence Tomography (OCT) in monitoring the cake layer development in-situ in AS-MBR under continuous operation. Real-time direct imaging of the cake layer was feasible when limiting the continuous movement of the AS flocs in the reactor by turning aeration off for few minutes prior to scanning a given membrane area. The cake layer morphology was evaluated using both 2D and 3D image analysis. The 3D analysis respect to 2D analysis provided a more representative characterization of the fouling formed in the system. The non-invasive nature of OCT imaging enabled monitoring fouling development over time, where an increase in thickness and a decrease in roughness was observed in the first 200 h of operation. The 3D OCT image analyses were also compared with the 3D confocal laser scanning microscopy (CLSM) image analyses performed at the end of the study. Results demonstrate that OCT imaging can be applied for online, real-time monitoring and analysis of fouling behavior in AS-MBR systems.
dc.description.sponsorshipThis study was supported by funding from King Abdullah University of Science and Technology (KAUST).
dc.publisherElsevier BV
dc.relation.urlhttps://www.sciencedirect.com/science/article/pii/S0376738818330953
dc.titleCake layer characterization in Activated Sludge Membrane Bioreactors: Real-time analysis
dc.typeArticle
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Division
dc.contributor.departmentComputational Imaging Group
dc.contributor.departmentComputer Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentEnvironmental Science and Engineering Program
dc.contributor.departmentVisual Computing Center (VCC)
dc.contributor.departmentWater Desalination and Reuse Research Center (WDRC)
dc.identifier.journalJournal of Membrane Science
kaust.personFortunato, Luca
kaust.personLi, Muxingzi
kaust.personCheng, Tuoyuan
kaust.personRehman, Zahid Ur
kaust.personHeidrich, Wolfgang
kaust.personLeiknes, TorOve
dc.date.published-online2019-02-21
dc.date.published-print2019-05


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