Simultaneous nitrification-denitrification using baffled osmotic membrane bioreactor-microfiltration hybrid system at different oxic-anoxic conditions for wastewater treatment

Nirenkumar Pathak, S. Phuntsho, Van Huy Tran, M.A.H. Johir, NorEddine Ghaffour, TorOve Leiknes, Takahiro Fujioka, H.K. Shon

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

The efficacy of a baffled osmotic membrane bioreactor-microfiltration (OMBR-MF) hybrid system equipped with thin film forward osmosis membrane for wastewater treatment was evaluated at laboratory scale. The novel OMBR-MF hybrid system involved baffles, that separate oxic and anoxic zones in the aerobic reactor for simultaneous nitrification and denitrification (SND), and a bioreactor comprised of thin film composite-forward osmosis (TFC-FO) and polyether sulfone-microfiltration (PES-MF) membranes. The evaluation was conducted under four different oxic-anoxic cycle patterns. Changes in flux, salinity build-up, and microbial activity (e.g., extracellular polymeric substances (EPS) were assessed. Over the course of a 34 d test, the OMBR-MF hybrid system achieved high removal of total organic carbon (TOC) (86–92%), total nitrogen (TN) (63–76%), and PO4–P (57–63%). The oxic-anoxic cycle time of 0.5–1.5 h was identified to be the best operating condition. Incorporation of MF membrane effectively alleviated salinity build-up in the reactor, allowing stable system operation.
Original languageEnglish (US)
Pages (from-to)109685
JournalJournal of Environmental Management
Volume253
DOIs
StatePublished - Oct 22 2019

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): CRG2017, URF/1/3404-01
Acknowledgements: This study is funded by the Bhutan Trust Fund for Environmental Conservation (BTFEC) [Project Grant No. MB0167Y16]. The research reported in this paper was also supported by King Abdullah University of Science and Technology (KAUST), Saudi Arabia through the Competitive Research Grant Program – CRG2017 (CRG6), Grant # URF/1/3404-01. PhD candidate Nirenkumar Pathak would like to acknowledge scholarship support from Commonwealth of Australia under Research Training Program (RTP).

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