Organic micropollutants removal in sequential batch reactor followed by nanofiltration from municipal wastewater treatment
Amy, Gary L.
KAUST DepartmentWater Desalination and Reuse Research Center (WDRC)
Biological and Environmental Sciences and Engineering (BESE) Division
Environmental Science and Engineering Program
Online Publication Date2018-08-19
Print Publication Date2018-11
Permanent link to this recordhttp://hdl.handle.net/10754/630504
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AbstractThe removal of 26 organic micropollutants (OMPs) in synthetic municipal wastewater was investigated via the process of aerobic sequential batch reactor (SBR) alone and SBR followed by nanofiltration (NF). SBR-NF performed better than SBR alone, ascribed to the contribution of NF: 1) complete biomass rejection resulted in diverse microbial community and much less fluctuated performance than SBR alone, and 2) direct OMPs rejection (74–98%) increased their retention time in SBR and thus overall removal via biodegradation/transformation and accumulation in SBR. Nine OMPs showed high biological removal (over 60%), 6 OMPs showed moderate biological removal (30–70%) and 10 OMPs showed low biological removal (below 40%). Most readily and moderately biodegradable OMPs contained strong electron donating group. Most refractory OMPs contained strong electron withdrawing group and/or halogen substitute. The batch addition of powdered activated carbon (100 mg/L) into SBR showed short term sorption performance for both OMPs and bulk organics.
CitationWei C-H, Wang N, HoppeJones C, Leiknes T, Amy G, et al. (2018) Organic micropollutants removal in sequential batch reactor followed by nanofiltration from municipal wastewater treatment. Bioresource Technology 268: 648–657. Available: http://dx.doi.org/10.1016/j.biortech.2018.08.073.
SponsorsThe research reported in this publication was supported by funding from King Abdullah University of Science and Technology in Saudi Arabia, the National Natural Science Foundation of China (No. 51778155), the Natural Science Foundation of Guangdong Province in China (No. 2017A030313310), and the 100-Talent Program (Outstanding Young Scholar) of Guangzhou University in China (69-18ZX10043).