Effect of different salinity adaptation on the performance and microbial community in a sequencing batch reactor
- Authors
- Zhao, Yuanyuan; Park, Hee-Deung; Park, Jeong-Hoon; Zhang, Fushuang; Chen, Chen; Li, Xiangkun; Zhao, Dan; Zhao, Fangbo
- Issue Date
- 9월-2016
- Publisher
- ELSEVIER SCI LTD
- Keywords
- Activated sludge; High-throughput amplicon sequencing; Microbial community; Phylogenetic analysis; Salinity influence
- Citation
- BIORESOURCE TECHNOLOGY, v.216, pp.808 - 816
- Indexed
- SCIE
SCOPUS
- Journal Title
- BIORESOURCE TECHNOLOGY
- Volume
- 216
- Start Page
- 808
- End Page
- 816
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/87622
- DOI
- 10.1016/j.biortech.2016.06.032
- ISSN
- 0960-8524
- Abstract
- The performance and microbial community profiles in a sequencing batch reactor (SBR) treating saline wastewater were studied over 300 days from 0 wt% to 3.0 wt% salinity. The experimental results indicated that the activated sludge had high sensitivity to salinity variations in terms of pollutants removal and sedimentation. At 2.0 wt% salinity, the system retained a good performance, and 95% removal rate of chemical oxygen demand (COD), biochemical oxygen demand (BOD), NH4+-N and total phosphorus (TP) could be achieved. Operation before addition salinity revealed the optimal performance and the most microbial diversity indicated by 16S rRNA gene clone library. Sequence analyses illustrated that Candidate_division_TM7 (TM7) was predominant at 2.0 wt% salinity; however, Actinobacteria was more abundant at 3.0 wt% salinity. (C) 2016 Elsevier Ltd. All rights reserved.
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Collections - College of Engineering > School of Civil, Environmental and Architectural Engineering > 1. Journal Articles
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