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Effect of different salinity adaptation on the performance and microbial community in a sequencing batch reactor

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dc.contributor.authorZhao, Yuanyuan-
dc.contributor.authorPark, Hee-Deung-
dc.contributor.authorPark, Jeong-Hoon-
dc.contributor.authorZhang, Fushuang-
dc.contributor.authorChen, Chen-
dc.contributor.authorLi, Xiangkun-
dc.contributor.authorZhao, Dan-
dc.contributor.authorZhao, Fangbo-
dc.date.accessioned2021-09-03T20:24:06Z-
dc.date.available2021-09-03T20:24:06Z-
dc.date.created2021-06-16-
dc.date.issued2016-09-
dc.identifier.issn0960-8524-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/87622-
dc.description.abstractThe 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.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherELSEVIER SCI LTD-
dc.subjectWASTE-WATER-
dc.subjectSP NOV.-
dc.subjectNUTRIENT REMOVAL-
dc.subjectMEMBRANE BIOREACTOR-
dc.subjectGEN. NOV.-
dc.subjectBIOMASS-
dc.subjectSALT-
dc.subjectNITRIFICATION-
dc.subjectDEGRADATION-
dc.subjectIMPACT-
dc.titleEffect of different salinity adaptation on the performance and microbial community in a sequencing batch reactor-
dc.typeArticle-
dc.contributor.affiliatedAuthorPark, Hee-Deung-
dc.identifier.doi10.1016/j.biortech.2016.06.032-
dc.identifier.scopusid2-s2.0-84974578339-
dc.identifier.wosid000379555900101-
dc.identifier.bibliographicCitationBIORESOURCE TECHNOLOGY, v.216, pp.808 - 816-
dc.relation.isPartOfBIORESOURCE TECHNOLOGY-
dc.citation.titleBIORESOURCE TECHNOLOGY-
dc.citation.volume216-
dc.citation.startPage808-
dc.citation.endPage816-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaAgriculture-
dc.relation.journalResearchAreaBiotechnology & Applied Microbiology-
dc.relation.journalResearchAreaEnergy & Fuels-
dc.relation.journalWebOfScienceCategoryAgricultural Engineering-
dc.relation.journalWebOfScienceCategoryBiotechnology & Applied Microbiology-
dc.relation.journalWebOfScienceCategoryEnergy & Fuels-
dc.subject.keywordPlusWASTE-WATER-
dc.subject.keywordPlusSP NOV.-
dc.subject.keywordPlusNUTRIENT REMOVAL-
dc.subject.keywordPlusMEMBRANE BIOREACTOR-
dc.subject.keywordPlusGEN. NOV.-
dc.subject.keywordPlusBIOMASS-
dc.subject.keywordPlusSALT-
dc.subject.keywordPlusNITRIFICATION-
dc.subject.keywordPlusDEGRADATION-
dc.subject.keywordPlusIMPACT-
dc.subject.keywordAuthorActivated sludge-
dc.subject.keywordAuthorHigh-throughput amplicon sequencing-
dc.subject.keywordAuthorMicrobial community-
dc.subject.keywordAuthorPhylogenetic analysis-
dc.subject.keywordAuthorSalinity influence-
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