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Liu T, Shen Z, Zhang C, Song Y, Li J, Yang Z, Song G, Han Z, Zhou Y. Effect of influent pH on hydrolytic acidification performance and bacterial community structure in EGSB for pretreating crotonaldehyde manufacture wastewater after ozonation. WATER SCIENCE AND TECHNOLOGY : A JOURNAL OF THE INTERNATIONAL ASSOCIATION ON WATER POLLUTION RESEARCH 2019; 79:1174-1183. [PMID: 31070597 DOI: 10.2166/wst.2019.118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
The objective of this work was to evaluate the effect of influent pH on the hydrolytic acidification (HA) performance and microbial community structure in an expanded granular sludge bed (EGSB) pretreating crotonaldehyde manufacture wastewater (CMW) after ozonation. The results showed that higher chemical oxygen demand (COD) removal rate (40.1%) and acidification degree (27.6%) were obtained at pH 8.0 than those at pH 6.0 and pH 4.0. The concentration of extractable extracellular polymeric substance (EPS) in the sludge gradually decreased with the pH decreasing from 8.0 to 4.0. A similar change was also observed for the concentration of total volatile fatty acids (TVFA) in the effluent. The optimal detoxification efficiency by the HA process was obtained at pH 8.0, with higher removal efficiency (all higher than 90%) of the main toxic pollutants (crotonaldehyde, 5-formyl-6-methyl-4,5-dihydropyran, etc.) and higher anaerobic biodegradation rate (44.5%) in biochemical methane potential (BMP) assay. Among the predominant genera, the Acinetobacter and Pseudomonas were possibly related to biodegradation of pollutants, since their higher relative abundance also coincided with the better performance of the HA process at pH 8.0.
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Affiliation(s)
- Tao Liu
- School of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou 730000, China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China E-mail:
| | - Zhiqiang Shen
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China E-mail:
| | - Chunyu Zhang
- Jilin Petrochemical Company, Ltd, PetroChina, Jilin 132022, China
| | - Yudong Song
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China E-mail:
| | - Jie Li
- School of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou 730000, China
| | - Zongpu Yang
- School of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou 730000, China
| | - Guangqing Song
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China E-mail:
| | - Zhenfeng Han
- College of Environmental Science and Engineering, Hunan University and Key Laboratory of Environmental Biology and Pollution Control (Hunan University), Ministry of Education, Changsha, Hunan 410082, China
| | - Yuexi Zhou
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China E-mail:
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Methanogenic degradation of branched alkanes in enrichment cultures of production water from a high-temperature petroleum reservoir. Appl Microbiol Biotechnol 2019; 103:2391-2401. [DOI: 10.1007/s00253-018-09574-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Revised: 12/10/2018] [Accepted: 12/10/2018] [Indexed: 11/26/2022]
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Dong H, Jiang X, Sun S, Fang L, Wang W, Cui K, Yao T, Wang H, Zhang Z, Zhang Y, Zhang Z, Fu P. A cascade of a denitrification bioreactor and an aerobic biofilm reactor for heavy oil refinery wastewater treatment. RSC Adv 2019; 9:7495-7504. [PMID: 35519961 PMCID: PMC9061216 DOI: 10.1039/c8ra10510c] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2018] [Accepted: 02/26/2019] [Indexed: 11/21/2022] Open
Abstract
The performance of an efficient denitrification bioreactor–aerobic biofilm reactor cascade for heavy oil refinery wastewater treatment was investigated.
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Song G, Xi H, Zhou Y, Fu L, Xing X, Wu C. Influence of organic load rate (OLR) on the hydrolytic acidification of 2-butenal manufacture wastewater and analysis of bacterial community structure. BIORESOURCE TECHNOLOGY 2017; 243:502-511. [PMID: 28692919 DOI: 10.1016/j.biortech.2017.06.162] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2017] [Revised: 06/25/2017] [Accepted: 06/29/2017] [Indexed: 06/07/2023]
Abstract
The influence of organic loading rate (OLR) on the performance of hydrolytic acidification process for treating 2-butenal manufacture wastewater was comprehensively studied, while its impact on microbial community was thoroughly investigated. The results demonstrated that over 21.0% of the average COD removal rate was observed in the range of OLR from 0.52 to 3.98g COD/L·d, whereas it reduced to 15.3% with increasing OLR to 6.09g COD/L·d. The acidification degree dramatically decreased from 17.1% to 4.7% when OLR increased from 3.98 to 6.09g COD/L·d. In addition, the removal rates of three kinds of typical matters were less than 65% at the OLR 6.09g COD/L·d. Illumina MiSeq sequencing revealed that Proteobacteria, Chloroflexi, Firmicutes, and Bacteroidetes were dominant phyla at different OLRs. Finally, multivariate analysis suggested that the genera Longilinea and T78 had a positive correlation with the degradation of three kinds of typical matters and COD removal rates.
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Affiliation(s)
- Guangqing Song
- Research Center of Water Pollution Control Technology, Chinese Research Academy of Environmental Sciences, Beijing 100012, PR China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environment Sciences, Beijing 100012, PR China; College of Water Sciences, Beijing Normal University, Beijing 100875, PR China
| | - Hongbo Xi
- Research Center of Water Pollution Control Technology, Chinese Research Academy of Environmental Sciences, Beijing 100012, PR China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environment Sciences, Beijing 100012, PR China
| | - Yuexi Zhou
- Research Center of Water Pollution Control Technology, Chinese Research Academy of Environmental Sciences, Beijing 100012, PR China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environment Sciences, Beijing 100012, PR China; College of Water Sciences, Beijing Normal University, Beijing 100875, PR China.
| | - Liya Fu
- Research Center of Water Pollution Control Technology, Chinese Research Academy of Environmental Sciences, Beijing 100012, PR China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environment Sciences, Beijing 100012, PR China; School of Environment, Tsinghua University, Beijing 100084, PR China
| | - Xin Xing
- Research Center of Water Pollution Control Technology, Chinese Research Academy of Environmental Sciences, Beijing 100012, PR China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environment Sciences, Beijing 100012, PR China; School of Environment, Tsinghua University, Beijing 100084, PR China
| | - Changyong Wu
- Research Center of Water Pollution Control Technology, Chinese Research Academy of Environmental Sciences, Beijing 100012, PR China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environment Sciences, Beijing 100012, PR China
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