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Author:

Li Dong (Li Dong.) (Scholars:李冬) | Yang Jing-Wei (Yang Jing-Wei.) | Li Yue (Li Yue.) | Li Shuai (Li Shuai.) | Zhang Shi-Rui (Zhang Shi-Rui.) | Wang Wen-Qiang (Wang Wen-Qiang.) | Zhang Jie (Zhang Jie.)

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Abstract:

Mature aerobic granular sludge was inoculated at room temperature in an anaerobic/aerobic alternating continuous flow system. The system consisted of two independent anaerobic and aerobic tanks. Actual domestic sewage was used as the influent to explore the influence of the gas intensity and hydraulic residence time on the continuous flow system. The results revealed that the conditions of a reflux ratio of 2, lower aeration intensity (0.6 mL·min-1), and proper hydraulic residence time (9 h) were more conducive to the removal of pollutants. Under such conditions, the average removal rate of TP was 80.43%, the average removal rate of TN was 83.6%, the average removal rate of COD was 90.39%, the sludge concentration was approximately 2100 mg·L-1, the sludge volume index was maintained below 50 mL·g-1, and the particle size was 700-800 nm. The EEM-PARAFAC model was used to characterize and analyze the EPS at different stages. The results revealed that changing the parameters could change the composition of EPS. The hydraulic residence time had a greater impact on the continuous flow system than the aeration intensity. In addition, a preliminary conceptual reaction process model in the anaerobic/aerobic alternating continuous flow system was built using high-throughput pyrosequencing and phylogenetic assignment. Eleven major functional bacteria related to nitrogen and phosphorus removal were found in the system.

Keyword:

anaerobic and aerobic alternate parallel factor analysis preliminary conceptual reaction process model continuous flow aerobic granular sludge nitrogen and phosphorus removal

Author Community:

  • [ 1 ] [Li Dong]Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Yang Jing-Wei]Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Li Yue]Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Li Shuai]Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 5 ] [Zhang Shi-Rui]Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 6 ] [Wang Wen-Qiang]Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 7 ] [Zhang Jie]Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing 100124, China

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Source :

Huanjing kexue

ISSN: 0250-3301

Year: 2021

Issue: 5

Volume: 42

Page: 2385-2395

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 7

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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