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Author:

Li, Dong (Li, Dong.) | Chai, Chen-Xu (Chai, Chen-Xu.) | Li, Shuai (Li, Shuai.) | Zhang, Fu-Dan (Zhang, Fu-Dan.) | Zhang, Jie (Zhang, Jie.)

Indexed by:

EI

Abstract:

A sequencing batch reactor and a continuously stirred tank reactor were used to start the bacterial-algal symbiotic granular sludge system for the investigation into the impact of different operation modes, including the differences in algal content, pollutant removal performance and microorganisms in the two systems. The results showed that the spatial distribution of algae in the bacterial-algal symbiotic granular sludge was different in the two operation modes, and the algae in the SBR system acted the inner layer and the bacteria were mainly distributed in the outer layer, and the granules were more likely to disintegrate when the external environment changed. While the algae in the CSTR system were uniformly distributed throughout the granules, and the filamentous bacteria were able to act as a skeletal network to trap suspended algae and bacteria in the granulation process, which facilitated the enrichment of algae and rapid granulation of sludge. The removal pathway of total inorganic nitrogen differed between the two modes of operation, which was dominated by functional bacteria in the SBR system, while dominated by algae assimilation in the CSTR system due to the inhibition of nitrite oxidizing bacteria with better removal efficiency. The removal rates of chemical oxygen demand, total phosphorus and total inorganic nitrogen in the CSTR system were about 96%, 96% and 60% at the end of the experiment. The microbial communities were different between the two modes of operation, with more algal species and higher abundance in the CSTR system and more functional bacteria in the SBR system. © 2023 Chinese Society for Environmental Sciences. All rights reserved.

Keyword:

Chemical oxygen demand Nitrogen removal Spatial distribution Granular materials Nitrogen Granulation Bacteria Algae Batch reactors

Author Community:

  • [ 1 ] [Li, Dong]Key Laboratory of Beijing Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Chai, Chen-Xu]Key Laboratory of Beijing Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Li, Shuai]Key Laboratory of Beijing Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Zhang, Fu-Dan]Key Laboratory of Beijing Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Zhang, Jie]Key Laboratory of Beijing Water Quality Science and Water Environment Recovery Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 6 ] [Zhang, Jie]State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin; 150090, China

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Source :

China Environmental Science

ISSN: 1000-6923

Year: 2023

Issue: 9

Volume: 43

Page: 4718-4727

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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