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Author:

Li, Dong (Li, Dong.) | Wang, Kai-Lu (Wang, Kai-Lu.) | Zhu, Yan-Jun (Zhu, Yan-Jun.) | Lü, Heng-Kang (Lü, Heng-Kang.) | Zhang, Jie (Zhang, Jie.)

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EI

Abstract:

In this work, a novel model was established to optimize the C/N in the aerobic section based on the regulation of the influent distribution ratio of each aerobic section, using pre-decarbonized wastewater and municipal wastewater as target wastewater. This work was aiming at achieving the stable operation of the partial nitrification-anammox (PN/A) process under realistic conditions. Four groups of sequential batch reactors (SBR) with the same specifications run in oxic/anoxic/oxic/anoxic (O/A/O/A) mode, R1, R2, R3, and R4 operated in the step-feed mode with the influent distribution ratios (pre-decarbonized wastewater: municipal wastewater) of 1:0, 2:1, 1:1, and 1:2. The results illustrated that R1failed to realize the PN/A process and total nitrogen removal efficiency (NRE) was only 60.2%. Along with the decreasing influent distribution ratio, R2, R3, and R4 completed the PN/A process on the 34th, 30th, and 36th days, which NRE reaching 71.8%, 80.3%, and 74.1%. Among them, R3 had the optimized performance with best stability, and the contribution of anammox reaching 83.9%. It was revealed that sludge exhibited excellent settling characteristics and optimal particle size. Moreover, high-throughput data also demonstrated the abundance of ammonia-oxidizing bacteria (Nitrosomonas) and anammox bacteria (Candidatus_Kuenenia) at 2.74% and 12.17%. These microbial populations synergized effectively with aerobic heterotrophic bacteria (AHB). Hence, the step-feed model could be conductive to achieve a stable PN/A process. The influent distribution ratio of 1:1was suggested as a suitable reference value, fostering better enrichment and balance of functional microorganisms. © 2024 Chinese Society for Environmental Sciences. All rights reserved.

Keyword:

Wastewater treatment Particle size Aerobic bacteria Nitrogen removal Batch reactors Ammonia

Author Community:

  • [ 1 ] [Li, Dong]Beijing Key Laboratory of Water Quality Science and Water Environment Restoration Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Wang, Kai-Lu]Beijing Key Laboratory of Water Quality Science and Water Environment Restoration Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Zhu, Yan-Jun]Beijing Key Laboratory of Water Quality Science and Water Environment Restoration Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Lü, Heng-Kang]Beijing Key Laboratory of Water Quality Science and Water Environment Restoration Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Zhang, Jie]Beijing Key Laboratory of Water Quality Science and Water Environment Restoration Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 6 ] [Zhang, Jie]State Key Laboratory of Urban Water Resource and Environment, Harbin University of Technology, Harbin; 150090, China

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Source :

China Environmental Science

ISSN: 1000-6923

Year: 2024

Issue: 7

Volume: 44

Page: 3672-3681

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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