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A sequencing batch reactor (SBR) was used to start the completely autotrophic nitrogen removal over nitrite (CANON) process. The effects of long-term starvation stress and short-term starvation regulation on nitrogen removal were investigated. The activities of functional bacteria before and after short-term starvation were tested to analyze the inhibitory effect of repeated short-term starvation on nitrite oxidizing bacteria (NOB) under shortened recovery time.Microbial sequencing was conducted at different stages of CANON initiation process to analyze changes in community structure. The results show that the TN removal efficiency (NRE) of the system can reach 62.34% when the system is restored 7days after chronic starvation. The short-term starvation-recovery mode can accelerate the start-up speed of the process, and successfully control the ΔNO3--N/ΔNH4+-N in SBR between 0.11. The average removal rate of ammonia removal efficiency (ARE) exceeds 95% and the average NRE reaches 79.45%. After short-term starvation regulation, the NOB activity decreased from 91.32mgN/(gVSS·d) to 45.40mgN/(gVSS·d), and increased to 219.25mgN/(gVSS·d) compared with the anammox activity (SAA), ensuring the CANON nitrogen removal performance. High-throughput sequencing has shown that the Aerobic Ammonia-Oxidation Bacteria (AerAOB) functional bacterium Nitrosomonas can recover quickly after experiencing long-term starvation. Candidatus Kuenenia has the ability to resist long-term starvation, and the relative abundance of Candidatus Kuenenia is as high as 69.04% after 7days of recovery. The relative abundance of Candidatus Kuenenia decreased in the stable recovery, but reached 61.19% after the process was started, thus achieving the enrichment of Anaerobic Ammonia-Oxidation Bacteria (AnAOB). The CANON process was able to recover from long-term starvation stress, and short-term starvation regulation was beneficial for process efficiency. © 2023 Chinese Society for Environmental Sciences. All rights reserved.
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China Environmental Science
ISSN: 1000-6923
Year: 2023
Issue: 7
Volume: 43
Page: 3429-3437
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ESI Highly Cited Papers on the List: 0 Unfold All
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30 Days PV: 0
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