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Orthophosphate is an intermediate product of the biological denitrification process of phosphorus aggregation, which affects the activity of denitrifying phosphorus aggregating bacteria (DPAOs) in competition with other heterotrophic bacteria for carbon sources. In this study, four groups of sequencing batch reactors (SBRs) were operated with various endogenous orthophosphate regulating techniques utilizing synthetic water as influent after being inoculated with flocculent activated sludge.The study aimed to investigate the effects of different endogenous orthophosphate regulation methods on the enrichment of denitrifying phosphorus accumulating bacteria (DPAOs) and granulation. The results showed that the granular sludge operated with endogenous orthophosphate effluent reflux exhibited better nitrogen and phosphorus removal efficiency, higher DPAO activity, and good particle sedimentation performance.In particular, compared to granular sludge systems operated in microaerobic mode, those operated in anaerobic/microaerobic (AO) mode demonstrated superior pollutant treatment performance, with COD, TN, and TP removal efficiencies reaching 92.57%, 94.7%, and 97.62%, respectively. This was attributed to multiple factors, such as endogenous orthophosphate stimulation, the synergistic effect of DPAOs and denitrifying glycans bacteria (DGAOs).Periodic regulation of endogenous orthophosphate in the system resulted in a significant increase in the internal carbon source conversion rate of sludge, enhanced activities of DPAOs and DGAOs, and inhibition of heterotrophic denitrifying bacteria (DOHOs). Under a longer cycle operation mode, ammonia oxidizing bacteria (AOB) and DPAOs interacted, while also inhibiting the growth of other heterotrophic microorganisms. The findings of this study provide theoretical support for the practical engineering application of simultaneous short-range nitritation-denitritation phosphorus removal (SPNDPR) process. © 2023 Chinese Society for Environmental Sciences. All rights reserved.
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China Environmental Science
ISSN: 1000-6923
Year: 2023
Issue: 10
Volume: 43
Page: 5139-5147
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: 7
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