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Effects of aeration control strategies on nitrous oxide emissions in alternating anoxic-oxic sequencing batch reactor systems.
Ma, Xiao; Yang, Wei; Zhao, Haixiao; Tan, Qian.
Affiliation
  • Ma X; Guangdong Basic Research Center of Excellence for Ecological Security and Green Development, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, 510006, China; Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Educa
  • Yang W; Department of Ecological Sciences and Engineering, Chongqing University, Chongqing, 400045, China.
  • Zhao H; Guangdong Basic Research Center of Excellence for Ecological Security and Green Development, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, 510006, China; Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Educa
  • Tan Q; Guangdong Basic Research Center of Excellence for Ecological Security and Green Development, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou, 510006, China; Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Educa
Environ Res ; 260: 119591, 2024 Jul 11.
Article in En | MEDLINE | ID: mdl-39002633
ABSTRACT
Reducing N2O emissions is key to controlling greenhouse gases (GHG) in wastewater treatment plants (WWTPs). Although studies have examined the effects of dissolved oxygen (DO) on N2O emissions during nitrogen removal, the precise effects of aeration rate remain unclear. This study aimed to fill this research gap by investigating the influence of dynamic aeration rates on N2O emissions in an alternating anoxic-oxic sequencing batch reactor system. The emergence of DO breakthrough points indicated that the conversion of ammonia nitrogen to nitrite and the release of N2O were nearly complete. Approximately 91.73 ± 3.35% of N2O was released between the start of aeration and the DO breakthrough point. Compared to a fixed aeration rate, dynamically adjusting the aeration rates could reduce N2O production by up to 48.6%. Structural equation modeling revealed that aeration rate and total nitrogen directly or indirectly had significant effects on the N2O production. A novel regression model was developed to estimate N2O production based on energy consumption (aeration flux), water quality (total nitrogen), and GHG emissions (N2O). This study emphasizes the potential of optimizing aeration strategies in WWTPs to significantly reduce GHG and improve environmental sustainability.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Environ Res Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Environ Res Year: 2024 Document type: Article