Study on operation efficiency and microbial community structure of sulfur-based autotrophic denitrification system
MA Xiao-ran1, ZHENG Zhao-ming1, BIAN Wei2, LI Jun1, ZHOU Rong-xuan1, YANG Jing-yue1
1. The College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China; 2. China Energy Investment Corporation, Beijing 100011, China
Abstract:The sulfur-based autotrophic denitrification reactor was set up and its denitrification performance was evaluated in this study. The denitrification activity of the sludge was determined by batch tests, and the microbial community structure was revealed by scanning electron microscopy(SEM) and high-throughput sequencing. The influent NO3--N concentration of the reactor operated with sequencing batch mode was 80mg/L. The autotrophic denitrification performance increased with the hydraulic retention time (HRT) gradually shortened from 12h to 6h, the total inorganic nitrogen(TIN) removal efficiency and the average TIN removal loading rate of the reactor during the stable period were 99.1% and 0.158kg N/(m3·d), respectively. The maximum NO2--N concentration during the SBR cycle was 13.3mg/L, the pH value decreased from 7.38 to 6.94 during the reduction process from NO3--N to NO2--N, and the pH value remained stable during the process of reducing NO2--N to N2. The batch test results showed that the NO3--N removal rate of sulfur autotrophic denitrifying bacteria and heterotrophic denitrifying bacteria were 0.515and 0.196kg N/(kg VSS·d), respectively, and the NO2--N removal rate of sulfur autotrophic denitrifying bacteria was 0.117kg N/(kg VSS·d), the sludge had both autotrophic denitrification activity and heterotrophic denitrification activity. SEM images showed that both rod-shaped bacteria and spherical bacteria were observed in the sludge. The dominant sulfur autotrophic denitrifying bacteria in the sludge were Thiobacillus, Sulfurimonas and Thermomonas, with relative abundance of 14.5%, 7.6% and 6.0%, respectively.
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MA Xiao-ran, ZHENG Zhao-ming, BIAN Wei, LI Jun, ZHOU Rong-xuan, YANG Jing-yue. Study on operation efficiency and microbial community structure of sulfur-based autotrophic denitrification system. CHINA ENVIRONMENTAL SCIENCECE, 2020, 40(10): 4335-4341.
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