2.内蒙古自治区环境污染控制与废物资源化重点实验室,呼和浩特 010021
1.School of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China
2.Inner Mongolia Key Laboratory of Environmental Pollution Control & Waste Resource Reuse, Hohhot 010021, China
)条件下,分别以连续式和间歇式方式运行,采用高通量测序,基于直系同源蛋白簇基因(COGs),对16S rRNA扩增子测序结果进行功能预测,来表征微生物菌群结构和微生物功能的变化。结果表明:系统总氮负荷为(227±13) mg·(L·d)
菌丰度出现明显升高。进一步分析可知,在适量的有机物条件下,间歇式运行能够获得更好的厌氧氨氧化与反硝化协同处理效果。本研究结果可为污水处理厂的实际运行提供参考。
In order to investigate the effect of operation modes on the nitrogen removal performance and microbial community structure of anaerobic ammonia oxidation system, an anaerobic moving bed biofilm reactor was established, which was operated in a continuous flow mode and a batch mode at constant temperature of (25±1) ℃ and low substrate of TN≤60 mg·L
, respectively, used high-throughput sequencing, and based on cluster of orthologous groups of proteins (COGs) gene, 16S rRNA amplicon sequencing results were functionally predicted to characterize microbial flora structure and microbial function changes. The results showed that the nitrogen removal efficiency for the batch mode was 90.6%, which was higher than 74.6% for the continuous operation mode at the total nitrogen load of 227±13 mg·(L·d)
. And the relative abundance of anammox bacteria in biofilm was higher than that in the suspended sludge. When the continuous mode of the reactor changed to batch mode, the abundance of main functional genus
decreased, while the abundance of bacteria with partial denitrification function increased significantly. Through further analysis, the batch mode can obtain better synergistic treatment effect of anammox and denitrification than continuous mode with proper amount of organic matter. The study provides a reference for the actual operation of wastewater treatment plant.
.
Schematic diagram of Anammox system
Denitrification performance of reactors at different operating stages
COD负荷及去除负荷、AMX与DN的氮去除量及其对TN去除的贡献率
COD load and load removal, AMX and DN nitrogen removal and its contribution to TN removal
Taxonomic classification of microbial communities at the phylum level
Heat map of the core genera in the sludge samples in reactor with different operating modes
Prediction of the relative change rate of functional genes
Evaluation of microbial richness and diversity of DNA samples after the change of operation mode
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