College of Environmental Science and Engineering, Taiyuan University of Technology, Taiyuan, 030024, China; Innovation Center for Postgraduate Education in Municipal Engineering of Shanxi Province, Taiyuan, 030024, China.
College of Environmental Science and Engineering, Taiyuan University of Technology, Taiyuan, 030024, China; Innovation Center for Postgraduate Education in Municipal Engineering of Shanxi Province, Taiyuan, 030024, China.
J Environ Manage. 2021 Feb 15;280:111649. doi: 10.1016/j.jenvman.2020.111649. Epub 2020 Nov 10.
Process optimization is essential for improving the efficiency of anaerobic ammonium oxidation (anammox) process in a practical application. In this study, an anaerobic sequence biofilm batch reactor (AnSBBR) inoculated with aerobic activated sludge was chosen as an efficient mainstream anammox reactor for treating low-nitrogen wastewater. To optimize the AnSBBR-anammox process, eight different operation stages lasting for a total of 215 days were conducted by regulating key process parameters. Principal components analysis revealed significant effects of the substrate ratio (SR) and volumetric exchange ratio (VER) on anammox performance, while other parameters (cycle time, hydraulic retention time and nitrogen loading rate) played minor roles. The highest removal efficiencies for ammonia and total nitrogen, respectively, reached 99.8% and 95.3% under optimal conditions. High-throughput sequencing found the anammox species Candidatus Brocadia and Candidatus Kuenenia made up as much as 8.5% and 3.5%, respectively, of the microbial community. Redundancy analysis indicated that these taxa were also greatly influenced by operating parameters, particularly SR and VER. This research helps to decode the correlations among nitrogen removal capacity, process parameters and the microbial community to enhance anammox in an AnSBBR system.
过程优化对于提高实际应用中厌氧氨氧化（Anammox）工艺的效率至关重要。在本研究中，选择接种好氧活性污泥的厌氧序批式生物膜批式反应器（AnSBBR）作为处理低氮废水的高效主流 Anammox 反应器。为了优化 AnSBBR-Anammox 工艺，通过调节关键工艺参数，进行了总共持续 215 天的八个不同操作阶段。主成分分析表明，基质比（SR）和体积交换比（VER）对 Anammox 性能有显著影响，而其他参数（周期时间、水力停留时间和氮负荷率）影响较小。在最佳条件下，氨和总氮的去除效率分别达到了 99.8%和 95.3%。高通量测序发现，Anammox 物种Candidatus Brocadia和Candidatus Kuenenia分别占微生物群落的 8.5%和 3.5%。冗余分析表明，这些分类群也受到操作参数，特别是 SR 和 VER 的极大影响。这项研究有助于解码氮去除能力、工艺参数和微生物群落之间的相关性，以增强 AnSBBR 系统中的 Anammox。
