将臭氧(O3)与生物活性碳(BAC)过滤耦合的处理系统作为较低的成本而受到关注。更可持续,无膜水回用方法。然而,对微生物群落是O3-BAC处理的基本驱动因素知之甚少。这项研究的目的是证明微生物群落分析作为评估功能的诊断工具,生物稳定性,和物理耦合的弹性,化学,中水回用处理中采用的高级氧化和生物工艺。我们利用16SrRNA基因扩增子测序来描绘细菌微生物群随着时间的推移,在使用凝血的可饮用再利用训练中,絮凝,沉降,臭氧化,BAC过滤,颗粒活性炭(GAC)吸附,和紫外线消毒。不同的基线微生物群与治疗的每个阶段相关(ANOSIM,p<0.05,r-stat=0.52),每个人都经历着时间和运营班次的连续。臭氧化导致了最急剧的变化(即,属水平相对丰度平均变化83.3%,当调节O3:TOC比值>1)时,还有方差,微生物群落组成。O3:TOC比率的调整,温度,助滤剂聚合物,一氯胺猝灭剂,空床接触时间也导致各个过程的基线微生物群落组成发生了可测量的变化,但程度较低。其中,氮和磷的补充导致了最强的分叉,特别是在居住在BAC(ANOSIM:p<0.05,BAC5r-stat=0.32;BAC10r-stat=0.54)和GAC(ANOSIM:p<0.05,GAC10r-stat=0.54;GAC20r-stat=0.63)单位的微生物群落中。此外,我们发现BAC微生物群落对微生物活性培养基的接种有反应,这导致改进的TOC去除。这项研究的结果提高了对高级水处理列车中细菌动力学的理解,并可以为改进的系统设计和操作提供信息。
Treatment trains that couple ozone (O3) with biologically active carbon (BAC) filtration are of interest as a lower cost, more sustainable, membrane-free approach to water reuse. However, little is known about the microbial communities that are the fundamental drivers of O3-BAC treatment. The objective of this study was to demonstrate microbial community profiling as a diagnostic tool for assessing the functionality, biological stability, and resilience of coupled physical, chemical, advanced oxidative and biological processes employed in water reuse treatment. We utilized 16S rRNA gene amplicon sequencing to profile the bacterial microbiota over time throughout a potable reuse train employing coagulation, flocculation, sedimentation, ozonation, BAC filtration, granular activated carbon (GAC) adsorption, and UV disinfection. A distinct baseline microbiota was associated with each stage of treatment (ANOSIM, p < 0.05, r-stat = 0.52), each undergoing succession with time and operational shifts. Ozonation resulted in the sharpest shifts (i.e., 83.3 % average change in Genus level relative abundances, when adjusted O3:TOC ratio > 1), and also variance, in microbial community composition. Adjustment in O3:TOC ratios, temperature, filter-aid polymer, monochloramine quenching agent, and empty-bed contact time also resulted in measurable changes in the baseline microbial community composition of individual processes, but to a lesser degree. Of these, supplementation of nitrogen and phosphorus resulted in the strongest bifurcation, especially in the microbial communities inhabiting the BAC (ANOSIM: p < 0.05, BAC5 r-stat = 0.32; BAC10 r-stat = 0.54) and GAC (ANOSIM: p < 0.05, GAC10 r-stat = 0.54; GAC20 r-stat = 0.63) units. Additionally, we found that the BAC microbial community was responsive to an inoculation of microbially active media, which resulted in improved TOC removal. The findings of this study improve understanding of bacterial dynamics occurring in advanced water treatment trains and can inform improved system design and operation.