School of Engineering, Rankine Building, University of Glasgow, Glasgow, UK.
School of Engineering, Rankine Building, University of Glasgow, Glasgow, UK.
Water Res. 2014 Sep 15;61:141-51. doi: 10.1016/j.watres.2014.05.008. Epub 2014 May 22.
Previous laboratory-scale studies to characterise the functional microbial ecology of slow sand filters have suffered from methodological limitations that could compromise their relevance to full-scale systems. Therefore, to ascertain if laboratory-scale slow sand filters (L-SSFs) can replicate the microbial community and water quality production of industrially operated full-scale slow sand filters (I-SSFs), eight cylindrical L-SSFs were constructed and were used to treat water from the same source as the I-SSFs. Half of the L-SSFs sand beds were composed of sterilized sand (sterile) from the industrial filters and the other half with sand taken directly from the same industrial filter (non-sterile). All filters were operated for 10 weeks, with the microbial community and water quality parameters sampled and analysed weekly. To characterize the microbial community phyla-specific qPCR assays and 454 pyrosequencing of the 16S rRNA gene were used in conjunction with an array of statistical techniques. The results demonstrate that it is possible to mimic both the water quality production and the structure of the microbial community of full-scale filters in the laboratory - at all levels of taxonomic classification except OTU - thus allowing comparison of LSSF experiments with full-scale units. Further, it was found that the sand type composing the filter bed (non-sterile or sterile), the water quality produced, the age of the filters and the depth of sand samples were all significant factors in explaining observed differences in the structure of the microbial consortia. This study is the first to the authors' knowledge that demonstrates that scaled-down slow sand filters can accurately reproduce the water quality and microbial consortia of full-scale slow sand filters.
先前的实验室规模研究在表征慢砂滤池功能微生物生态方面存在方法学限制,这可能影响其与实际系统的相关性。因此,为了确定实验室规模慢砂滤池(L-SSFs)是否能够复制工业运行的实际规模慢砂滤池(I-SSFs)的微生物群落和水质生产情况,构建了八个圆柱形 L-SSFs,并使用来自与 I-SSFs 相同来源的水进行处理。一半的 L-SSFs 砂床由来自工业滤池的无菌砂(无菌)组成,另一半则直接取自同一工业滤池的砂(非无菌)。所有滤池运行 10 周,每周采样和分析微生物群落和水质参数。为了表征微生物群落,使用了基于 16S rRNA 基因的属特异性 qPCR 测定和 454 焦磷酸测序,并结合了一系列统计技术。结果表明,有可能在实验室中模拟实际规模滤池的水质生产和微生物群落结构——除了 OTU 之外,在所有分类学分类水平上都可以模拟——从而可以将 LSSF 实验与实际装置进行比较。此外,研究还发现,构成滤床的砂类型(无菌或非无菌)、所产生的水质、滤池的年龄和砂样的深度都是解释微生物群落结构观察到的差异的重要因素。这项研究是作者所知的首次证明缩小规模的慢砂滤池能够准确复制实际规模慢砂滤池的水质和微生物群落的研究。