Dias Edgard, Ebdon James, Taylor Huw
The Environment and Public Health Research Group (EPHReG), School of Environment and Technology, University of Brighton, Lewes Road, Brighton, BN2 4GJ, UK E-mail:
Water Sci Technol. 2015;71(9):1382-8. doi: 10.2166/wst.2015.086.
This study proposes that calculating and interpreting removal coefficients (K20) for bacteriophages in activated sludge (AS) and trickling filter (TF) systems using stochastic modelling may provide important information that may be used to estimate the removal of phages in such systems using simplified models. In order to achieve this, 14 samples of settled wastewater and post-secondary sedimentation wastewater were collected every 2 weeks, over a 6-month period (May to November), from two AS and two TF systems situated in southern England. Initial results have demonstrated that the removal of somatic coliphages in both AS and TF systems is considerably higher than that of F-RNA coliphages, and that AS more effectively removes both phage groups than TF. The results have also demonstrated that K20 values for phages in AS are higher than in TF, which could be justified by the higher removal rates observed in AS and the models assumed for both systems. The research provides a suggested framework for calculating and predicting removal rates of pathogens and indicator organisms in wastewater treatment systems using simplified models in order to support integrated water and sanitation safety planning approaches to human health risk management.
本研究提出，使用随机模型计算和解释活性污泥（AS）和滴滤池（TF）系统中噬菌体的去除系数（K20），可能会提供重要信息，这些信息可用于使用简化模型估计此类系统中噬菌体的去除情况。为了实现这一目标，在6个月期间（5月至11月），每两周从位于英格兰南部的两个AS系统和两个TF系统收集14份沉淀废水和二次沉淀后废水样本。初步结果表明，AS和TF系统中体细胞噬菌体的去除率均远高于F-RNA噬菌体，并且AS比TF更有效地去除这两种噬菌体群体。结果还表明，AS中噬菌体的K20值高于TF，这可以通过AS中观察到的较高去除率以及两个系统所采用的模型来解释。该研究提供了一个建议框架，用于使用简化模型计算和预测废水处理系统中病原体和指示生物的去除率，以支持综合水与环境卫生安全规划方法来进行人类健康风险管理。
