Department of Frontier Sciences for Advanced Environment, Graduate School of Environmental Studies, Tohoku University, Aoba 6-6-06, Aramaki, Aoba-ku, Sendai, Miyagi 980-8579, Japan.
Key Laboratory of Northwest Water Resource, Ecology and Environment, Ministry of Education, Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China.
Water Res. 2021 Jan 1;188:116522. doi: 10.1016/j.watres.2020.116522. Epub 2020 Oct 14.
The increasing pressure on the global water supply calls for more advanced solutions with higher efficiency and better sustainability, leading to the promptly developing water reclamation and reuse schemes including treatment technologies and risk management strategies where microbial safety is becoming a crucial aspect in the interest of public health. Backed up by the development of membrane technology, membrane bioreactors (MBR) have received substantial attention for their superiority over conventional treatment methods in many ways and are considered promising in the water reclamation realm. This review paper provides an overview of the efforts made to manage and control the potential waterborne viral disease risks raised by the use of effluent from MBR treatment processes, including the mechanisms involved in the virus removal process and the attempts to model the dynamics of the removal process. In principle, generalized and integrated virus removal models that provide insight into real-time monitoring are urgently needed for advanced real-time control purpose. Future studies of approaches that can well handle the inherent uncertainty and nonlinearity of the complex removal process are crucial to the development and promotion of related technologies.
全球水资源供应的压力不断增加，需要更先进、效率更高、更可持续的解决方案，这促使包括处理技术和风险管理策略在内的水资源回收和再利用计划迅速发展，而微生物安全性则成为公众健康利益的关键方面。在膜技术发展的支持下，膜生物反应器（MBR）因其在许多方面优于传统处理方法而受到广泛关注，被认为在水回收领域具有广阔的前景。本文综述了为管理和控制使用 MBR 处理工艺产生的废水可能带来的水传播病毒疾病风险所做的努力，包括病毒去除过程中涉及的机制以及对去除过程动力学进行建模的尝试。从原则上讲，为了实现先进的实时控制目的，迫切需要能够深入了解实时监测的广义和综合病毒去除模型。未来对能够很好地处理复杂去除过程固有不确定性和非线性的方法的研究，对于相关技术的发展和推广至关重要。
