4.8 Review

Virus removal by membrane bioreactors: A review of mechanism investigation and modeling efforts

Journal

WATER RESEARCH
Volume 188, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.watres.2020.116522

Keywords

Membrane bioreactor; Virus removal modeling; HACCP; Soft-sensor approach; Process-driven modeling; Data-driven modeling

Funding

  1. Japan Science and Technology Agency (JST) through the Strategic International Collaborative Research Program (SICORP) [JPMJSC18H6]
  2. National Key Research and Development Program of China [2017YFE0127300]

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The increasing pressure on global water supply requires more advanced and sustainable solutions, with a focus on microbial safety for public health. Membrane bioreactors are gaining attention for their superiority in water reclamation, and efforts are being made to control waterborne viral disease risks, including developing real-time virus removal models for advanced monitoring and control purposes. Future studies need to address the uncertainty and nonlinearity inherent in the complex removal processes to further advance related technologies.
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. (C) 2020 The Authors. Published by Elsevier Ltd.

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