Assessment of organic micropollutants rejection by forward osmosis system using interpretable machine learning-assisted approach: A new perspective on optimization of multifactorial forward osmosis process
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Process Chemistry and Technology,Pollution,Waste Management and Disposal,Chemical Engineering (miscellaneous)
Reference65 articles.
1. Analysing organic micropollutant accumulation in closed loop FO–RO systems: a pilot plant study;D’Haese;J. Membr. Sci.,2021
2. Occurrence, toxicity impacts and mitigation of emerging micropollutants in the aquatic environments: Recent tendencies and perspectives;Bhatt;J. Environ. Chem. Eng.,2022
3. Pharmaceuticals in the aquatic environment: a critical review of the evidence for health effects in fish;Corcoran;Crit. Rev. Toxicol.,2010
4. Organoarsenic feed additives in biological wastewater treatment processes: removal, biotransformation, and associated impacts;Tang;J. Hazard. Mater.,2021
5. Enhanced degradation of pharmaceuticals and personal care products (PPCPs) by three-dimensional electrocatalysis coupled biological aerated filter;Guo;J. Environ. Chem. Eng.,2021
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