![]() ![]() In addition, remaining tasks for wider implementation of NF membrane in water reuse was also discussed, which covers monitoring strategies, fouling index for diverse effluent organic matter, and needs for CEC rejection database. However, uncharged small hydrophilic CEC such as N-Nitrosodimethylamine (NDMA) can easily pass through NF membranes, therefore requiring downstream treatment such as UV-advanced oxidation process (AOP) to further treat such CEC. While NF membrane separation efficiency for CEC varies based upon water chemistries such as pH and ionic strength, physical properties of membrane, and chemical properties of CEC, charged and/or hydrophobic CEC with large molecular weight can be effectively retained by NF membranes. In this chapter, nanofiltration (NF) membrane as a means of more cost-effective separation method for the attenuation of CEC was overviewed. Reverse osmosis (RO) membrane has been widely used as a barrier for contaminants of emerging concerns (CEC) and pathogens in water reuse. Snyder, in Contaminants of Emerging Concern in Water and Wastewater, 2020 Abstract Salt passage was found to be highly affected by feed water conductivity and feed flow rate was determined to be the most influential parameter for the permeate flow rate and pressure difference. Considering the developed models, temperature was found to be the variable affecting all three RO performance parameters. The methods that can predict salt passage, permeate flow rate and pressure difference among membranes with the highest accuracy were found as ANNs, random forest and MLR, respectively. XGBoost, random forest, artificial neural networks (ANNs) and multiple linear regression (MLR) were employed to predict three RO membrane performance indicators (pressure difference across membranes, salt passage and permeate flow rate). The aim of this study is to analyse the influence of feed characteristics of municipal wastewater (conductivity, oxidation reduction potential (ORP), total suspended solids (TSS), turbidity and chemical oxygen demand (COD)) and operational parameters (feed pressure, flow rate and temperature) on RO membrane performance in a municipal wastewater recovery plant using machine learning (ML) techniques. ![]() RO membrane performance is affected by many different factors such as feed characteristics and operational parameters during operation. Reverse osmosis (RO) membranes play a key role in wastewater treatment units as they are used to remove salts and other pollutants effectively. Ömer Çağlar, in Computer Aided Chemical Engineering, 2021 Abstract
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