Pollution of water sources with emerging contaminants (micropollutants) is a fact known worldwide. Although the risks of micropollutants in sources of water are partly recognized, interpretation of consequences are controversial; thus, the future effects of altered water with micropollutants remains uncertain and may constitute a point of concern for human beings when potable water consumption is involved. Therefore, many drinking water utilities target as an important goal high-quality drinking water production to lessen quality considerations that may arise from the consumers. In this thesis, by means of the use of multivariate data analysis techniques, removal quantification is effectively determined and more understanding of the separation of micropollutants by membranes is achieved.
Table of Contents
1. Introduction; 2. Theoretical Background; 3. Removal of PhACs and DECs by Membranes; 4. Effects of NOM and Surrogate Foulants on the Removal of Emerging Organic Contaminants; 5. QSAR approach for Modelling and Prediction of Rejections of Organic Solutes; 6. Data-driven Modelling Applying QSAR and ANN; 7. Implementation of NF as a Robust Barrier for Organic Contaminants during Water Reuse Applications; 8. Recommendations.