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Predicting removal efficiency of reverse osmosis membranes with respect to emerging substances of concern using a discriminant function analysis
Title
Predicting removal efficiency of reverse osmosis membranes with respect to emerging substances of concern using a discriminant function analysis.
Creator
Pleitez Herrera, Fernando J., College of Engineering and Computer Science, Department of Civil, Environmental and Geomatics Engineering
Abstract/Description
This paper presents the results of the spike tests performed in the alternative water supply pilot testing program for the City of Pembroke Pines. It establishes the effectiveness of a protocol that can be used to gain further insight on the rejection capacities of RO membranes. An in-depth study of the molecular descriptors affecting rejection by RO membranes is presented and used in the development of a discriminant function analysis. This analysis proved to be an effective way to predict...
Show moreThis paper presents the results of the spike tests performed in the alternative water supply pilot testing program for the City of Pembroke Pines. It establishes the effectiveness of a protocol that can be used to gain further insight on the rejection capacities of RO membranes. An in-depth study of the molecular descriptors affecting rejection by RO membranes is presented and used in the development of a discriminant function analysis. This analysis proved to be an effective way to predict the passage of Emerging Substances of Concern (ESOCs) through RO membrane. Further, a principal component (PC) analysis was performed to determine which factors accounted the largest variation in RO permeability. Additionally, this paper defines the groundwork for a discriminant analysis model that, if further developed, could serve as an important tool to predict the rejection capabilities of RO treatment when handling with ESOCs.
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Date Issued
2012
PURL
http://purl.flvc.org/FAU/3355869
Subject Headings
Membranes (Technology), Water, Purification, Reverse osmosis process, Industrial water supply, Water, Pollution, Chemoinformatics
Format
Document (PDF)