Skip to main navigation Skip to search Skip to main content

Comparing the phenomenological and hydrodynamic modeling approaches for describing the rejection of emerging nonionic organic contaminants by a Nanofiltration membrane

  • Colorado School of Mines

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

As a barrier for emerging organic contaminants, integrated membrane systems using reverse osmosis or nanofiltration have been favored for drinking water augmentation projects using reclaimed water or other impaired water sources. Although these membranes are an efficient barrier to the majority of emerging trace organic chemicals, various organic solutes, especially non-ionic compounds, have been detected in membrane permeate samples. This study investigated the use of three models, the phenomenological, the hydrodynamic, and a newly developed geometric-hydrodynamic model, to describe the mass transport of non-ionic organic solutes during nanofiltration. For compounds not expected to display strong membrane interactions, the modeling approaches examined during this study can provide a good estimation of rejection as a function of permeate flux when the rejection performance of a given membrane is characterized.

Original languageEnglish
Title of host publicationContaminants of Emerging Concern in the Environment
Subtitle of host publicationEcological and Human Health Considerations
PublisherAmerican Chemical Society
Pages397-420
Number of pages24
ISBN (Print)9780841224964
DOIs
StatePublished - 2 Nov 2010
Externally publishedYes

Publication series

NameACS Symposium Series
Volume1048
ISSN (Print)0097-6156
ISSN (Electronic)1947-5918

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation

Fingerprint

Dive into the research topics of 'Comparing the phenomenological and hydrodynamic modeling approaches for describing the rejection of emerging nonionic organic contaminants by a Nanofiltration membrane'. Together they form a unique fingerprint.

Cite this