In this research, several natural waters were filtered through four different types
of microfiltration (MF)/ultrafiltration (UF) membranes and observed flux declines were simulated by an empirical model
in order to identify characteristic coordinates that are responsible for significant flux
decline in low pressure membrane filtration.
A Pearson's correlation matrix was used for selecting characteristic coordinates
related to parameters (ka, kb, and kc) associated with an empirical model. Pearson's
correlation also revealed that significant flux decline over a short time frame (low
delivered DOC) is highly correlated to high MW components present in natural
organic matter (NOM) corresponding to a high MW peak measured by size exclusion
chromatography (SEC). Selected characteristic coordinates (high MW peak, SUVA
MWCO, membrane permeability, and contact angle) derived from NOM and membrane
characterization were expressed in multiple regression equations describing the three
model parameters.
From a general mathematical equation explaining a relationship between filtration
time and filtered volume, one source water exhibiting the highest flux decline showed
mostly cake formation as a fouling mechanism. The results indicate that significant flux
decline is caused by high MW components leading to formation of a cake layer. Includes tables, figures.
| Edition : | Vol. - No. |
| File Size : | 1
file
, 440 KB |
| Note : | This product is unavailable in Ukraine, Russia, Belarus |
| Number of Pages : | 14 |
| Published : | 03/01/2005 |
