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In this research, several natural waters were filtered through four different typesof microfiltration (MF)/ultrafiltration (UF) membranes and observed flux declines were simulated by an empirical modelin order to identify characteristic coordinates that are responsible for significant fluxdecline in low pressure membrane filtration.A Pearson's correlation matrix was used for selecting characteristic coordinatesrelated to parameters (ka, kb, and kc) associated with an empirical model. Pearson'scorrelation also revealed that significant flux decline over a short time frame (lowdelivered DOC) is highly correlated to high MW components present in naturalorganic matter (NOM) corresponding to a high MW peak measured by size exclusionchromatography (SEC). Selected characteristic coordinates (high MW peak, SUVAMWCO, membrane permeability, and contact angle) derived from NOM and membranecharacterization were expressed in multiple regression equations describing the threemodel parameters.From a general mathematical equation explaining a relationship between filtrationtime and filtered volume, one source water exhibiting the highest flux decline showedmostly cake formation as a fouling mechanism. The results indicate that significant fluxdecline is caused by high MW components leading to formation of a cake layer. Includes tables, figures.

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Edition: Vol. - No. Published: 03/01/2005 Number of Pages: 14File Size: 1 file , 440 KB