נגישות
menu      
חיפוש מתקדם
תחביר
חפש...
הספר "אוצר וולקני"
אודות
תנאי שימוש
ניהול
קהילה:
אסיף מאגר המחקר החקלאי
פותח על ידי קלירמאש פתרונות בע"מ -
Biofouling formation and modeling in nanofiltration membranes applied to wastewater treatment
Year:
2010
Source of publication :
Journal of Membrane Science
Authors :
מינץ, דרור
;
.
קאוטסקי, לריסה
;
.
Volume :
360
Co-Authors:
Ivnitsky, H., Faculty of Civil and Environmental Engineering and Grand Water Research Institute, Technion, IIT, Haifa, Israel
Minz, D., Institute of Soil, Water and Environmental Sciences, ARO, The Volcani Center, Bet-Dagan, Israel
Kautsky, L., Institute of Soil, Water and Environmental Sciences, ARO, The Volcani Center, Bet-Dagan, Israel
Preis, A., Faculty of Civil and Environmental Engineering and Grand Water Research Institute, Technion, IIT, Haifa, Israel
Ostfeld, A., Faculty of Civil and Environmental Engineering and Grand Water Research Institute, Technion, IIT, Haifa, Israel
Semiat, R., Faculty of Chemical Engineering and Grand Water Research Institute, Technion, IIT, Haifa, Israel
Dosoretz, C.G., Faculty of Civil and Environmental Engineering and Grand Water Research Institute, Technion, IIT, Haifa, Israel
Facilitators :
From page:
165
To page:
173
(
Total pages:
9
)
Abstract:
Biofouling development on nanofiltration membranes treating tertiary effluents was studied at low (5. bar) and high (25. bar) pressures at different feedwater concentrations, temperatures and lengths of operation. The bacterial community profile composing the biofouling layer was characterized. Most of the bacterial species identified were Gram-negative, with Proteobacteria (approximately equally divided between β, α and γ subdivisions) and Bacteroidetes being the prevalent groups. At high-pressure, scaling was the primary source of fouling whereas at low-pressure, biofouling was dominant. For these conditions, an empirical approach to forecasting the contribution of biofouling resistance to total resistance was derived based on the resistance in series theory. This approach showed that biofouling becomes a dominating factor after approximately 20. L of permeate volume has been produced. A data-driven modeling algorithm for forecasting the reduction in permeate flux due to biofouling was also established. The reduction in permeate flux rates was related to the development of a fouling layer on the membrane. Pressure, total organic carbon, pH and conductivity of the feedwater were the most influential parameters. These results are novel in the area of model tree algorithms as they apply to forecasting the development of biofouling on membranes. © 2010 Elsevier B.V.
Note:
Related Files :
Bacteriology
bacterium identification
Forecasting
membrane filter
Nanofiltration membranes
pH
Wastewater
wastewater treatment
עוד תגיות
תוכן קשור
More details
DOI :
10.1016/j.memsci.2010.05.007
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
20712
Last updated date:
02/03/2022 17:27
Creation date:
16/04/2018 23:38
You may also be interested in
Scientific Publication
Biofouling formation and modeling in nanofiltration membranes applied to wastewater treatment
360
Ivnitsky, H., Faculty of Civil and Environmental Engineering and Grand Water Research Institute, Technion, IIT, Haifa, Israel
Minz, D., Institute of Soil, Water and Environmental Sciences, ARO, The Volcani Center, Bet-Dagan, Israel
Kautsky, L., Institute of Soil, Water and Environmental Sciences, ARO, The Volcani Center, Bet-Dagan, Israel
Preis, A., Faculty of Civil and Environmental Engineering and Grand Water Research Institute, Technion, IIT, Haifa, Israel
Ostfeld, A., Faculty of Civil and Environmental Engineering and Grand Water Research Institute, Technion, IIT, Haifa, Israel
Semiat, R., Faculty of Chemical Engineering and Grand Water Research Institute, Technion, IIT, Haifa, Israel
Dosoretz, C.G., Faculty of Civil and Environmental Engineering and Grand Water Research Institute, Technion, IIT, Haifa, Israel
Biofouling formation and modeling in nanofiltration membranes applied to wastewater treatment
Biofouling development on nanofiltration membranes treating tertiary effluents was studied at low (5. bar) and high (25. bar) pressures at different feedwater concentrations, temperatures and lengths of operation. The bacterial community profile composing the biofouling layer was characterized. Most of the bacterial species identified were Gram-negative, with Proteobacteria (approximately equally divided between β, α and γ subdivisions) and Bacteroidetes being the prevalent groups. At high-pressure, scaling was the primary source of fouling whereas at low-pressure, biofouling was dominant. For these conditions, an empirical approach to forecasting the contribution of biofouling resistance to total resistance was derived based on the resistance in series theory. This approach showed that biofouling becomes a dominating factor after approximately 20. L of permeate volume has been produced. A data-driven modeling algorithm for forecasting the reduction in permeate flux due to biofouling was also established. The reduction in permeate flux rates was related to the development of a fouling layer on the membrane. Pressure, total organic carbon, pH and conductivity of the feedwater were the most influential parameters. These results are novel in the area of model tree algorithms as they apply to forecasting the development of biofouling on membranes. © 2010 Elsevier B.V.
Scientific Publication
You may also be interested in