Novel Stokesian Metrics that Quantify Collision Efficiency, Floc Strength, and Discrete Settling Behavior
Novel parameters were developed to predict the effluent quality and settling behavior in clarifiers that cannot conventionally be achieved using either the conventional flux theory or overflow rates. Simple batch experiments based on the critical settling velocity (CSV) selection were used as the...
Veröffentlicht in: | Water environment research : a research publication of the Water Environment Federation. - 1998. - 89(2017), 7 vom: 01. Juli, Seite 586-597 |
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Weitere Verfasser: | , , , , |
Format: | Online-Aufsatz |
Sprache: | English |
Veröffentlicht: |
2017
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Zugriff auf das übergeordnete Werk: | Water environment research : a research publication of the Water Environment Federation |
Schlagworte: | Journal Article Sewage Water Pollutants, Chemical Water 059QF0KO0R |
Zusammenfassung: | Novel parameters were developed to predict the effluent quality and settling behavior in clarifiers that cannot conventionally be achieved using either the conventional flux theory or overflow rates. Simple batch experiments based on the critical settling velocity (CSV) selection were used as the basis for the development of three novel parameters: intrinsic settling classes (ISC), threshold of flocculation/flocculation limitation (TOF/α), and floc strength. ISC was proven to accurately (±2%) determine the granule fraction and discrete particle distribution. TOF quantified the minimum solids concentration needed to form large flocs and was directly linked to collision efficiency. In hybrid systems, an exponential fitting on a CSV matrix was proposed to quantify the collision efficiency of flocs (α). Shear studies were conducted to quantify floc strength. The methods were applied to a wide spectrum of sludge types to show the broad applicability and sensitivity of the novel methods |
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Beschreibung: | Date Completed 14.09.2017 Date Revised 14.09.2017 published: Print Citation Status MEDLINE |
ISSN: | 1554-7531 |
DOI: | 10.2175/106143017X14902968254494 |