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Overview of Methods

Robustness of our plate settler design is defined as the ability of the plate settlers to produce 1 NTU water over a variety of non-ideal conditions. One set of non-ideal conditions was building a floc blanket with underdoses and overdoses of alum to measure performance through effluent turbidity from the tube settler.

In these experiments the alum dosage supplied to the flocculation system was varied in order to study how properties of flocs and the floc blanket affect the effluent turbidity produced by the tube settler. The influent water in our system had a turbidity of 100 NTU. Varying alum doses were then added to this influent.

The experimental set-up is identical to the one used in Spring 2009, and from our results we hoped to analyze velocity gradient thresholds and possibly investigate how changing influent water chemistry affects the setter's efficiency.

The alum dosage significantly affects flocculation, and thus plays a direct role in the success of the system (in the future, cite someone here either Matt, Ian's, or Monroe's fractal floc paper). The properties of floc particles combined with upflow velocity in the floc blanket will have a direct impact on effluent performance in the tube settlers (cite Matt's thesis here).

Other non-ideal conditions that should be investigated are organic matter in the influent, varying influent turbidities, and other changes, such as pH, in the chemistry of the water.

Plate settler spacing is an important factor in determining the height of the plant clarifiers. Theoretically, if we could find a way to maximize their performance at the lower-limit of spacing and height it would be possible to decrease height of the sedimentation tank and lower plant costs. (This paragraph is out of place. Please put it in the appropriate spot)

In these experiments the alum dosage supplied to the flocculation system was varied in order to study how properties of flocs and the floc blanket affect the effluent turbidity produced by the tube settler. The experimental set-up is identical to the one used in Spring 2009, and from our results we hoped to analyze velocity gradient thresholds and possibly investigate how changing influent water chemistry affects the setter's efficiency.

The influent water in our system has a turbidity of 100 NTU. Varying alum doses were then added to this influent. The alum dosage significantly affects flocculation, and thus plays a direct role in the success of the system.

Alum Dosing Theory

Results and Discussion

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