Pilot plant experiments were conducted to assess statistically the contribution of filter design variables on the performance and ultimate filter loading capacity of gravel downflow roughing filters.
|Title||Assessing roughing filtration design variables|
|Publication Type||Journal Article|
|Year of Publication||1994|
|Authors||Collins, MR, Cole, JO, Westersund, CM, Paris, DB|
|Pagination||p. SS 5.29 - 5.40: 9 fig., 11 tab.|
|Keywords||algae, design, downflow roughing filtration, filtration media, gravel, models, particle size, pilot plants, pretreatment, removal, sedimentation, suspended solids removal, usa|
Pilot plant experiments were conducted to assess statistically the contribution of filter design variables on the performance and ultimate filter loading capacity of gravel downflow roughing filters. Filter length, gravel size, and hydraulic loading rate were found to be the principal roughing filter design variables. Mineral particles similar to K-clay were influenced in order by filter length, media size, and filter length. Organic particulate similar to Scenedesmus algae were influenced in order by hydraulic loading rate, media size and hydraulic loading rate. Ultimate filter load capacities developed similar trends. Except for gravel size when treating algae, all of the design variables exerted a linear effect on roughing filter performance thereby supporting the use of multilinear regressions to model the influence of the principal design variables. Sedimentation was confirmed to be a principal transport process for particulate removal in gravel roughing filters. Algae additions to the filter influent aggregated K-clay into destabilized particulates that were removed more effectively by gravel media filtration than K-clay alone.