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Practical design equations for trickling‐filter process
Author(s) -
Kong M. F.,
Yang P. Y.
Publication year - 1979
Publication title -
biotechnology and bioengineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.136
H-Index - 189
eISSN - 1097-0290
pISSN - 0006-3592
DOI - 10.1002/bit.260210305
Subject(s) - trickling filter , hydraulic retention time , activated sludge , effluent , volume (thermodynamics) , chemistry , filter (signal processing) , substrate (aquarium) , chromatography , pulp and paper industry , sewage treatment , environmental engineering , environmental science , thermodynamics , biology , engineering , ecology , physics , electrical engineering
The concept of solid retention time (SRT) was applied in the trickling‐filter process. A rational model of the trickling‐filter process employing activated‐sludge‐process operational parameters was presented. The design equation was developed as follows; 1/ SRT = [( S 0 − S n )/ X ]·( F / V )· Y − k d , where SRT is the sludge retention time, S 0 is the influent substrate concentration; S n is the effluent substrate concentration; X is the total cell mass retained per unit filter volume; V is the total volume of the filter; F is the influent flow rate; Y is the cell yield, and k d is the cell decay rate. A laboratory‐scale trickling‐filter pilot plant treating synthetic sucrose waste‐water was studied to verify the present design equation. The solid retention time was evaluated from the total slime mass (active and inactive) retained and the sludge wasted daily. It was found that the present design equation could be applied for designing the trickling‐filter process by the application of SRT employed in the activated sludge process. Also, the SRT could be related to the hydraulic loading and influent substrate concentration for a given filter medium. The variation of SRT by the hydraulic loading at constant organic loading was observed and could be expressed by the mechanistic model. When SRT was maintained more than 12 days, it provided the highest five‐day biological oxygen demand (BOD 5 ) removal, minimum sludge production, and lowest sludge volume index (SVI) value. The present model does include both microbial growth kinetic concepts, which can be more practical and meaningful for the design of a trickling filter.