Record Display for the EPA National Library Catalog

RECORD NUMBER: 390 OF 751

OLS Field Name OLS Field Data
Main Title Metals Distributions in Activated Sludge Systems.
Author Patterson, J. W. ; Kodukula, P. S. ;
CORP Author Illinois Inst. of Tech., Chicago.;Robert S. Kerr Environmental Research Lab., Ada, OK.
Year Published 1984
Report Number EPA-R-806582; EPA/600/J-84/125;
Stock Number PB85-113959
Additional Subjects Activated sludge process ; Metals ; Mathematical models ; Water pollution control ; Pilot plants ; Concentration(Composition) ; Industrial waste treatment ; Reprints ; Heavy metals
Holdings
Library Call Number Additional Info Location Last
Modified
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Status
NTIS  PB85-113959 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 06/23/1988
Collation 10p
Abstract
This project developed models to predict the distribution of metals in activated sludge system process streams. The data used to develop the models were obtained through extended pilot studies from a previous project. The objectives of the study were to evaluate the effects of wastewater and plant operational variables on the distribution of selected metals between the soluble and solid phases of the process streams of a conventional activated sludge system, and to develop an empirical model which describes the metals distribution in the individual treatment system process streams. The patterns of metals transport across the treatment systems were extremely interesting. The range of concentrations for each metal was quite broad, reflecting the combination of natural fluctuations in the influent metals levels, and the dosing with mixtures of metals in the laboratory. There was a reduction in the average total metal concentration across the primary clarifier. The difference between the total and soluble metals concentration is the concentration of solids-bound metal. The total concentrations of metals in the mixed liquids are much higher than in the raw waste, typically by 5- to 10-fold. Two empirical metals distribution models have been developed which are believed to be generally acceptable. Both models accurately predict the distribution of process stream metals between the soluble and solid phases.