الفهرس 
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Abstract
A simple experimental set-up was used to study the treatability aspect of phenolic wastewater. Three types of reactor systems: i) activated sludge system, ii) activated sludge and active carbon system; and iii) active carbon system were experimented under different phenol shock loading. Phenol toxic effect on biomass was also investigated. Experimental results showed that under different phenol shock loads (100, 200, 300, and 400 nig/1). The A.S + GAC reactor gave the highest COD and phenol % removal comparing with the other 2 systems. Results showed that increasing phenol shock loading had an adverse effect on treatment efficiency for all cases.
Respirometric analysis indicated .that, for A.S reactor,
Respirometric
decreased from 2.75 d~’ at 0.0 mg/1 phenol concentration to 1.62 d”1 at 200 mg/1 phenol concentration. Increasing phenol shock load to 400 mg/1 resulted in decreasing uAH to only 0.39 d” . In order to confirm these results, the toxic effect was measured by following the fraction of SOUR loss between the sludge with zero phenol and the sludge dosed with phenol. Results obtained indicated an increasing of toxicity effect from 0.5 at phenol concentration of 200 mg/1 to 0.73 at phenol concentration of 400 mg/1.
An application of mathematical diffusion model into spherical particles was used to study a finite bath reactor solving for the amount of solute adsorbed per gram of sorbent. The model was used to look at the efficiency of removal of phenol by A.C using 1 litter flask. The model was verified by using laboratory data where phenol was used as a sorbate and GAC (AquaSorb1N12000) was used as a sorbent. Experiments were conducted to determine Langmuir equilibrium coefficients (a and Xm). The variable studied in this laboratory work was sorbate concentration. Pore and surface diffusion coefficients were determined using the model. The model can be used to delineate relationships whifch cannot be known from laboratory data, or even to look at the effect of different conditions on the efficiency of pollutant removal. The results of the model showed good agreement with the laboratory data.