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العنوان
Phenolic wastewater treatment /
الناشر
Walid Abd El Azim Ibrahim ,
المؤلف
Ibrahim, Walid Abd El Azim
الموضوع
Wastewater treatment
تاريخ النشر
2006
عدد الصفحات
150 p.:
الفهرس
Only 14 pages are availabe for public view

from 146

from 146

Abstract

A simple experimental set-up was used to study the treatability aspect of phenolic wastewater. Five types of systems: i) activated carbon system. (A.C), ii) anthracite system (ANTH), iii) activated sludge system (A.S), iv) activated sludge plus activated carbon system (A.S + A.C) and v) activated sludge plus anthracite system {A.S + ANTH) were experimented under different phenol loadings (100, 200 and 300 mg/1) and different flow rates (21.6 and 43.2 1/d) with initial COD concentration 500 mg/L Phenol toxic effect on biomass was also investigated. The A.S + A.C system gave the highest COD and phenol % removal comparing with the other four systems. Results showed that increasing phenol loading had an adverse effect on treatment efficiency for all cases.
An application of an adsorption packed-bed reactor model was used to study the efficiency of the removal of phenolic wastes. The1 model equations are a combination of Particle Kinetics and Transport Kinetics. The model predicts the relations between sorbate concentration and flow rate as variables with column depth at any time. The model was verified for Granular active carbon [AquaSorb M2000] and for Filtration anthracite [AMSI/AWWA 8100-96] as sorbents and phenol as sorbate through testing over a range of phenol concentrations (100-300 mg/1). Experiments were conducted to determine the Langumir equilibrium coefficients (a and Xm) and to determine the bulk sorbate solution concentration versus different adsorption column depths and different time as well. The model can predict any data, which is difficult or cannot be known from laboratory work. So the model can answer any questions which may be asked by engineers or column designers to help them for better and economic design. The results of the model showed good agreement with the laboratory data.