Functional selection of bacteria in an activated sludge reactor for application in saline wastewater treatment in Kerkennah, Tunisia

2020 ◽  
Author(s):  
I. Boujelben ◽  
S. Sabri ◽  
J. van Pelt ◽  
M. ben Makhlouf ◽  
R. Gdoura ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Activated Sludge ◽  
Saline Wastewater ◽  
Activated Sludge Reactor ◽  
Selection Of

The use of computational fluid dynamics (CFD). Technique for evaluating the efficiency of an activated sludge reactor

1999 ◽  
Vol 39 (10-11) ◽  
pp. 329-332 ◽  
Author(s):  
A. B. Karama ◽  
O. O. Onyejekwe ◽  
C. J. Brouckaert ◽  
C. A. Buckley
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Wastewater Treatment ◽  
Activated Sludge ◽  
Wastewater Treatment Plants ◽  
Computational Techniques ◽  
Activated Sludge Reactor ◽  
Computational Fluid Dynamics Cfd ◽  
The Cost ◽  
New Generation

Adequate models for wastewater treatment are limited by the cost of constructing them. Many a time, studies carried out on wastewater treatment plants have not been very useful in enhancing their performance. As a result, numerous mathematical models presented by different researchers on sedimentation tanks and clarifiers have not been getting much attention. Recently, improvement in computers and computational techniques have led to the development of a new generation of highly efficient programs for simulating real fluid flow within any type of geometry including clarifiers and activated sludge reactors. Herein, a computational fluid dynamics code, PHOENICS, is used to determine the performance of an anaerobic zone in an activated sludge reactor. Plausible results were achieved when experimental data were compared with numerical results.

scholarly journals Artificial Neural Network as a Virtual Sensor of Nitrate Nitrogen (V) Concentration in an Activated Sludge Reactor

2020 ◽  
Vol 30 (4) ◽  
pp. 188-200
Author(s):  
Lesław Płonka
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Wastewater Treatment ◽  
Activated Sludge ◽  
Input Data ◽  
Nitrate Nitrogen ◽  
Wastewater Treatment Plants ◽  
Network Training ◽  
Activated Sludge Reactor ◽  
Artificial Neural

Abstract The paper discusses the use of an artificial neural network to control the operation of wastewater treatment plants with activated sludge. The task of the neural network in this case is to calculate (predict) the readings of the probe measuring the concentration of nitrate nitrogen (V) in one of the biological reactor tanks. Neural networks are known for their ability to universal approximation of virtually any relationship, including the function of many variables, but the process of “training” the network requires the presentation of many sets of input data and corresponding expected results. This is a difficulty in the case of wastewater treatment plants, because some key process parameters are usually not measured online (samples are taken and measurements are taken in the laboratory), and even if they are, the time intervals are large. Bearing in mind the aforementioned difficulty, this work uses a set of input data consisting only of information that can be measured with measuring probes. As a result of the conducted experiments a high compliance of the probe’s prediction with the expected values was obtained. The paper also presents data preparation and the network “training” process.

scholarly journals Removal of organic micropollutants in the biological units of a Swedish wastewater treatment plant

2021 ◽  
Vol 1209 (1) ◽  
pp. 012016
Author(s):  
C Burzio ◽  
E Nivert ◽  
A Mattsson ◽  
O Svahn ◽  
F Persson ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Activated Sludge ◽  
Nutrient Removal ◽  
Wastewater Treatment Plant ◽  
Treatment Plant ◽  
Organic Micropollutants ◽  
Trickling Filters ◽  
Biofilm Reactors ◽  
Micropollutant Removal ◽  
Activated Sludge Reactor

Abstract The present study investigates the presence and removal of target organic micropollutants in a large Swedish wastewater treatment plant designed for nutrient removal including activated sludge, trickling filters, nitrifying moving bed biofilm reactors (MBBRs) and post-denitrifying MBBRs. A total of 28 organic micropollutants were analysed, at concentrations ranging from few ng/L to µg/L, in the influent and effluent of the different biological reactors in two sampling campaigns. The observed micropollutant removal efficiencies of the wastewater treatment plant varied from insignificant (< 20%) to high (> 90%) between compounds. The activated sludge reactor, being the first in line, contributed to most of the removal from the water phase. Additional removal of a few compounds was observed in the biofilm units, but most of the persistent compounds remained stable through all biological treatments.

scholarly journals The potential of denitrification for the stabilization of activated sludge processes affected by low alkalinity problems

2007 ◽  
Vol 50 (2) ◽  
pp. 329-337 ◽  
Author(s):  
Heike Hoffmann ◽  
Tatiana Barbosa da Costa ◽  
Delmira Beatriz Wolff ◽  
Christoph Platzer ◽  
Rejane Helena Ribeiro da Costa
Keyword(s):  
Wastewater Treatment ◽  
Activated Sludge ◽  
Wastewater Treatment Plants ◽  
Ammonia Concentration ◽  
Denitrification Rate ◽  
Activated Sludge Reactor ◽  
Denitrification Activity ◽  
Activated Sludge Processes

In this study, the problems provoked by nitrification of wastewater with low alkalinity were analyzed in a pilot sequencing batch activated sludge reactor (SBR). Decrease in pH resulted in disappearence of protozoa. De-flocculation of the activated sludge floc started below pH 6.5, resulting in enhanced effluent turbidity and loss of bacteria. Nitrification efficiency was affected below pH 6.2. The denitrification activity was not sufficient to keep up the pH, due to a low C/N ratio of the wastewater. Based on alkalinity and ammonia concentration of the wastewater and the necessary denitrification rate to prevent operational problems, was developed a prognostic diagram. The applicability of this diagram was tested for the SBR with excellent results. The diagram could be applied to optimize the operation of wastewater treatment plants affected by problems with low alkalinity wastewater.

DESIGN PLANNING WASTEWATER TREATMENT PLANT OF NATA DE COCO INDUSTRY WITH THE ACTIVATED SLUDGE PROCESS

2016 ◽  
Vol 9 (2) ◽  
Author(s):  
Dinda Rita K. Hartaja ◽  
Imam Setiadi
Keyword(s):  
Waste Water ◽  
Wastewater Treatment ◽  
Activated Sludge ◽  
Waste Water Treatment ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Appropriate Technology ◽  
Waste Water Treatment Plant ◽  
Activated Sludge Process ◽  
High Level

Generally, wastewater of nata de coco industry contains suspended solids and COD were high, ranging from 90,000 mg / l. The high level of of the wastewater pollutants, resulting in nata de coco industry can not be directly disposed of its wastewater into the environment agency. Appropriate technology required in order to process the waste water so that the treated water can meet the environmental quality standards that are allowed. Designing the waste water treatment plant that is suitable and efficient for treating industrial wastewater nata de coco is the activated sludge process. Wastewater treatment using activated sludge process of conventional (standard) generally consists of initial sedimentation, aeration and final sedimentation.Keywords : Activated Sludge, Design, IPAL

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