scholarly journals Selection of methods for activated sludge bulking control using a molecular biology technique combined with respirometric tests

2016 ◽  
Vol 3 ◽  
pp. 187-193
Author(s):  
Aleksandra Miłobędzka ◽  
Adam Muszyński
Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 1941 ◽  
Author(s):  
Bartosz Szeląg ◽  
Jakub Drewnowski ◽  
Grzegorz Łagód ◽  
Dariusz Majerek ◽  
Ewa Dacewicz ◽  
...  

The paper presented the methodology for the construction of a soft sensor used for activated sludge bulking identification. Devising such solutions fits within the current trends and development of a smart system and infrastructure within smart cities. In order to optimize the selection of the data-mining method depending on the data collected within a wastewater treatment plant (WWTP), a number of methods were considered, including: artificial neural networks, support vector machines, random forests, boosted trees, and logistic regression. The analysis conducted sought the combinations of independent variables for which the devised soft sensor is characterized with high accuracy and at a relatively low cost of determination. With the measurement results pertaining to the quantity and quality of wastewater as well as the temperature in the activated sludge chambers, a good fit can be achieved with the boosted trees method. In order to simplify the selection of an optimal method for the identification of activated sludge bulking depending on the model requirements and the data collected within the WWTP, an original system of weight estimation was proposed, enabling a reduction in the number of independent variables in a model—quantity and quality of wastewater, operational parameters, and the cost of conducting measurements.


1998 ◽  
Vol 38 (8-9) ◽  
pp. 1-8 ◽  
Author(s):  
Youngchul Kim ◽  
Wesley O. Pipes ◽  
Paul-Gene Chung

A full scale experiment with an activated sludge process in a pharmaceutical manufacturing plant showed that the operation of two settling tanks in series, with the first tank full of sludge, resulted in selection of sludge particles which had a lower than average filament content for retention in the process. Series operation of the two clarifiers was very successful in controlling sludge bulking. The functioning of the settling tanks as selectors of sludge particles which settle and thicken well has not been considered to any great extent. Two laboratory-scale activated sludge plants fed with an artificial wastewater were operated to explore this selection function further. The SVI values were measured and assessed. At the start of operation, the SVI was about 60–80 ml/g in both of the parallel and the series plants. After eight days of the operation, the SVI started to increase rapidly in the parallel plant, and in twenty days of operation, the averaged values of SVI were 163 ml/g and 116 ml/g for the parallel and the series plants, respectively. On day 38, MLSS from two aeration tanks were interchanged. In a few days after that interchange, the SVI values in the parallel, which was originally in the series mode, rapidly increased from 130 ml/g to more than 350 ml/g(SV30 = 930 ml/g). This experiment clearly supports the hypothesis of a microorganism selection function of the settling tank and also corresponds to the results obtained from the field study.


1989 ◽  
Vol 21 (6-7) ◽  
pp. 609-619 ◽  
Author(s):  
Y.-J. Shao ◽  
David Jenkins

Laboratory and pilot plant experiments on anoxic selector activated sludge systems were conducted on two wastewaters in some cases supplemented with nitrate, acetate or glucose. To prevent bulking sufficient anoxic selector detention time and nitrate levels must be available to reduce selector effluent soluble COD to below 100 mg/l and to reduce readily metabolizable organic matter to virtually zero (< 1 mg/l). Soluble COD/NO3-N removal stoichiometry is in the range 6.0-6.7. Selector systems have elevated soluble substrate removal and denitrification rates compared to CSTR systems. These rates are not affected greatly by temperature (20-25°C) for CSTR sludges but are for selector sludges. Upon exhaustion of nitrate in a selector soluble COD leaks out of the activated sludge in significant amounts. Thiothrix sp. and type 021N denitrify only to NO2 and at much slower rates than Zoogloearamigera does to N2. A sequencing batch system provides an optimistic estimate of the SVI that can be obtained by an anoxic selector system.


2007 ◽  
Vol 41 (19) ◽  
pp. 4349-4356 ◽  
Author(s):  
Andrew J. Schuler ◽  
David Jassby

1992 ◽  
Vol 25 (6) ◽  
pp. 215-230 ◽  
Author(s):  
David Jenkins

The physiological properties of filamentous and floc-forming microorganisms found in activated sludge are reviewed. From this review four model microorganisms - two floc formers and two filamentous organisms - are proposed for use in an activated sludge model that predicts activated sludge “quality”.


1998 ◽  
Vol 38 (3) ◽  
pp. 281-289 ◽  
Author(s):  
S. Isaacs ◽  
D. Thornberg

A rule based control strategy for automatically adjusting phase lengths and aeration intensity for an activated sludge nutrient removal process based on a periodic operation is examined using simulations based on the Activated Sludge Model No. 1. The strategy is based on four criterion functions, two which determine the switching of the roles of two nitrifying/denitrifying reactors and two which adjust the dissolved oxygen setpoint levels in the two reactors as functions of ammonia and nitrate concentrations. Trajectory plots of reactor concentrations in the ammonia-nitrate plane are shown to be a useful means of visualizing process and control performance. Together, the trajectories from a working region in the ammonia-nitrate plane, the size and location of which can to some extent be predetermined by selection of the criterion functions. The presented results include the influence of one of the criterion functions on control strategy performance, how an incompatibility between two criterion functions can lead to unsymmetric reactor loading, and the effect of allowing simultaneous nitrification and denitrification during nitrifying periods by reducing the dissolved oxygen level as ammonia is consumed.


2019 ◽  
Vol 07 (03) ◽  
pp. 44-51
Author(s):  
Jesús Reyna-Figueroa ◽  
María Fernanda Rodríguez-Sánchez ◽  
Pilar Miyoko Martínez Matsumoto ◽  
Federico Javier Ortiz-Ibarra ◽  
Ana Elena Limón-Rojas

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