Prediction of sludge volume index bulking using image analysis and neural network at a full-scale activated sludge plant

2015 ◽  
Vol 57 (37) ◽  
pp. 17195-17205 ◽  
Author(s):  
Halime Boztoprak ◽  
Yüksel Özbay ◽  
Dünyamin Güçlü ◽  
Murat Küçükhemek
Keyword(s):  
Neural Network ◽  
Image Analysis ◽  
Activated Sludge ◽  
Full Scale ◽  
Volume Index ◽  
Sludge Volume Index

Monitoring activated sludge settling properties using image analysis

2004 ◽  
Vol 50 (7) ◽  
pp. 281-285 ◽  
Author(s):  
R. Jenné ◽  
E.N. Banadda ◽  
I.Y. Smets ◽  
J.F. Van Impe
Keyword(s):  
Image Analysis ◽  
Activated Sludge ◽  
Volume Index ◽  
Filament Length ◽  
Sludge Volume Index ◽  
Filamentous Bulking ◽  
Sludge Properties ◽  
Fully Automatic ◽  
The One ◽  
Sludge Settling

The goal of this study is to develop a monitoring system for activated sludge properties, as this is an essential tool in the battle against filamentous bulking. A fully automatic image analysis procedure for recognising and characterising flocs and filaments in activated sludge images has been optimised and subsequently used to monitor activated sludge properties in a lab-scale installation. The results of two experiments indicate that the image information correlates well with the Sludge Volume Index. It is shown that, at the onset of filamentous bulking, there is an increase in total filament length on the one hand, and a change in floc shape on the other hand.

Automated monitoring of activated sludge in a pilot plant using image analysis

2001 ◽  
Vol 43 (7) ◽  
pp. 91-96 ◽  
Author(s):  
M. da Motta ◽  
M. N. Pons ◽  
N. Roche
Keyword(s):  
Image Analysis ◽  
Wastewater Treatment ◽  
Activated Sludge ◽  
Size Distribution ◽  
Wastewater Treatment Plant ◽  
Pilot Plant ◽  
Settling Velocity ◽  
Treatment Plant ◽  
Volume Index ◽  
Sludge Volume Index

An automated procedure for the characterisation by image analysis of the morphology of activated sludge has been used to monitor the biomass in a pilot wastewater treatment plant, in complement to the usual settleability (sludge volume index, settling velocity) and size distribution (by laser granulometry) measurements.

The Rheology and Pumping of Thickened Activated Sludge

1983 ◽  
Vol 15 (1) ◽  
pp. 59-76 ◽  
Author(s):  
Ian H Rose-Innes ◽  
Steven Nossel
Keyword(s):  
Activated Sludge ◽  
Sewage Treatment ◽  
Full Scale ◽  
Volume Index ◽  
Waste Activated Sludge ◽  
Sludge Volume Index ◽  
Rotational Viscometer ◽  
Sewage Treatment Plants ◽  
Flow Behaviour Index ◽  
Behaviour Index

The rheology of waste activated sludge (WAS) and of humus and digested sludges taken from full scale sewage treatment plants at solids concentrations between 1,5% and 9% (g/g) was investigated using a rotational viscometer. The results indicated that all the sludges behaved as pseudoplastic thixotropic fluids. The pseudo-plastic parameters, fluid consistency index K and flow behaviour index n, were related to concentration, and in the case of WAS to the sludge volume index (SVI). Concentration and SVI were found to be the most important variables. These relationships allow the prediction of resistency to flow in pipelines of WAS with various SVI values and of humus and digested sludges, within the range of solids concentrations tested.

scholarly journals Microscopic Image Analysis versus Sludge Volume Index to Monitor Activated Sludge Bioflocculation: A Case Study

2013 ◽  
Vol 48 (10) ◽  
pp. 1433-1441 ◽  
Author(s):  
J. Van Dierdonck ◽  
R. Van den Broeck ◽  
A. Vansant ◽  
J. Van Impe ◽  
I. Smets
Keyword(s):  
Image Analysis ◽  
Activated Sludge ◽  
Volume Index ◽  
Microscopic Image ◽  
Sludge Volume Index ◽  
Microscopic Image Analysis

Activated sludge image analysis system: monitoring settleability and effluent clarity

2005 ◽  
Vol 52 (10-11) ◽  
pp. 193-199 ◽  
Author(s):  
R. Jenné ◽  
E.N. Banadda ◽  
I.Y. Smets ◽  
A. Bamelis ◽  
L. Verdickt ◽  
...  
Keyword(s):  
Image Analysis ◽  
Activated Sludge ◽  
Suspended Solids ◽  
Analysis Procedure ◽  
Volume Index ◽  
Image Analysis System ◽  
Sludge Volume Index ◽  
Analysis System ◽  
The One

A fully automized image analysis procedure is presented for fast and reliable characterization of the activated sludge composition. In previous research, relations between filament abundance and floc shape on the one hand, and the Sludge Volume Index on the other hand were sought. This work aims at demonstrating the use of the image analysis information as an indication for the amount of suspended solids in the effluent.

On-line measurements of settling characteristics in activated sludge

1997 ◽  
Vol 36 (4) ◽  
pp. 307-312
Author(s):  
Michael R. Rasmussen ◽  
Torben Larsen
Keyword(s):  
Activated Sludge ◽  
Settling Velocity ◽  
Continuous Measurement ◽  
Batch Reactor ◽  
Volume Index ◽  
Sludge Volume Index ◽  
Dynamic Variations ◽  
On Line ◽  
Settling Column ◽  
Settling Characteristics

An on-line settling column for measuring the dynamic variations of settling velocity of activated sludge has been developed. The settling column is automatic and self-cleansing insuring continuous and reliable measurements. The settling column was tested on sludge from a batch reactor where sucrose was added as an impulse to activated sludge. The continuous measurement of settling velocity revealed a highly dynamic response after the sucrose was added. The results were verified with simultaneous measurement of the initial settling rate. A 200 hour experiment showed variations in settling velocity, which was not apparent in the DSVI (Diluted Sludge Volume Index).

Settling Characteristics of Activated Sludge in Danish Treatment Plants with Biological Nutrient Removal

1994 ◽  
Vol 29 (7) ◽  
pp. 157-165 ◽  
Author(s):  
Gert Holm Kristensen ◽  
Per Elberg Jørgensen ◽  
Per Halkjær Nielsen
Keyword(s):  
Activated Sludge ◽  
Nutrient Removal ◽  
Volume Index ◽  
Biological Nutrient Removal ◽  
Sludge Volume Index ◽  
Filamentous Microorganisms ◽  
Best Parameter ◽  
One Year ◽  
Sludge Settling ◽  
Settling Characteristics

In 1989-91, a study was performed to investigate the settling characteristics of activated sludge in Danish treatment plants with biological nutrient removal. The study included three screening series on 38 treatment plants. Furthermore, the study included investigations during one year on seasonal variations in sludge settling characteristics at three treatment plants. The screening investigations were performed in November 1989 and May and September, 1990. Results showed that in the May-screening, 35-45% of the plants had a filament index of 2-2.5 or above, corresponding to a sludge volume index above 150 ml/g. When comparing data for diluted and non-diluted sludge volume indices, a SVI value of 150 ml/g seemed parallel to a DSVI of 110 ml/g. In the November- and September-screenings, some 30% of the plants had activated sludge showing a filament index in or above the critical area. Dominating filamentous microorganisms were found to be (in decreasing order): Microthrix parvicella, Type 0041, Type 021N, Type 0092, Type 0914, and Type 1851. A distinct variation over the year in sludge settling characteristics was found for the three plants. Sludge settling characteristics improved during summer, and deteriorated during winter. For activated sludge with a high content of filamentous microorganisms, the best parameter to follow the variations in sludge settling properties was the filament number. If the activated sludge concentration, the MLSS, varied significantly, the specific filament number was to be applied.

Application of image analysis in activated sludge to evaluate correlations between settleability and features of flocs and filamentous species

2009 ◽  
Vol 59 (10) ◽  
pp. 2029-2036 ◽  
Author(s):  
A. Arelli ◽  
L. Luccarini ◽  
P. Madoni
Keyword(s):  
Image Analysis ◽  
Activated Sludge ◽  
Nutrient Deficiency ◽  
Domestic Wastewater ◽  
Threshold Value ◽  
Pilot Scale ◽  
Volume Index ◽  
Morphological Parameters ◽  
Treatment Processes ◽  
Sludge Properties

Digital image analysis is a useful tool to estimate some morphological parameters of flocs and filamentous species in activated sludge wastewater treatment processes. In this work we found the correlation between some morphological parameters and sludge volume index (SVI). The sludge was taken from a pilot—scale activated sludge plant, owned by ENEA, located side stream to the Trebbo di Reno (Bologna, Italy) municipal WWTP and fed by domestic wastewater. In order to use image analysis, we developed a correct method to acquire digital microbiological observations and to obtain images altogether representative of the sludge properties. We identified and assessed the parameters needed to estimate the settleability of the sludge and evaluated the morphological filamentous features. It is known that several conditions (i.e. low F/M, nutrient deficiency, low dissolved oxygen) select specific filamentous species and their excessive growth decrease floc-forming/filaments ratio, correspond to the worse settleability properties; we found a relationship between the relative abundance of filamentous species and SVI. We also evaluated the fractal dimension parameter (FD) and determined a threshold value useful to distinguish between the “weak” and “firm” floc and we found a correlation between FD and SVI.

Impact of septic compounds and operational conditions on the microbiology of an activated sludge system

2007 ◽  
Vol 55 (6) ◽  
pp. 135-142 ◽  
Author(s):  
Carl Pelletier ◽  
Mary Ann Fitzsimmons ◽  
Sophie Deschênes ◽  
Michael Paice
Keyword(s):  
Activated Sludge ◽  
Digital Imaging ◽  
Volume Index ◽  
Operating Parameters ◽  
Sludge Volume Index ◽  
Sulphur Compounds ◽  
Operational Conditions ◽  
Volatile Organic ◽  
Volatile Organic Acids ◽  
Reduced Sulphur Compounds

In activated sludge (AS) biotreatment, septic compounds such as volatile organic acids and reduced sulphur compounds have been frequently cited as a major cause of Thiothrix and Type 021N filamentous bulking. These filaments are common in Canadian pulp and paper biotreatment systems, where they cause settling problems in secondary clarifiers. We conducted a 14-week study of a TMP/newsprint mill effluent to characterize the septic compounds entering the biotreatment, and to determine correlations with AS biomass characteristics and biotreatment operating parameters. A significant correlation was found between the sludge volume index, the abundance of Type 021N, and the propionic acid (PA) concentration in the primary clarified effluent. PA also induced a significant change in the flocculating bacteria size distribution determined by digital imaging. Consequently, the correlation observed between PA and Type 021N bulking is an indirect effect of inhibition of floc-forming microorganisms, giving a competitive advantage to filaments.

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