scholarly journals Modeling and Control of pH in Pulp and Paper Wastewater Treatment Process

2009 ◽  
Vol 01 (02) ◽  
pp. 122-127 ◽  
Author(s):  
Jiayu KANG ◽  
Mengxiao WANG ◽  
Zhongjun XIAO
Keyword(s):  
Wastewater Treatment ◽  
Treatment Process ◽  
Pulp And Paper ◽  
Wastewater Treatment Process ◽  
Modeling And Control ◽  
Paper Wastewater ◽  
And Control

Role of high molecular mass organics in colour formation during biological treatment of pulp and paper wastewater

2007 ◽  
Vol 55 (6) ◽  
pp. 191-198 ◽  
Author(s):  
C.B. Milestone ◽  
T.R. Stuthridge ◽  
R.R. Fulthorpe
Keyword(s):  
Molecular Mass ◽  
Biological Treatment ◽  
Treatment Process ◽  
Anaerobic Bacteria ◽  
High Molecular Mass ◽  
Pulp And Paper ◽  
Wastewater Treatment Process ◽  
Organic Constituents ◽  
Paper Wastewater

This paper forms part of series of biological treatment colour behaviour studies. Surveys across a range of mills have observed colour increases in aerated stabilisation basins of 20–45%. Much of the colour formation has been demonstrated to occur in high molecular mass effluent organic constituents (HMM) present in bleach plant effluents. Removing material greater than 3,000 Da essentially eliminated the colour forming ability in both E and D stage wastewaters. We have also shown that pulp and paper sludges contain anaerobic bacteria capable of reducing humic like materials. Colour formation was correlated to the anoxic conditions and the availability of readily biodegradable organic constituents during the wastewater treatment process. Overall, these studies suggest that colour formation in pulp and paper biological treatment systems may be caused by anaerobic bacteria using HMM material from the bleaching effluents as an electron acceptor for growth. This leads to the reduction of the material, which in turn leads to non-reversible internal changes, such as intra-molecular polymerisation or formation of chromophoric functional groups.

scholarly journals Data-driven prediction and control of wastewater treatment process through the combination of convolutional neural network and recurrent neural network

RSC Advances ◽  
2020 ◽  
Vol 10 (23) ◽  
pp. 13410-13419 ◽  
Author(s):  
Zhiwei Guo ◽  
Boxin Du ◽  
Jianhui Wang ◽  
Yu Shen ◽  
Qiao Li ◽  
...  
Keyword(s):  
Neural Network ◽  
Wastewater Treatment ◽  
Treatment Process ◽  
Network Models ◽  
Data Driven ◽  
Treatment Results ◽  
Neural Network Models ◽  
Wastewater Treatment Process ◽  
Prediction And Control ◽  
And Control

This work proposes a novel data-driven mechanism for prediction of wastewater treatment results through mixture of two neural network models.

Comparison of F-specific bacteriophage, enterococci, and faecal coliform densities through a wastewater treatment process employing oxidation ponds

1995 ◽  
Vol 31 (5-6) ◽  
pp. 85-89 ◽  
Author(s):  
S. J. Turner ◽  
G. D. Lewis
Keyword(s):  
Wastewater Treatment ◽  
Treatment Process ◽  
Faecal Coliform ◽  
Indicator Organisms ◽  
Faecal Coliforms ◽  
Wastewater Treatment Process ◽  
Oxidation Pond ◽  
Oxidation Ponds ◽  
Specific Bacteriophage

Over a 12 month period F-specific bacteriophages, faecal coliforms and enterococci were compared as microbial indicator organisms for the quality of a wastewater treatment (oxidation pond) system. Results suggest that enterococci may be the most useful indicator for oxidation pond systems.

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