Modeling nutrient removal by membrane bioreactor at a sewage treatment plant using machine learning models

2022 ◽  
Vol 46 ◽  
pp. 102521
Author(s):  
Muhammad Yaqub ◽  
Wontae Lee
Keyword(s):  
Machine Learning ◽  
Nutrient Removal ◽  
Membrane Bioreactor ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Learning Models ◽  
Machine Learning Models

Prediction of effluent concentration in a wastewater treatment plant using machine learning models

2015 ◽  
Vol 32 ◽  
pp. 90-101 ◽  
Author(s):  
Hong Guo ◽  
Kwanho Jeong ◽  
Jiyeon Lim ◽  
Jeongwon Jo ◽  
Young Mo Kim ◽  
...  
Keyword(s):  
Machine Learning ◽  
Wastewater Treatment ◽  
Wastewater Treatment Plant ◽  
Treatment Plant ◽  
Learning Models ◽  
Effluent Concentration ◽  
Machine Learning Models

Possibilities for increased nutrient removal with a final filtration stage

1996 ◽  
Vol 33 (12) ◽  
pp. 147-153
Author(s):  
M. Rothman ◽  
J. Hultgren
Keyword(s):  
Activated Sludge ◽  
Nitrogen Removal ◽  
Nutrient Removal ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
High Concentrations ◽  
Winter Time ◽  
Filtration Stage

Bromma sewage treatment plant (STP) is one of three plants in Stockholm. To meet more stringent requirements for nutrient removal the plant has been extended with a final filtration stage. Earlier it has not been possible to operate the plant with nitrification during winter time. Bad settling properties of the activated sludge have led to bulking sludge and high concentrations of BOD and phosphorus in the effluent. With the filter stage it is now possible to reduce the load on the biological stage by by-passing part of the flow directly to the filters. The result has been very promising and it seems that the plant can meet the new demands for nitrogen removal without extension of the aerated volumes.

Study on the membrane bioreactor for treating surfactant wastewater

2018 ◽  
Vol 9 (2) ◽  
pp. 240-248 ◽  
Author(s):  
Zhilin Ran ◽  
Jia Zhu ◽  
Ke Li ◽  
Li Zhou ◽  
Pei Xiao ◽  
...  
Keyword(s):  
Membrane Bioreactor ◽  
Early Stage ◽  
Removal Rate ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Oxygen Demand ◽  
Optimal Level ◽  
Linear Alkylbenzene ◽  
Start Up

Abstract The main component of surfactant is linear alkylbenzene sulfonate (LAS), which is toxic to the ecological environment and can cause serious harm. In this study, some activated sludge was taken from the aerobic and anaerobic tank of a sewage treatment plant in Shenzhen, then cultivated and domesticated in a membrane bioreactor with artificial surfactant wastewater. The start-up phase of the reactor adapted the constant-flux filtration, and the HRT was 12 h. The pH was below 5.5, which needed the addition of NaHCO3 after 6 days to adjust to the more optimal level (pH 6.5–7.5). After operation for 20 days, the start-up of the system was considered successful. At the early stage, the removal rates of chemical oxygen demand (COD) and LAS were relatively stable, reaching as high as 85.49%–93.31% and 80%, respectively. When the LAS concentration reached over 175 mg/L and the COD declined to about 83%, the removal rate of LAS also significantly decreased. LAS removal rate further decreased to about 60% when the dosage reached 200 mg/L, indicating that the resistance of microorganisms against LAS toxicity was also limited. LAS degradation could have been mainly driven by Dechloromonas, Gemmata, Pseudomonas and Zoogloea in the system.

scholarly journals Preliminary Investigation of an Installed Pilot-Scale Biological Nutrient Removal Technology (BNRT) for Sewage Treatment

2021 ◽  
Vol 333 ◽  
pp. 12002
Author(s):  
Regina Damalerio ◽  
Aileen Orbecido ◽  
Michael Angelo Promentilla ◽  
Ramon Christian Eusebio ◽  
Liza Patacsil ◽  
...  
Keyword(s):  
Nutrient Removal ◽  
Preliminary Investigation ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Pilot Scale ◽  
Biological Nutrient Removal ◽  
Nitrogen And Phosphorus ◽  
Removal Technology ◽  
New Treatment

Water utilities, commercial and industrial establishments are required to upgrade or install new treatment systems to comply with the revised effluent standards issued by the Department of Environment and Natural Resources – Environment Management Bureau (DENR – EMB) which now includes removal and monitoring of nutrients (nitrogen and phosphorus components). One solution is to utilize a biological nutrient removal technology (BNRT) system capable of removing nutrients from sewage. The on-going study aims to investigate the performance of the pilot-scale system in the removal of nutrients from sewage. The designed pilot-scale anaerobic-anoxic-oxic (A2O) process with a total hydraulic retention time of 8.37 hrs. was operated in an existing sewage treatment plant (STP). System modification was adapted to ensure continuous operation. Dissolved oxygen (DO) and temperature of each compartment were evaluated after 45 days of system modification. The DO of the anaerobic and oxic compartment remained within the required range, while the internal recycling flowrate and/or aeration must be adjusted to achieve a DO concentration of 0.20 – 0.50 mg/L in the anoxic compartment. The research is financially supported by the Philippine Council for Industry, Energy and Emerging Technology Research and Development of the Department of Science and Technology (PCIEERD Project No. 04176).

Nutrient Removal in a 2-Stage Biological Sewage Treatment Plant

1992 ◽  
Vol 25 (4-5) ◽  
pp. 135-142
Author(s):  
E. Sickert
Keyword(s):  
Nutrient Removal ◽  
Combined Treatment ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Distribution Channel ◽  
Operating Conditions ◽  
Phosphorus Concentration ◽  
Legal Regulations ◽  
Excess Sludge

The Dradenau sewage treatment plant consists basically of a large activated sludge plant which supplements the treatment stages of the Köhlbrandhöft plant. Although built to mainly oxidize ammonia and despite unfavourable operating conditions - the different locations of the Köhlbrandhöft and Dradenau plants - considerable amounts of nitrogen have successfully been eliminated. Denitrification takes place in the distribution channel of the Dradenau plant and in one of the biological stages of the Köhlbrandhöft plant. This stage takes over the excess sludge from the Dradenau plant resulting in nitrifying - and denitrifying - part of the nitrogen load already here. There is an average overall reduction of 70 %. Simultaneous precipitation at the Köhlbrandhöft treatment plant reduces the phosphorus concentration in the effluent of the combined treatment plants Köhlbrandhöft/Dradenau to values recently set by legal regulations (1 mgP/l).

Evaluation of extremely shallow vertical subsurface flow constructed wetland for nutrient removal

2009 ◽  
Vol 59 (2) ◽  
pp. 295-301 ◽  
Author(s):  
T. Taniguchi ◽  
K. Nakano ◽  
N. Chiba ◽  
M. Nomura ◽  
O. Nishimura
Keyword(s):  
Removal Efficiency ◽  
Nitrogen Removal ◽  
Nutrient Removal ◽  
Phosphorus Removal ◽  
Sewage Treatment ◽  
Subsurface Flow ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Basic Nitrogen ◽  
Reed Bed

Mesocosm-scale vertical subsurface flow constructed wetlands (SSF, 0.5 m length, 0.3 m width) with different reed-bed thickness, including standard SSF (SD, 0.6 m deep), shallow SSF (S, 0.3 m deep) and extremely shallow SSF (ES, 0.075 m deep) were set up at sewage treatment plant and their nutrient removal efficiencies from the sewage plant effluent were compared under three hydraulic loading rate (HLR) conditions of 0.15, 0.45 and 0.75 m3 m−2 d−1. A very interesting characteristics was found for the extremely shallow SSF, in which a high nitrogen removal efficiency was obtained despite the effective hydraulic retention time was only 1/8 times as long as the standard SSF. The results of kinetic analysis confirmed that the high volumetric nitrogen removal efficiency observed in the extremely shallow SSF did not depend on high response against the water temperature but on much higher basic nitrogen removal activity compared with other SSF. The phosphorus removal depending on the adsorption to sand in the reed-bed filter was, however, the lowest in the extremely shallow SSF although the volumetric removal efficiency was much higher compared with other SSF. Results of morphological analysis of rhizosphere collected from respective reed-bed suggested that the extremely shallow SSF lead to a very high-density rhizosphere, resulting in a high basic nitrogen removal activity and volumetric phosphorus removal efficiency.

Modelling of Bunus regional sewage treatment plant using machine learning approaches

2020 ◽  
Vol 203 ◽  
pp. 80-90
Author(s):  
Quoc Bao Pham ◽  
M.S. Gaya ◽  
S.I. Abba ◽  
R.A. Abdulkadir ◽  
Parvaneh Esmaili ◽  
...  
Keyword(s):  
Machine Learning ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Learning Approaches
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