Long-Term Prediction of Biological Wastewater Treatment Process Behavior via Wiener-Laguerre Network Model

A Wiener-Laguerre model with artificial neural network (ANN) as its nonlinear static part was employed to describe the dynamic behavior of a sequencing batch reactor (SBR) used for the treatment of dye-containing wastewater. The model was developed based on the experimental data obtained from the treatment of an effluent containing a reactive textile azo dye, Cibacron yellow FN-2R, bySphingomonas paucimobilisbacterium. The influent COD, MLVSS, and reaction time were selected as the process inputs and the effluent COD and BOD as the process outputs. The best possible result for the discrete pole parameter wasα=0.44. In order to adjust the parameters of ANN, the Levenberg-Marquardt (LM) algorithm was employed. The results predicted by the model were compared to the experimental data and showed a high correlation withR2>0.99and a low mean absolute error (MAE). The results from this study reveal that the developed model is accurate and efficacious in predicting COD and BOD parameters of the dye-containing wastewater treated by SBR. The proposed modeling approach can be applied to other industrial wastewater treatment systems to predict effluent characteristics.

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Development of a cost-effective wastewater treatment process: combination of different process

E3S Web of Conferences ◽

10.1051/e3sconf/202123301106 ◽

2021 ◽

Vol 233 ◽

pp. 01106

Author(s):

Song Du ◽

Wenbiao Jin

Keyword(s):

Wastewater Treatment ◽

Catalytic Oxidation ◽

Treatment Process ◽

Batch Reactor ◽

Oxygen Demand ◽

Cost Effective ◽

Fenton Oxidation ◽

Wastewater Treatment Process ◽

Combination Process ◽

Electro Catalytic Oxidation

Caprolactam wastewater produced by the production process of caprolactam is characterized by a very high toxicity and chemical oxygen demand (COD) values, having potential harm to the environment if treated improperly. However, these characteristics make caprolactam wastewaters difficult to treat using traditional methods. So the aim of this work was to develop a cost-effective caprolactam wastewater treatment process. Fenton oxidation, sequencing batch reactor activated sludge process (SBR) and electro-catalytic oxidation were proposed to treat caprolactam wastewater in the laboratory scale, and the treatment effects were investigated. Compared with Fenton oxidation, SBR and electro-catalytic oxidation can treat caprolactam wastewater at a lower cost and more efficiently. The pilot test results indicate that the COD can be decreased to less than 1000 mg/L by the combination process, and when the COD removal rates maintain 90%, the cost of caprolactam wastewater treatment is below 6 yuan/m3. The combination process showed better economic benefit.

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MODELLING WASTEWATER TREATMENT PROCESS IN A SMALL PLANT USING A SEQUENCING BATCH REACTOR (SBR)

Environmental Engineering and Management Journal ◽

10.30638/eemj.2014.172 ◽

2014 ◽

Vol 13 (7) ◽

pp. 1561-1566 ◽

Cited By ~ 2

Author(s):

Narcis Barsan ◽

Ion Joita ◽

Marius Stanila ◽

Cristian Radu ◽

Mihaela Dascalu

Keyword(s):

Wastewater Treatment ◽

Sequencing Batch Reactor ◽

Treatment Process ◽

Batch Reactor ◽

Wastewater Treatment Process ◽

Small Plant

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Utilization of Agro-based Adsorbents in Binary Wastewater Treatment

Journal of Environmental Science and Pollution Research ◽

10.30799/jespr.213.21070103 ◽

2021 ◽

Vol 7 (1) ◽

pp. 451-454

Author(s):

Abhiram Siva Prasad Pamula ◽

Yung-Tse Hung ◽

Howard Hao-Che Paul

Keyword(s):

Experimental Data ◽

Wastewater Treatment ◽

Treatment Process ◽

Regression Coefficient ◽

Low Cost ◽

Batch Adsorption ◽

Order Kinetic ◽

Wastewater Treatment Process ◽

Onion Peel ◽

Peanut Hull

The application of agro-based adsorbents is growing in the tertiary stage of the wastewater treatment process during the presence of hazardous pollutants. Dye and coffee industries are among the major wastewater pollutant sources negatively affect aquatic ecosystems and human health. The current study attempts to treat a binary mixture of crystal violet (CV) and coffee wastewater using agro-based adsorbents such as peanut hull and onion peel. The performance and efficacy of low-cost adsorbents were evaluated using parameters, including transmittance and non-purgeable organic carbon (NPOC). Batch adsorption studies were conducted to optimize both the adsorbent size and dosage that affect the treatment process. The experimental data obtained from the experiment were analyzed to understand whether Langmuir or Freundlich best fits the treatment process's experimental data. It was observed that Langmuir isotherm seems to fit experimental data using peanut hull and Freundlich isotherm using onion peel. The kinetics of the adsorption process appears to follow the pseudo-first-order kinetic model. The regression coefficient value of onion peel was 0.91, and uptake was 58.14 mg/g. Similarly, using the peanut hull, the regression coefficient was 0.99, and uptake was 57.47 mg/g. It seems that peanut hull appears to perform better as a low-cost adsorbent compared to onion peel. The adsorption capacity increased with the increasing dosage of low-cost adsorbent (peanut hull) until the adsorbent size of 0.6-0.425 mm and steadily decreased after that.

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A Novel Predictive PID Control Method for SBR Wastewater Treatment Process DO Control

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.955-959.1437 ◽

2014 ◽

Vol 955-959 ◽

pp. 1437-1442

Author(s):

Hai Bo Yu ◽

Yu Zhao Feng ◽

Wei Peng ◽

Li Wei Sheng ◽

Hong Lu Li ◽

...

Keyword(s):

Wastewater Treatment ◽

Pid Control ◽

Treatment Process ◽

Control Method ◽

Batch Reactor ◽

Sewage Treatment ◽

Sewage Treatment Plant ◽

Treatment Plant ◽

Wastewater Treatment Process ◽

Do Control

Sequencing Batch Reactor (SBR) wastewater treatment process has lots of characteristics, such as randomness, time-varying characteristics, complexity and so on. In order to solve the above problems, a predictive PID control method based on DMC and ordinary PID for SBR wastewater treatment process dissolved oxygen (DO) control was proposed. The simulation studies were conducted with the MATLAB in a sewage treatment plant. The results showed that the proposed predictive PID control method was robust and jamproof. Meanwhile, the wastewater treatment system also had a strong capacity of shock load.

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Impact of the Biological Cotreatment of the Kalina Pond Leachate on Laboratory Sequencing Batch Reactor Operation and Activated Sludge Quality

Water ◽

10.3390/w11081539 ◽

2019 ◽

Vol 11 (8) ◽

pp. 1539 ◽

Cited By ~ 3

Author(s):

Justyna Michalska ◽

Izabela Greń ◽

Joanna Żur ◽

Daniel Wasilkowski ◽

Agnieszka Mrozik

Keyword(s):

Wastewater Treatment ◽

Activated Sludge ◽

Landfill Leachate ◽

Sequencing Batch Reactor ◽

Wastewater Treatment Plants ◽

Negative Impact ◽

Batch Reactor ◽

Oxygen Demand ◽

Pollutant Removal ◽

Wastewater Treatment Process

Hauling landfill leachate to offsite urban wastewater treatment plants is a way to achieve pollutant removal. However, the implementation of biological methods for the treatment of landfill leachate can be extremely challenging. This study aims to investigate the effect of blending wastewater with 3.5% and 5.5% of the industrial leachate from the Kalina pond (KPL) on the performance of sequencing batch reactor (SBR) and capacity of activated sludge microorganisms. The results showed that the removal efficiency of the chemical oxygen demand declined in the contaminated SBR from 100% to 69% and, subsequently, to 41% after the cotreatment with 3.5% and 5.5% of the pollutant. In parallel, the activities of the dehydrogenases and nonspecific esterases declined by 58% and 39%, and 79% and 81% after 32 days of the exposure of the SBR to 3.5% and 5.5% of the leachate, respectively. Furthermore, the presence of the KPL in the sewage affected the sludge microorganisms through a reduction in their functional capacity as well as a decrease in the percentages of the marker fatty acids for different microbial groups. A multifactorial analysis of the parameters relevant for the wastewater treatment process confirmed unambiguously the negative impact of the leachate on the operation, activity, and structure of the activated sludge.

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Nitrogen nutrient removals from wastewater and river water

Water Science & Technology ◽

10.2166/wst.2002.0427 ◽

2002 ◽

Vol 45 (12) ◽

pp. 197-204 ◽

Cited By ~ 7

Author(s):

R. Abdul-Rahman ◽

H. Tsuno ◽

N. Zainol

Keyword(s):

Wastewater Treatment ◽

Activated Carbon ◽

River Water ◽

Sequencing Batch Reactor ◽

Treatment Process ◽

Batch Reactor ◽

Residence Times ◽

Wastewater Treatment Process ◽

Total N ◽

Chlorinated Organics

Elevated levels of nutrients in agroindustry wastewaters, and higher reliance on chlorination pose health threats due to formation of chlorinated organics as well as increased chlorination costs. Removals of ammonium and nitrate compounds were studied using activated carbon from palm shells, as adsorbent and support media. Experiments were carried out at several loadings, F:M from 0.31 to 0.58, and hydraulic residence times (HRT) of 24 h, 12 h and 8 h. Results show that the wastewater treatment process achieved removals of over 90% for COD and 62% for Total-N. Studies on removals from river water were carried out in sequencing batch reactor (SBR) and activated carbon biofilm (ACB) reactor. Removals achieved by the SBR adsorption-biodegradation combination were 67.0% for COD, 58.8% for NH3-N and 25.5% for NO3-N while for adsorption alone the removals were only 37.0% for COD, 35.2% for NH3-N and 13.8% for NO3-N. In the ACB reactor, at HRT of 1.5 to 6 h, removals ranged from 12.5 to 100% for COD, 16.7 to 100% for NO3-N and 13.5 to 100% for NH3-N. Significant decrease in removals was shown at lower HRT. The studies have shown that substantial removals of COD, NO3-N and NH3-N from both wastewater and river water may be achieved via adsorption-biodegradation by biofilm on activated carbon processes.

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