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

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.

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

2014 ◽  
Vol 13 (7) ◽  
pp. 1561-1566 ◽  
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

A MATHEMATICAL MODEL FOR WASTEWATER TREATMENT PROCESS OF AN OXIDATION POND

2016 ◽  
Vol 78 (3-2) ◽  
Author(s):  
Amir S. A. Hamzah ◽  
Akbar Banitalebi ◽  
Ali H. M. Murid ◽  
Zainal A. Aziz ◽  
Hasniza Ramli ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Wastewater Treatment ◽  
Dissolved Oxygen ◽  
Treatment Process ◽  
Oxygen Demand ◽  
Wastewater Treatment Process ◽  
Oxidation Pond ◽  
Coupled Equations ◽  
Proposed Model ◽  
The Mathematical Model

This study presents a mathematical model for wastewater treatment process (WWTP) of an oxidation pond. The model permits investigating the effects of a biological-based product called mPHO on the degradation of contaminants as well as increase the amount of dissolved oxygen (DO) in the pond. At this aim, an ordinary differential equation with coupled equations has been developed to study the correlation between the amount of bacteria (phototrophic and Coliform), chemical oxygen demand (COD), and dissolved oxygen (DO) existing in the pond. The mathematical model is employed to simulate the behaviour of the system where the numerical results demonstrate that the proposed model gives a good approximation of the interaction processes that occur naturally between biological and chemical substances involved in the pond

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

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.

Effect of the rotifer Lecane inermis, a potential sludge bulking control agent, on process parameters in a laboratory-scale SBR system

2013 ◽  
Vol 68 (9) ◽  
pp. 2012-2018 ◽  
Author(s):  
Wioleta Kocerba-Soroka ◽  
Edyta Fiałkowska ◽  
Agnieszka Pajdak-Stós ◽  
Mateusz Sobczyk ◽  
Małgorzata Pławecka ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Treatment Process ◽  
Sewage Treatment ◽  
Treatment Plant ◽  
Oxygen Demand ◽  
Control Agent ◽  
Batch Reactors ◽  
Activated Sludge Process ◽  
Filamentous Bacteria ◽  
Wastewater Treatment Process

The influence of a high density of rotifers, which is known to be able to control filamentous bacteria, on the parameters of an activated sludge process was examined in four professional laboratory batch reactors. These reactors allow the imitation of the work of a wastewater treatment plant with enhanced nutrient removal. The parameters, including oxygen concentration, pH and temperature, were constantly controlled. The experiment showed that Lecane rotifers are able to proliferate in cyclically anaerobic/anoxic and aerobic conditions and at dissolved oxygen concentrations as low as 1 mg/L. In 1 week, rotifer density increased fivefold, exceeding the value of 2,200 ind./mL. The grazing activity led to an improvement in settling properties. Extremely high numbers of rotifers did not affect the main parameters, chemical oxygen demand (COD), N-NH4, N-NO3, P-PO4 and pH, during sewage treatment. Therefore, the use of rotifers as a tool to limit the growth of filamentous bacteria appears to be safe for the entire wastewater treatment process.

scholarly journals Research on a soft measurement model of sewage treatment based on a case-based reasoning approach

2017 ◽  
Vol 76 (12) ◽  
pp. 3181-3189 ◽  
Author(s):  
Jiayan Zhang ◽  
Cuicui Du ◽  
Xugang Feng
Keyword(s):  
Neural Network ◽  
Wastewater Treatment ◽  
Treatment Process ◽  
Sewage Treatment ◽  
Oxygen Demand ◽  
Prediction Method ◽  
Measurement Model ◽  
Case Based Reasoning ◽  
Wastewater Treatment Process ◽  
Case Based

Abstract In this paper, the measurement of biochemical oxygen demand (BOD) in a wastewater treatment process is analyzed and an intelligent integrated prediction method based on case-based reasoning (CBR) is proposed in order to overcome difficulties. Due to the fact that there are many factors that influence the accuracy of the prediction model, the radial basis function, which is a neural network with a 3 layer feedforward network, is employed to reduce the dimension of input values. Under these circumstances, a back propagation neural network combining with a nearest neighbor retrieval strategy is adopted to match case. Then, the measurement of BOD in wastewater treatment process is analyzed. Finally, the validity of the improved CBR in sewage treatment is demonstrated by using numerical results.

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

Water ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1539 ◽  
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.

scholarly journals Prediction of BOD Concentration in Wastewater Treatment Process Using a Modular Neural Network in Combination with the Weather Condition

2020 ◽  
Vol 10 (21) ◽  
pp. 7477
Author(s):  
Wenjing Li ◽  
Junkai Zhang
Keyword(s):  
Neural Network ◽  
Wastewater Treatment ◽  
Prediction Accuracy ◽  
Clustering Algorithm ◽  
Treatment Process ◽  
Weather Condition ◽  
Oxygen Demand ◽  
Wastewater Treatment Process ◽  
Training Time ◽  
Modular Neural Network

Since weather has a huge impact on the wastewater treatment process (WWTP), the prediction accuracy for the Biochemical Oxygen Demand (BOD) concentration in WWTP would degenerate if using only one single artificial neural network as the model for soft measurement method. Aiming to solve this problem, the present study proposes a novel hybrid scheme using a modular neural network (MNN) combining with the factor of weather condition. First, discriminative features among different weather groups are selected to ensure a high accuracy for sample clustering based on weather conditions. Second, the samples are clustered based on a density-based clustering algorithm using the discriminative features. Third, the clustered samples are input to each module in MNN, with the auxiliary variables correlated with BOD prediction input to the corresponding model. Finally, a constructive radial basis function neural network with the error-correction algorithm is used as the model for each subnetwork to predict BOD concentration. The proposed scheme is evaluated on a standard wastewater treatment platform—Benchmark Simulation Model 1 (BSM1). Experimental results demonstrate the performance improvement of the proposed scheme on the prediction accuracy for BOD concentration in WWTP. Besides, the training time is shortened and the network structure is compact.

scholarly journals Wastewater Treatment Process: A Modified Mathematical Model for Oxidation Ponds

2021 ◽  
Vol 86 (1) ◽  
pp. 76-86
Author(s):  
Syafiqah Hanis Mohd Fauzi ◽  
Norazaliza Mohd Jamil
Keyword(s):  
Mathematical Model ◽  
Wastewater Treatment ◽  
Treatment Process ◽  
Oxygen Demand ◽  
Wastewater Treatment Process ◽  
Modified Model ◽  
Monod Equation ◽  
Runge Kutta Method ◽  
Oxidation Ponds ◽  
Wastewater Pollutants

Wastewater treatment aims to eliminate as many suspended solids as possible from the remaining water, known as effluent, before it is released into the environment. Pond oxidation methods have been practically proven successful for the wastewater treatment process because of their low construction and maintenance costs. This study aimed to investigate the degradation of wastewater pollutants through an oxidation pond treatment system. The purpose was to observe the relationship between the concentration of bacteria which are phototrophic and coliform, chemical oxygen demand (COD), and dissolved oxygen (DO). In this paper, a modified model consist of a set of an ordinary differential equation (ODE) has been developed by incorporating the Monod Equation. The model was solved numerically using the 4th order Runge Kutta method embedded in the MATLAB software. The sum of squared estimate of errors (SSE) for the modified model was compared with the SSE of the existing model. The results revealed that the modified model demonstrated a lower SSE compared to the existing model. Thus, the modified mathematical model gives better result than the existing model. The model provides an excellent approximation for concentration needed for an oxidized pond to produce good water quality.

Nitrogen nutrient removals from wastewater and river water

2002 ◽  
Vol 45 (12) ◽  
pp. 197-204 ◽  
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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