scholarly journals Evaluation of the effluent quality parameters of wastewater treatment plant based on uncertainty analysis and post-processing approaches (case study)

2021 ◽  
Vol 83 (7) ◽  
pp. 1633-1648
Author(s):  
Nasim Hejabi ◽  
Seyed Mahdi Saghebian ◽  
Mohammad Taghi Aalami ◽  
Vahid Nourani

Abstract Wastewater treatment plants (WWTPs) are highly complicated and dynamic systems and so their appropriate operation, control, and accurate simulation are essential. The simulation of WWTPs according to the process complexity has become an important issue in growing environmental awareness. In recent decades, artificial intelligence approaches have been used as effective tools in order to investigate environmental engineering issues. In this study, the effluent quality of Tabriz WWTP was assessed using two intelligence models, namely support Vector Machine (SVM) and artificial neural network (ANN). In this regard, several models were developed based on influent variables and tested via SVM and ANN methods. Three time scales, daily, weekly, and monthly, were investigated in the modeling process. On the other hand, since applied methods were sensitive to input variables, the Monte Carlo uncertainty analysis method was used to investigate the best-applied model dependability. It was found that both models had an acceptable degree of uncertainty in modeling the effluent quality of Tabriz WWTP. Next, ensemble approaches were applied to improve the prediction performance of Tabriz WWTP. The obtained results comparison showed that the ensemble methods represented better efficiency than single approaches in predicting the performance of Tabriz WWTP.

Processes ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 85
Author(s):  
Barbara Wodecka ◽  
Jakub Drewnowski ◽  
Anita Białek ◽  
Ewa Łazuka ◽  
Joanna Szulżyk-Cieplak

One of the important factors determining the biochemical processes in bioreactors is the quality of the wastewater inflow to the wastewater treatment plant (WWTP). Information on the quality of wastewater, sufficiently in advance, makes it possible to properly select bioreactor settings to obtain optimal process conditions. This paper presents the use of classification models to predict the variability of wastewater quality at the inflow to wastewater treatment plants, the values of which depend only on the amount of inflowing wastewater. The methodology of an expert system to predict selected indicators of wastewater quality at the inflow to the treatment plant (biochemical oxygen demand, chemical oxygen demand, total suspended solids, and ammonium nitrogen) on the example of a selected WWTP—Sitkówka Nowiny, was presented. In the considered system concept, a division of the values of measured wastewater quality indices into lower (reduced values of indicators in relation to average), average (typical and most common values), and upper (increased values) were adopted. On the basis of the calculations performed, it was found that the values of the selected wastewater quality indicators can be identified with sufficient accuracy by means of the determined statistical models based on the support vector machines and boosted trees methods.


Author(s):  
Nur Sakinah Ahmad Yasmin ◽  
Norhaliza Abdul Wahab ◽  
Aznah Nor Anuar ◽  
Mustafa Bob

To comply with growing demand for high effluent quality of Domestic Wastewater Treatment Plant (WWTP), a simple and reliable prediction model is thus needed. The wastewater treatment technology considered in this paper is an Aerobic Granular Sludge (AGS). The AGS systems are fundamentally complex due to uncertainty and non-linearity of the system makes it hard to predict. This paper presents model predictions and optimization as a tool in predicting the performance of the AGS. The input-output data used in model prediction are (COD, TN, TP, AN, and MLSS). After feature analysis, the prediction of the models using Support Vector Machine (SVM) and Feed-Forward Neural Network (FFNN) are developed and compared. The simulation of the model uses the experimental data obtained from Sequencing Batch Reactor under hot temperature of 50˚C. The simulation results indicated that the SVM is preferable to FFNN and it can provide a useful tool in predicting the effluent quality of WWTP.


1996 ◽  
Vol 33 (1) ◽  
pp. 81-87
Author(s):  
L. Van Vooren ◽  
P. Willems ◽  
J. P. Ottoy ◽  
G. C. Vansteenkiste ◽  
W. Verstraete

The use of an automatic on-line titration unit for monitoring the effluent quality of wastewater plants is presented. Buffer capacity curves of different effluent types were studied and validation results are presented for both domestic and industrial full-scale wastewater treatment plants. Ammonium and ortho-phosphate monitoring of the effluent were established by using a simple titration device, connected to a data-interpretation unit. The use of this sensor as the activator of an effluent quality proportional sampler is discussed.


2012 ◽  
Vol 573-574 ◽  
pp. 659-662
Author(s):  
Hao Wang

In Tangshan area, the secondary effluent of wastewater treatment plants was used for this study. Horizontal zeolite wetland was carried out treating it. Hydraulic loading rate was the parameters for analyzing the nitrogen and phosphorus removal efficiency of pollutants from the secondary effluent of wastewater treatment plant. Zeolite constructed wetlands showed different behaviors for nitrogen and phosphorus removals.Under the optimum hydraulic loading rate, the primary pollutions were removed to a large extent.


2018 ◽  
Vol 210 ◽  
pp. 02002
Author(s):  
Ioan Nascu

This paper investigates the performance of a new predictive control approach used to improve the energy efficiency and effluent quality of a conventional Wastewater Treatment Plant (WWTP). A two-layer hierarchical control structure is proposed: process control as a lower layer and a higher layer of optimization. The Activated Sludge Process (ASP) optimization using the proposed approach provides an improved aeration system efficiency to reduce energy costs while maintaining the quality parameters of the effluent. The control strategy is evaluated by performing simulations and analyzing the results. The regulatory performances have been tested and the effects of several tuning parameters are investigated.


2014 ◽  
Vol 69 (6) ◽  
pp. 1289-1297 ◽  
Author(s):  
I. Irizar ◽  
S. Beltrán ◽  
G. Urchegui ◽  
G. Izko ◽  
O. Fernández ◽  
...  

Although often perceived as tools for use by scientists, mathematical modelling and simulation become indispensable when control engineers have to design controllers for real-life wastewater treatment plants (WWTPs). Nonetheless, the design of effective controllers in the wastewater domain using simulations requires effects, such as the nonlinearity of actuators, the time response of sensors, plant model uncertainties, etc. to have been reproduced beforehand. Otherwise, control solutions verified by simulation can completely underperform under real conditions. This study demonstrates that, when all the above effects are included at the outset, a systematic use of simulations guarantees high quality controllers in a relatively short period of time. The above is exemplified through the Mekolalde WWTP, where a comprehensive simulation study was conducted in order to develop a control product for nitrogen removal. Since its activation in May 2011, the designed controller has been permanently working in the plant which, from this time onwards, has experienced significant improvements in the quality of water discharges combined with a lower utilization of electricity for wastewater treatment.


1992 ◽  
Vol 25 (6) ◽  
pp. 285-300 ◽  
Author(s):  
René Dupont ◽  
Mogens Henze

Modelling of activated sludge wastewater treatment plants is today generally based on the Activated Sludge Model No. 1 combined with a very simple model for the secondary settler. This paper describes the development of a model for the secondary clarifier based on the general flux theory for zone settling, which can be used in combination with the Activated Sludge Model to form a dynamic computer model/program for a wastewater treatment plant. In addition to the flux model, the developed model includes a simple model for predicting the contents of paniculate components in the effluent This latter model is a purely empirical model, which connects the effluent quality with the hydraulic load, suspended solids load and the nitrate load. The paper describes the model and gives some basic examples on computer simulations and verification of the model.


2013 ◽  
Vol 39 (1) ◽  
pp. 3-16 ◽  
Author(s):  
Katarzyna Pawęska ◽  
Krzysztof Kuczewski

Abstract The paper presents results of research concerning operating of five small wastewater treatment plants working in two different technologies: hydrobotanical wastewater treatment plant and constructed wetland. Each object was designed for the treatment of domestic sewage after preliminary mechanical treatment in a septic tank. Hydrobotanical wastewater treatment plants and one of constructed wetland beds were built for treating sewage produced in educational institutions and resort. In the article attention is paid to possibility of exceeding the maximum allowable concentration of pollutants for three main indicators of pollution: BOD5, COD, and total suspension. The reduction of these indices is required by the Regulation of the Minister of Environment [14] for wastewater treatment plants with PE < 2000. In addition, the paper presents the effects of wastewater treatment to reduce biogens. The best quality of outflow was reached by outflows from constructed wetland treatment plants. None of the observed objects fulfilled the requirements in terms of allowable concentrations for total suspension. The most effective were objects operating in technology of “constructed wetland”.


2000 ◽  
Vol 42 (10-11) ◽  
pp. 35-42 ◽  
Author(s):  
J. García ◽  
R. Mujeriego ◽  
A. Bourrouet ◽  
G. Peñuelas ◽  
A. Freixes

An evaluation of the 24 existing pond systems for treatment of urban wastewater in Catalonia (north-eastern Spain) was conducted in 1997-1998. The evaluation covered 13 aerated ponds, 7 waste stabilization ponds (WSP), and 4 maturation ponds added to conventional biological wastewater treatment plants (WWTP). The technical characteristics of the pond systems were obtained through a survey completed during several visits to the plants. Performance data was supplied by the Catalonia Wastewater Agency and the monthly monitoring campaigns conducted during 12 months in five WWTP. The average ratio of water surface to population equivalent (p-e) is 1.3 m2/p-e for aerated ponds, 9.6 m2/p-e for WSP and 1.7 m2/p-e for maturation ponds added to conventional WWTP. Average electrical energy consumption is 0.5 kW.h/m3 for aerated ponds and 0.04 kW.h/m3 for WSP (when wastewater has to be pumped from the sewer). Most of the WSP show an inadequate level O & M, because the very limited operator attendance (0.6 h/dayon average) as compared to aerated ponds (3.2 h/day on average). Effluent quality of aerated ponds (31 mg SS/l and 22 mg BOD5/l, on average) is usually better that of WSP (100 mg SS/l and 67 mg BOD5/l, on average). Most of the WSP are overloaded, with only two of the pond systems receiving less than 50 kg BOD5/ha. Facultative WSP show a better performance than anaerobic WSP; anaerobic WSP have very high overloading conditions (with more than 250 kg BOD5/ha.d). Average effluent quality of all the pond systems studied comply with European Union standards.


1999 ◽  
Vol 39 (2) ◽  
pp. 145-150
Author(s):  
T. Dormoy ◽  
B. Tisserand ◽  
L. Herremans

The new regulations require an increased amount of treatment of stormwater and a reduction of pollution loads discharged into the natural surroundings to be considered. Drainage systems therefore and particularly wastewater treatment plants should be sized correctly to cope with these peaks. Using a simulation software of wastewater treatment plant with activated sludge, such as SIMBAD, enables us to check that planned structures are appropriate in relation to the effluent quality requirements laid down, and to fix the most appropriate operating procedures. Operating constraints on a plant for treating stormwater are not negligible. It is advisable to allow for increased sludge production, O2 requirements and also sludge quality (fermentability).


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