Metro-environmental data approach for the prediction of chemical oxygen demand in new Nicosia wastewater treatment plant

2021 ◽  
Vol 221 ◽  
pp. 31-40
Author(s):  
A.S. Mubarak ◽  
Parvaneh Esmaili ◽  
Z.S. Ameen ◽  
R.A. Abdulkadir ◽  
M.S. Gaya ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Chemical Oxygen Demand ◽  
Wastewater Treatment Plant ◽  
Treatment Plant ◽  
Oxygen Demand ◽  
Environmental Data

Factors Affecting Biological Nitrogen Removal Efficiency in a Large Wastewater Treatment Plant

1991 ◽  
Vol 24 (7) ◽  
pp. 121-131 ◽  
Author(s):  
Elzbieta Plaza ◽  
Jan Bosander ◽  
Jozef Trela
Keyword(s):  
Wastewater Treatment ◽  
Chemical Oxygen Demand ◽  
Nitrogen Removal ◽  
Wastewater Treatment Plant ◽  
Treatment Plant ◽  
Oxygen Demand ◽  
Biological Nitrogen Removal ◽  
Careful Study ◽  
Anoxic Zone ◽  
Biological Nitrogen

The pre-denitrification method, with internal carbon source for biological nitrogen removal, has been studied in full-scale experiments at a large wastewater treatment plant (flow 130,000 m3/d). Factors controlling nitrogen removal, such as fraction of anoxic zone and organic material content in wastewater are discussed. A flexible system with fine bubble membrane disc diffusers made it possible to change the ratio between the volumes for nitrification and denitrification. The denitrification process was limited by lack of organic carbon in the wastewater and increasing the fraction of anoxic zone did not improve the efficiency of the system. With the help of on-line analysers for total nitrogen and chemical oxygen demand, the relationship between the denitrification efficiency and the carbon/nitrogen ratio has been given careful study. The average value for chemical oxygen demand after primary sedimentation was only 130 mg/l and the value for the COD/N ratio was found to be 6.3. The denitrification rate was usually in the range of 1.0 and 2.0 mg NO3-N/g MLVSS h.

Using artificial neural network for predicting and controlling the effluent chemical oxygen demand in wastewater treatment plant

2019 ◽  
Vol 30 (3) ◽  
pp. 593-608 ◽  
Author(s):  
Naceureddine Bekkari ◽  
Aziez Zeddouri
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Wastewater Treatment ◽  
Chemical Oxygen Demand ◽  
Wastewater Treatment Plant ◽  
Treatment Plant ◽  
Oxygen Demand ◽  
Activation Functions ◽  
Content Type ◽  
Hidden Layer

Purpose Modeling Wastewater Treatment Plant (WWTP) constitutes an important tool for controlling the operation of the process and for predicting its performance with substantial influent fluctuations. The purpose of this paper is to apply an artificial neural network (ANN) approach with a feed-forward back-propagation in order to predict the ten-month performance of Touggourt WWTP in terms of effluent Chemical Oxygen Demand (CODeff). Design/methodology/approach The influent variables such as (pHinf), temperature (TEinf), suspended solid (SSinf), Kjeldahl Nitrogen (KNinf), biochemical oxygen demand (BODinf) and chemical oxygen demand (CODinf) were used as input variables of neural networks. To determine the appropriate architecture of the neural network models, several steps of training were conducted, namely the validation and testing of the models by varying the number of neurons and activation functions in the hidden layer, the activation function in output layer as well as the learning algorithms. Findings The better results were achieved with an architecture network [6-50-1], hyperbolic tangent sigmoid activation functions at hidden layer, linear activation functions at output layer and a Levenberg – Marquardt method as learning algorithm. The results showed that the ANN model could predict the experimental results with high correlation coefficient 0.89, 0.96 and 0.87 during learning, validation and testing phases, respectively. The overall results indicated that the ANN modeling approach can provide an effective tool for simulating, controlling and predicting the performance of WWTP. Originality/value This work is the first of its kind in this region due to the remarkable development in terms of population and agricultural activity in the region, which drove to the increase of water pollutants, so it is necessary to use the modern technologies to modeling and controlling of WWTP.

scholarly journals The Efficiency of the WWTP Zalau for the Parameters Chemical Oxygen Demand (COD), Biological Oxygen Demand (BOD) and

1970 ◽  
Vol 66 (2) ◽  
Author(s):  
Vasile Mihai CRIŞAN ◽  
Carmen PUIA
Keyword(s):  
Wastewater Treatment ◽  
Chemical Oxygen Demand ◽  
Wastewater Treatment Plant ◽  
Treatment Plant ◽  
Oxygen Demand ◽  
Biological Oxygen Demand ◽  
Effluent Quality ◽  
Nitrification Process ◽  
Discharge Parameters ◽  
Stream Waters

The Wastewater Treatment Plant of Zalau, Salaj county, Romania was designed to treat approximately 18.425 m³ wastewater per day, and in order to follow the discharge parameters for the chemical oxygen demand indicators (COD), biological oxygen demand (BOD) and suspension solids (SS), the aeration basins have been conceived to function as a unit on nitrification and denitrification. The concentration of the dissolved oxygen is being maintained at the level of 1 mg/l, on the aeration basin, so as to prevent the growth of autotrophic bacteria and nitrification process. Existing Wastewater Treatment Plant has been designed for a population equivalent of 50.500 people and the aim of the project is to enlarge treatment plant capacity to 90.900 population equivalent and reach the maximum effluent quality. The Wastewater Treatment Plant, is built only for the nitrification process, reduces the nitrogenous chemical compounds but not the phosphor – nitrogen compounds. The exclusive use of nitrification process in the WWTP leads to an overloading of the stream waters with manure.

scholarly journals Reduction of organic and biological pollutants from affluents of the Ancón wastewater treatment plant using microanobubbles of air and graphene [Reducción de contaminantes orgánicos y biológicos de afluentes de la planta de tratamiento de aguas residuales de Ancón utilizando micronanoburbujas de aire y grafeno]

2020 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Rudy Roxana Ayala Daza ◽  
Palmir Ponte Viera ◽  
Jhonny Valverde Flores
Keyword(s):  
Wastewater Treatment ◽  
Chemical Oxygen Demand ◽  
Biochemical Oxygen Demand ◽  
Wastewater Treatment Plant ◽  
Treatment Time ◽  
Treatment Plant ◽  
Oxygen Demand ◽  
Initial Concentration ◽  
Experimental Part ◽  
Thermotolerant Coliforms

The objective of this research was to reduce the organic and biological load of tributaries of the Ancón Wastewater Treatment Plant using microanobubbles of air and graphene. A preliminary sample of the affluent (3L) was taken, which had an initial concentration of Biochemical Oxygen Demand (BOD5) of 410 mg/L, Chemical Oxygen Demand (COD) of 483 mg/L, Thermotolerant Coliforms of 44,000 NMP/100mL and turbidity of 63.33 NTU. The experimental part was carried out with 03 samples of 20 liters with 03 repetitions with a treatment time of 20, 40 and 60 minutes applying air nanobubbles and 6, 12 and 18 grams of graphene respectively. The results of the treated samples were: 87 mg/L representing 78.8% reduction in Biochemical Oxygen Demand (BOD5), 114 mg/L representing 76.4% reduction in Chemical Oxygen Demand (COD), 2,900 NMP/100mL that represents 93.41% reduction of Thermotolerant Coliforms and 12.4 NTU that represents 80.11% reduction of turbidity.

In-depth characterization of secondary effluent from a municipal wastewater treatment plant located in Northern China for advanced treatment

2014 ◽  
Vol 69 (7) ◽  
pp. 1482-1488 ◽  
Author(s):  
Shutao Wang ◽  
Xingwen Zhang ◽  
Zhi-Wu Wang ◽  
Xiangkun Li ◽  
Jun Ma
Keyword(s):  
Wastewater Treatment ◽  
Organic Carbon ◽  
Dissolved Organic Carbon ◽  
Chemical Oxygen Demand ◽  
Wastewater Treatment Plant ◽  
Treatment Plant ◽  
Oxygen Demand ◽  
Secondary Effluent ◽  
Distribution Study

This study provided insight into the characterization of secondary effluent from a wastewater treatment plant located in northeastern China. The secondary effluent was separated into three fractions, the dissolved, the near-colloidal and the suspended, to study their individual characteristics. It revealed that most of the organics in the secondary effluent existed in the dissolved form, accounting for 78.1–86.5% of the total chemical oxygen demand and 82.6–86.6% of the total organic carbon. Results from the molecular weight distribution study further indicated that organics with MW < 1k Da constituted 56.3–62.7% of total organics. Moreover, the particle size distribution study suggested that particles between 2.0 and 6.8 μm in diameter made up 80.0% of the total suspended solids. Both biological oxygen demand/chemical oxygen demand and biological dissolved organic carbon/dissolved organic carbon were measured ranging from 0.2 to 0.3, suggesting the most secondary effluent organics were biologically refractory. This conclusion was further strengthened by the functional groups information obtained from the GC/MS (gas chromatography/mass spectrometry) analysis. The characteristics information revealed from this study will help the design and selection of water quality-specific tertiary treatment technologies for secondary effluent water purification and reuse.

Savings with upgraded performance through improved activated sludge denitrification in the combined activated sludge–biofilter system of the Southpest Wastewater Treatment Plant

2008 ◽  
Vol 57 (8) ◽  
pp. 1287-1293 ◽  
Author(s):  
A. Jobbágy ◽  
G. M. Tardy ◽  
Gy. Palkó ◽  
A. Benáková ◽  
O. Krhutková ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Activated Sludge ◽  
Wastewater Treatment Plant ◽  
Biological Treatment ◽  
Treatment Plant ◽  
Oxygen Demand ◽  
Process Efficiency ◽  
Initial Value ◽  
Initial Profile ◽  
Biological Treatment System

The purpose of the experiments was to increase the rate of activated sludge denitrification in the combined biological treatment system of the Southpest Wastewater Treatment Plant in order to gain savings in cost and energy and improve process efficiency. Initial profile measurements revealed excess denitrification capacity of the preclarified wastewater. As a consequence, flow of nitrification filter effluent recirculated to the anoxic activated sludge basins was increased from 23,000 m3 d−1 to 42,288 m3 d−1 at an average preclarified influent flow of 64,843 m3 d−1, Both simulation studies and microbiological investigations suggested that activated sludge nitrification, achieved despite the low SRT (2–3 days), was initiated by the backseeding from the nitrification filters and facilitated by the decreased oxygen demand of the influent organics used for denitrification. With the improved activated sludge denitrification, methanol demand could be decreased to about half of the initial value. With the increased efficiency of the activated sludge pre-denitrification, plant effluent COD levels decreased from 40–70 mg l−1 to < 30–45 mg l−1 due to the decreased likelihood of methanol overdosing in the denitrification filter

Evaluating the treatment performance of a full scale Activated Sludge Plant in Islamabad, Pakistan

2012 ◽  
Vol 7 (1) ◽  
Author(s):  
S. S. Fatima ◽  
S. Jamal Khan
Keyword(s):  
Wastewater Treatment ◽  
Activated Sludge ◽  
Wastewater Treatment Plant ◽  
Suspended Solids ◽  
Treatment Plant ◽  
Oxygen Demand ◽  
Full Scale ◽  
Operational Parameter ◽  
Mixed Liquor ◽  
Treatment Performance

In this study, the performance of wastewater treatment plant located at sector I-9 Islamabad, Pakistan, was evaluated. This full scale domestic wastewater treatment plant is based on conventional activated sludge process. The parameters which were monitored regularly included total suspended solids (TSS), mixed liquor suspended solids (MLSS), mixed liquor volatile suspended solids (MLVSS), biological oxygen demand (BOD), and chemical oxygen demand (COD). It was found that the biological degradation efficiency of the plant was below the desired levels in terms of COD and BOD. Also the plant operators were not maintaining consistent sludge retention time (SRT). Abrupt discharge of MLSS through the Surplus Activated sludge (SAS) pump was the main reason for the low MLSS in the aeration tank and consequently low treatment performance. In this study the SRT was optimized based on desired MLSS concentration between 3,000–3,500 mg/L and required performance in terms of BOD, COD and TSS. This study revealed that SRT is a very important operational parameter and its knowledge and correct implementation by the plant operators should be mandatory.

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