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.

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.

scholarly journals Estimation of Biochemical Oxygen Demand Based on Dissolved Organic Carbon, UV Absorption, and Fluorescence Measurements

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Jihyun Kwak ◽  
Bumju Khang ◽  
Eunhee Kim ◽  
Hyunook Kim
Keyword(s):  
Wastewater Treatment ◽  
Organic Carbon ◽  
Dissolved Organic Carbon ◽  
River Water ◽  
Biochemical Oxygen Demand ◽  
Treatment Plant ◽  
Oxygen Demand ◽  
Fluorescence Measurements ◽  
Wwtp Effluent ◽  
Software Sensors

Determination of 5-d biochemical oxygen demand (BOD5) is the most commonly practiced test to assess the water quality of surface waters and the waste loading. However, BOD5is not a good parameter for the control of water or wastewater treatment processes because of its long test period. It is very difficult to produce consistent and reliable BOD5results without using careful laboratory quality control practices. This study was performed to develop software sensors to predict the BOD5of river water and wastewater. The software sensors were based on the multiple regression analysis using the dissolved organic carbon (DOC) concentration, UV light absorbance at 254 nm, and synchronous fluorescence spectra. River water samples and wastewater treatment plant (WWTP) effluents were collected at 1-hour interval to evaluate the feasibility of the software sensors. In short, the software sensors developed in this study could well predict the BOD5of river water (r=0.78) and for the WWTP effluent (r=0.90).

scholarly journals Analysis of Treated Wastewater Produced from Al-Lajoun Wastewater Treatment Plant, Jordan

2009 ◽  
Vol 6 (s1) ◽  
pp. S287-S303
Author(s):  
Waleed Manasreh ◽  
Atef S. Alzaydien ◽  
Malahmeh .M
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Wastewater Treatment ◽  
Organic Carbon ◽  
Total Organic Carbon ◽  
Wastewater Treatment Plant ◽  
Treatment Plant ◽  
Oxygen Demand ◽  
Treated Wastewater ◽  
The Impact

Assessment of treated wastewater produced from Al-Lajoun collection tanks of the wastewater treatment plant in Karak province was carried out in term of physical properties, its major ionic composition, heavy metals and general organic content, for both wastewater influent and effluent. Sampling was done in two periods during (2005-2006) summer season and during winter season to detect the impact of climate on treated wastewater quality. Soil samples were collected from Al-Lajoun valley where the treated wastewater drained, to determine the heavy metal and total organic carbon concentrations at same time. The study showed that the treated wastewater was low in its heavy metals contents during both winter and summer seasons, which was attributed to high pH value enhancing their precipitations. Some of the major ions such as Cl-, Na+, HCO33-, Mg2+in addition to biological oxygen demand and chemical oxygen demand were higher than the recommended Jordanian guidelines for drained water in valleys. The treated wastewater contained some organic compounds of toxic type such as polycyclic aromatic hydrocarbons. Results showed that the soil was low in its heavy metal contents and total organic carbon with distance from the discharging pond, which attributed to the adsorption of heavy metals, total organic carbon and sedimentation of suspended particulates. From this study it was concluded that the treated wastewater must be used in situ for production of animal fodder and prohibit its contact with the surface and groundwater resources of the area specially Al-Mujeb dam where it is collected.

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.

Textile Wastewater Reuse: Ozonation of Membrane Concentrated Secondary Effluent

1999 ◽  
Vol 40 (4-5) ◽  
pp. 99-105 ◽  
Author(s):  
A. Lopez ◽  
G. Ricco ◽  
R. Ciannarella ◽  
A. Rozzi ◽  
A. C. Di Pinto ◽  
...  
Keyword(s):  
Wastewater Treatment ◽  
Acute Toxicity ◽  
Wastewater Treatment Plant ◽  
Textile Industry ◽  
Nonionic Surfactants ◽  
Wastewater Reuse ◽  
Treatment Plant ◽  
Textile Wastewater ◽  
Secondary Effluent ◽  
Complete Disappearance

Among the activities appointed by the EC research-project “Integrated water recycling and emission abatement in the textile industry” (Contract: ENV4-CT95-0064), the effectiveness of ozone for improving the biotreatability of recalcitrant effluents as well as for removing from them toxic and/or inhibitory pollutants has been evaluated at lab-scale. Real membrane concentrates (pH=7.9; TOC=190 ppm; CDO=595 ppm; BOD5=0 ppm; Conductivity=5,000 μS/cm; Microtox-EC20=34%) produced at Bulgarograsso (Italy) Wastewater Treatment Plant by nanofiltering biologically treated secondary textile effluents, have been treated with ozonated air (O3conc.=12 ppm) over 120 min. The results have indicated that during ozonation, BOD5 increases from 0 to 75 ppm, whereas COD and TOC both decrease by about 50% and 30 % respectively. As for potentially toxic and/or inhibitory pollutants such as dyes, nonionic surfactants and halogenated organics, all measured as sum parameters, removals higher than 90% were achieved as confirmed by the complete disappearance of acute toxicity in the treated streams. The only ozonation byproducts searched for and found were aldehydes whose total amount continuously increased in the first hour from 1.2 up to 11.8 ppm. Among them, formaldehyde, acetaldehyde, glyoxal, propionaldehyde, and butyraldehyde were identified by HPLC.

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