Simultaneous efficient removal of high-strength ammonia nitrogen and chemical oxygen demand from landfill leachate by using an extremely high ammonia nitrogen-resistant strain

2014 ◽  
Vol 62 (3) ◽  
pp. 357-368 ◽  
Author(s):  
Dahai Yu ◽  
Jiyu Yang ◽  
Xuexun Fang ◽  
Hejun Ren
Keyword(s):  
Chemical Oxygen Demand ◽  
Landfill Leachate ◽  
Resistant Strain ◽  
Oxygen Demand ◽  
High Strength ◽  
Ammonia Nitrogen ◽  
Efficient Removal ◽  
High Ammonia

scholarly journals Synthesis and properties of zeolite/N-doped porous carbon for the efficient removal of chemical oxygen demand and ammonia-nitrogen from aqueous solution

RSC Advances ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 6452-6459 ◽  
Author(s):  
Guangzhi Xin ◽  
Min Wang ◽  
Lin Chen ◽  
Yuzhou Zhang ◽  
Meicheng Wang ◽  
...  
Keyword(s):  
Aqueous Solution ◽  
Activated Carbon ◽  
Chemical Oxygen Demand ◽  
Porous Carbon ◽  
Mesoporous Carbon ◽  
Oxygen Demand ◽  
Ammonia Nitrogen ◽  
Efficient Removal ◽  
Porous Activated Carbon

A novel adsorbent zeolite/N-doped porous activated carbon (ZAC) was prepared by the synthesis of zeolite and mesoporous carbon to remove ammonia nitrogen (NH4+–N) and chemical oxygen demand (COD) from aqueous solution.

scholarly journals Coupling Granular Activated Carbon Adsorption with Membrane Filtration for Chemical Oxygen Demand Removal from High Strength Wastewater

2019 ◽  
Vol 4 (1) ◽  
pp. 1-10
Author(s):  
Aida Isma M.I. ◽  
◽  
Abdo Saad ◽  
Rachid Ali A. ◽  
Kenneth Yeoh ◽  
...  
Keyword(s):  
Activated Carbon ◽  
Chemical Oxygen Demand ◽  
Membrane Filtration ◽  
Oxygen Demand ◽  
Granular Activated Carbon ◽  
High Strength ◽  
Ammonia Nitrogen ◽  
Transmembrane Pressure ◽  
Activated Carbon Adsorption ◽  
Carbon Adsorption

Combined granular activated carbon adsorption with membrane filtration for high strength wastewater treatment have been carried out. Raw oleo-chemical wastewater and leachate were used as sample. Ultrafiltration is also relatively low cost, easy to backwash and operates up to 3 barg. Experiment was carried out by passing through the sample to an adsorption column for 10 minutes followed by membrane filtration at different transmembrane pressure of 1, 2 and 3 barg. Oleo-chemical samples were analysed for chemical oxygen demand, turbidity, suspended solid and leachate samples were analysed for chemical oxygen demand and ammonia nitrogen according to APHA method. Results showed that the best chemical oxygen demand, suspended solids and turbidity removal for oleo-chemical samples achieved at 2 bar with 64%, 93% and 97%, respectively. Leachate showed the best removal of chemical oxygen demand and ammonia nitrogen achieved at 3 bar, with 76% and 87%, respectively. The adsorption process combined with membrane filtration is feasible as an alternative for conventional biological treatment for high strength wastewater. However, GAC exhaustive breakthrough point requires monitoring.

Treatment of a complex landfill leachate with peat

1978 ◽  
Vol 5 (1) ◽  
pp. 83-97 ◽  
Author(s):  
Robert D. Cameron
Keyword(s):  
Chemical Oxygen Demand ◽  
Ferric Chloride ◽  
Landfill Leachate ◽  
Metal Removal ◽  
Oxygen Demand ◽  
Treatment Method ◽  
Manganese Concentration ◽  
Chemical Pretreatment ◽  
Iron Manganese

The use of cheap, locally available peat as a treatment method for landfill leachate was investigated by passing leachate through plexiglass columns filled with an amorphous-granular peat. Preliminary adjustment of pH showed that reducing pH to 4.8 dramatically reduced adsorption. Increasing the pH to 8.4, metal removal was increased owing to filtration of precipitated metals. The best adsorption of metals occurred at the 'natural' pH of 7.1. Manganese was found to be the limiting pollutant. At the 0.05 mg/ℓ maximum acceptable manganese concentration 94% of the total metals were removed, requiring 159 kg of peat per 1000 ℓ of leachate.Resting the peat for 1 month did significantly increase removal capacity.Desorption of some contaminants occurred when water was percolated through the peat. The desorption test effluent was not toxic to fish although iron, lead and COD (chemical oxygen demand) exceeded acceptable values.Chemical pretreatment using lime and ferric chloride achieved significant iron, manganese and calcium removals. Chemical pretreatment followed by peat adsorption offered no advantage other than reducing toxicity to fish.Peat treatment alone was effective in reducing concentrations to a level that was non-toxic to fish.

scholarly journals Digestate Liquid Fraction Treatment with Filters Filled with Recovery Materials

Water ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 21
Author(s):  
Ilaria Piccoli ◽  
Giuseppe Virga ◽  
Carmelo Maucieri ◽  
Maurizio Borin
Keyword(s):  
Chemical Oxygen Demand ◽  
Total Nitrogen ◽  
Liquid Fraction ◽  
Oxygen Demand ◽  
Ammonia Nitrogen ◽  
Green Technology ◽  
Filling Material ◽  
Community Interactions ◽  
Material Particle ◽  
N Removal

Constructed wetlands (CWs) represent a green technology for digestate liquid fraction (DLF) treatment. However, previous research has warned about their performance when treating wastewater with high suspended solid and organic loads. In addition, the high NH4-N concentration typical of this wastewater can compromise vegetation establishment and activity. In view of this, a digestate pretreatment is needed. This study aimed to test the performance of filters filled with recovery materials, such as brick and refractory material, for DLF pretreatment. The effect on DLF physical (electrical conductivity, pH, dissolved oxygen, and temperature) and chemical (total nitrogen, ammonia–nitrogen, nitrate–nitrogen, total phosphorus, soluble phosphorus, and chemical oxygen demand) characteristics was monitored during eight weekly cycles. The effect of filtration on total nitrogen and ammonia–nitrogen removal began after about one month of loading, suggesting that an activation period is necessary for bacteria. For effective N removal, the presence of multiple digestate recirculations per day through the filters appears mandatory to guarantee the alternation of nitrification and denitrification conditions. For P removal, filling material particle size appeared to be more important than its composition. Unclear performances were observed considering chemical oxygen demand. Further studies on filling media and microbial community interactions, and the long-term efficiency of filters, are desirable.

Ozonation With Catalyst in Landfill Leachate Treatment

2019 ◽  
pp. 324-354
Author(s):  
Siti Nor Farhana Zakaria
Keyword(s):  
Molecular Structure ◽  
Hydrogen Peroxide ◽  
Hydroxyl Radical ◽  
Chemical Oxygen Demand ◽  
Human Health ◽  
Chemical Reaction ◽  
Landfill Leachate ◽  
Treatment Cost ◽  
Oxygen Demand ◽  
Leachate Treatment

Landfill leachate is a hazardous pollutant generated from a landfill site. Discharge of landfill leachate has caused a major contamination to the environment and detrimental to human health. This chapter introduces an alternative method to treat recalcitrant pollutant in leachate by using ozonation with catalyst. The production of hydroxyl radical in ozonation was not enough to oxidize complex molecular structure in the leachate. Theoretically, the addition of catalyst enhances the capacity of radical and accelerates the chemical reaction. The effectiveness of ozonation with Fenton (O3/Fenton), hydrogen peroxide (O3/H2O2), and zirconium tetrachloride (O3/ZrCl4) in removing pollutant such as chemical oxygen demand (COD), color, and improvement of biodegradability by using this process were also discussed in this chapter. Comparison in term of treatment cost and benefits of the application of chemical as catalyst are briefly elaborated at the end of this chapter.

scholarly journals Analysis of the Bioaugmentation Potential of Pseudomonas putida OR45a and Pseudomonas putida KB3 in the Sequencing Batch Reactors Fed with the Phenolic Landfill Leachate

Water ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 906
Author(s):  
Justyna Michalska ◽  
Artur Piński ◽  
Joanna Żur ◽  
Agnieszka Mrozik
Keyword(s):  
Pseudomonas Putida ◽  
Landfill Leachate ◽  
Oxygen Demand ◽  
Ammonia Nitrogen ◽  
Batch Reactors ◽  
Sequencing Batch Reactors ◽  
High Toxicity ◽  
High Enzymatic Activity ◽  
Wastewater Treatment Systems ◽  
Nonspecific Esterases

The treatment of landfill leachate could be challenging for the biological wastewater treatment systems due to its high toxicity and the presence of poorly biodegradable contaminants. In this study, the bioaugmentation technology was successfully applied in sequencing batch reactors (SBRs) fed with the phenolic landfill leachate by inoculation of the activated sludge (AS) with two phenol-degrading Pseudomonas putida OR45a and Pseudomonas putida KB3 strains. According to the results, the SBRs bioaugmented with Pseudomonas strains withstood the increasing concentrations of the leachate. This resulted in the higher removal efficiency of the chemical oxygen demand (COD) of 79–86%, ammonia nitrogen of 87–88% and phenolic compounds of 85–96% as compared to 45%, 64%, and 50% for the noninoculated SBR. Simultaneously, the bioaugmentation of the AS allowed to maintain the high enzymatic activity of dehydrogenases, nonspecific esterases, and catalase in this ecosystem, which contributed to the higher functional capacity of indigenous microorganisms than in the noninoculated AS. Herein, the stress level experienced by the microorganisms in the SBRs fed with the leachate computed based on the cellular ATP measurements showed that the abundance of exogenous Pseudomonas strains in the bioreactors contributed to the reduction in effluent toxicity, which was reflected by a decrease in the stress biomass index to 32–45% as compared to the nonbioaugmented AS (76%).

The Study of Prediction of Agricultural Source Pollution Emissions of Ammonia Nitrogen (AN) and Chemical Oxygen Demand (COD) Based on Bionic Neural Network Algorithm

2013 ◽  
Vol 461 ◽  
pp. 544-552 ◽  
Author(s):  
Hong Peng Guo ◽  
Gan Yu Feng ◽  
Chun Xia Liu ◽  
Xiao Yi Zhang
Keyword(s):  
Neural Network ◽  
Chemical Oxygen Demand ◽  
Rapid Development ◽  
Oxygen Demand ◽  
Ammonia Nitrogen ◽  
Average Error ◽  
Research Results ◽  
Network Algorithm ◽  
Neural Network Algorithm ◽  
Pollution Emissions

Nearly 40% of Chinese water pollution comes from agricultural sources of pollution, and the annual emissions are difference. If we want to control pollution emissions effectively, we need to accurately predict the amount of agricultural emissions of Ammonia Nitrogen (AN) and Chemical Oxygen Demand (COD). Due to the complex mechanism of the agricultural non-point source pollution, its emissions are very difficult to measure. Currently, the Bionics Research is in a stage of rapid development, and it continues to expand into many new areas of research. So the comprehensive study of Bionics and pollutant control study will be a good choice. This research used bionic BP（Back Propagation） neural network algorithm, and used pollution census data from 2002 to 2007 and established neural network model with neural network algorithm. And we predicted the agricultural sources of emissions of AN and COD with the data from 2008 to 2010. Finally we compared the predicted value and the actual value. Research results showed that, with using the bionic BP neural network, agricultural sources emissions of AN and COD are evaluated actually and the results indicate that the average error is under 5.0%. Research results proved that the model is effective. The neural network is a scientific predict method for the agricultural sources emissions of AN and COD. It can be widely used in the prediction of agricultural sources emissions of AN and COD.

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