Treatment of landfill leachate in a bench scale MBR

Svojitka, Jan; Wintgens, Thomas; Melin, Thomas

doi:10.5004/dwt.2009.763

Cited by 19 publications

(5 citation statements)

References 10 publications

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“…The values of the parameter in this study are akin to those obtained from Soluos 2 and Soluos 3 landfills in Lagos, which ranged between 26.3 to 36.30 mg/L and 7.98 to 8.77 mg/L respectively (Salami and Susu, 2019), and Aba-Eku landfill in Ibadan, which ranged between 98.01mg/L to 134.01mg/L (Aromolaran et al, 2019). Although its concentration is low when compared with results (exceeding 1000mg/L) obtained elsewhere (Wichitsathian et al, 2004;Robinson, 2007;Visvanathan et al, 2007;Aloui et al, 2009;Hasar et al, 2009;Svojitka et al, 2009;Puszczało et al, 2010;Chiemchaisri et al, 2011), the need for treatment of the leachate cannot be overemphasized. This is because NH 4 -N has been identified as a priority parameter responsible for the toxicity of LFL and could have harmful effect even as an air pollutant upon its volatilization from the leachate when it exceeds 0.50 mg/l (Cameron and Koch, 1980;USEPA, 1984USEPA, , 1989.…”

Section: Characterization Of Landfill Leachatessupporting

confidence: 56%

Assessment of leachate contamination potential of landfills in Ibadan, Nigeria

Adesogan¹,

Omonigho²

2021

Afr. J. Environ. Sci. Technol.

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Environmental pollution leads to poor health and has been a worrisome experience to humanity for the past few decades. This research was conducted to determine the pollution potential of landfill leachates (LFL) in Sub-Saharan Africa, using Ibadan as case study. Survey of landfills in the metropolis was undertaken; the two major active unlined landfills (Ajakanga and Awotan), were considered for this study. During sampling, eighteen parameters of interest were analyzed. The leachate pollution indices (LPI) of each landfill were calculated. The LPI of Awotan landfill is 17.55 while that of Ajakanga is 15.67. With the exceedances of the 7.378 standard LPI value, all landfills in the metropolis is recommended to be closed down in line with international best practices and new sanitary landfills set up in their stead. Based on the sub-LPI values obtained, biological treatment would be the most viable treatment option for the LFL produced. The findings from this study are applicable in landfill management in other countries within the African sub-region; thereby contributing to the attainment of Sustainable Development Goals (SDGs).

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Section: Characterization Of Landfill Leachatessupporting

confidence: 56%

Assessment of leachate contamination potential of landfills in Ibadan, Nigeria

Adesogan¹,

Omonigho²

2021

Afr. J. Environ. Sci. Technol.

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“…Membranes bioreactors also enable high removal efficiency of chemical oxygen demand (COD) and biological oxygen demand (BOD), low production of excess sludge and allow high concentrations of mixed liquor suspended solids (MLSS), and water reclamation. Membrane bioreactor technology has recently attracted extraordinary attention because of the advantages over conventional activated sludge process, the growing demand for water reclamation, more stringent emission standards and steady decline in the cost of the membrane [5][6][7][8][9]. In addition, MBR technology also have a very good quality effluent, higher load ume, good disinfection ability, reduced footprint and sewage production, improved nitrification and process flexibility towards changes in the influent [10].…”

Section: Introductionmentioning

confidence: 99%

Fouling Prediction using Neural Network Model for Membrane Bioreactor System

Mahmod

Wahab

2017

IJEECS

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Membrane bioreactor (MBR) technology is a new method for water and wastewater treatment due to its ability to produce better and high-quality effluent that meets water quality regulations. MBR also is an advanced way to displace the conventional activated sludge (CAS) process. Even this membrane gives better performances compared to CAS, it does have few drawbacks such as high maintenance cost and fouling problem. In order to overcome this problem, an optimal MBR plant operation need to be developed. This can be achieved through an accurate model that can predict the fouling behaviour which could optimise the membrane operation. This paper presents the application of artificial neural network technique to predict the filtration of membrane bioreactor system. The Radial Basis Function Neural Network (RBFNN) is applied to model the developed submerged MBR filtration system. RBFNN model is expected to give good prediction model of filtration system for estimating the fouling that formed during filtration process.

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“…Leaching is the major route through which soluble contaminants are released into the environment upon contact with water. This results in potential risk to human and environmental health [9][10][11][12][13] .…”

Section: Introductionmentioning

confidence: 99%

Preliminary assessment of soil contamination by trace metals in peri-urban municipal landfills in Ibadan, Nigeria

Oyegbile

2017

F1000Res

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Background: Soil contamination by trace metals as a result of improper waste management and disposal in Ibadan, Nigeria has been evaluated in this study. Several studies have shown the link between trace metal soil contamination and improper solid waste disposal. Methods: Soil samples were taken from two major landfills in Ibadan, in the south-west of Nigeria, and subjected to laboratory analysis using inductively coupled plasma-optical emission spectrometry (ICP-OES) as part of a wider study to evaluate the waste management practices in the city. Results: The results of this investigation, without taking into account the background values of the trace metals at both landfill sites, showed that the quantified levels of lead at both sites exceeded threshold levels. The quantified values of zinc and copper metals exceeded the threshold levels specified in the Finnish government decree on the assessment of soil contamination and remediation needs, at 1098 mg/kg and 233.20 mg/kg in the Aba-Eku landfill site, and 1205 mg/kg and 476.55 mg/kg in the Lapite landfill site, respectively. This calls for a comprehensive risk assessment. Conclusions: It is hoped that the results of this study will serve as a basis for a wider risk assessment of all landfill sites within the city.

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Treatment of landfill leachate in a bench scale MBR

Cited by 19 publications

References 10 publications

Assessment of leachate contamination potential of landfills in Ibadan, Nigeria

Assessment of leachate contamination potential of landfills in Ibadan, Nigeria

Fouling Prediction using Neural Network Model for Membrane Bioreactor System

Preliminary assessment of soil contamination by trace metals in peri-urban municipal landfills in Ibadan, Nigeria

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