PREDICTION OF COD AND NH4+-N CONCENTRATIONS IN LEACHATE FROM LABSCALE LANDFILL 
BIOREACTORS USING ARTIFICIAL NEURAL NETWORKS

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ZOUGHI M.J.; ZOUGHI T.; SAEIDI MOHSEN

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Paper Information

Journal: WATER AND WASTEWATER Year:2010 | Volume:21 | Issue:2 (74) Page(s): 52-60

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Title

PREDICTION OF COD AND NH4+-N CONCENTRATIONS IN LEACHATE FROM LABSCALE LANDFILL BIOREACTORS USING ARTIFICIAL NEURAL NETWORKS

Author(s)

ZOUGHI M.J. | ZOUGHI T. | SAEIDI MOHSEN | Issue Writer Certificate

Keywords

ANAEROBIC PROCESSQ3

ARTIFICIAL NEURAL NETWORKQ2

ORGANIC CONTENTQ3

NH4+-NQ3

LEACHATEQ3

Abstract

In this study, we present an ARTIFICIAL NEURAL NETWORK (ANN) model for predicting COD and NH4+-N concentrations in landfill leachate from lab-scale landfill bioreactors. For this purpose, two different lab-scale systems were modeled. for neural network’s data obtained. In the first system, the leachate from a fresh-waste reactor was drained to a recirculation tank and recycled every two days. In the second, the leachate from a fresh waste landfill reactor was fed through a well-decomposed refuse landfill reactor, while the leachate from a welldecomposed refuse landfill reactor was simultaneously recycled to a fresh waste landfill reactor. The results indicate that leachate NH4+-N and COD concentrations accumulated to a high level in the first system, while. NH4+-N and COD removals were successfully carried out in the second. Also, average removal efficiencies in the second system reached 85% and 34% for COD and NH4+-N, respectively. Finally, the ANN’s results exhibited the success of the model as witnessed by the excellent agreement obtained between measured and predicted values.

Cites

APPLICATION OF ARTIFICIAL NEURAL NETWORKS IN THE EVALUATION OF EKBATAN WASTEWATER TREATMENT PLANT

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APA: Copy

ZOUGHI, M.J., ZOUGHI, T., & SAEIDI, MOHSEN. (2010). PREDICTION OF COD AND NH4⁺-N CONCENTRATIONS IN LEACHATE FROM LABSCALE LANDFILL BIOREACTORS USING ARTIFICIAL NEURAL NETWORKS. WATER AND WASTEWATER, 21(2 (74)), 52-60. SID. https://sid.ir/paper/103384/en

Vancouver: Copy

ZOUGHI M.J., ZOUGHI T., SAEIDI MOHSEN. PREDICTION OF COD AND NH4⁺-N CONCENTRATIONS IN LEACHATE FROM LABSCALE LANDFILL BIOREACTORS USING ARTIFICIAL NEURAL NETWORKS. WATER AND WASTEWATER[Internet]. 2010;21(2 (74)):52-60. Available from: https://sid.ir/paper/103384/en

IEEE: Copy

M.J. ZOUGHI, T. ZOUGHI, and MOHSEN SAEIDI, “PREDICTION OF COD AND NH4⁺-N CONCENTRATIONS IN LEACHATE FROM LABSCALE LANDFILL BIOREACTORS USING ARTIFICIAL NEURAL NETWORKS,” WATER AND WASTEWATER, vol. 21, no. 2 (74), pp. 52–60, 2010, [Online]. Available: https://sid.ir/paper/103384/en

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