Prediction of COD and NH4+-N Concentrations in Leachate from Lab-scale Landfill Bioreactors Using Artificial Neural Networks

Document Type : Research Paper

Authors

1 M.Sc. of Environmental Eng., Faculty Member of Environmental Research Institute of Jahad Daneshgahi, Rasht

2 M.Sc. of Artificial Intelligence, Dept. of Computer Engineering, Shiraz University

3 Assoc. Prof., Dept. of Hydraulic and Environmental Eng., School of Civil Eng., Iran Uni. of Science and Tech., Tehran

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 well-decomposed 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.

Keywords

References

1- Reinhart, D.R., and Al-Yousfi, B. (1996). “The impact of leachate recirculation on municipal solid waste landfill operating characteristics.” Waste Management and Research, 14 (4), 337-346.
2- O’Keefe, D.M., and Chynoweth, D.P. (2000). “Influence of phase separation, leachate recycle and aeration on treatment of municipal solid waste in simulated landfill cells.” Bioresour. Technol, 72 (1), 55-66.
3- Forgie, D.J.L. (1988). “Selection of the most appropriate leachate treatment methods part 1: a review of potential biological leachate treatment methods.” Water. Poll. Res., 23(2), 308-328.
4- Quasim, S. R., and Chiang, W. (1994). Sanitary Landfill leachate: Generation, control, and treatment, Technomic Publishing,Lancaster,PA.
5- El-Fadel, M., Findikakis, A.N., and Leckie, J.O. (1997). “Environmental impacts of solid waste landfilling.”
J. of Environmental Management, 50 (1),1-25.
6- Kjeldsen, P., Barlaz, M. A., Rooker, A. P., Baun, A., and Ledin, A.(2002). “Present and long-term composition of MSW landfill leachate: A review.” Critical Reviews Environmental Science and Technology, 32 (4), 297-336.
7- Amokrane, A., Comel, C., and Veron, J. (1997). “Landfill leachates pre-treatment by coagulation flocculation.” Water Res., 31 (11), 2775-2782.
8- Knox, K. (1985). “Leachate treatment with nitrification of ammonia.” Water Research, 19 (7), 895-904.
9- Pohland, F.G., and Al-Yousfi, B. (1994). “Design and operation of landfills for optimum stabilization and biogas production.” Water Science and Technology, 30 (12), 117-124.
10- Demir, A., Bilgili, M.S., and Ozkaya, B. (2004). “Effect of leachate recirculation on refuse decomposition rates at landfill site: A case study.” International J. of Environmental and Pollution, 21 (2), 175-188.
11- Bestamin, O., and Ahmet, D. (2007). “Neural network prediction model for the methane fraction inbiogas from field-scale landfill bioreactors.” Environmental Modelling and Software, 22 (6), 815-822
12- Rodriguez, M.J., and Se´rodes, J.B. (1999). “Assessing empirical linear and non-linear modelling of residual chlorine in urban drinking water systems.” Environmental Modelling and Software, 14 (1), 93-102.
13- Onkal-Engin, G., Demir, I., and Engin, S.N. (2005). “Determination of the relationship between sewage odour and BOD by neural networks.” Environmental Modeling and Software, 20 (7), 843-850.
14- Kolehmainen, M., Martikainen, H., and Ruuskanen, J. (2001). “Neural networks and periodic components used in air quality forecasting.” Atmospheric Environment, 35 (5), 815-825
15- EPA. (2004). Environmental Guidelines : Landfill siting, design, operation and rehabilitation,Environmental Protection Agency,Queensland.
16- APHA., AWWA., and WPCF. (1992). Standard methods for the examination of water and wastewater, 16th  Ed., American Public Health Association, American Water Works Association and Water Pollution Control Federation, Washington D.C.
17- Reinhart, D.R., and Grosh, C.J. (1998). Analysis of florida MSW landfill leachate quality, Final Reactor, Center of Solid and HazardousWaste Management, Florida.
18- Benson, C. H., Barlaz, M. A., Lane, D. T., and Rawe, J. M. (2007). “Practice review of five bioreactor/recirculation landfills.” Waste Management, 27 (1), 13-29.
19- Wang, S., Wu, X., Wang, Y., Li, Q., and Tao., M. (2008). “Removal of organic matter and ammonia nitrogen from landfill leachate by ultrasound.” Ultrasonics Sonochemistry, 15 (6), 933-937.
20- Marttinen, S.K., Kettunen, R.H., and Rintala, J.A. (2003). “Occurrence and removal of organic pollutants in sewages and landfill leachates.” Sci. Total Environ., 301 (1-3), 1-12.
21- Kang, K.H., Shin, H.S., and Park, H. (2002). “Characterization of humic substances present in landfill leachates with different landfill ages and its implications.” Water Res., 36, 4023-4032.
22- Kettunen, R.H., Hoilijoki, T.H., and Rintala, J.A. (1996). “Anaerobic and sequential anaerobic-aerobic treatments of municipal landfill leachate at low temperatures.” Bioresour. Technol., 58 (1), 31-40.
23- He, P.J., Shao, L.M., Guo, H.D., Li, G.J., and Lee, D.J. (2006). “Nitrogen removal from recycled landfill leachate by ex situ nitrification and in situ denitrification.” Waste Manage, 26 (8), 838-845.
24- Reinhart, D. R., and Townsend, T. G. (1997). Landfill bioreactor design and operation, Lewis Publishers,New York.
25- Almasri, M.N., and Kaluarachchi, J.J. (2005). “Modular neural networks to predict the nitrate distribution in groundwater using the onground nitrogen loading and recharge data.” Environmental Modeling and Software, 20 (7), 851- 871
.
Journal of Water and Wastewater; Ab va Fazilab ( in persian )
Volume 21, Issue 2 - Serial Number 2
Serial number:74
May and June 2010
Pages 52-60

Files

Share

How to cite

Statistics