Estimation of leachate generation using a water balance approach in Halghe-Dareh landfill

Document Type : Research Paper

Authors

Department of Environmental Sciences, Faculty of Natural Resources, University of Tehran, Karaj

Abstract

Nowadays, waste management has become a serious concern of society due to increasing population growth rate and waste production. Despite efforts have been made to reduce the landfilling rate in Iran, a large amount of waste is still disposed of in landfills. Leachate generation is a major problem of landfills and, if not managed properly, it can cause significant threat to surface water and groundwater near to the landfill. Therefore, it is necessary to design a proper collection system to remove the leachate from landfill efficiently. Knowing the rate of leachate generation with reasonable accuracy is the critical input to design a landfill leachate collection system. In this study, a water balance method was used to estimate the amount of leachate produced in the Halgheh Darreh landfill of Karaj. In this model, we have considered a wide range of parameters that contribute to leachate generation in a landfill including rainfall, annual heat index, runoff, potential and actual evapotranspiration, the rate of leachate recirculation, evaporation from the surface of recirculation ponds, the amount of water used in gas production and also the initial moisture content of waste at the gate of landfill. The leachate generation rate was calculated for each month. In order to validate the results of the model, the actual leachate production was measured in December, January, February, March, April, May, June, and July. The comparison of the model estimates against the actual values measured at the site indicated an acceptable accuracy with a correlation coefficient (R) and the coefficient of determination (R2) equal to 0.966 and 0.933, respectively. Also, the root-mean-square error (RMSE) and mean absolute value of error percentage (MAPA) were 1328.27 and 9.17%, respectively, showing a small difference between the actual values and predicted values by the model. Also, the sensitivity analysis of the input parameters showed that the most important factor influencing the leachate generation is the moisture content of the incoming waste. The model developed in this study was a simple model and, with limited modification, it can be applied in other landfills located in arid regions of Iran.

Keywords

Al-Fatlawi, A. H. W. 2015. design a leachate collection system for a small camp sanitary landfill. Journal Impact Factor, 6(1), 07-18.
Alslaibi, T. M., Abustan, I., Mogheir, Y. K., & Afifi, S. 2013. Quantification of leachate discharged to groundwater using the water balance method and the Hydrologic Evaluation of Landfill Performance (HELP) model. Waste Management & Research, 31(1), 50-59.‏
Al-Yaqout, A. F., & Hamoda, M. F. 2003. Evaluation of landfill leachate in arid climate—a case study. Environment international, 29(5), 593-600.
Beck-Broichsitter, S., Gerke, H. H., & Horn, R. 2018. Assessment of leachate production from a municipal solid-waste landfill through water-balance modeling. Geosciences, 8(10), 372.‏
Chen, D., Gao, G., Xu, C. Y., Guo, J., & Ren, G. 2005. Comparison of the Thornthwaite method and pan data with the standard Penman-Monteith estimates of reference evapotranspiration in China. Climate Research, 28(2), 123-132.
Grugnaletti, M., Pantini, S., Verginelli, I., & Lombardi, F. 2016. An easy-to-use tool for the evaluation of leachate production at landfill sites. Waste management, 55, 204-219.
Ghiasinejad, H., Ghasemi, M., Pazoki, M., & Shariatmadari, N. 2020. Prediction of landfill leachate quantity in arid and semiarid climate: a case study of Aradkouh, Tehran. International Journal of Environmental Science and Technology, 1-12.‏
Hube, D., Gourcy, L., Gourry, J. C., & Guyonnet, D. 2011. Investigations of natural attenuation in groundwater near a landfill and implications for landfill post-closure. Waste management & research, 29(1), 77-88.
Lauwers, J., Appels, L., Thompson, I. P., Degrève, J., Van Impe, J. F., & Dewil, R. 2013. Mathematical modelling of anaerobic digestion of biomass and waste: Power and limitations. Progress in Energy and Combustion Science, 39(4), 383-402.
Moeinaddini, M., Khorasani, N., Danehkar, A., & Darvishsefat, A. A. 2010. Siting MSW landfill using weighted linear combination and analytical hierarchy process (AHP) methodology in GIS environment (case study: Karaj). Waste management, 30(5), 912-920.
Monavari, S. M., Tajziehchi, S., & Rahimi, R. 2014. Solid Waste Management Challenges in Metropolitan Areas of Karaj, IRAN.‏
Moghadam, M. A., Mokhtarani, N., & Mokhtarani, B. 2009. Municipal solid waste management in Rasht City, Iran. Waste Management, 29(1), 485-489.‏
Moriasi, D. N., Arnold, J. G., Van Liew, M. W., Bingner, R. L., Harmel, R. D., & Veith, T. L. 2007. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASABE, 50(3), 885-900.‏
Singh, A. 2019. Solid waste management through the applications of mathematical models. Resources, Conservation and Recycling, 151, 104503.‏
Seibert, D., Quesada, H., Bergamasco, R., Borba, F. H., & Pellenz, L. 2019. Presence of endocrine disrupting chemicals in sanitary landfill leachate, its treatment and degradation by Fenton based processes: A review. Process Safety and Environmental Protection, 131, 255-267.‏
São Mateus, M. D. S. C., Machado, S. L., & Barbosa, M. C. 2012. An attempt to perform water balance in a Brazilian municipal solid waste landfill. Waste Management, 32(3), 471-481.‏
Tchobanoglous, G. 2009. Solid waste management. Environmental engineering: environmental health and safety for municipal infrastructure, land use and planning, and industry. Wiley, New Jersey, 177-307.‏
U.S. EPA. May 2005. Landfill Gas Emissions Model (LandGEM), Version 3.02. EPA 600-R-05-047. http://www.epa.gov/ttn/catc/dir1/landgem-v302-guide.pdf and http://www.epa.gov/ttn/catc/products.html#software