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Development of a Conceptual, Mathematical and Model of System Dynamics for Landfill Water Treatment

Original scientific paper

Journal of Sustainable Development of Energy, Water and Environment Systems
Volume 11, Issue 3, 1110453
DOI: https://doi.org/10.13044/j.sdewes.d11.0453
Lovorka Gotal Dmitrovic
University North, Varazdin, Croatia


Leachate is a major problem in landfills due to the type and amount of pollutants. In Croatia, the usual way of handling leachate is recirculation back to the landfill body. However, this method poses a danger of their leakage into the environment, especially during periods of increased precipitation. Leachate is heavily polluted with organic matter, and its spillage into the environment can cause environmental incident. This paper presents a model for efficient treatment of landfill water contaminated with organic matter, based on the operating parameters of the actual water treatment system. The aim of this scientific research is to develop a model for landfill water treatment and to design a methodology suitable for significant patterns of organic matter pollution behaviour. The developed conceptual model is a computer-based model that uses randomly selected values from the theoretical probability distribution of the applied variables. The mathematical model is based on a system of differential equations solved by the Runge-Kutta method. To validate the model, a nonparametric test was applied, given that the distributions are asymmetric non-Gaussian distributions. The methodology proposed in this paper is based on simulation modelling as a useful method in environmental protection. The developed and validated model has proven that landfill water can be effectively and economically purified. Simulation modelling and environmental informatics can effectively contribute to solving environmental problems on the computer without unnecessary risk to the environment.

Keywords: Organic matter; Asymmetric non-Gaussian distributions; Simulation modelling; Environmental informatics; Runge-Kutta method

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