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A novel mathematical modelling for simulating the spread of heavy metals in solid waste landfills

A novel mathematical modelling for simulating the spread of heavy metals in solid waste landfills

Hoang, Ngoc Ha, Chu, Anh My, Nguyen, Kim Thai Thi and Le, Chi Hieu ORCID: 0000-0002-5168-2297 (2021) A novel mathematical modelling for simulating the spread of heavy metals in solid waste landfills. Environmental Engineering Research, 27 (3):210007. ISSN 1226-1025 (Print), 2005-968X (Online) (doi:https://doi.org/10.4491/eer.2021.007)

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Abstract

Municipal solid waste (MSW) landfills create the environmental pollutions due to problems related to toxins, leachate, and greenhouse gas, which are the growing environmental concerns, especially in developing countries. This paper presents a novel mathematical modelling for simulating the spread of heavy metals in soil layers in the MSW landfills. A new mathematical modelling procedure is studied for deriving the governing equation which describes the time varying concentration of pollutants in the leachate in a 3-dimensional (3D) space of soil layers. A Finite Element Method (FEM) based algorithm is then constructed to solve numerically the governing equation over time in 3D space for effectively analyzing the variation of pollutants concentrations. Finally, the applicability and advantages of the proposed novel method are demonstrated through the case study with soil samples collected from the actual MSW landfill. The successfully developed algorithm can be applied to model and predict the spread of different heavy metals in the MSW landfill sites; and to develop effective solutions and policies for solid waste classification and management, in order to minimise the negative impacts from the potential risk of the toxic heavy metal pollutions, soil contaminations and groundwater pollutions in the areas nearby the MSW landfill.

Item Type: Article
Uncontrolled Keywords: analytical modeling; finite element method, heavy metal pollution, leachate immigration, municipal solid waste
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > School of Engineering (ENN)
Last Modified: 07 Jun 2021 10:22
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/32854

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