Examining Fate and Transport of Heavy Metal in Landfill Site through Numerical Environmental Multimedia Modeling Approach

AbstractIn this study, the environmental multimedia model (EMM) is extended for assessing the heavy metal in a contaminated site. Using numerical analysis, the EMM is advanced as a numerical EMM system (NEMMS) including three computational modules for the source zone, unsaturated zone, and groundwat...

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Bibliographic Details
Published in:Journal of environmental engineering (New York, N.Y.) N.Y.), 2020-05, Vol.146 (5)
Main Authors: Dong, Jinxin, Chen, Zhi, Wang, Ke, Han, Yi, Guo, Jianbo
Format: Article
Language:English
Subjects:
Aeration zone
Analytical methods
Case studies
Computer applications
Computer simulation
Environment models
Exact solutions
Finite difference method
Finite element method
Groundwater
Heavy metals
Landfills
Mathematical models
Monte Carlo simulation
Multimedia
Numerical analysis
Numerical methods
Organic chemistry
Parameter sensitivity
Parameter uncertainty
Risk assessment
Sensitivity analysis
Soil contamination
Technical Papers
Transport
Waste disposal sites
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Summary:AbstractIn this study, the environmental multimedia model (EMM) is extended for assessing the heavy metal in a contaminated site. Using numerical analysis, the EMM is advanced as a numerical EMM system (NEMMS) including three computational modules for the source zone, unsaturated zone, and groundwater zone. The NEMMS incorporates a finite-difference method (FDM), finite-element method (FEM), and analytical solutions to analyze the transport of heavy metals in the environment. Additionally, Monte Carlo simulation (MCS) is conducted based on sensitivity analysis to quantify the propagation of parameter uncertainty for in-depth risk assessment. In the case study, the modeling results from both the numerical and analytical methods correspond well to the measured data. The FEM provides better results than FDM under the same conditions for the case study. The most sensitive parameters in the soil and groundwater zones are found to be the retardation factor and hydraulic conductivity. This indicates that the developed NEMMS can provide better spatial and temporal accuracy in assessing the chemical risks to the connected environmental media.
ISSN:0733-9372
1943-7870
DOI:10.1061/(ASCE)EE.1943-7870.0001684