<p>This study aims to make a numerical-experimental investigation of the effects of soil particle size and sublayer permeability on solute transport in porous media. In the laboratory model, a non-decaying chemical dye solution is injected, and the pollution plume is obtained by recording at certain time intervals. Experimental results revealed that reducing particle size significantly increases contaminant travel time, with fine-grained soils exhibiting a 70% longer travel time than medium-grained soils. The developed numerical model employs an unstructured triangular finite volume algorithm that simulates the groundwater flow and migration of pollutants through porous media. The comparison between experimental and numerical results of the solute transport through homogenous soils indicated agreement with the results. Numerical results demonstrated that the downstream contaminant concentration decreased as the soil permeability decreased from coarse-grained to fine-grained soils, with concentrations decreasing from an initial value of 10–0.75&#xa0;mg/L in coarse-grained soil over a travel time of 1760s, and to 0.35&#xa0;mg/L in fine-grained soil over a travel time of 5860&#xa0;s. A sublayer's effect on groundwater flow and contaminant transport is numerically investigated. It revealed that the sub-layer's permeability substantially impacts the shape of the groundwater table and the control of pollution in heterogeneous media. Numerical simulations showed that sublayers with higher permeability reduced contaminant travel time by approximately 14%, whereas less permeable sublayers extended travel time by 40%. These findings underscore the dual importance of particle size and sublayer permeability in controlling contaminant transport and provide a robust framework for modeling and mitigating groundwater contamination.</p>

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Numerical and Experimental Simulation of Contaminant Transport Through Porous Media with a Sublayer

  • Hossein Ahmadi,
  • Fouad Kilanehei,
  • Farzad Mostafazadeh,
  • Mahmoud Hassanlourad

摘要

This study aims to make a numerical-experimental investigation of the effects of soil particle size and sublayer permeability on solute transport in porous media. In the laboratory model, a non-decaying chemical dye solution is injected, and the pollution plume is obtained by recording at certain time intervals. Experimental results revealed that reducing particle size significantly increases contaminant travel time, with fine-grained soils exhibiting a 70% longer travel time than medium-grained soils. The developed numerical model employs an unstructured triangular finite volume algorithm that simulates the groundwater flow and migration of pollutants through porous media. The comparison between experimental and numerical results of the solute transport through homogenous soils indicated agreement with the results. Numerical results demonstrated that the downstream contaminant concentration decreased as the soil permeability decreased from coarse-grained to fine-grained soils, with concentrations decreasing from an initial value of 10–0.75 mg/L in coarse-grained soil over a travel time of 1760s, and to 0.35 mg/L in fine-grained soil over a travel time of 5860 s. A sublayer's effect on groundwater flow and contaminant transport is numerically investigated. It revealed that the sub-layer's permeability substantially impacts the shape of the groundwater table and the control of pollution in heterogeneous media. Numerical simulations showed that sublayers with higher permeability reduced contaminant travel time by approximately 14%, whereas less permeable sublayers extended travel time by 40%. These findings underscore the dual importance of particle size and sublayer permeability in controlling contaminant transport and provide a robust framework for modeling and mitigating groundwater contamination.