4.7 Article

Numerical modeling of contaminant advection impact on hydrodynamic diffusion in a deformable medium

Journal

Publisher

SCIENCE PRESS
DOI: 10.1016/j.jrmge.2021.09.009

Keywords

Consolidation; Advection; Diffusion; Sorption

Funding

  1. National Natural Science Foundation of China [41772154]
  2. Natural Science Foundation of Shandong Province [ZR2019MA009]
  3. Science and Technology Project of Qingdao West Coast New Area [2019-47]

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The self-weight of solid waste and machine-rolled compaction can result in contaminant migration in landfills. The consolidation process has a significant impact on the transport of contaminants and should be given more attention.
The self-weight of solid waste or machine-rolled compaction can induce or trigger contaminant migration in the landfill. Although the consolidation-induced hydraulic gradient driving solution transport has been extensively investigated, little attention has been paid to ion migration caused by its concentration gradient variation. It is necessary to more precisely predict the multi-stage contaminant transports in deforming porous material. Based on the modified Cam-clay model, the proposed fluid-solid coupled model can simulate the elastoplastic deformation behavior of layered kaolinite and KBr solution transport/sorption, and its modeling results were validated by published laboratory data. The solid-fluid interactions were analyzed by comparing various transport manners of K+ and Br- from excess pore pressure generation to dissipation. Results reveal that the consolidation process can accelerate KBr solute advection from the contaminated layer into the uncontaminated layer, and then affects the subsequent diffusion, mechanical dispersion and sorption for K+ and Br-. The simulations also indicate that consolidation-induced solute transport is time-dependent, and therefore the ion diffusion and mechanical dispersion should receive more attention. (C) 2022 Institute of Rock and Soil Mechanics, Chinese Academy of Sciences. Production and hosting by Elsevier B.V.

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