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Estimation of Vertical Barrier Performance Based on Microbial Improvement

  • Yu Zhang
  • Lingling Pan
  • Wang Fei
  • Zhu Ning
  • Qiang Tang
Conference paper
Part of the Environmental Science and Engineering book series (ESE)

Abstract

Sanitary landfilling is nowadays the most common way to eliminate municipal solid wastes. However, the durability of landfill is mainly determined by the anti-seepage property of vertical cutoff walls. As microorganism has proved effective in plugging micro-pores, and greatly enhance the barrier performance of cutoff wall for MSW landfills. In this study, Escherichia coli. was selected for preconditioning towards compacted soil specimens and the hydraulic behaviours of the specimens were evaluated. According to the results, the huge amounts of microbial exopolysaccharides produced by Escherichia coli. encountered in the soil pores and formed a pore plugging, eventually caused 81–95% decrease in the hydraulic conductivity, from the initial value 5.3 × 10−5–5.6 × 10−6 cm/s to the stable value 3.1 × 10−6–2.9 × 10−7 cm/s (dropped by 1–2 orders of magnitude). The introduction of clay leads to the increase of surface roughness inside the internal pores as well as the diminution of shear forces, resulted in more effective adhesion between microorganism colonization and the surface of the particles. Subsequently, an extensive parametric analysis was conducted by numerical simulation to investigate the transport behaviour of contaminant through vertical cutoff walls. Several decrease of orders of magnitude in the hydraulic conductivity from 1 × 10−8 to 1 × 10−10 m/s resulted in the dramatical increase of the breakthrough time by 431.2% which revealed that a low hydraulic conductivity was of significance for vertical cutoff walls to achieve desirable barrier performance.

Keywords

Landfill Cutoff wall Barrier performance Hydraulic conductivity Contaminant transport Bioclogging 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Yu Zhang
    • 1
  • Lingling Pan
    • 1
  • Wang Fei
    • 2
  • Zhu Ning
    • 2
  • Qiang Tang
    • 1
  1. 1.School of Urban Rail TransportationSoochow UniversitySuzhouChina
  2. 2.Suzhou Rail Transit Group Co., LtdSuzhouChina

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