Distribution of biofilm thickness in porous media and implications for permeability models

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• 作者：Shujun Ye ; Yanhong Zhang ; Brent E. Sleep
• 关键词：Bioclogging ; Permeability ; Biofilm ; Bioremediation ; Geostatistics
• 刊名：Hydrogeology Journal
• 出版年：2015
• 出版时间：December 2015
• 年：2015
• 卷：23
• 期：8
• 页码：1695-1702
• 全文大小：2,102 KB
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• 作者单位：Shujun Ye (1)
  Yanhong Zhang (1)
  Brent E. Sleep (2)
  
  1. Key Laboratory of Surficial Geochemistry, Ministry of Education, School of Earth Sciences and Engineering, Nanjing University, Nanjing, 210093, China
  2. Department of Civil Engineering, University of Toronto, Toronto, ON, Canada, M5S 1A4
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Earth sciences
  Hydrogeology
  Geology
  Waste Water Technology, Water Pollution Control, Water Management and Aquatic Pollution
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1435-0157

文摘

The distribution of biofilm thickness on individual sand grains in a two-dimensional sand-filled cell maintained under anaerobic conditions was investigated. The cell was inoculated with a mixed microbial culture fed with methanol. Concentrations of biomass attached to the sand and suspended in the water in the cell were determined by protein analysis. The biofilm thickness on individual sand grains was investigated with confocal laser scanning microscopy (CLSM), and was found to follow a normal distribution with a mean range of 59-16 μ and standard deviations of 30-7 μ. The bulk average permeability reduction factor is 8. To investigate the implications of the variability of biofilm thicknesses, four models were used to calculate reductions in porous media permeability. Taylor’s model predicted a reduction by a factor ranging from 14 to 5,000 (from minimum to maximum mean biofilm thickness). Vandevivere’s model predicted a reduction in permeability by a factor ranging from 769 to 3,846 (from minimum to maximum mean biofilm thickness). Seki’s model did not give physically meaningful results in this study. Clement’s model predicted reduction by a factor ranging from 1 to 1.14 over the range of biomass levels observed in the cell. Data on the statistical and normal distributions of biofilm thickness in porous media, and assessment of their implications with respect to different permeability models, could lead to better understanding of the extent of bioclogging associated with field implementation of bioremediation of contaminants in aquifers. Keywords Bioclogging Permeability Biofilm Bioremediation Geostatistics