Forward and Inverse Bio-Geochemical Modeling of Microbially Induced Calcite Precipitation in Half-Meter Column Experiments

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• 作者：T. H. Barkouki (1)
  B. C. Martinez (1)
  B. M. Mortensen (1)
  T. S. Weathers (1)
  J. D. De Jong (1)
  T. R. Ginn (1) trginn@ucdavis.edu
  N. F. Spycher (2)
  R. W. Smith (3)
  Y. Fujita (4)
• 关键词：Calcite precipitation – ; Urea hydrolysis – ; Ureolysis – ; Strontium remediation – ; Soil improvement – ; Inverse – ; Biogeochemistry – ; Biogeochemical – ; Biogrout – ; Biocementation – ; Bioremediation – ; Reactivetransport
• 刊名：Transport in Porous Media
• 出版年：2011
• 出版时间：October 2011
• 年：2011
• 卷：90
• 期：1
• 页码：23-39
• 全文大小：818.4 KB
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• 作者单位：1. Department of Civil and Environmental Engineering, University of California, Davis, USA2. Division of Earth Sciences, Lawrence Berkeley National Laboratory, Berkeley, USA3. Department of Biological and Agricultural Engineering, University of Idaho, Idaho Falls, USA4. Department of Biological Sciences, Idaho National Laboratory, Idaho Falls, USA
• 刊物类别：Earth and Environmental Science
• 刊物主题：Earth sciences
  Geotechnical Engineering
  Industrial Chemistry and Chemical Engineering
  Civil Engineering
  Hydrogeology
  Mechanics, Fluids and Thermodynamics
  
• 出版者：Springer Netherlands
• ISSN：1573-1634

文摘

Microbially induced calcite precipitation (MICP) offers an alternative solution to a wide range of civil engineering problems. Laboratory tests have shown that MICP can immobilize trace metals and radionuclides through co-precipitation with calcium carbonate. MICP has also been shown to improve the undrained shear response of soils and offers potential benefits over current ground improvement techniques that may pose environmental risks and suffer from low “certainty of execution.” Our objective is to identify an effective means of achieving uniform distribution of precipitate in a one-dimensional porous medium. Our approach involves column experiments and numerical modeling of MICP in both forward and inverse senses, using a simplified reaction network, with the bacterial strain Sporoscarcina pasteurii. It was found that the stop-flow injection of a urea- and calcium-rich solution produces a more uniform calcite distribution as compared to a continuous injection method, even when both methods involve flow in opposite direction to that used for bacterial cell emplacement. Inverse modeling was conducted by coupling the reactive transport code TOUGHREACT to UCODE for estimating chemical reaction rate parameters with a good match to the experimental data. It was found, however, that the choice of parameters and data was not sufficient to determine a unique solution, and our findings suggest that additional time and space-varying analytical data of aqueous species would improve the accuracy of numerical modeling of MICP.