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Microbially induced calcite precipitation (MICP) is a bio-mediated cementation process that improves the geotechnical properties of soils through the precipitation of calcite at soil particle contacts. This study presents a field-scale, surficial application of MICP to improve the erosion resistance of loose sand deposits and provide surface stabilisation for dust control and future re-vegetation. Three test plots were treated with a bacterial culture and nutrient solutions at varying concentrations, and a fourth test plot served as a control. Improvement was assessed to a depth of 40 cm using dynamic cone penetration (DCP) testing and calcite content measurements. The most improved test plot received the lowest concentrations of urea and calcium chloride and developed a stiff crust measuring 2·5 cm thick, which exhibited increased resistance to erosion. DCP testing and calcite content measurements indicated improvement to a depth of approximately 28 cm near the targeted depth of 30 cm. The results suggest that further optimisation of solutions and techniques could render MICP viable for larger-scale applications.

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Microbially Induced Calcite Precipitation (MICP) is a biomediated soil cementation process that offers an environmentally conscious alternative to conventional geotechnical soil improvement technologies. This study provides the first comparison of ureolytic bacteria isolated from sand cemented in parallel, meter-scale, MICP experiments using either biostimulation or bioaugmentation approaches, wherein colonies resembling the augmented strain ( Sporosarcina pasteurii ATCC 11859) were interrogated. Over the 13 day experiment, 47 of the 57 isolates collected were strains of Sporosarcina and the diversity of these strains was high, with 20 distinct strains belonging to 5 species identified. Although the S. pasteurii inoculant used for augmentation was recovered immediately after introduction in the augmented specimen, the strain was not recovered after 8 days in either augmented or stimulated soils, suggesting that it competes poorly with indigenous bacteria. Past studies on the physiological properties of S. pasteurii ATCC 11859 suggest that close relatives may have selective advantages under the biogeochemical conditions employed during MICP; however, the extent to which these properties apply to isolates of the current study is unknown. Whole cell urease kinetic properties were investigated for representative isolates and suggest up to 100-fold higher rates of carbonate production when compared to other biomediated processes proposed for MICP.

Design of in situ microbially induced calcite precipitation (MICP) strategies relies on a predictive capability. To date much of the mathematical modeling of MICP has focused on small‐scale experiments and/or one‐dimensional flow in porous media, and successful parameterizations of models in these settings may not pertain to larger scales or to nonuniform, transient flows. Our objective in this article is to report on modeling to test our ability to predict behavior of MICP under controlled conditions in a meter‐scale tank experiment with transient nonuniform transport in a natural soil, using independently determined parameters. Flow in the tank was controlled by three wells, via a complex cycle of injection/withdrawals followed by no‐flow intervals. Different injection solution recipes were used in sequence for transport characterization, biostimulation, cementation, and groundwater rinse phases of the 17 day experiment. Reaction kinetics were calibrated using separate column experiments designed with a similar sequence of phases. This allowed for a parsimonious modeling approach with zero fitting parameters for the tank experiment. These experiments and data were simulated using PHT3‐D, involving transient nonuniform flow, alternating low and high Damköhler reactive transport, and combined equilibrium and kinetically controlled biogeochemical reactions. The assumption that microbes mediating the reaction were exclusively sessile, and with constant activity, in conjunction with the foregoing treatment of the reaction network, provided for efficient and accurate modeling of the entire process leading to nonuniform calcite precipitation. This analysis suggests that under the biostimulation conditions applied here the assumption of steady state sessile biocatalyst suffices to describe the microbially mediated calcite precipitation.