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Biogeochemical Model for Soil Improvement by Denitrification

生物地球化学循环 反硝化 化学 环境科学 碳酸钙 土壤水分 土壤科学 环境化学 氮气 化学工程 工程类 有机化学
作者
Sean T. O’Donnell,Caitlyn Hall,Edward Kavazanjian,Bruce E. Rittmann
出处
期刊:Journal of Geotechnical and Geoenvironmental Engineering [American Society of Civil Engineers]
卷期号:145 (11) 被引量:32
标识
DOI:10.1061/(asce)gt.1943-5606.0002126
摘要

A biogeochemical model describing the rate at which calcium carbonate (CaCO3) is precipitated from the pore water and biogas (carbon dioxide and nitrogen gas) is generated by dissimilatory reduction of nitrate (denitrification) through microbially induced desaturation and precipitation (MIDP) has been developed. Both CaCO3 precipitation and desaturation via biogas formation can improve the static and cyclic mechanical properties of granular soil. CaCO3 precipitation can improve the static and cyclic stiffness, shear strength, and volume change characteristics of granular soil. Desaturation via biogenic gas generation suppresses excess pore pressure development and thereby improves the cyclic shear resistance of granular soil. MIDP represents the combined effect of these two mechanisms. Effective implementation of MIDP for ground improvement demands quantitative understanding of the rate at which both mechanisms occur. The biogeochemical model developed herein is an upgrade of the model presented in earlier research; it includes additional features, such as inhibition terms, an expanded number of organic substrates, and a greater number of chemical constituents. It predicts the rate of CaCO3 precipitation and gas production by integrating stoichiometry, thermodynamics, microbial growth kinetics, and chemical reaction kinetics for a continuously stirred batch reactor. The model was calibrated using results from laboratory test columns. Sensitivity analyses conducted using the calibrated model identified a molar ratio for acetate:calcium:nitrate of 0.9∶1.0∶1.0 as the preferred ratio for maximizing CaCO3 precipitation and gas generation while avoiding excess residuals in the modeled batch reactor system.

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