Modeling Microorganism Transport and Survival in the Subsurface

• Published in: Journal of environmental quality Vol. 43; no. 2; pp. 421 - 440
• Main Authors: Bradford, Scott A., Wang, Yusong, Kim, Hyunjung, Torkzaban, Saeed, Šimůnek, Jiri
• Format: Journal Article
• Language: English
• Published: United States The American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Inc 01-03-2014; American Society of Agronomy
• Subjects: Air-water interface; Computer simulation; Dynamical systems; E coli; Escherichia coli; Mathematical analysis; Mathematical models; Microorganisms; Nutrient concentrations; Nutrients; Public health; Retention; Survival; Transport
• ISSN: 0047-2425; 1537-2537
• DOI: 10.2134/jeq2013.05.0212

An understanding of microbial transport and survival in the subsurface is needed for public health, environmental applications, and industrial processes. Much research has therefore been directed to quantify mechanisms influencing microbial fate, and the results demonstrate a complex coupling among many physical, chemical, and biological factors. Mathematical models can be used to help understand and predict the complexities of microbial transport and survival in the subsurface under given assumptions and conditions. This review highlights existing model formulations that can be used for this purpose. In particular, we discuss models based on the advection–dispersion equation, with terms for kinetic retention to solid–water and/or air–water interfaces; blocking and ripening; release that is dependent on the resident time, diffusion, and transients in solution chemistry, water velocity, and water saturation; and microbial decay (first‐order and Weibull) and growth (logistic and Monod) that is dependent on temperature, nutrient concentration, and/or microbial concentration. We highlight a two‐region model to account for microbe migration in the vicinity of a solid phase and use it to simulate the coupled transport and survival of Escherichia coli species under a variety of environmentally relevant scenarios. This review identifies challenges and limitations of models to describe and predict microbial transport and survival. In particular, many model parameters have to be optimized to simulate a diversity of observed transport, retention, and survival behavior at the laboratory scale. Improved theory and models are needed to predict the fate of microorganisms in natural subsurface systems that are highly dynamic and heterogeneous.