Modeling microbial processes in porous media |
| |
Authors: | Ellyn M Murphy Timothy R Ginn |
| |
Institution: | (1) Interfacial Geochemistry Group, Pacific Northwest National Laboratory, MSIN K3–61, P.O. Box 999 Richland, Washington 99352, USA e-mail: ellyn.murphy@pnl.gov Fax: +1-509-3756954, US;(2) 172 Everson Hall, Department of Civil and Environmental Engineering, University of California Davis Davis, California 95616–5294, USA, US |
| |
Abstract: | The incorporation of microbial processes into reactive transport models has generally proceeded along two separate lines
of investigation: (1) transport of bacteria as inert colloids in porous media, and (2) the biodegradation of dissolved contaminants
by a stationary phase of bacteria. Research over the last decade has indicated that these processes are closely linked. This
linkage may occur when a change in metabolic activity alters the attachment/detachment rates of bacteria to surfaces, either
promoting or retarding bacterial transport in a groundwater-contaminant plume. Changes in metabolic activity, in turn, are
controlled by the time of exposure of the microbes to electron acceptors/donor and other components affecting activity. Similarly,
metabolic activity can affect the reversibility of attachment, depending on the residence time of active microbes. Thus, improvements in quantitative analysis of active
subsurface biota necessitate direct linkages between substrate availability, metabolic activity, growth, and attachment/detachment
rates. This linkage requires both a detailed understanding of the biological processes and robust quantitative representations
of these processes that can be tested experimentally. This paper presents an overview of current approaches used to represent
physicochemical and biological processes in porous media, along with new conceptual approaches that link metabolic activity
with partitioning of the microorganism between the aqueous and solid phases.
Received, January 1999 · Revised, June 1999, July 1999 · Accepted, October 1999 |
| |
Keywords: | contamination bacterial transport numerical modeling microbial processes |
本文献已被 SpringerLink 等数据库收录! |
|