Mass-transfer limitations for macroscale bioremediation modeling and implications on aquifer clogging

Citation
Tr. Macdonald et al., Mass-transfer limitations for macroscale bioremediation modeling and implications on aquifer clogging, GROUND WATE, 37(4), 1999, pp. 523-531
Citations number
35
Categorie Soggetti
Environment/Ecology,"Civil Engineering
Journal title
GROUND WATER
ISSN journal
0017467X → ACNP
Volume
37
Issue
4
Year of publication
1999
Pages
523 - 531
Database
ISI
SICI code
0017-467X(199907/08)37:4<523:MLFMBM>2.0.ZU;2-I
Abstract
In engineered in situ bioremediation, substrates are injected into the subs urface to stimulate microbial metabolism and growth. Models are useful in t he design and optimization of such systems, such as in devising strategies to prevent clogging of soil by large bacterial populations around wells, Su ch models are macroscale, i.e., they do not resolve pore-scale variability; rather, substrate and biomass concentrations are bulk averages that vary f rom block to block, These models give unrealistic predictions, in that they predict monotonically increasing biomass growth everywhere except where th e Limiting substrate concentration is very small, This work examines the po ssibility of biofilm mass-transfer limitations at the pore scale using both the traditional biofilm model as well as previously published results from an upscaling model, Results from the biofilm model suggest that limitation s on biofilm growth due to mass-transfer resistance could be significant in coarse-grained soils with adequate substrate availability, The upscaling a pproach confirms this result, While these two approaches do not yield ident ical results, both do agree that coarser grain sizes tend to cause greater mass transfer resistance. These are the conditions most likely to occur nea r injection well screens of an enhanced bioremediation system, where cloggi ng is most commonly observed, The upscaling approach also indicates that th e degree of mass transfer resistance is reduced at higher ground water velo cities, which are also most commonly observed near well screens. These resu lts could be useful for improving macroscale bioremediation models to more accurately predict rates of biomass growth and aquifer clogging.