title: Transport of Escherichia coli bacteria through laboratory columns of glacial-outwash sediments: estimating model parameter values based on sediment characteristics.
abstract: Bacterial transport through cores of intact, glacial-outwash aquifer sediment was investigated with the overall goal of better understanding bacterial transport and developing a predictive capability based on the sediment characteristics. Variability was great among the cores. Normalized maximum bacterial-effluent concentrations ranged from 5.4x10(-7) to 0.36 and effluent recovery ranged from 2.9x10(-4) to 59%. Bacterial breakthrough was generally rapid with a sharp peak occurring nearly twice as early as the bromide peak. Bacterial breakthrough exhibited a long tail of relatively constant concentration averaging three orders of magnitude less than the peak concentration for up to 32 pore volumes. The tails were consistent with non-equilibrium detachment, corroborated by the results of flow interruption experiments. Bacterial breakthrough was accurately simulated with a transport model incorporating advection, dispersion and first-order non-equilibrium attachment/detachment. Relationships among bacterial transport and sediment characteristics were explored with multiple regression analyses. These analyses indicated that for these cores and experimental conditions, easily-measurable sediment characteristics--median grain size, degree of sorting, organic-matter content and hydraulic conductivity--accounted for 66%, 61% and 89% of the core-to-core variability in the bacterial effective porosity, dispersivity and attachment-rate coefficient, respectively. In addition, the bacterial effective porosity, median grain size and organic-matter content accounted for 76% of the inter-core variability in the detachment-rate coefficient. The resulting regression equations allow prediction of bacterial transport based on sediment characteristics and are a possible alternative to using colloid-filtration theory. Colloid-filtration theory, used without the benefit of running bacterial transport experiments, did not as accurately replicate the observed variability in the attachment-rate coefficient.
authors.affiliation: Department of Geology, Miami University, Oxford, OH 45056, USA. levyj@muohio.edu
authors.forename: J
authors.initials: J
authors.lastname: Levy
authors.forename: K
authors.initials: K
authors.lastname: Sun
authors.forename: R H
authors.initials: RH
authors.lastname: Findlay
authors.forename: F T
authors.initials: FT
authors.lastname: Farruggia
authors.forename: J
authors.initials: J
authors.lastname: Porter
authors.forename: K L
authors.initials: KL
authors.lastname: Mumy
authors.forename: J
authors.initials: J
authors.lastname: Tomaras
authors.forename: A
authors.initials: A
authors.lastname: Tomaras
mesh_terms: D001965:Bromides / Q000032:analysis; D019411:Clinical Laboratory Techniques / Q000295:instrumentation; D003198:Computer Simulation; D004926:Escherichia coli; D019015:Geologic Sediments / Q000737:chemistry / Q000382:microbiology*; D008962:Models, Theoretical; D016062:Porosity; D012988:Soil Microbiology; D014871:Water Microbiology; D014872:Water Movements; D014874:Water Pollutants, Chemical / Q000032:analysis
chemical_list: D001965:Bromides; D014874:Water Pollutants, Chemical