Biodegradation during contaminant transport in porous media: 3. Apparent condition-dependency of growth-related coefficients

Li, Li; Yolcubal, İrfan; Sandrin, Susannah; Hu, Qinhong; Brusseau, Mark L.

doi:10.1016/s0169-7722(01)00111-5

Cited by 8 publications

(7 citation statements)

References 29 publications

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“…Sodium benzoate was used as the carbon source for biofilm growth and later for the reactive transport experiments (see next sections). Various types of DOC L were used in the literature for experiments on biodegradation processes, including acetate (e.g., Zarnetske et al 2011), glucose and arabinose (e.g., Leu et al 1998;Augspurger and K€ usel 2010;Singer et al 2011), and sodium benzoate (e.g., Çinar and Leslie Grady 2001;Li et al 2001), among other compounds. All of the above compounds are labile and possess typical chemical structures that are often observed in nature; thus, they are all suitable for evaluating the biodegradation of DOC L .…”

Section: Biofilm Growthmentioning

confidence: 99%

Biodegradation of labile dissolved organic carbon under losing and gaining streamflow conditions simulated in a laboratory flume

2016

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Carbon in surface waters is widely recognized as a key element that influences nutrient cycling, metal availability, and water quality. Its degradation in streams occurs primarily by benthic microbial communities that colonize the underlying sediment, which is commonly termed the hyporheic zone (HZ). The biodegradation of a labile dissolved organic carbon (DOCL), exemplified by sodium benzoate, was studied in a novel laboratory flume system under a combination of different overlying water velocities, losing or gaining fluxes, and biofilm distribution (“surficial” or “homogeneous distribution”). The overall objective of this study was to evaluate the effect of different flow conditions on DOCL biodegradation in the HZ. The results showed that overlying velocity was the dominant factor affecting DOCL biodegradation, regardless of biofilm distribution. Gaining flow conditions also induced a slight increase in the biodegradation rates as compared to losing or neutral flow conditions, due to additional oxygen input from the upwelling water. The aerobic reactive zone under all flow conditions was limited to the upper section of the benthic biofilm (several millimeters), where the surficial biofilm showed the highest activity. Our results demonstrate the processes affecting DOCL biodegradation in the hyporheic zone and will help to implement future modeling of DOC transport in streams.

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Section: Biofilm Growthmentioning

confidence: 99%

Biodegradation of labile dissolved organic carbon under losing and gaining streamflow conditions simulated in a laboratory flume

2016

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“…For example, biodegradation generally occurs in the aqueous phase, and predictive models that simulate contaminant degradation and cell growth rate will normally depend on the contaminant concentration [e.g., Li et al, 2001]. Thus predictions of microbial degradation are most likely to be different if nonideal dissolution is considered as compared to the typical assumption of ideal dissolution.…”

Section: Equilibrium-dissolution Simulationsmentioning

confidence: 99%

“…[27] While not investigated for this paper, consideration of nonideal dissolution will also influence predictions of CAH transport and fate downstream of the NAPL-mixture source zone by influencing other transport factors [Dugan and McCray, 2001]. For example, biodegradation generally occurs in the aqueous phase, and predictive models that simulate contaminant degradation and cell growth rate will normally depend on the contaminant concentration [e.g., Li et al, 2001]. Thus predictions of microbial degradation are most likely to be different if nonideal dissolution is considered as compared to the typical assumption of ideal dissolution.…”

Section: Equilibrium-dissolution Simulationsmentioning

confidence: 99%

Nonideal equilibrium dissolution of trichloroethene from a decane‐based nonaqueous phase liquid mixture: Experimental and modeling investigation

McCray

Dugan

2002

Water Resources Research

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[1] Batch equilibrium solubility studies were conducted to examine the solubilization behavior of a chlorinated solvent, trichloroethene (TCE), from a fuel-based nonaqueous phase liquid (NAPL) mixture. An alkane (n-decane) was used as a model compound because it is often a primary compound in jet fuel. The NAPL phase mole fractions of the chlorinated solvent in the mixture (X TCE N ) that were investigated are typical of in situ values found at industrial and military waste sites (0.0001 ! X TCE N 0.1). The measured aqueous concentrations of TCE were essentially equal to the concentrations predicted with ideal dissolution theory (Raoult's law) at X TCE N values near 0.1. However, the ratio of the measured concentration to the ideal concentration, or the NAPL phase activity coefficient (g N TCE ), increased nonlinearly as the X TCE N decreased. The g TCE N approached 6 at X TCE N = 0.0001. The UNIFAC method greatly underpredicts the g TCE N in this surrogate fuel. A NAPL-mixture equilibrium-dissolution model was developed that incorporates the observed nonideal dissolution. This model indicates that nonideal NAPL dissolution is 4 times faster than ideal dissolution for a hypothetical NAPL mixture with an initial X TCE N = 0.001. The magnitude of this effect becomes more important as the initial value of the X TCE N is decreased.

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“…Model calibration can contribute to parameter uncertainty through issues such as parameter cross correlation and nonuniqueness of solutions, and the use of inappropriate models. The influence of model calibration on biokinetic parameter uncertainty has been discussed for batch [ Grady et al , 1996; Liu and Zachara , 2001] and column [ Brusseau et al , 1992; Li et al , 2001] systems. Measurement‐associated uncertainty is likely to be of especially great significance for microbial systems, incorporating the effects of factors such as variability in metabolic status, condition‐specific sensitivity, intrapopulation variability, and community heterogeneity and dynamics, in addition to typical measurement errors.…”

Section: Introductionmentioning

confidence: 99%

“…Comparisons of batch and column results are often evaluated in terms of biokinetic parameters. The few studies that have investigated this issue have produced conflicting results in that similar biokinetic coefficients have been obtained in some cases, but not in others [ Angley et al , 1992; Estrella et al , 1993; Kelly et al , 1996; Langner et al , 1998; Guo and Wagenet , 1999; Guo et al , 1999; Li et al , 2001; Park et al , 2001; Phanikumar et al , 2002; Alshafie and Ghoshal , 2003]. The observed differences between batch and column parameter values have been attributed to several factors, including differences in hydrodynamic conditions, substrate supply, and nutrient availability.…”

Section: Introductionmentioning

confidence: 99%

Biodegradation during contaminant transport in porous media: 8. The influence of microbial system variability on transport behavior and parameter determination

Brusseau

Sandrin

et al. 2006

Water Resources Research

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[1] The impact of microbial system variability on the biodegradation and transport behavior of a model solute, salicylate, was investigated with a series of miscible displacement experiments. Four systems of increasing complexity were employed: a sterilized, well-sorted sand inoculated with a single bacterial isolate, a sterilized soil inoculated with the same isolate, and two soils, each of which contained an indigenous multiple-population community of bacteria. The experiments were conducted in replicate (three or four experiments per set) and with paired controls. The biodegradation and transport behavior of salicylate exhibited a small degree of variability among the replicates for the two inoculated systems and a relatively large degree of variability for the two indigenous systems. The greater variability observed for the two indigenous systems is attributed primarily to greater variability of microbial system properties, such as initial cell density, metabolic status, and community composition. Values for maximum specific growth rate coefficient, mean lag time, and lag time variance were determined by model calibration to the measured breakthrough curves and compared to values obtained from batch experiments. Reasonable correspondence was observed between the two sets of values for both the inoculated and indigenous systems. The maximum specific growth rate coefficient exhibited a relatively small degree of uncertainty for all four systems, whereas greater uncertainty was associated with the lag time mean and variance. The variability in calibrated parameters among each set of replicate experiments was significantly greater than the uncertainty associated with the individual experiment calibrations and the measured input parameters. These results illustrate that variability inherent to natural microbial systems can cause variability in transport behavior even under controlled laboratory conditions and concomitantly enhance the uncertainty of biokinetic parameters obtained from laboratory studies.

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Biodegradation during contaminant transport in porous media: 3. Apparent condition-dependency of growth-related coefficients

Cited by 8 publications

References 29 publications

Biodegradation of labile dissolved organic carbon under losing and gaining streamflow conditions simulated in a laboratory flume

Biodegradation of labile dissolved organic carbon under losing and gaining streamflow conditions simulated in a laboratory flume

Nonideal equilibrium dissolution of trichloroethene from a decane‐based nonaqueous phase liquid mixture: Experimental and modeling investigation

Biodegradation during contaminant transport in porous media: 8. The influence of microbial system variability on transport behavior and parameter determination

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