Multi-substrate, multi-option groundwater transport model

Zhenquan, Chen; McTernan, William F.

doi:10.1016/0169-7722(92)90018-a

Cited by 6 publications

(6 citation statements)

References 13 publications

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“…Column heads are defined as follows: SSE denotes sum of square errors; total, total degradation; Aer, aerobic degradation; Mn, manganese reduction; Fe, iron reduction; Meth, methanogenesis. lation results to experimental and simulation results published by Chen et al [1992], and simulation results obtained using the code developed by Kindred and Celia [1989]. In both cases the model results compared favorably.…”

Section: Parameter Sensitivitymentioning

confidence: 66%

“…To illustrate that BIOMOC correctly solves the governing equations in the model, two one-dimensional test cases are presented. The first test compares BIOMOC results to experimental and modeling results presented by Chen et al [1992] for toluene and benzene degradation. The second test is a (referred to as KC in the following discussion) was chosen for verification purposes because it is the most comprehensive of the models in terms of biodegradation processes (Table 1) and because of its accurate numerical method.…”

Section: Model Verificationmentioning

confidence: 99%

“…At the inlet the substrate, dissolved oxygen, nitrate, and nitrogen concentrations were fixed at 10, 3, 2, and 0.01 mg/L, recomparison to results obtained using the one-dimensional model of Kindred and Celia [1989] to simulate aerobic biodegradation and denitrification with cellular nutrient limitation. Figure 1 shows the experimental data, and the simulation results obtained by Chen et al [1992] and those obtained using BIOMOC with the multiple Monod formulation. The degree of agreement between the two models and the experimental results is striking given the significant differences in the modeling approaches.…”

Section: Model Verificationmentioning

confidence: 99%

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Simulation of aerobic and anaerobic biodegradation processes at a crude oil spill site

Essaid¹,

Bekins²,

Godsy³

et al. 1995

Water Resources Research

168

105

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A two-dimensional, multispecies reactive solute transport model with sequential aerobic and anaerobic degradation processes was developed and tested. The model was used to study the field-scale solute transport and degradation processes at the Bemidji, Minnesota, crude oil spill site. The simulations included the biodegradation of volatile and nonvolatile fractions of dissolved organic carbon by aerobic processes, manganese and iron reduction, and methanogenesis. Model parameter estimates were constrained by published Monod kinetic parameters, theoretical yield estimates, and field biomass measurements. Despite the considerable uncertainty in the model parameter estimates, results of simulations reproduced the general features of the observed groundwater plume and the measured bacterial concentrations. In the simulation, 46% of the total dissolved organic carbon (TDOC) introduced into the aquifer was degraded. Aerobic degradation accounted for 40% of the TDOC degraded. Anaerobic processes accounted for the remaining 60% of degradation of TDOC: 5% by Mn reduction, 19% by Fe reduction, and 36% by methanogenesis. Thus anaerobic processes account for more than half of the removal of DOC at this site. Introduction Experience obtained from remediation efforts at contaminated groundwater sites has demonstrated the limitations of pump-and-treat technology, especially at sites contaminated with nonaqueous phase liquids (NAPLs). Increasing effort isbeing devoted to the development and testing of alternative technologies [MacdonaM and Kavanaugh, 1994]. A promising alternative to traditional pump-and-treat methods is intrinsic bioremediation, a method that relies on the naturally occurring biodegradation processes at a site [Lee et al., 1988; Madsen, 1991; Bouwer and Zehnder, 1993; Salanitro, 1993]. Both aerobic and anaerobic biodegradation processes can be effective at removing hydrocarbons from the environment [Grbi&Gali•, 1991; Barker et al., 1987; Wilson et al., 1987; Chiang et al., 1989; Cozzarelli et al., 1990; Wilson et al., 1990; Acton and Barker, 1992; Lyngkilde and Christensen, 1992b; Thieftin et al., 1993; Baedecker et al., 1993; Eganhouse et al., 1993]. Long-term, detailed monitoring of the groundwater plume caused by a crude oil spill near Bemidji, Minnesota, has documented the importance of both aerobic and anaerobic biodegradation at this site [Baedecker et al., 1993]. The availability of electron acceptors determines the sequence of biodegradation processes. Based on the thermodynamics of reactions and redox potential, the theoretical sequence is aerobic degradation, followed by denitrification, manganese and iron reduction, sulfate reduction, and then methanogenesis. This sequence may cause zonation of a contaminant plume with different biodegradation processes dominating in each redox zone [Baedecker and Back, 1979; Chapelle This paper is not subject to U.S. copyright. Published in 1995 by the American Geophysical Union. Paper number 95WR02567. and Lovley, 1992; Lyngkilde and Christensen, 1992a; Vroblesky a...

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Section: Parameter Sensitivitymentioning

confidence: 66%

Section: Model Verificationmentioning

confidence: 99%

Section: Model Verificationmentioning

confidence: 99%

See 1 more Smart Citation

Simulation of aerobic and anaerobic biodegradation processes at a crude oil spill site

Essaid¹,

Bekins²,

Godsy³

et al. 1995

Water Resources Research

168

105

View full text Add to dashboard Cite

show abstract

“…where 𝑅 𝐶𝑒𝑙𝑙𝑠 is the rate of cell growth (mol C L -1 s -1 ) and 𝑏 is the first-order microbial decay coefficient (s -1 ). The value of 𝑏 was obtained from a report by Chen and McTernan (1992), who suggested a 𝑏 value for bacteria. The carbon content of the biomass was estimated on the basis of the carbon content of a bacterial cell (9.4×10 -14 g C/cell) (Acharya et al, 2019).…”

Section: Microbial Degradation For O-ncbmentioning

confidence: 99%

“…a 𝑘 1 = 6.42×10 -6 a Data obtained based on Table S4; b Data from (la Cecilia and Maggi, 2016); c Data from (Malaguerra et al, 2011); d Data from (Carboneras et al, 2017); e Data from (Vasiliadou et al, 2015); f Data from (Verce et al, 2000); g Data from (Akobi et al, 2017); h Data from (Chen and McTernan, 1992); i Data from (Acharya et al, 2019); j Data from (Schafer et al, 1998).…”

Section: Changes In Microbial Community Structuresmentioning

confidence: 99%

A novel permeable reactive biobarrier for ortho-nitrochlorobenzene pollution control in groundwater: Experimental evaluation and kinetic modelling

Liu

Chen

Banwart

et al. 2021

Journal of Hazardous Materials

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Modelling the fate of oxidisable organic contaminants in groundwater

Barry

Prommer

Miller

et al. 2002

Advances in Water Resources

168

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Contamination by organic chemicals is a pervasive environmental problem, susceptible to remediation by natural or enhanced attenuation approaches or more highly engineered methods such as pump-and-treat, amongst others. Such remediation approaches, along with risk assessment or the pressing need to address complex scientific questions, have driven the development of integrated modelling tools that incorporate physical, biological and geochemical processes.We provide a comprehensive modelling framework, including geochemical reactions and interphase mass transfer processes such as sorption/desorption, NAPL dissolution and mineral precipitatation/dissolution, all of which can be in equilibrium or kinetically controlled. This framework is used to simulate microbially Preprint submitted to Elsevier Preprint 3 June 2002 mediated transformation/degradation processes and the attendant microbial population growth and decay. Solution algorithms, particularly the split-operator (SO) approach, are described, along with a brief résumé of numerical solution methods. Some of the available numerical models are described, mainly those constructed using available flow, transport and geochemical reaction packages. The general modelling framework is illustrated by pertinent examples, showing the degradation of dissolved organics by microbial activity limited by the availability of nutrients or electron acceptors (i.e., changing redox states), as well as concomitant secondary reactions. Two field-scale modelling examples are discussed, the Vejen landfill (Denmark) and an example where metal contamination is remediated by redox changes wrought by injection of a dissolved organic compound. A summary is provided of current and likely future challenges to modelling of oxidisable organics in the subsurface.

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Multi-substrate, multi-option groundwater transport model

Cited by 6 publications

References 13 publications

Simulation of aerobic and anaerobic biodegradation processes at a crude oil spill site

Simulation of aerobic and anaerobic biodegradation processes at a crude oil spill site

A novel permeable reactive biobarrier for ortho-nitrochlorobenzene pollution control in groundwater: Experimental evaluation and kinetic modelling

Modelling the fate of oxidisable organic contaminants in groundwater

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