Biodegradation Modeling at Aviation Fuel Spill Site

Rifai, Hanadi S.; Bedient, Philip B.; Wilson, John T.; Miller, Kathleen A.; Armstrong, John

doi:10.1061/(asce)0733-9372(1988)114:5(1007)

Cited by 98 publications

(41 citation statements)

References 9 publications

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“…Many studies of hydrocarbon attenuation at field sites have involved numerical modeling (Borden et al, 1986;Rifai et al, 1988;Chiang et al, 1989;MacQuarrie et al, 1990;Thierrin et al, 1993;Essaid et al, 1995;Landmeyer et al, 1996;Lu et al, 1999;Schirmer et al, 2000). In general, these models have had limited data sets, have not included dissolution processes, and have relied on trial and error calibration.…”

Section: Introductionmentioning

confidence: 99%

Inverse modeling of BTEX dissolution and biodegradation at the Bemidji, MN crude-oil spill site

Essaid

Cozzarelli

Eganhouse

et al. 2003

Journal of Contaminant Hydrology

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The U.S. Geological Survey (USGS) solute transport and biodegradation code BIOMOC was used in conjunction with the USGS universal inverse modeling code UCODE to quantify field-scale hydrocarbon dissolution and biodegradation at the USGS Toxic Substances Hydrology Program crude-oil spill research site located near Bemidji, MN. This inverse modeling effort used the extensive historical data compiled at the Bemidji site from 1986 to 1997 and incorporated a multicomponent transport and biodegradation model. Inverse modeling was successful when coupled transport and degradation processes were incorporated into the model and a single dissolution rate coefficient was used for all BTEX components. Assuming a stationary oil body, we simulated benzene, toluene, ethylbenzene, m,p-xylene, and o-xylene (BTEX) concentrations in the oil and ground water, respectively, as well as dissolved oxygen. Dissolution from the oil phase and aerobic and anaerobic degradation processes were represented. The parameters estimated were the recharge rate, hydraulic conductivity, dissolution rate coefficient, individual first-order BTEX anaerobic degradation rates, and transverse dispersivity. Results were similar for simulations obtained using several alternative conceptual models of the hydrologic system and biodegradation processes. The dissolved BTEX concentration data were not sufficient to discriminate between these conceptual models. The calibrated simulations reproduced the general large-scale evolution of the plume, but did not reproduce the observed small-scale spatial and temporal variability in concentrations. The estimated anaerobic biodegradation rates for toluene and o-xylene were greater than the dissolution rate coefficient. However, the estimated anaerobic biodegradation rates for benzene, ethylbenzene, and m,p-xylene were less than the dissolution rate coefficient. The calibrated model was used to determine the BTEX mass balance in the oil body and groundwater plume. This article is a U.S. government work, and is not subject to copyright in the United States.Dissolution from the oil body was greatest for compounds with large effective solubilities (benzene) and with large degradation rates (toluene and o-xylene). Anaerobic degradation removed 77% of the BTEX that dissolved into the water phase and aerobic degradation removed 17%. Although goodness-of-fit measures for the alternative conceptual models were not significantly different, predictions made with the models were quite variable. D

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Section: Introductionmentioning

confidence: 99%

Inverse modeling of BTEX dissolution and biodegradation at the Bemidji, MN crude-oil spill site

Essaid

Cozzarelli

Eganhouse

et al. 2003

Journal of Contaminant Hydrology

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“…The original model was used to simulate PAH biodegradation at a Texas Superfund site (Borden and Bedient, 1986). BIOPLUME II has been used to model biodegradation of aviation fuel at the U.S. Coast Guard Station at Traverse City, Michigan (Rifai et al, 1988), and to characterize benzene biodegradation over 3 years in another shallow aquifer (Chiang et al, 1989;Choi et al, 2009). Travis and Rosenberg (1994) used a numerical simulation model to successfully predict aerobic bioremediation of chlorinated solvents in the groundwater and vadose zone using methane biostimulation at the U.S. DOE's Savannah River Site near Aiken, South Carolina.…”

Section: Intrinsic Bioremediation and Modelingmentioning

confidence: 99%

In Situ: Groundwater Bioremediation

Hazen¹

2010

Handbook of Hydrocarbon and Lipid Microbiology

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In situ groundwater bioremediation of hydrocarbons has been used for more than 40 years. Most strategies involve biostimulation; however, recently bioaugmentation have been used for dehalorespiration. Aquifer and contaminant profiles are critical to determining the feasibility and strategy for in situ groundwater bioremediation.Hydraulic conductivity and redox conditions, including concentrations of terminal electron acceptors are critical to determine the feasibility and strategy for potential bioremediation applications. Conceptual models followed by characterization and subsequent numerical models are critical for efficient and cost effective bioremediation.Critical research needs in this area include better modeling and integration of remediation strategies with natural attenuation.

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“…Varying the reaeration rate during the model calibration process suggested that the selected rate adequately simulated the site conditions. The use of this first-order rate was based on other documented BIOPLUME II modeling efforts (Rifai et al, 1988, referenced in Parsons ES, 1996a. …”

Section: Calculated and Model-calibrated Biodegradation Ratesmentioning

confidence: 99%

Comparison of Predicted and Observed Plume Trends at Fuel and Solvent Contaminated Sites

CO¹

2001

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. REPORT DATE (DD-MM-YYYY) SPONSORING / MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSOR/MONITOR'S ACRONYM(S) AFCEE SPONSOR/MONITOR'S REPORT NUMBER(S)Air Force Center for Environmental Excellence 3300 Sidney Brooks Brooks City-Base, TX 78235 DISTRIBUTION / AVAILABILITY STATEMENTApproved for public release; distribution unlimited SUPPLEMENTARY NOTES ABSTRACTSubsequent to the initial natural attenuation treatability studies performed from 1994 through 1999 at over 45 sites, update data collected by the National Risk Management Research Laboratory and Base monitoring programs were used to evaluate the effectiveness of natural attenuation at reducing contaminant concentrations in groundwater at 24 selected sites. Discrepancies between observed and predicted contaminant trends and plume behavior suggested that critical model input parameters may be inaccurate; therefore, the influence of natural attenuation processes may not have been accurately simulated. As a result of these observations, this project was initiated to compare model-predicted and observed contaminant trends and to evaluate some fundamental parameters that impact the accuracy of natural attenuation predictions, relative to updated field observations.

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Biodegradation Modeling at Aviation Fuel Spill Site

Cited by 98 publications

References 9 publications

Inverse modeling of BTEX dissolution and biodegradation at the Bemidji, MN crude-oil spill site

Inverse modeling of BTEX dissolution and biodegradation at the Bemidji, MN crude-oil spill site

In Situ: Groundwater Bioremediation

Comparison of Predicted and Observed Plume Trends at Fuel and Solvent Contaminated Sites

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