Inverse modeling for locating dense nonaqueous pools in groundwater under steady flow conditions

Sciortino, Alice; Harmon, Thomas C.; Yeh, William W.‐G.

doi:10.1029/2000wr900047

Cited by 36 publications

(27 citation statements)

References 25 publications

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“…Inverse modeling can also be used to diagnose inadequate data, identify parameters that cannot be estimated with the given data set, evaluate the conceptual model representation, and quantify the uncertainty of model simulated values. Inverse modeling has been used for hydrocarbon and dense nonaqueous phase liquid source identification (Parker and Islam, 2000;Sciortino et al, 2000), estimating biodegradation rates in batch experiments , and evaluating biodegradation rates of chlorinated ethenes in a fractured dolomite aquifer near Niagara Falls, NY (Yager, 2000).…”

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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show abstract

“…Using hypothetical release history functions and contaminant plumes, they compared the relative effectiveness of Tikhonov regularization and minimum relative entropy inversion for the reconstruction of release history of a conservative contaminant in a one-dimensional domain. Sciortino et al [8] studied inverse modeling for locating dense nonaqueous pools in groundwater under steady flow conditions. The inverse problem was formulated as a least-squares minimization problem and solved by a search procedure based on the LevenbergMarquardt method.…”

Section: Introductionmentioning

confidence: 99%

Groundwater contaminant boundary input flux estimation in a two-dimensional aquifer

Nauman

Kim

Huang

et al. 2010

Journal of Industrial and Engineering Chemistry

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“…There are numerous studies on contaminant transport resulting from the dissolution of NAPL pools. Examples of recent published single-component pool dissolution studies include references [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] and examples of multicomponent NAPL pool dissolution studies include references [7,[19][20][21][22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Dissolution of a multicomponent DNAPL pool in an experimental aquifer

Lee

Chrysikopoulos

2006

Journal of Hazardous Materials

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Inverse modeling for locating dense nonaqueous pools in groundwater under steady flow conditions

Cited by 36 publications

References 25 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

Groundwater contaminant boundary input flux estimation in a two-dimensional aquifer

Dissolution of a multicomponent DNAPL pool in an experimental aquifer

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