Evidence for Iron-Mediated Anaerobic Methane Oxidation in a Crude Oil Contaminated Aquifer. * Richard T. Amos [email protected] Dep. of Earth and Environmental Sciences, Univ. Waterloo, Waterloo, ON, N2L 3G1 Barbara A. Bekins [email protected] U.S. Geological Survey, 345 Middlefield Road, Menlo Park, CA 94025 Isabelle M. Cozzarelli [email protected] U.S. Geological Survey, 431 National Center, Reston, VA 20192 Mary A. Voytek [email protected] U.S. Geological Survey, 430 National Center, Reston, VA 20192 Julie D. Kirshtein [email protected] U.S. Geological Survey, 430 National Center, Reston, VA 20192 Elizabeth J. P. Jones [email protected] U.S. Geological Survey, 430 National Center, Reston, VA 20192 David W. Blowes [email protected] Dep. of Earth and Environmental Sciences, Univ. Waterloo, Waterloo, ON, N2L 3G1 Supplemental Information: Detailed Calculations S1. Electron donors S1.1 Electron donor transport calculations The groundwater linear velocity at the Bemidji site was estimated at 22 m yr-1 and the porosity was estimated at 0.38 (Essaid et al. 1995) giving a Darcy velocity of q = 2.7 x 10-7 m s-1. For CH4, direct push profiles collected in 2007 were used to obtain estimates of flux. Each vertical profile was divided into segments with one sample point within each segment and the segment length for sample point zj defined by: z j z j 1 z j / 2 z j z j 1 / 2 (A1) where zj is elevation of the current sample point and the subscripts j+1 and j-1 refer to the sample points above and below this point, respectively. For the uppermost sample point the upper bound of the segment was defined by the measured water table elevation. For the lowest sample point the lower bound of the segment was assumed to be 0.25 m below the sample point, generally resulting in a segment length of 0.5 m, consistent with segment lengths at higher elevations. The mass transport of CH4 (mol s-1) across the 1-mwide plane defined by a vertical profile was determined by summing the mass transport across each segment along the profile: NP FP,i 1000 qz j Ci , j (A2) j 1 where Ci,j is the concentration (mol L-1) of compound i (in this case CH4) measured at zj, and NP is the number of segments in the profile. 1 BTEX and NVDOC concentrations used for flux calculations were measured in samples collected from monitoring wells. Wells completed at various elevations were grouped based on distance from the source zone, with each cluster containing one to five wells. The mass transport (mol s-1) of individual BTEX components and NVDOC across a well cluster is computed with a weighted average using the screen lengths: Nw Nw j 1 j 1 FW ,i 1 0 0 0Z q Lj Ci , j / Lj (A3) where Nw is the number of wells within the cluster, Z is the estimated plume depth at the cluster, Lj is the well screen length at well j, and Ci,j is the measured concentration (mol L-1) of compound i at well j. The plume depths were estimated based on the depth of the CH4 plume beneath the water table using 2007 direct push data, which were 2.75 m at 45 m, 3.85 m at 81 m, 3.81 m at 105 m and 2.6 m at 125 m. Mass transport values were converted to electron equivalents (mol e- yr-1) assuming all compounds degrade fully to CO2. The coefficients used were 8 for CH4, 30 for benzene, 36 for toluene, and 42 for ethylbenzene, o-xylene, and m,p-xylene. The coefficient used for NVDOC was 4.63 based on a model carbon compound C19H24O6 (Cozzarelli et al., 2010) that was determined through elemental analysis of NVDOC in samples from Bemidji wells (Thorn and Aiken, 1998). S1.2 Variability in electron donor transport The estimates of electron donor transport are based on measurements of CH4, BTEX and NVDOC at specific times. However, the variability in the in concentrations over time will add some uncertainty to these estimates. Methane concentrations have been relatively consistent over the time period considered (Amos et al., 2010) and the 2 contribution to electron donor transport from BTEX compounds is relatively small (Table 1), so that the greatest source of uncertainty is from the variability in NVDOC concentrations (Figure 4). NVDOC concentrations from samples collected in 2010 were used for the electron donor transport calculation. These values are higher than previous measurements of NVDOC at the site, suggesting that the 2010 samples can be considered maximum values based on the available data. Estimates of electron donor transport using 1992-1995 data indicate a change in NVDOC transport from 46 to 125 m of 158 mol e- yr-1 and a total change in electron donors over the same interval of 277 mol e- yr-1, representing a 50% decrease in the total reducing capacity compared to the estimates using 2010 data. Figure S1-1. Non-volatile dissolved organic carbon (NVDOC) concentrations (mg C L -1) from individual sampling points along the contaminant plume during various time periods. Note: Only one sampling point is available in 1999. NVDOC concentrations are subject to season variations. Measurements collected in several wells over a one year period from May 1987 to August 1988 (Baedecker and Cozzarelli, unpublished data) indicate that concentrations fluctuate considerably throughout the year, although maximum 3 concentrations are observed in the summer months. The data presented in Figure S1, including the 2010 was collected in the summer, generally in late July or early August, again suggesting that the estimates of NVDOC transport from the 2010 data represent maximum values. S2. Transport of dissolved electron acceptors within the groundwater Mass transport estimates of dissolved electron acceptors within the groundwater were calculated in the same manner as demonstrated above for CH4 using equations A1 and A2. Calculated transport estimates were multiplied by a stoichiometric coefficient to convert each to electron equivalents. Coefficients used were 4, 5 and 8 for O2, NO3- and SO42-, respectively. S3. Transport of dissolved electron acceptors across the water table. S3.1 Diffusion Diffusive flux of O2 across the water table was calculated assuming a concentration gradient of 0.21 atm, 10 cm above the water table, to 0.0 atm, 10 cm below the water table (Amos et al., 2011). The total diffusive mass transport across a given length, X, of water table 1 m wide was determined by: FD ,O2 D *CO2 / z X (A4) where C is concentration, z is vertical distance set to 20 cm, and D* is the effective diffusion coefficient given by: D * n D O2 (A5) where n is porosity (0.38), τ is tortuosity (0.39, Chaplin et al., 2002), and DO2 is the diffusion coefficient of O2 in water (1.67 x 10-09 m2 s-1, CRC Press, 2009). The mass transport estimates were converted to electron equivalents. 4 S3.2 Recharge Recharge rates of 0.2 to 0.3 m yr-1 have been measured at the Bemidji site using soil-moisture measurements, and between 0.1 and 0.2 m yr-1 using water level changes observed in hydrographs (Herkelrath and Delin, 2001). Essaid et al. (2003) estimated average annual recharge at 0.178 m yr-1 using inverse modeling and also determined that average annual recharge amounted to 28 % of average precipitation. However, Bekins et al. (2005) showed surface topography has a major control on recharge and varied across the site. Recharge is focused in the topographic low above the floating oil, amounting to 65 % of precipitation in 2002, while downgradient from the oil body, where the surface elevation is higher, annual recharge in 2002 was equivalent to 20 % of precipitation. This suggests that average annual recharge in the CH4 oxidation zone would be about 0.13 m yr-1. Assuming an average annual recharge rate of 0.13 m yr-1 (Bekins et al., 2005; Essaid et al., 2003) over a 1 m2 area gives a recharge volume, Vr, of 0.13 m3 yr-1. The mass transport of each compound across a given length, X, of water table 1 m wide was determined by: FR ,i Vr C i X (A6) where Ci (mol m-3) is the concentration of compound i. The concentration of O2 was assumed to be in equilibrium with the atmosphere at 9 °C. Sulfate and NO3concentrations in recharge water were assumed to be similar to average concentrations measured in uncontaminated background water, 3.6 mg L-1 and 0.4 mg L-1, respectively. Background SO42- and NO3- concentration were measured in well 310, 200 m upgradient 5 from the source zone, from 1988 to 1995. The mass transport estimates were converted to electron equivalents. S3.3 Water table fluctuations To calculate the potential mass transport of gases, including O2 and CH4, as a result of the entrapment and release of gas bubbles during water table fluctuations the following calculations were used. A 2 m column of aquifer centered at the water table was divided into 10-cm-high control volumes, and the volume of gas entrapped and released during water table fluctuations was determined for each control volume. The volume of trapped gas was calculated for each year from 1992 and 2007 based on the amplitude of the water table fluctuation taken from measured water levels, which ranged from 4 cm to 59 cm. The effective trapped gas saturation, Segt, for each volume was determined by (Kaluarachchi and Parker, 1992): 1 Sem a i n 1 Sa a Se g i n t m 1 RL (1 Se a) 1 RL (1 Sa , )a (A7) where RL is the empirically derived Land’s parameter given by: RL 1 m ax S egt 1, (A8) and Segtmax is the maximum effective trapped gas saturation assumed to be 0.1. Seamin is the minimum effective aqueous saturation, defined as: S ema i n Sa Sr a , 1 Sr a (A9) where Sa is the aqueous phase saturation calculated at the lowest water table position (Wosten and van Genuchten, 1988): 6 Sa Sr a 1 Sr a 1 n m a , (A10) Sra is the residual saturation, ψa is the aqueous phase pressure head, and α = 4, n = 3.5, and m = 1-1/n, are soil hydraulic function parameters (Dillard et al., 1997). Saa is the apparent effective aqueous phase saturation, defined by equation A12 with Sa calculated at the higher water table position. The trapped gas phase saturation Sgt was determined using the relation: S egt S gt 1 S ra , (A11) and the volume of trapped gas was determined by: Vg nVcSg t (A12) where n is porosity and Vc is the volume of the control volumes. The oxygen transport into the groundwater was calculated assuming that the trapped gas volume contains atmospheric O2 levels, 0.21 atm. To calculate the release of CH4 during a subsequent drop in the water table, the following assumptions were made; 1) that after a water table rise, all O2 in the entrapped gas was consumed through aerobic oxidation processes, 2) that the remaining CH4 partial pressure in the groundwater was equivalent to 0.38 atm from 45 to 57 m then varied linearly from 0.38 atm at 57 m to 0.0 atm at 125 m (Amos et al., 2011), and 3) the only other gas in the groundwater and the entrapped gas phases was N2, initially at atmospheric concentrations. The partial pressure of CH4 re-equilibrated with the entrapped gas phase and subsequently released to the atmosphere when the water table elevation declines was calculated using the relations (Cirpka and Kitanidis, 2001): 7 PT Ng p (A13) i i 1 and pi Ti Ki Sa Sg t/ RT (A14) where PT is the total gas pressure, equal to 1 atm near the water table, pi (atm) is the partial pressure of each gas, i, Ki is the Henry’s Law constant (mol L-1 atm-1), Sa and Sgt are the aqueous and gas phase saturations, respectively, R is the gas constant (0.08206 atm L mol-1 K-1), T (K) is the temperature, and Ti (mol L-1) is the cumulative gas concentration of each gas in the water and gas phases calculated by: Ti Ci ( a ) S a Ci ( g ) S gt (A15) where Ci(a) (mol L-1) is the concentration of the gas in the aqueous phase, and Ci(g) (mol L-1) is the concentration of the gas in the gas phase. Substituting in Equation A14, Equation A13 was solved for Sgt and subsequently pi was determined using equation A14. Given Sgt, the volume of the gas bubble can be calculated (Equation A12) and the amount of CH4 released was calculated using the partial pressure pi. S4. Fe(III) mass balance calculations The overall oxidation capacity for sediment Fe(III) (mol e- yr-1) is given by: FFe CFe( s)Va b (A16) Ny where ∆CFe(s) is the change in solid phase sediment Fe(III) concentrations from 1993 to 2007 (13.4 μmol g-1; Figure 8), Va is the volume of the aquifer section considered (80 m 8 length by 4.3 m in elevation by 1 m wide), ρb is the bulk density (1.65 g cm-3) and Ny is the number of years (1993 to 2007). It is assumed that Fe(III) is converted to Fe2+(aq). S5. Free Energy Calculation Free energy calculations for individual sampling points were based on a ∆Gr0 for Equation 1 of -664 kJ mol-1 using ∆Gf0 ( kJ mol-; from Wagman et al., 1982, unless otherwise noted) values of -34.39 for CH4(aq) , -687 for Fe(OH)3(am) (Nordstrom et al., 1990), -78.87 for Fe2+, -586.8 for HCO3- , 0 for H+, and -237.1 for H2O. References Amos RT, Bekins BA, Delin GN, Cozzarelli IM, Blowes DW, Kirshtein JD (2011) Methane Oxidation in a Crude Oil Contaminated Aquifer: Delineation of Aerobic Reactions at the Plume Fringes. Journal of Contaminant Hydrology 125, 13-25. Bekins BA, Hostettler FD, Herkelrath WN, Delin GN, Warren E, Essaid HI (2005) Progression of methanogenic degradation of crude oil in the subsurface. Environmental Geoscience 12, 139-152. Chaplin BP, Delin GN, Baker RJ, Lahvis MK (2002) Long-term evolution of biodegradation and volatilization rates in a crude oil-contaminated aquifer. Bioremediation Journal 6, 237-255. Cirpka OA, Kitanidis PK (2001) Transport of volatile compounds in porous media in the presence of a trapped gas phase. Journal of Contaminant Hydrology 49, 263-285. Cozzarelli IM, Bekins BA, Eganhouse RP, Warren E, Essaid HI (2010) In situ measurements of volatile aromatic hydrocarbon biodegradation rates in groundwater. Journal of Contaminant Hydrology doi:10.1016/j.jconhyd.2009.12.001 CRC Press 2009. Diffusion of Gases in Water, in: Lide DR (Ed.), CRC Handbook of Chemistry and Physics, 89th Edition (Internet Version 2009). CRC Press/Taylor and Francis, Boca Raton, Florida. Dillard LA, Essaid HI, Herkelrath WN (1997) Multiphase flow modeling of a crude-oil spill site with a bimodal permeability distribution. Water Resources Research 33, 16171632. 9 Essaid HI, Bekins BA, Godsy EM, Warren E, Baedecker MJ, Cozzarelli IM (1995) Simulation of aerobic and anaerobic biodegradation processes at a crude oil spill site. Water Resources Research 31, 3309–3327. Essaid HI, Cozzarelli IM, Eganhouse RP, Herkelrath WN, Bekins BA, Delin GN (2003) Inverse modeling of BTEX dissolution and biodegradation at the Bemidji, MN crude-oil spill site. Journal of Contaminant Hydrology 67, 269-299. Herkelrath WN, Delin GN (2001) Long-term monitoring of soil-moisture in a harsh climate using reflectometer and TDR probes, in: Dowding CH (Ed), Proceedings of the Second International Symposium and Workshop on Time Domain Reflectometry for Innovative Geotechnical Applications, September 5-7, 2001: Evanston, Illinois, Northwestern University, Infrastructure Technology Institute, pp.262-272. Kaluarachchi JJ, Parker JC (1992) Multiple flow with a simplified model of oil entrapment. Transport in Porous Media 7, 1-14. 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