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U.S. Geological Survey, Box 25046, MS 413, Lakewood, CO 80225
* Corresponding author (epweeks{at}usgs.gov).
All rights reserved. No part of this periodical may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, recording, or any information storage and retrieval system, without permission in writing from the publisher.
Received 8 November 2006.
| ABSTRACT |
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Abbreviations: CAL, Central High Plains Conservation Reserve Program site CFC, chlorofluorocarbon CHP, Central High Plains CNG, Central High Plains rangeland site EEC, equivalent equilibrium concentration in water-vapor-saturated air GNT, Northern High Plains irrigated corn site at Grant, NB IMP, Northern High Plains rangeland site JRW, Southern High Plains irrigated cotton site in Cochran County, TX MPL, Southern High Plains irrigated cotton site at Maple, TX MWR, Southern High Plains rangeland site NHP, Northern High Plains SHP, Southern High Plains UMA, Northern High Plains irrigated corn site at Yuma, CO
| INTRODUCTION |
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Availability of the N2O data, coupled with the identified diffusive transport properties based on analysis of the CFC data, provides a means of estimating long-term average production rates for the gas, both in the active root zone and from depth in the vadose zone. Nitrous oxide is of environmental concern because it acts both as a greenhouse gas and as an agent in the destruction of stratospheric ozone (Cicerone, 1987). Its concentration has been increasing in the atmosphere by about 0.24% yr–1 for the last 25 yr or so. Nitrification and denitrification of N-based fertilizers within the soil zone are considered to be a major source of this increase (Kroeze et al., 1999, p. 6). In addition, Ronen et al. (1988) indicated that N2O may be produced by denitrification at the water table under heavily fertilized fields, and that this N2O may provide a significant diffusive flux through the vadose zone to the land surface.
Estimation of root-zone N2O flux from rangeland and irrigated crops from the 450,000-km2 area underlain by the High Plains Aquifer should prove useful in evaluating this source of N2O to the atmosphere. The detection of N2O production at depth in the vadose zone or at the water table will further elucidate sources of the gas. Also, the technique may be of interest to others involved with estimation of soil–atmosphere greenhouse gas exchange in areas underlain by deep vadose zones, as the method provides estimates of seasonal or long-term spatial average production rates. These might prove particularly useful, as the main measurement techniques used for determining N2O emissions from soils are by measurements at the land surface, either through the use of chambers (Eichner, 1990), or, occasionally, by micrometeorological methods (Phillips et al., 2007; Smith et al., 1994). These measurements indicate that soil fluxes of N2O are extremely variable in both time and space, making their integration into long-term areal averages difficult.
| Materials and Methods |
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Samples for N2O (and CO2, not used in this study) were collected five times at each site in the CHP, at 2, 5, 8, 17, and 30 mo after sampling nest completion. Four sets of samples were collected, at 4, 8, 13, and 25 mo, at nests in the SHP, and six sets at nests in the NHP, starting 8 mo and ending 26 mo after completion. These samples were collected in 25-mL glass bottles by first flushing the open bottles with unsaturated-zone gas for 5 min at a flow rate of about 1 L min–1, sealing them with thick butyl stoppers, and then continued flushing of the sealed bottles through a syringe needle for an additional 3 min. Nitrous oxide concentrations were determined by gas chromatography with electron-capture detection (1.8-m Porapak Q column, carrier gas was 95:5 Ar/CH4) at the USGS laboratory in Lakewood, CO. The precision of the N2O analysis was ±5% based on replicate analysis of samples and standards.
Unsaturated-zone gas samples collected within 6 mo of well completion, both for CFCs and SF6 and for N2O, showed concentrations that were more nearly those of atmospheric air than did those of subsequent samples, indicating contamination of soil gas with drilling air. Concentrations measured in samples collected later than 6 mo after construction, however, typically did not vary systematically with sampling date, indicating that drilling effects had dissipated by that time. Consequently, only those data collected later than 6 mo after well completion were used for model calibration and N2O production estimates.
Gas samples were collected for whole gas analysis during one or two episodes at each site using procedures similar to those for collecting N2O samples, and were analyzed at the Lakewood laboratory by gas chromatography with thermal-conductivity detection. Results of these analyses (not shown), as well as of published results for other sites in the High Plains (e.g., Thorstenson et al., 1983), indicated that the concentrations of major gases throughout the vadose zone are essentially identical to those in the atmosphere in the High Plains, and hence are well oxygenated.
Water samples were collected at the well installations during one to four of the gas-collection episodes at each site. These samples were analyzed to determine dissolved gas concentrations of the CFCs, SF6, N2O, and dissolved NO3–. Methods of sampling and analysis for the CFCs and SF6 are described by Busenberg and Plummer (1992, 2000), respectively, and those for dissolved N2O and NO3– are described by McMahon et al. (2003). Dissolved CFC and SF6 concentrations, converted to equivalent equilibrium concentration in water-vapor-saturated air (EEC), are substantially smaller than those measured in the deepest gas-sampling probes, as expected, and are not shown.
Gas-Phase Data Analysis
Concentration profiles for the CFCs, SF6, and N2O obtained for each site were processed to provide estimates of average N2O flux for the site by application of a gas-diffusion model modified from that described in detail by Weeks et al. (1982, p. 1372–1375). Briefly, the code provides a numerical solution to the partial differential equation:
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is tortuosity,
a is drained porosity, DAB is the free-air diffusion coefficient for Gas A diffusing into Gas B (air) (L2 T–1), CA is the concentration of Gas A in air (M L–3),
' =
a +
w(
T –
a)Kw +
s(1 –
T)KwKD (dimensionless), where
w is the density of water (M L–3),
T is total porosity, Kw is the gas–water partitioning coefficient (L3 M–1),
s is particle density (M L–3), KD is the solid–liquid distribution coefficient (dimensionless), and
is a source–sink term (M L–3 T–1). The upper boundary condition is one of specified concentration [Cz = 0 = C(t)], where C(t) either varies as annual linear line segments (CFCs and SF6) or is a constant (N2O, set to 310 nm3 m–3 for all simulations and analyses). Year-end concentrations of the CFCs and SF6 in the atmosphere used for this study are those provided by the Reston Chlorofluorocarbon Laboratory (2007). Details on the syntheses of records for the various species are summarized by the International Atomic Energy Agency (2006). These concentration histories are shown in Fig. 4 .
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Initial conditions for the entire profile are set to 0 for CFCs and SF6 by the program; for N2O, the user provides either a constant value or a file specifying concentration for each node with depth.
The model was checked by comparison with a transport code developed by Cook and Solomon (1995). Simulations of only diffusive transport using the two codes were virtually identical. Simulations involving a falling water table were checked against those made using the transport code. For the transport code, the water table was fixed at its final depth, but a gas advection rate equal to the rate of the water table decline times the specific yield of the bottom layer was specified. Despite the different modeling approaches, the two codes provided quite similar results. In all cases, liquid-phase transport simulated using the Cook and Solomon (1995) code had only a very minor effect on the simulated profiles.
Data required to model the CFCs, SF6, and N2O, including their free-air diffusion and Henry's Law coefficients, are described in the Appendix. Needed site-specific data include site altitude (used to compute station pressure, m), mean annual air temperature (°C), the vadose zone thickness (m), and a discretization of the vadose zone into layers with specified depth boundaries (m). In addition, the irrigation history, the initial depth to water, and the date of first N fertilizer application are needed for the irrigated sites to establish the start of the falling water table or the start of N2O production. Site-specific data, except those regarding layer properties, are provided in Table 1.
Materials in the vadose zone at each site are discretized into layers, based on lithology, each having uniform total porosity, water content, and drained porosity. Data used to specify layer properties and boundaries include detailed particle size analyses of cores and drill cuttings as a function of depth, and porosity and moisture content data from cores that were collected at four to eight depths at each site. The particle size data were used to divide the vadose zone into layers, and the core data to assign porosity and moisture content to each layer. Layers were selected to include either at least one set of observations or a depth interval separated from those above and below by a distinct break in slope. Thus, adjacent layers selected on the basis of geohydrology alone were often combined, based on arithmetically averaging their thickness-weighted total and air-filled porosities. For layers including one or more cores, the porosity data were applied as the average of the core values. For other layers, the porosities were assigned based on lithological similarities to those for which core data, either for that site or for other sites in the study, were available.
For all NHP sites, core data provided total and drained porosities that resulted in near-zero Millington tortuosities (defined below), that were not compatible with the CFC profile data; however, porosities and moisture characteristic curves (graphs of moisture tension vs. moisture content) had been developed from subcores of the original field cores. Heat dissipation probe data also were available from stations installed near the core depths. Indicated moisture tensions from these probes were used with the moisture-characteristic curves and the subcore porosities, which differed from those for the full cores, to estimate drained porosities that were substantially larger than those for the original cores, and these values were used for all NHP site models.
Model Calibration
Initial model calibration was achieved by trial-and-error variation of tortuosity in selected vadose zone layers to achieve an overall match to the three CFC profiles and the SF6 profile, based on their individual free-air diffusivities and solubilities, as described in the Appendix. Calibration was initiated by assigning tortuosity as computed from the Millington (1959) equation:
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Model Application
The UCODE-calibrated tortuosities for the layered systems at each site were used to estimate long-term annual rates of N2O production (the
term in Eq. [1]) since the last land use change in one or more zones by using UCODE to compute production rates that minimize the sum-of-squares difference between measured and simulated N2O concentrations. Production zones were selected based on the shapes of the N2O profiles.
Production at only a constant rate in the root zone will result in a constant N2O concentration with depth below its base. Root-zone N2O production, however, is typically seasonally episodic, resulting in concentrations below the root zone that vary seasonally about a mean value. These variations dampen with depth to achieve a constant profile that reflects the effects of average annual root-zone production. Based on diffusion theory, the depth of complete damping is approximately reached at three times the diffusive damping depth (Campbell, 1973), determined as 
aDN2O–Air/
'. Based on calibration results (Table 2) and N2O diffusivity in air and solubility in water, as described in the Appendix, the damping depth for N2O diffusion should be about 5 m, indicating that N2O profiles should be constant with depth below a depth of about 15 m, and that the profile below that depth can be analyzed to determine an average annual production rate.
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For sites at which N2O production is occurring mainly in the root zone, the production rate per unit thickness of the surface production zone may be found using the van Bavel (1951) equation:
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Simulation Results
Rangeland Sites
Model simulations for the rangeland sites were, in general, quite straightforward. The sampling nests are located within areally extensive plots of relatively uniform cover, so transport should be well represented by a one-dimensional model. Water levels at two of the sites have remained essentially constant with time, but have declined by about 2.5 m since the 1970s at the NHP rangeland site, presumably due to regional irrigation development. All sites were simulated as having a constant water table. Moreover, the sites have not been subject to a change in land use in historical times, so the effects of unknown initial conditions for the N2O profile, set to 310 nm3 m–3 at all sites for a start date of 1940, do not affect the results of the 60-yr simulations.
Central High Plains Rangeland Site
Gas samples collected for CFC-12, CFC-11, and SF6 at the Central High Plains rangeland site (CNG) in August 2001 were used in calibration of a six-layer model. Depth intervals, total and drained porosities, and Millington-computed and UCODE-derived tortuosities are shown in Table 2, and the resulting fit of simulated (lines) to measured (symbols) normalized concentrations are shown in Fig. 5A
. The CFC-113 data from shallow depths showed consistently elevated concentrations relative to Niwot Ridge atmospheric data, and were not used in the calibration, but the simulated results are shown. The CFC and SF6 concentrations at this site showed more scatter among the various CFC and SF6 data than was observed at most other sites for this study, for unknown reasons, but a reasonably good fit was obtained.
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of 0.31 ± 0.11 for the surface layer (Table 2), a free-air N2O diffusion coefficient of 1.36 m2 d–1 under prevailing site conditions, and a production interval of 1 m, Eq. [4] indicates an average N2O flux of 46 ± 16 nm3 m–3 m–2 d–1 or 0.17 ± 0.065 kg N2O-N ha–1 yr–1 (Table 3), where the uncertainty is due to that in the
determination for the top layer. A simulation using UCODE, made to provide a statistical fit to the profile, yielded a production rate of 45.4 ± 1 nm3 m–3 m–2 d–1. For the UCODE analysis, no uncertainty is assigned to tortuosity, so the indicated
is due only to N2O data scatter.
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Northern High Plains Rangeland Site
The CFC and SF6 data for August 2003 were used for model calibration at the Northern High Plains rangeland site (IMP). The vadose zone was divided into three layers for calibration, including a surface sandy layer and two silty sand layers that each incorporated a thin sandy layer. Layer properties and the resultant fit of the simulations to the CFC data are listed in Table 2 and shown in Fig. 6A
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Nitrous oxide production was estimated from N2O data collected in February, May, and August 2003. The N2O concentrations are nearly uniform at depth, with shallow profiles typical of those showing seasonal root-zone production. The increase in concentration at depth indicates a mean flux, assuming a 1-m production interval, of about 0.04 ± 0.02 kg N2O-N ha–1 yr–1 for
= 0.16 ± 0.08 for the top layer. The measured shallow profiles are matched reasonably well by assuming that the entire flux occurs as a seasonal pulse lasting from 15 April until 25 August (Fig. 6B). This pattern is consistent with the noted dependence of the rate of denitrification and N2O production on increasing temperature and on soil moisture content (Parton et al., 1996). Soil temperature increases during the spring and summer months, but begins to decline from its snow-melt- and spring-rain-generated maximum by late spring.
Southern High Plains Rangeland Site
Nitrous oxide production at the Southern High Plains rangeland site (MWR) appears to be minimal, based on N2O concentrations at depth (not shown) that are about equal to those in the atmosphere, despite the fact that high soil-moisture NO3– concentration, a common correlate to N2O production zones, occurred in the shallow subsurface at this site (Fig. 2). Based on these observations, no calibration was made, and N2O production was assigned a value of below detection limit (about 0.01 kg N2O-N ha–1 yr–1 for root-zone production).
Irrigated Sites
Simulation results for the irrigated sites are seriously affected by edge effects resulting from placement of the sampling nests at the edge of the irrigated fields. Based on the deep N2O profiles collected during this study, as well as the results of numerous other studies, as summarized for native vegetation by Bowden (1986) and for fertilized crops by Eichner (1990), N2O production is substantially greater from the irrigated and fertilized fields than from the adjacent rangeland. The contrasting adjacent production rates result in an edge effect that is not accounted for by the one-dimensional model. A preliminary two-dimensional model investigation using fictitious parameters that mimic those governing diffusive gas transport in a uniform medium in the code VS2DT (Healy, 1990) indicates that equilibration at depth at the edge of root-zone production adjoining an area with no root-zone production is substantially delayed relative to that simulated using a one-dimensional model, and that the production rate based on the use of a one-dimensional model would be underestimated by a factor of about 2. Ideally, these edge effects should be investigated using a two-dimensional model. For this study, however, the potential effects are only acknowledged and the potential effects estimated using this factor of 2 uncertainty.
A second complication affecting the simulations for the irrigated sites, particularly those for which a change in land use or irrigation practice occurred with 15 yr or so of N2O sampling, arises from uncertainty in the initial conditions assumed for the start of the simulation period. The impact of that uncertainty on the possible range of N2O production rates was tested by sensitivity analysis, as described individually for these sites.
Significant declines in water table elevation, beginning with the onset of irrigation, were observed at each of the irrigated sites. These declines were simulated as occurring at a uniform rate beginning near the onset of irrigation, using the annual rate of decline for each site listed in Table 1.
Northern High Plains Yuma Irrigated Site
The Northern High Plains irrigated site at Yuma, CO, (UMA) has been planted to irrigated corn since 1956, with flood irrigation through 1988 and center-pivot sprinkler irrigation afterward. The model for this site was calibrated using CFC and SF6 data obtained in May 2003. The 47.5-m-thick vadose zone was divided into four layers, as listed in Table 2. Calibration results for the 8- to 12-m layer provide a much lower
than is provided by the Millington equation. Presumably a thin, tight zone not detected in drill cuttings occurs in that layer. Calibration resulted in CFC-12 and SF6 concentrations being overpredicted, and those for CFC-11 and CFC-113 being underpredicted, as shown in Fig. 7A
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Trial and error simulations of root-zone production for the full 47 yr of irrigation (not shown) provided a nearly uniform concentration below a depth of about 15 m, thus failing to match the measured profiles and precluding the use of UCODE to determine a N2O flux for that full period. The known history of fertilizer applications at this site starts in 1986, with the tenure of the current owner, but similar fertilizer applications presumably date back to the advent of irrigation in 1956. The lack of equilibration of N2O concentrations at depth during this 47-yr period probably results from an edge effect due to the location of the sampling nest just outside the irrigated field, as described above. Based on the indication that edge effects would cause the production rate computed using a one-dimensional model to be underestimated by a factor of about 2, N2O production within the irrigated field at the UMA site may be approximately 4 to 6 kg N2O-N ha–1 yr–1.
Northern High Plains Grant Irrigated Site
The Northern High Plains irrigated site at Grant, NB, (GNT) has been planted to sprinkler-irrigated corn since 1974. The CFC and SF6 data are available for May and August 2003, but the May CFC data show some residual effects of drilling air, and data for two probe levels (21 and 32 m) are quite inconsistent, in relation both to their depths and to sampling dates, for unexplained reasons. Concentrations of all species for the 21-m depth and those for CFC-11 and CFC-113 at the 32-m depth were not used for model calibration. For calibration, the vadose zone was divided into four layers, as listed in Table 2. Results (Fig. 8A
) indicate an excellent fit to all data for the 10.7- and 14.9-m depths, and surprisingly low
values for the deeper layers, possibly due to unrecognized layering by interbedded fine-grained materials.
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The shallow profiles and the aberrant concentrations in the 21-m probe were ignored for the model N2O production estimate. Based on the
values listed in Table 2, a UCODE fit, assuming production started with the advent of irrigation in 1974, provides steady root-zone production of 1.3 ± 0.25 kg N2O-N ha–1 yr–1. Edge effects for the one-dimensional model probably result in an underestimate by a factor of about 2, so production could be about 2 to 3 kg N2O-N ha–1 yr–1.
Central High Plains Irrigated Sites
Quantification of N2O production using data collected at the two CHP sites, both associated with irrigated corn, is complicated by the site locations and changes in agricultural practice. The instrumented sites at both locations were installed about 75 m from the edge of the irrigated crop within the triangular area that had been flood-irrigated from 1955 and 1956, but is not reached by center-pivot irrigation, initiated in 1990. These areas are now planted to grass as part of the Conservation Reserve Program. Thus, these sites received fertilizer and irrigation water from about 1956 to 1990, but were not irrigated or fertilized thereafter. During the 30+ year period that the sampling sites had been flood-irrigated and planted to corn, the N2O profile probably became similar, within a range of considerable uncertainty, to those measured adjacent to currently irrigated corn at the UMA and GNT sites, and thus quite elevated. Model sensitivity analysis, based on a range of plausible estimates for N2O initial conditions, was used to estimate a range of production rates at the Central High Plains Agricultural Land Use Study site CAL-121, but this approach did not appear feasible for site CAL-122, which is not further discussed.
The CFC and SF6 data for August 2001 (Fig. 9A ) were used in model calibration for the CAL-121 site. The 45-m-thick vadose zone was divided into two layers. Final results, based on matching CFC-11, CFC-12, and SF6 data, are summarized in Table 2.
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Southern High Plains Cochran County Irrigated Cotton Site
Model calibration for the Southern High Plains irrigated cotton site at Cochran County, TX, (JRW) was based on CFC data collected in July 2002. The 46-m vadose zone was initially divided into six layers, but UCODE results indicated that the vadose zone can be analyzed as a single layer. The one-layer simulation provided a quite satisfactory fit to data for CFC-12, CFC-11, and SF6 collected in August 2001 (Fig. 10A
), based on a
of 0.22 ± 0.006 (Table 2). The near-surface CFC-113 concentrations exceed those in the Niwot Ridge atmospheric record by a few percentage points, and were not included in the automatic fitting routine.
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Uncertainty regarding the initial N2O profile exists as a result of the site being within the irrigated field until 1990, and on its edge thereafter. The time at which production of N2O at the water table began is also uncertain, but undoubtedly followed the start of irrigation, as the presumed groundwater NO3– source probably migrated from the land surface as irrigation return flow. A sensitivity analysis was made by conducting a series of simulations for uniform initial concentrations in 1990 ranging from 310 to 900 nm3 m–3, and one simulation based on a non-uniform initial profile created by simulating root-zone production of 40 nm3 m–3 m–2 d–1 and water-table production of 2 nm3 m–3 m–2 d–1 lasting from 1970 to 1990. The results of these one-dimensional simulations indicate that gas-phase transport is rapid enough at this site that initial conditions as of 1990 are not significant and can be ignored. Production of 0.074 ± 0.033 kg N2O-N ha–1 yr–1 in the 1-m root zone and 0.009 ± 0.0006 kg N2O-N ha–1 yr–1 in a 2-m interval immediately above and following the water table provides a good match to the measured profiles, as shown in Fig. 10B. Estimated root-zone production is compromised by crop edge effects, but production from the water table may represent an areally extensive effect, and hence should be reliable.
Southern High Plains Maple Irrigated Cotton Site
The CFC and SF6 data from the Southern High Plains irrigated cotton site at Maple, TX, (MPL) for July 2002 provided an excellent calibration fit (not shown) for all four species, using a three-layer model. Results of the calibration are listed in Table 2, as they add to the catalog of field-based tortuosities for diffusive transport investigations. The N2O measurements, however, available for dates in September 2001, and February, May, and July 2002, show a great deal of scatter, particularly those for depths >10 m, and simulation results for the site are very sensitive to initial conditions assumed for 1990. This sensitivity, combined with the large scatter in the data, provided inconclusive results as to whether the N2O profiles resulted from N2O production in selected zones or were only a residual effect of prior conditions.
| Results and Discussion |
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value, and the UCODE-determined mean value,
(standard deviation), and CV of the tortuosity for each layer. A variety of additional statistics regarding the reliability of the calibrations are provided by UCODE (Hill, 1998; Poeter and Hill, 1998). Twelve of the 22 layers for which calibration data are available provided
values with CVs of 0.2 or less, and all but four had CVs <0.5. These four include two for the GNT Northern High Plains irrigated corn site, for which the CFC data were subject to substantial uncertainty due to unknown processes, and two for the CNG Central High Plains rangeland site, for which the CFC data showed substantial scatter among layers. Also, the two determinations of CV >1 are for layers that exhibited small concentration gradients, resulting in large, but insensitive,
values. The exact magnitude of the
values for these layers is not known, but use of the indicated values or others of similar magnitude will have little effect on the reliability of predictions of gas transport. Overall, the fit between measured and simulated concentrations for the four species is quite good (Fig. 5–10
The UCODE-based
values show poor agreement with those computed using the Millington equation (Table 2), with the mean of the UCODE values being about 15% smaller than that for the Millington values, due in large part to the results of eight layers for which the UCODE-derived values are less than half the Millington values. This lack of agreement may arise from the inadequacy of representing the porosity and moisture content of layers of somewhat heterogeneous sediments, ranging in thickness from 4 to 46 m, with values derived from the four to six cores collected at each site. In particular, the use of cores and drill cuttings to characterize the full thickness of the vadose zone may fail to identify thin layers of finer grained or more tightly cemented materials. Such layers may greatly restrict gas-phase diffusive transport, but be unaccounted for during estimation of total and air-filled porosity. Moreover, considerable uncertainty exists in estimating an appropriate Millington
for a heterogeneous layer, even with perfect knowledge of the variations in total and air-filled porosity. Due to the strong nonlinearity of the Millington
(Eq. [2]) with respect to both total and air-filled porosity, use of thickness-weighted arithmetic average values for those parameters would result in an overestimate of the effective
value in moderately heterogeneous media. Thus, as suggested by Werner et al. (2004), a field method, such as the one used here, is needed to identify effective gas-phase diffusivity in many situations.
The assumption that CFC concentrations measured at Niwot Ridge, CO, adequately represents that at rural sites in general has been widely made (Busenberg et al., 1993; Severinghaus et al., 1997; Engesgaard et al., 2004). This assumption appears adequate for this study as well, based on a comparison of measured atmospheric values to those interpolated from the Niwot Ridge tabulation. The mean ratio of measured to interpolated concentrations for the different species ranged from 0.98 to 1.00 (excluding results for one anomalous CFC-12 sample from the CAL-122 site that was 160% of the Niwot Ridge record), with standard deviations ranging from 0.017 to 0.044.
Simultaneous measurements of all four gas species (except as noted in Table 2) were used for calibration, based on the assumption that none of the species are being degraded or sorbed to the solid phase. The CFCs are noted to be biodegraded in anaerobic but not in aerobic environments (Busenberg and Plummer, 1992, p. 2266), and, as the vadose zone overlying the High Plains aquifer is well oxygenated, degradation of CFCs is unlikely. Assumptions regarding sorption are more problematic. Weeks et al. (1982) assumed sorptive behavior in calibrating a diffusion model to CFC-11 and CFC-12 measurements at other sites in the SHP, based on the work of Brown (1980). Severinghaus et al. (1997) matched CFC profiles measured in large sand dunes using a similar diffusion model while ignoring sorption, and Engesgaard et al. (2004) found that sorption of CFC-11 was minor at a sandy site in Denmark. Santella et al. (2006) estimated Ks (water–solid distribution coefficient) values of 0.0, 0.02, and 0.1 for CFC-12, CFC-11, and CFC-113, respectively, as part of a detailed study at a site near Sparkill, NY. From Eq. [2], these distribution coefficients, assuming average site conditions, would result in 7 and 10% decreases in the effective diffusion coefficients for CFC-11 and CFC-113, respectively, relative to the values computed assuming no sorption. Graphical comparisons of simulated to measured values for the four species, however, indicate no systematic tendency for CFC-11 or CFC-113 concentrations to be overestimated relative to those for CFC-12 and SF6, indicating that, within the accuracy of the available data, sorption of CFCs can be ignored in this study.
Nitrous Oxide Production
Estimates of N2O production (Table 3) were obtained for rangeland at three sites, two corn fields in the NHP, one Conservation Reserve Program ungrazed grassland site previously planted to corn in the CHP, and one cotton field in the SHP. Our technique allows determination of both magnitude and depth location of N2O production, including within the root zone, at depth in the vadose zone, and at the water table. Detectable root zone production was determined for five sites, in the deep vadose zone for one site, and from groundwater at two sites. Most zones of measurable N2O production are associated with higher NO3– in soil water or in groundwater near the water table, but not all zones of higher NO3– are associated with N2O production (Fig. 2, Table 3). Root-zone production is generally the major source of N2O, but its estimation is subject to greater uncertainty than those for production at depth.
Root-Zone Production
Nitrous oxide production at the three rangeland sites ranges from about 0.2 kg N2O-N ha–1 yr–1 at the CHP rangeland site (CNG; Table 3) to <0.01 kg N2O-N ha–1 yr–1 at the SHP rangeland site (MWR). Modest N2O production of 0.04 kg N2O-N ha–1 yr–1 occurs at the NHP rangeland site (IMP), compared with the MWR site, despite the fact that its root-zone NO3– concentration (Fig. 2) is slightly less. This contrast may result from the fact that the MWR site is sandier (better drained) and drier than the other rangeland sites, as N2O production varies with soil moisture content (Parton et al., 1996). The production estimate for the CNG site agrees well with the 3-yr average production rate of 0.17 kg N2O-N ha–1 yr–1 for unfertilized native pasture in eastern Colorado listed by Mosier et al. (1997, p. 39), and with a value of 0.2 kg N2O-N ha–1 yr–1 determined for Wisconsin prairie by Goodroad and Keeney (1984). Nitrous oxide production at the other rangeland sites is lower than most reported values for similar vegetative cover.
Nitrous oxide data from both sites planted to irrigated corn in the NHP indicate substantial root-zone N2O production. The one-dimensional model estimates indicate production rates of about 2 to 6 kg N2O-N ha–1 yr–1, as adjusted for edge effects. Estimates of N2O flux from the corn fields are similar to those reported in the literature, including, among others, values of 3.6 and 5.2 kg N2O-N ha–1 yr–1 determined from corn fields in Wisconsin (Eichner, 1990, Table 2), and of 4.2 kg N2O-N ha–1 yr–1 from a no-till corn field in Tennessee (Thornton and Valente, 1996, p. 1127).
Root-zone production at the CHP irrigated CAL-121 site is indicated to be <0.01 kg N2O-N ha–1 yr–1, but could not be reliably estimated for the CAL-122 site. Comparison of N2O production rates for the CAL-121 site to those for irrigated corn sites in the NHP indicate that conversion from corn cultivation to Conservation Reserve Program status may have significantly reduced N2O production. Assuming that N2O production in the soil zones of the corn fields adjacent to the Conservation Reserve Program sites is similar to that from the NHP sites, our results indicate that the cropland conversion may have decreased the production rate by a factor of 10 or more.
The N2O profiles for the SHP irrigated cotton site JRW indicate root-zone production of about 0.15 kg N2O-N ha–1 yr–1, based on a factor of 2 impact of edge effects on the one-dimensional model estimate. The estimate is significantly smaller than the loss rate of 2 kg N2O-N ha–1 yr–1 determined for a flood-irrigated cotton crop planted in clay soil in Australia (Rochester, 2001, p. 197). The SHP cotton fields are sandy, and are irrigated by sprinkler. The different results from those of Rochester (2001) may reflect the effects of soil texture or of water application mode (or both) in N2O generation, or may be due to uncertainties involved in the use of the proposed technique.
Estimates for root-zone production are quite uncertain, for reasons in addition to those regarding edge effects and initial conditions that apply circumstantially to different sites. A major uncertainty is that involving the true depth of root-zone production. From Eq. [4], N2O production for a given concentration at depth is inversely proportional to root-zone thickness, which we assume to be 1.0 m. The active layer of N2O production may extend from the land surface to a shallower depth, say 0.5 or 0.3 m, resulting in a bias toward too-small fluxes by a factor of 2 or 3. Uncertainty also arises from the use of a
value for a composite surface layer of a few to several meters thickness (Table 2) to represent that for the thin soil zone. The soil-zone effective
is probably larger than that for the composite layer because of effects of barometric pumping (Massmann and Farrier, 1992), and possibly due to the presence of dessication cracks, root holes, and animal burrows. Santella et al. (2003, p. 1073), however, made very detailed SF6 measurements in the shallow subsurface at a site near New York City, which they successfully simulated using an estimated
of 0.19, a value that agrees well with the surface layer
values of 0.24 ± 0.08 determined for this study. This result suggests that soil-zone
values may, in fact, be similar to those determined for thicker surface layers, and that uncertainty of production estimates due to this source may be minor.
Production from Below the Root Zone
Long-term slow rates of N2O production were indicated within the vadose zone or at the water table at the CAL-121 and JRW sites (Table 3). For the CAL-121 site, a sensitivity analysis involving various assumed initial N2O profiles indicates a probable production rate from a zone of elevated soil-moisture NO3– at a depth of about 15 m of about 0.01 to 0.02 kg N2O-N ha–1 yr–1, and production from the water table of about 0.004 to 0.016 kg N2O-N ha–1 yr–1. Groundwater at the site has a higher NO3– content (4.5 mg NO3––N kg–1 sediment or 23 mg N L–1) than at other sites. For the JRW site, indicated production from the water table is about 0.009 kg N2O-N ha–1 yr–1. Groundwater at the site has a NO3– concentration of 3.8 mg NO3––N kg–1 sediment.
Estimates of production at depth are based on the assumptions that the source layer, either a zone of high NO3– content within the vadose zone or high-NO3– groundwater, is areally extensive, and that the production has been occurring since the start of irrigation or the last change in land use, or for sufficient time to avoid the effects of assumed initial conditions, a period of at least several years. The estimates are subject to fewer uncertainties than those for root-zone production because the concentration gradients generated by even very small N2O fluxes at depth are large enough to be accurately determined, and values for effective diffusion coefficients at depth are better constrained by the CFC data than are those for the soil zone.
Simultaneous measurement of N2O concentrations in groundwater at the various sites (Table 3) provide insight into possible mechanisms of N2O production and consumption. The groundwater NO3– EEC (Fig. 5–10![]()
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, Table 3) are lower or about equal to those in the deep vadose zone at each site, indicating that the source of N2O production is within the vadose zone or very near the water table, rather than from a depth of even a few meters in the groundwater reservoir.
The average groundwater N2O EEC of about 110 nm3 m–3 at the CHP rangeland site CNG (Fig. 5B) is of particular interest, as it is much lower than that in the overlying vadose zone or in the atmosphere, thus suggesting the occurrence of consumption of N2O in soil water near or just below the water table. Soil-derived N2O is often produced as an intermediate product by anaerobic denitrification of NO3– to N2, with the N2O diffusing from soil water into the gas phase, the "hole in the pipe" process described by Firestone and Davidson (1989). Thus, under most conditions, the vadose zone is a source of N2O to the atmosphere or to the water table. In poorly drained media, however, from which diffusive loss is limited, the rate of denitrification of N2O to N2 can exceed that of NO3– to N2O, resulting in depletion of N2O in soil moisture (Letey et al., 1981; Menyailo and Hungate, 2006). This phenomenon may be occurring in the clayey layer with very high soil moisture content that extends from a depth of 43 to 50 m at the CNG site (Fig. 3). Groundwater containing N2O at EECs less than atmospheric has also been sampled from shallow wells at localized sites among several showing very high EECs during intensive studies of N2O flux from poorly drained forested riparian zones (Bowden et al., 1992; Osaka et al., 2006).
Two other studies have made estimates of N2O production from groundwater. Osaka et al. (2006) combined measurements of N2O in the shallow groundwater reservoir of a riparian zone with those in the vadose zone, and inferred that groundwater was the source of N2O land surface flux of about 0.01 to 0.02 kg N2O-N ha–1 yr–1. Ronen et al. (1988, p. 58) estimated N2O flux from NO3––rich groundwater of 3.4 to 7.8 kg N2O-N ha–1 yr–1, values that may be too high by a factor of 500. A discrepancy between their Fig. 3 axis label units of µg L–1and figure caption units of mg L–1cm–1may result in a computed flux value that is too large by a factor of 1000, and their conversion from mass N2O underestimates mass N2O-N by a factor of 2. Corrected values result in fluxes from the water table of 0.007 to 0.02 kg N2O-N ha–1 yr–1, in good agreement with the results of our study and those of Osaka et al. (2006). In summary, our estimates of water-table N2O production of 0.004 to 0.016 kg N2O-N ha–1 yr–1 at two of nine sites, combined with the estimates by Osaka et al. (2006) and by Ronen et al. (1988), indicate that denitrification of groundwater is only a minor source of N2O in the global budget.
Future Work
The method used here to estimate N2O soil flux should provide a useful tool. Its merits would be greatly enhanced, however, if accompanied by a rigorous program to measure N2O flux using chambers. In addition to the chamber measurements themselves, measurements of root-zone N2O, soil moisture, and soil temperature should be made. These measurements, combined with soil-gas concentration modeling at a fine time and space scale, should aid in the interpretation of the chamber measurements. Measured fluxes of N2O, with its strong dependence on water temperature (Eq. [A2] below), may partially represent the effects of the gas being dissolved or exsolved by cooling or warming soil water. The effect might be particularly relevant during periods of freezing or thawing soil, as Eq. [A2] indicates that storage of N2O in soil moisture is at a maximum when the soil water is at the freezing point. As the soil freezes, N2O will be exsolved, and assuming that air-filled pore space remains, will be discharged to the atmosphere. This phenomenon may explain, at least in part, the spikes in N2O flux measured by Mosier et al. (1997, Fig. 1 and 2) during periods of frozen soil.
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Free-Air Gas Diffusion Coefficients
The measured diffusivity for CFC-12 of Monfort and Pellegatta (1991) is in good agreement with that computed using an equation (Bird et al., 1960, Eq. [16.4-13]) based on the Chapman–Enskog kinetic theory. Therefore, that equation has been used to compute diffusivities for the CFC species (Cook and Herczeg, 2000; International Atomic Energy Agency, 2006) and for SF6 and N2O here, based on Lennard–Jones parameters for the gases. Perry (1963, Table 14-44) lists Lennard–Jones parameters for CFC-12, but not for CFC-11, CFC-113, or SF6, and we are unaware of other published values. Hence, Lennard–Jones parameters for those gases were computed from Bird et al. (1960, Eq. [1.4-11], [1.4-13], [16.4-15], and [16.4-16]). Lennard–Jones parameters for air and N2O were taken from Bird et al. (1960, Table B1). Diffusion coefficients for a temperature of 0°C and a pressure of 101 kPa for the gases sampled in this study, as well as the relevant parameters used in the computations, are given in Table A1. The diffusivity for N2O is about 5% smaller than the value given without citation by van Bochove et al. (1998). The tabulated diffusion coefficients are included in a DATA statement in the model, and are corrected for site conditions by dividing by station pressure in atmospheres, and multiplying by the ratio of the mean annual temperature, in K, to 273.16, raised to the 3/2 power.
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![]() | [A1] |
is the mole fraction or partial pressure of the gas in dry air, P is atmospheric pressure (atm); and PH2O is the water vapor pressure at the prevailing humidity (atm). Values of KT for distilled water and a given temperature within the range 0 to 40°C may be found from an equation of the form
![]() | [A2] |
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![]() | [A3] |
| ACKNOWLEDGMENTS |
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| REFERENCES |
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