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publications > paper > using natural distributions of short-lived radium isotopes to quantify groundwater discharge and recharge > results
ResultsTest of model assumptionsThe one-dimensional advective and dispersive transport models defined above require that certain conditions or assumptions be reasonably well met. The principal conditions are that (1) the pore-water radium activity near the sediment/sediment or sediment/surface-water interface is out of balance with the activity that would be expected as a function of the radium production rate in the sediments and the partitioning of radium between the dissolved and adsorbed phase and that this disequilibrium can be described as the result of either advective or dispersive transport across the interface; (2) the sedimentary layers are relatively homogeneous chemically and physically, and the interface between the layers is well defined; (3) the radium production rates are constant through each layer, but significantly different between the two layers; and (4) the partitioning of radium between the dissolved and adsorbed phase is constant through each layer. The first condition we already addressed using our knowledge of the vertical hydraulic gradient in Everglades peat. We will address the remaining three conditions here. The Everglades' peat layer is relatively homogeneous in bulk sediment properties (Fig. 2a). For example, at site S10C-N porosity of peat is very high (0.93 ± 0.02), the density of peat is relatively low (1.34 ± 0.08 g cm-3), and the dry bulk density of peat is also very low (0.09 ± 0.02 g cm-3). The base of the peat is well-defined and is characterized at all the sites by a distinct change from the high-porosity, low-density peat sediments to high-density, lowporosity silicate or carbonate sediments. The underlying silicates or carbonates are reasonably homogeneous in terms of their physical characteristics, but not their chemical characteristics (Fig. 2b). The production rates of 223Ra and 224Ra are constant through the peat layer, but much more variable in the sediments below the peat.
KD values were determined from the relationship between the exchangeable radium and dissolved radium (Eq. 1). The dissolved radium was approximated as the average of the dissolved radium samples between 10 and 50 cm depth in the peat (
In homogeneous sediments, changes in KD would most likely result from changes in the ionic strength of the pore water. Because chloride can be measured with much greater precision than KD, chloride concentration was used as a proxy of ionic strength to test the constancy of KD in the peat and aquifer sediments. Figure 3a shows chloride concentration as a function of depth, and Fig. 3b shows porewater radium activity as a function of chloride concentration. There is little or no correlation between chloride concentration and depth or between radium activity and chloride concentration, suggesting that KD is constant in the peat layer. Unfortunately, we cannot extend this relationship below the base of the peat because of the confounding effects of changing sediment characteristics. Quantify rates of exchangeFigure 4a,b shows pore-water 224Ra and 223Ra activities in the peat layer at site S10C-S. The activities are highest near the base of the peat as a result of upward transport from below. Activities decrease exponentially to a constant value in the upper portion of the peat as the excess radium decays away and the activity of the dissolved plus adsorbed fraction approaches equilibrium with the production rate. Overlying the data in Fig. 4a,b are model-derived lines for upward advection of radium and pore fluids based on Eq. 5a. For all data sets, the "best fit" parameters v or D, AI, and P were determined using a curve-fitting routine that maximized the log of the likelihood function using a NelderMead simplex algorithm and assuming a Poisson distribution. The center line in each panel of Fig. 4 shows the best fit simulation, modeled using the parameters identified by the fitting routine. The two outside lines indicate the 95% confidence intervals (mean ± 2 SE) for combined uncertainty in the velocity or coefficient of dispersion (v or D), radium activity at the interface (AI), and the production rate in the peat (P). Based on the 224Ra and 223Ra model fits, the advective velocity at site S10C-S is 2.4 ± 0.6 cm d-1 or 0.50 ± 0.25 cm d-1, respectively.
Data from site S10C-N are modeled in Fig. 4c,d using Eq. 5a. Activities are nearly constant through the peat but are slightly higher at the very surface of the peat. The activity gradient near the surface and the lack of a gradient at depth, despite an increased production rate in the sand beneath the peat, indicate that groundwater is recharging at this site. Sampling intervals were not adequate to precisely determine the activity gradient at the top of the peat, but model fits are useful to constrain the possible maximum rate of advective transport. The 224Ra profile indicates that magnitude of the recharge is less than 0.9 cm d-1. The 223Ra profile constrains the magnitude of recharge to less than 0.43 cm d-1. Because the radium production rate is not constant in the sediments below the peat, we are unable to further constrain the rate of recharge at site S10C-N by modeling the radium profiles below the peat. Figure 4e,f shows the result of fitting the dispersive transport model (Eq. 5b) to pore-water 224Ra activities at site U3, resulting in coefficient of dispersion values of 60 ± 18 cm2 d-1 and 23 ± 5 cm2 d-1 from 224Ra and 223Ra profiles, respectively. Model results for all sites are summarized in Table 3. |
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U.S. Department of the Interior, U.S. Geological Survey
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Last updated: 21 September, 2005 @ 04:45 PM(TJE)