Long-term and high-frequency non-destructive monitoring of water stable isotope profiles in an evaporating soil column

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Abstract

The stable isotope compositions of soil water (δ2H and δ18O) carry important information about the prevailing soil hydrological conditions and for constraining ecosystem water budgets. However, they are highly dynamic, especially during and after precipitation events. In this study, we present an application of a method based on gas-permeable tubing and isotope-specific infrared laser absorption spectroscopy for in situ determination of soil water δ2H and δ18O. We conducted a laboratory experiment where a sand column was initially saturated, exposed to evaporation for a period of 290 days, and finally rewatered. Soil water vapor δ2H and δ18O were measured daily at each of eight available depths. Soil liquid water δ2H and δ18O were inferred from those of the vapor considering thermodynamic equilibrium between liquid and vapor phases in the soil. The experimental setup allowed for following the evolution of soil water δ2H and δ18O profiles with a daily temporal resolution. As the soil dried, we could also show for the first time the increasing influence of the isotopically depleted ambient water vapor on the isotopically enriched liquid water close to the soil surface (i.e., atmospheric invasion). Rewatering at the end of the experiment led to instantaneous resetting of the stable isotope profiles, which could be closely followed with the new method. From simple soil δ2H and δ18O gradients calculations, we showed that the gathered data allowed one to determinate the depth of the evaporation front (EF) and how it receded into the soil over time. It was inferred that after 290 days under the prevailing experimental conditions, the EF had moved down to an approximate depth of -0.06 m. Finally, data were used to calculate the slopes of the evaporation lines and test the formulation for kinetic isotope effects. A very good agreement was found between measured and simulated values (Nash and Sutcliffe efficiency, NSE Combining double low line 0.92) during the first half of the experiment, i.e., until the EF reached a depth of -0.04 m. From this point, calculated kinetic effects associated with the transport of isotopologues in the soil surface air layer above the EF provided slopes lower than observed. Finally, values of kinetic isotope effects that provided the best model-to-data fit (NSE > 0.9) were obtained from inverse modeling, highlighting uncertainties associated with the determinations of isotope kinetic fractionation and soil relative humidity at the EF.

Figures

  • Figure 1. (a) Scheme of the acrylic glass column used in the experiment; (b) experimental setup for sampling water vapor at the different soil depths of the soil column: from the ambient air, and from the two soil water standards (standard 1 and 2).
  • Figure 2. Water vapor mixing ratio (WVMR) and isotope composition (δ18O and δ2H; [‰ VSMOW]) of the water vapor sampled on day of experiment 150 from the ambient air (“atm”), both standards (“st1” and “st2”), and from the tubing sections at soil depths 1, 3, 5, 7, 10, 20, 40, and 60 cm.
  • Figure 3. Time series of the laboratory ambient air temperature (Ta), relative humidity (RH), and water vapor isotope compositions (δ 18Oa and δ2Ha [‰ VSMOW]) over the course of the experiment.
  • Figure 4. Time series of water content (θ ), evaporation flux (Ev), evaporation flux normalized to vapor pressure deficit (Ev/vpd), and water vapor isotope compositions (δ18OSvap and δ 2HSvap [‰ VSMOW]) during the course of the experiment.
  • Figure 5. Soil temperature (TS), water content (θ ), and liquid water isotope compositions (δ 18OSliq and δ 2HSliq [‰ VSMOW]) profiles from day of experiment (DoE) 0–100 (top panel), from DoE 101–287 (middle panel), and from DoE 288–299 (bottom panel).
  • Figure 6. Linear regressions (gray dotted line) between laboratory atmosphere water vapor δ18O and δ2H [‰ VSMOW] and between soil water δ18O and δ2H (solid black line). Each plot represents data from 50 consecutive days of experiment (DoE). Global meteoric water line (GMWL; defined by δ2H= 8× δ18O+ 10, in blue dotted line) is shown on each sub-plot for comparison. Coefficient of determination (R2) as well as the slope of the linear regressions (LRS) are reported.
  • Figure 7. Time course of the slopes of the δ18O–δ2H linear regressions (LRS) for time intervals of 10 consecutive days of atmosphere data (gray solid line), soil data from the upper three layers (1, 3, and 5 cm, colored solid lines), and combined soil data from the remaining bottom layers (from 7 to 60 cm, black dotted line). Mean standard errors are represented by the error bars in the bottom left corner.
  • Figure 8. (a) and (b) 1H18 2 O and 1H2H 16O composition gradients calculated between consecutive observation points in the soil. (c) Evolution of the evaporation front depths z18OEF [m] (red solid line) and z 2HEF [m] (black solid line) inferred from the 1H18 2 O and 1H2H16O composition gradients.

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CITATION STYLE

APA

Rothfuss, Y., Merz, S., Vanderborght, J., Hermes, N., Weuthen, A., Pohlmeier, A., … Brüggemann, N. (2015). Long-term and high-frequency non-destructive monitoring of water stable isotope profiles in an evaporating soil column. Hydrology and Earth System Sciences, 19(10), 4067–4080. https://doi.org/10.5194/hess-19-4067-2015

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