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Inferring the source of evaporated waters using stable H and O isotopes.
Bowen, Gabriel J; Putman, Annie; Brooks, J Renée; Bowling, David R; Oerter, Erik J; Good, Stephen P.
Affiliation
  • Bowen GJ; Department of Geology and Geophysics and Global Change and Sustainability Center, University of Utah, Salt Lake City, UT, 84112, USA. gabe.bowen@utah.edu.
  • Putman A; Department of Geology and Geophysics and Global Change and Sustainability Center, University of Utah, Salt Lake City, UT, 84112, USA.
  • Brooks JR; Western Ecology Division, National Health and Evironmental Effects Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, Corvallis, OR, USA.
  • Bowling DR; Department of Biology and Global Change and Sustainability Center, University of Utah, Salt Lake City, UT, 84112, USA.
  • Oerter EJ; Lawrence Livermore National Laboratory, Livermore, CA, 94550, USA.
  • Good SP; Department of Biological and Ecological Engineering, Oregon State University, Corvallis, OR, USA.
Oecologia ; 187(4): 1025-1039, 2018 08.
Article in En | MEDLINE | ID: mdl-29955987
Stable isotope ratios of H and O are widely used to identify the source of water, e.g., in aquifers, river runoff, soils, plant xylem, and plant-based beverages. In situations where the sampled water is partially evaporated, its isotope values will have evolved along an evaporation line (EL) in δ2H/δ18O space, and back-correction along the EL to its intersection with a meteoric water line (MWL) has been used to estimate the source water's isotope ratios. Here, we review the theory underlying isotopic estimation of source water for evaporated samples (iSWE). We note potential for bias from a commonly used regression-based approach for EL slope estimation and suggest that a model-based approach may be preferable if assumptions of the regression approach are not valid. We then introduce a mathematical framework that eliminates the need to explicitly estimate the EL-MWL intersection, simplifying iSWE analysis and facilitating more rigorous uncertainty estimation. We apply this approach to data from the US EPA's 2007 National Lakes Assessment. We find that data for most lakes are consistent with a water source similar to annual runoff, estimated from monthly precipitation and evaporation within the lake basin. Strong evidence for both summer- and winter-biased sources exists, however, with winter bias pervasive in most snow-prone regions. The new analytical framework should improve the rigor of iSWE in ecohydrology and related sciences, and our initial results from US lakes suggest that previous interpretations of lakes as unbiased isotope integrators may only be valid in certain climate regimes.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Groundwater / Rivers Language: En Journal: Oecologia Year: 2018 Document type: Article Affiliation country: United States Country of publication: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Groundwater / Rivers Language: En Journal: Oecologia Year: 2018 Document type: Article Affiliation country: United States Country of publication: Germany