We report a quantitative analysis of regional differences in the the oxygen isotope composition of river water and precipitation across the USA because data are now available to undertake a more geographically and temporally extensive analysis than was formerly possible. Maps of modern, mean annual δ18O values for both precipitation (δ18OPPT) and river water (δ18ORIV) across the 48 contiguous states of the USA have been generated using latitude and elevation as the primary predictors of stable isotope composition while also incorporating regional and local deviations based on available isotopic data. The difference between these two maps was calculated to determine regions where δ18ORIV is significantly offset from local δ18OPPT. Additional maps depicting seasonal and extreme values for δ18ORIV and δ18OPPT were also constructed. This exercise co nfirms the presence of regions characterized by differences in δ18ORIV and δ18 OPPT and specifically identifies the magnitude and regional extent of these offsets. In particular, the Great Plains has δ18ORIV values that are more positive than precipitation, while much of the western USA is characterized by significantly lower δ18ORIV values in comparison with local δ18OPPT. The most salient feature that emerged from this comparison is the 'catchment effect' for the rivers. Because river water is largely derived from precipitation that fell upstream of the sample locality (i.e. at higher elevations) δ18ORIV values are often lower than local δ18OPPT values, particularly in catchments with high-elevation gradients. Seasonal patterns in the isotopic data substantiate the generally accepted notion that amplitudes of δ18O variation are greatly dampened in river water relative to those of local precipitation. Copyright © 2005 John Wiley & Sons, Ltd.
CITATION STYLE
Dutton, A., Wilkinson, B. H., Welker, J. M., Bowen, G. J., & Lohmann, K. C. (2005). Spatial distribution and seasonal variation in 18O/16O of modern precipitation and river water across the conterminous USA. Hydrological Processes, 19(20), 4121–4146. https://doi.org/10.1002/hyp.5876
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