Literature DB >> 33854273

Spatiotemporal dynamics of water sources in a mountain river basin inferred through δ2H and δ18O of water.

L M McGill1, J R Brooks2, E A Steel3.   

Abstract

In mountainous river basins of the Pacific Northwest, climate models predict that winter warming will result in increased precipitation falling as rain and decreased snowpack. A detailed understanding of the spatial and temporal dynamics of water sources across river networks will help illuminate climate change impacts on river flow regimes. Because the stable isotopic composition of precipitation varies geographically, variation in surface water isotope ratios indicates the volume-weighted integration of upstream source water. We measured the stable isotope ratios of surface water samples collected in the Snoqualmie River basin in western Washington over June and September 2017 and the 2018 water year. We used ordinary least squares regression and geostatistical Spatial Stream Network models to relate surface water isotope ratios to mean watershed elevation (MWE) across seasons. Geologic and discharge data was integrated with water isotopes to create a conceptual model of streamflow generation for the Snoqualmie River. We found that surface water stable isotope ratios were lowest in the spring and highest in the dry, Mediterranean summer, but related strongly to MWE throughout the year. Low isotope ratios in spring reflect the input of snowmelt into high elevation tributaries. High summer isotope ratios suggest that groundwater is sourced from low elevation areas and recharged by winter precipitation. Overall, our results suggest that baseflow in the Snoqualmie River may be resilient to predicted warming and subsequent changes to snowpack in the Pacific Northwest.

Entities:  

Keywords:  baseflow; climate; geology; spatial stream network models; water source; water stable isotopes

Year:  2021        PMID: 33854273      PMCID: PMC8040057          DOI: 10.1002/hyp.14063

Source DB:  PubMed          Journal:  Hydrol Process        ISSN: 0885-6087            Impact factor:   3.565


  7 in total

1.  A mixed-model moving-average approach to geostatistical modeling in stream networks.

Authors:  Erin E Peterson; Jay M Ver Hoef
Journal:  Ecology       Date:  2010-03       Impact factor: 5.499

2.  Delineation and evaluation of hydrologic-landscape regions in the United States using geographic information system tools and multivariate statistical analyses.

Authors:  David M Wolock; Thomas C Winter; Gerard McMahon
Journal:  Environ Manage       Date:  2004       Impact factor: 3.266

3.  WATER RESOURCES. Hydrologic connectivity constrains partitioning of global terrestrial water fluxes.

Authors:  Stephen P Good; David Noone; Gabriel Bowen
Journal:  Science       Date:  2015-07-10       Impact factor: 47.728

4.  Elevation and spatial structure explain most surface-water isotopic variation across five Pacific Coast basins.

Authors:  L M McGill; E A Steel; J R Brooks; R T Edwards; A H Fullerton
Journal:  J Hydrol (Amst)       Date:  2020-04-01       Impact factor: 5.722

5.  Network analysis reveals multiscale controls on streamwater chemistry.

Authors:  Kevin J McGuire; Christian E Torgersen; Gene E Likens; Donald C Buso; Winsor H Lowe; Scott W Bailey
Journal:  Proc Natl Acad Sci U S A       Date:  2014-04-21       Impact factor: 11.205

6.  The influence of lithology on surface water sources.

Authors:  Lydia B Nickolas; Catalina Segura; J Renée Brooks
Journal:  Hydrol Process       Date:  2017-05-15       Impact factor: 3.565

7.  A preliminary assessment of water partitioning and ecohydrological coupling in northern headwaters using stable isotopes and conceptual runoff models.

Authors:  Doerthe Tetzlaff; James Buttle; Sean K Carey; Marjolein H J van Huijgevoort; Hjalmar Laudon; James P McNamara; Carl P J Mitchell; Chris Spence; Rachel S Gabor; Chris Soulsby
Journal:  Hydrol Process       Date:  2015-06-19       Impact factor: 3.565

  7 in total

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