Depth- and Time-Resolved Distributions of Snowmelt-Driven Hillslope Subsurface Flow and Transport and Their Contributions to Surface Waters

Tetsu K. Tokunaga, Jiamin Wan, Kenneth H. Williams, Wendy Brown, Amanda Henderson, Yongman Kim, Anh Phuong Tran, Mark E. Conrad, Markus Bill, Rosemary W.H. Carroll, Wenming Dong, Zexuan Xu, Adi Lavy, Ben Gilbert, Sergio Carrero, John N. Christensen, Boris Faybishenko, Bhavna Arora, Erica R. Siirila-Woodburn, Roelof VersteegJonathan H. Raberg, John E. Peterson, Susan S. Hubbard

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

Major components of hydrologic and elemental cycles reside underground, where their complex dynamics and linkages to surface waters are obscure. We delineated seasonal subsurface flow and transport dynamics along a hillslope in the Rocky Mountains (USA), where precipitation occurs primarily as winter snow and drainage discharges into the East River, a tributary of the Gunnison River. Hydraulic and geochemical measurements down to 10 m below ground surface supported application of transmissivity feedback of snowmelt to describe subsurface flow and transport through three zones: soil, weathering shale, and saturated fractured shale. Groundwater flow is predicted to depths of at least 176 m, although a shallower limit exists if hillslope-scale hydraulic conductivities are higher than our local measurements. Snowmelt during the high snowpack water year 2017 sustained flow along the weathering zone and downslope within the soil, while negligible downslope flow occurred along the soil during the low snowpack water year 2018. We introduce subsurface concentration-discharge (C-Q) relations for explaining hillslope contributions to C-Q observed in rivers and demonstrate their calculations based on transmissivity fluxes and measured pore water specific conductance and dissolved organic carbon. The specific conductance data show that major ions in the hillslope pore waters, primarily from the weathering and fractured shale, are about six times more concentrated than in the river, indicating hillslope solute loads are disproportionately high, while flow from this site and similar regions are relatively smaller. This methodology is applicable in different representative environments within snow-dominated watersheds for linking their subsurface exports to surface waters.

Original languageEnglish
Pages (from-to)9474-9499
Number of pages26
JournalWater Resources Research
Volume55
Issue number11
DOIs
StatePublished - Nov 1 2019
Externally publishedYes

Funding

This work was conducted as part of the Watershed Function Scientific Focus Area at Lawrence Berkeley National Laboratory and was supported by the U.S. Department of Energy (DOE) Subsurface Biogeochemical Research Program, DOE Office of Science, Office of Biological and Environmental Research, under DE-AC02-05CH11231. We thank Ben Potter (Navarro, Inc.) for datalogging support, the Rocky Mountain Biological Laboratory for field laboratory support, Ken Karp (Navarro, Inc.) for coordinating drilling, and Craig Goodknight (Navarro, Inc.) for field logging of drill cuttings, and Jose Suarez (HRL Compliance Solutions) for drilling. We gratefully acknowledge Billy Barr (Rocky Mountain Biological Laboratory) for the Gothic weather and snow data. We appreciate the valuable comments provided by the reviewers and the Associate Editor, which helped improve presentation of this work. Data used in this paper are deposited in the U.S. DOE Environmental Systems Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE). This work was conducted as part of the Watershed Function Scientific Focus Area at Lawrence Berkeley National Laboratory and was supported by the U.S. Department of Energy (DOE) Subsurface Biogeochemical Research Program, DOE Office of Science, Office of Biological and Environmental Research, under DE‐AC02‐05CH11231. We thank Ben Potter (Navarro, Inc.) for datalogging support, the Rocky Mountain Biological Laboratory for field laboratory support, Ken Karp (Navarro, Inc.) for coordinating drilling, and Craig Goodknight (Navarro, Inc.) for field logging of drill cuttings, and Jose Suarez (HRL Compliance Solutions) for drilling. We gratefully acknowledge Billy Barr (Rocky Mountain Biological Laboratory) for the Gothic weather and snow data. We appreciate the valuable comments provided by the reviewers and the Associate Editor, which helped improve presentation of this work. Data used in this paper are deposited in the U.S. DOE Environmental Systems Science Data Infrastructure for a Virtual Ecosystem (ESS‐DIVE).

FundersFunder number
DOE Office of Science
Office of Biological and Environmental ResearchDE‐AC02‐05CH11231
Rocky Mountain Biological Laboratory
U.S. Department of Energy
Office of Science
Biological and Environmental ResearchDE-AC02-05CH11231
Lawrence Berkeley National Laboratory

    Keywords

    • concentration-discharge
    • groundwater
    • hillslope
    • recharge
    • snowmelt
    • transmissivity

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