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Data supporting the manuscript - Using Geophysical Observations of a Tracer Injection in a Riparian Aquifer to Explore How Bimodal Transport and Mixing Influences Nitrate Processing
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| Created: | Nov 14, 2024 at 10:59 p.m. (UTC) | |
| Last updated: | Aug 26, 2026 at 1:14 a.m. (UTC) (Metadata update) | |
| Published date: | Aug 26, 2026 at 1:14 a.m. (UTC) | |
| DOI: | 10.4211/hs.543c4c6793c5419fb472810e4a557558 | |
| Citation: | See how to cite this resource | |
| Content types: | CSV Content |
| Sharing Status: | Published |
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Abstract
In agricultural landscapes, increasing groundwater nitrate concentrations are common and reflect leaching from cultivated soils, often into adjacent riparian zones within stream corridors. High nitrate concentrations may be attenuated in riparian groundwater, where abundant organic matter and saturated anoxic soils and sediments (collectively “substrate”) support denitrifying activity. Variable substrate and the resulting residence time distribution in shallow groundwater can drive redox status and net nitrate removal, yet can be challenging to simulate in detail. This study explores how spatial variation in the texture of riparian aquifer substrate may influence groundwater residence times and biogeochemical behaviour of a riparian aquifer subject to chronic nitrate loading from non-irrigated wheat production in the semiarid Northern Great Plains. This is addressed using a novel combination of physicochemical measurements, geophysical observation of a groundwater tracer injection, and a simplified groundwater mixing model analysis. Higher and more variable nitrate concentrations were documented in wells completed in coarser substrates, suggesting generally shorter residence times compared to finer substrates, which exhibited lower nitrate concentrations suggestive of longer residence times. Therefore, we hypothesised that net nitrate consumption could be captured with a simple simulation approach using (a) the proportion of finer-textured riparian aquifer substrate to quantify redoximorphic processes that result in net nitrate consumption and (b) the proportion of coarser riparian substrate to quantify the groundwater residence time distribution. We tested this hypothesis by first exploring spatial patterns in groundwater chemistry and hydraulic characteristics at 16 shallow (< 1.5 m) wells and then by directly observing residence time of solutes in groundwater flow, using high frequency monitoring of groundwater specific conductivity and time-lapse electrical resistivity tomography imaging of a cross-section of a riparian groundwater flow path. Mixing models informed by geophysical imaging and tracer breakthrough constrain the potential influence of exchanges between fine and coarse substrates on the net nitrate transformation occurring along riparian groundwater flow paths. Dual-textured groundwater mixing model simulations illustrate how the proportion of coarse textured material may dictate the total amount of flow through riparian substrate while the proportion of flow through the finer-textured material that mixes with flow through coarse material may dictate the extent of net nitrate consumption processes. This work leverages novel geophysical observations to contribute a simple bimodal approach exploring how hydrologic complexity in riparian subsurface flow systems may influence the overall potential of riparian groundwaters to process nutrients before watershed export.
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Title: Data supporting the manuscript 'Using Geophysical Observations of a Tracer Injection in a Riparian Aquifer to Explore How Bimodal Transport and Mixing Influences Nitrate Processing' Citation: Poole, J. W., Ewing, S. A., Payn, R. A., Mayernik, C. M., Irons, T. P. (2026). Data supporting the manuscript - Using Geophysical Observations of a Tracer Injection in a Riparian Aquifer to Explore How Bimodal Transport and Mixing Influences Nitrate Processing, HydroShare, http://www.hydroshare.org/resource/543c4c6793c5419fb472810e4a557558 The content of this resource includes data referenced in: Mayernik, C. M., S. A. Ewing, M. D. Degrandpre, et al. 2025. “Riparian Processes in Semi-Arid Landscapes: Understanding Controls on Nitrate Loss and Sulfate Production in Agricultural Stream Corridors.” Journal of Geophysical Research: Biogeosciences 130: e2024JG008559. Abstract: Extensive application of nitrogen (N) fertilizer to increase crop yields can contribute excess nitrate to groundwater and surface water, raising health concerns for humans and ecosystems that depend on these water resources. In the Judith River Watershed (JRW) of central Montana, chronically high and increasing upland groundwater nitrate concentrations reflect leaching from non-irrigated, dryland, cultivated soils with limited water holding capacity. These shallow upland aquifers contribute high-nitrate groundwater to adjacent riparian corridors managed as cattle pastures. In these riparian corridors, nitrate concentrations are a function of hydrologic connections between streams and upland or riparian groundwater, mediated by the predominantly anaerobic biogeochemical activity associated with abundant organic matter and wetter soils, and depending on variation of the riparian soil and sediment composition. Here we assess the riparian substrate thought to control these hydrologic connections and biogeochemical conditions across two contrasting 700-m reaches of stream corridors draining the Moccasin Terrace (near Moccasin, Montana USA). We hypothesize that nitrate and other solute concentrations in individual riparian wells are controlled both by the texture of riparian substrate in contact with the well screening as well as relative hydrologic connections to the well location from the terrace groundwater, the stream channel, and the riparian groundwater. We test these hypotheses using shallow, near surface, electrical resistivity tomography (ERT) surveys, a salt tracer electrical conductivity manipulation experiment paired with timelapse ERT imaging, riparian groundwater sampling, and surveys of groundwater levels and hydraulic conductivity values at 15 shallow (< 1.5 m) wells. Our results reveal the size, character, and connectivity of the riparian aquifer, quantifying transport rates and interactions among riparian soils, sediments, and groundwater that attenuate nitrate loading from agricultural management practices to improve water quality. Spatial coverage: The general area sampled is represented by the bounding box, and the specific watershed within which we worked was the Judith River Basin (HUC-8: 10040103). Description of Contents: The folder “Riparian_Wells_ERT” contains the raw ERT data associated with riparian well imaging and the Means analysis results presented in 3.2. The folder “Substrate_Model” includes all inputs and raw code associated with the modeling process associated in this paper, presented in section 3.5. The folder “Tracer_Test” includes raw ERT data associated with visualizing the NaCl salt plume and the raw conductivity responses at the control well RW02, injection well RW11, and observational wells RW13 and RW14. The folder “Well_Information_and_Water_Quality” includes basic physical well parameters associated with each riparian well and the nitrate (mg/L) and hydraulic conductivity values for each well (m/day). The nitrate is presented as a summary for each well in the file “Louse_Creek_Nitrate_Ksat_stats” but the full data is contained in the file “Louse_Creek_Riparian_Wells_Nitrate”. Licenses: The data in this resource are licensed under the Creative Commons CC-0 1.0 Universal. This work has been marked as dedicated to the public domain. See here for the full legal text: https://creativecommons.org/publicdomain/zero/1.0/ Contact: Jack Poole, jack7poole@gmail.com
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| Montana State University System | None | None |
| USDA | USDA-ARS agreement | 58-3032-005 |
| Montana NSF EPSCOR | Consortium for Research on Environmental Water Systems | OIA-1757351 |
| NSF | Signals in the soil | 2034430 |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
| Name | Organization | Address | Phone | Author Identifiers |
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| Robert Payn | Montana State University;CUAHSI | MT, US | ||
| Caitlin M Mayernik | Montana State University - LRES | MT, US | ORCID | |
| Stephanie A. Ewing | Montana State University | Montana, US | ||
| Trevor Irons | Montana Technological University |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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