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Supporting Information: Quantifying the role of karst groundwater on mountain river discharge

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Owners:		This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource.
Type:	Resource
Storage:	The size of this resource is 7.7 MB
Created:	Aug 06, 2025 at 5:09 p.m. (UTC)
Last updated:	Jun 16, 2026 at 7:54 p.m. (UTC) (Metadata update)
Published date:	Jun 16, 2026 at 7:54 p.m. (UTC)
DOI:	10.4211/hs.b249302b03c3402d894b479881bad42e
Citation:	See how to cite this resource
Content types:	Single File Content CSV Content

Sharing Status:	Published
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Abstract

This repository contains the data, code, and figures for the publication: Quantifying the role of karst groundwater on mountain river discharge (https://doi.org/10.1029/2025WR041912)

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

Place/Area Name:

Logan Canyon

North Latitude

42.0957°

East Longitude

-111.4330°

South Latitude

41.7052°

West Longitude

-111.7818°

Temporal

Start Date:
End Date:

Content

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README.md

Project Contents

This repository contains the data, code, and figures for the publication: Quantifying the role of karst groundwater on mountain river discharge (https://doi.org/10.1029/2025WR041912).

The Figure-Generation/ notebooks have been tested in the CUAHSI JupyterHub and work there. Every other data and code file in this repository exists to support those figure-generation notebooks.

File Tree

Figure-Generation/ — Jupyter notebooks; the only files meant to be run independently
2_2022-hydrograph.ipynb
4_net-flow-balance.ipynb
5_PCA-plot_S3_ARI-plot.ipynb
6_two-solute-blance-ratio.ipynb
7_longitudinal-SI-DGI.ipynb
8_Sr-isotopes.ipynb
9_U-isotopes.ipynb
10_U-isotope-delta.ipynb
11_tritium.ipynb
S2_hydrograph-comparisons.ipynb
S4_June-longitudinal-Si.ipynb
S5_SI-seasonal-shifts.ipynb
S6_two-solute-blance-absolute.ipynb
S7_synoptic-samplings.ipynb
ST4_water-balance-summary.ipynb
Data/ — Input data sets
202206_BeaverCreek.csv
202206_LoganRiver.csv
202210_BeaverCreek.csv
202210_LoganRiver.csv
Canyon_Synoptic_Sampling_Data.csv
DewittSpring_dv.csv
Logan_Canyon_Springs.csv
Tritium.csv
karst_springs.pkl
llnl.dat
matrix_springs.pkl
SupportingCode/ — Helper modules imported by the notebooks
data_sets.py
mbv2_stat.py
plot_func.py
rb_func.py
sat_ind.py
sigclust.py
wrangle.py
Figures/ — Output figures (PNG) produced by the notebooks
2_2022-hydrograph.png
4_net-flow-balance.png
5_PCA-plot.png
5_PCA-plot-annotated.png
6_two-solute-balance-ratio.png
7_longitudinal-SI-DGI.png
7_Sr-isotopes-annotated.png
8_Sr-isotopes.png
9_U-isotopes.png
9_U-isotopes-annotated.png
10_U-isotope-delta.png
11_tritium.png
11_tritium-annotated.png
S2_hydrograph-comparisons.png
S3_ARI-plot.png
S4_June-longitudinal-Si.png
S6_two-solute-balance-absolute.png
S7_synoptic-samplings.png
ST4_values-for-gross-net-comparison.csv

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Related Resources

This resource is required by	Hill, D., Neilson, B. T., Tennant, H., Newell, D. L., Ashmead, N., Choi, S., McNamara, J. P., Schmitz, M., Spangler, L. E., Xu, T. (2026). Quantifying the role of karst groundwater on mountain river discharge. Water Resources Research, 62, e2025WR041912. https://doi.org/10.1029/2025WR041912
The content of this resource references	Bright, J. (2009). Isotope and major-ion chemistry of groundwater in Bear Lake Valley, Utah and Idaho, with emphasis on the Bear River Range. In J. G. Rosenbaum & D. S. Kaufman, Paleoenvironments of Bear Lake, Utah and Idaho, and its catchment. Geological Society of America. https://doi.org/10.1130/2009.2450(04)
The content of this resource references	Brooks, P. D., Solomon, D. K., Kampf, S., Warix, S., Bern, C., Barnard, D., Barnard, H. R., Carling, G. T., Carroll, R. W. H., Chorover, J., Harpold, A., Lohse, K., Meza, F., McIntosh, J., Neilson, B., Sears, M., & Wolf, M. (2025). Groundwater dominates snowmelt runoff and controls streamflow efficiency in the western United States. Communications Earth & Environment, 6(1), 341. https://doi.org/10.1038/s43247-025-02303-3
The content of this resource references	Neilson, B. T., Tennant, H., Stout, T. L., Miller, M. P., Gabor, R. S., Jameel, Y., Millington, M., Gelderloos, A., Bowen, G. J., & Brooks, P. D. (2018). Stream centric methods for determining groundwater contributions in karst mountain watersheds. Water Resources Research, 54(9), 6708–6724. https://doi.org/10.1029/2018WR022664
The content of this resource references	Utah Division of Water Rights. (2025). DVRTVIEW River Commissioner Records Viewer - Logan City/Dewitt Springs. Utah Division of Natural Resources. Retrieved August 6, 2025, from https://www.waterrights.utah.gov/cgi-bin/dvrtview.exe?Modinfo=StationView&STATION_ID=15
The content of this resource references	U.S. Geological Survey. (2025). Logan River Above State Dam, Near Logan, UT. U.S. Department of the Interior. Retrieved August 6, 2025, from https://waterdata.usgs.gov/monitoring-location/USGS-10109000
The content of this resource references	U.S. Geological Survey. (2025). Cache Highline Canal Near Logan, Utah. U.S. Department of the Interior. Retrieved August 6, 2025, from https://waterdata.usgs.gov/monitoring-location/USGS-10108400
The content of this resource references	Faure, G. (1986). Isotope systematics of two-component mixtures. In Principles of Isotope Geology (2nd ed., pp. 141–153). Wiley.
The content of this resource references	Tilley, A., Sarabadani, A., Halfaker, A. (2023). sigclust [Software]. Retrieved March 2023, from https://github.com/aetilley/sigclust/tree/master
This resource requires	Vitens. (2023). PhreeqPython (Version 1.5.2) [Software]. Retrieved October 2023, from https://github.com/Vitens/phreeqpython
The content of this resource references	U.S. Geological Survey. (2023). PHREEQC (Version 3.7.3) [Software]. Retrieved October 2023, from https://www.usgs.gov/software/phreeqc-version-3
The content of this resource references	Hsieh, P. A., Barber, M. E., Contor, B. A., Hossain, M. A., Johnson, G. S., Jones, J. L., & Wylie, A. H. (2007). Ground-Water Flow Model for the Spokane Valley-Rathdrum Prairie Aquifer, Spokane County, Washington, and Bonner and Kootenai Counties, Idaho. https://pubs.usgs.gov/sir/2007/5044/

Credits

Funding Agencies

This resource was created using funding from the following sources:

Agency Name	Award Title	Award Number
Utah State University Extension	None	None
Utah Water Research Laboratory	None	None
U.S. National Science Foundation	Collaborative Research: Quantifying Watershed Dynamics in Snow-Dominated Mountainous Karst Watersheds Using Hybrid Physically Based and Deep Learning Models	2043150
U.S. National Science Foundation	Collaborative Research: Quantifying Watershed Dynamics in Snow-Dominated Mountainous Karst Watersheds Using Hybrid Physically Based and Deep Learning Models	2043363
U.S. National Science Foundation	Collaborative Research: Quantifying Watershed Dynamics in Snow-Dominated Mountainous Karst Watersheds Using Hybrid Physically Based and Deep Learning Models	2044051

How to Cite

Hill, D., B. T. Neilson, H. Tennant, D. L. Newell, N. Ashmead, S. Choi, J. P. McNamara, M. Schmitz, L. E. Spangler, T. Xu (2026). Supporting Information: Quantifying the role of karst groundwater on mountain river discharge, HydroShare, https://doi.org/10.4211/hs.b249302b03c3402d894b479881bad42e

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/

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