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14.86 km Profiles of the Electric and Self-potential Fields Measured in the Lower Guadalupe River Channel, Texas Interior Gulf Coastal Plain, September 2016

Metadata Updated: July 6, 2024

This data release consists of three geophysical data sets measured in the lower Guadalupe River channel, south-central Texas, and one supplementary geophysical data set measured in a laboratory. The lower Guadalupe River is incised into the outcrop of the Carrizo-Wilcox aquifer in south-central Texas. The river and the aquifer are hydraulically connected across the outcrop, although the connectivity is obscured by alluvium and surface-water and groundwater exchange dynamics are currently poorly understood. The data sets were therefore produced to investigate surface-water and groundwater exchange dynamics between the lower Guadalupe River and the Carrizo-Wilcox aquifer, and consist of (1) a 14.86 kilometer (km) profile of waterborne gradient self-potential (SP) data; (2) a 20 km profile of waterborne resistivity tomography data; and (3) discrete profiles of water temperature and electric conductivity in the channel, acquired with a handheld conductivity probe. The shorter gradient SP profile overlaps the longer waterborne resistivity tomography profile. Gradient SP profile data were measured with floating 2 meter dipole by logging potential differences between the dipole electrodes at a frequency of one sample per second while the dipole floated in a downstream direction in the channel. Resistivity tomography profile data were measured using the IRIS Syscal Pro direct-current resistivity meter connected to an 80 m long floating, multi-electrode cable containing 13 stainless-steel electrodes. The resistivity meter incorporated an echo sounder to determine the depth of the water column along the resistivity profile, and the data along each respective profile were geospatially located with a differential global positioning system.
The laboratory data set contains approximately 4.5 hours of logged measurements of the potential difference between the electrodes of the dipole used for gradient SP profiling in the lower Guadalupe River. This data set was used to correct the gradient SP field measurements for their transient drift characteristics based upon the drift-characteristics that were observed in the laboratory.
The companion journal paper to this data release explores the utility of these water-borne geoelectric methods in delineating gaining and losing channel reaches, and demonstrates that geoelectric signals in the form of total electric field strength can be logged with an electric dipole and decomposed into component SP signals and interpreted with respect to regional and local groundwater flow patterns, net gaining and losing segments of a surface channel, and localized gains and losses distributed throughout a channel that are attributable to bed-form induced hyporheic exchange flows.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
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Identifier USGS:599c8dfbe4b0b589267ed8ea
Data Last Modified 20200827
Category geospatial
Public Access Level public
Bureau Code 010:12
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Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
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Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -97.809489000003,29.523018,-97.730386999999,29.558333
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 9b6df341c9061de9577622c9e63622104a95b599d2ac941e9a50cd2213d1bb80
Source Schema Version 1.1
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