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  3. Waterborne Gradient Self-potential, Temperature, and Conductivity Logging of the Rio Grande from Leasburg Dam State Park, New Mexico to Canutillo, Texas During Bank-Full Conditions, June–July 2020

Waterborne Gradient Self-potential, Temperature, and Conductivity Logging of the Rio Grande from Leasburg Dam State Park, New Mexico to Canutillo, Texas During Bank-Full Conditions, June–July 2020

Dates

Publication Date
Start Date
2020-06-26
End Date
2020-07-02

Citation

Ikard, S.J., Carr, S.M., Seelig, W.G., and Teeple, A.P., 2021, Waterborne Gradient Self-potential, Temperature, and Conductivity Logging of the Rio Grande from Leasburg Dam State Park, New Mexico to Canutillo, Texas During Bank-Full Conditions, June–July 2020: U.S. Geological Survey data release, https://doi.org/10.5066/P9GTF1QB.

Summary

This data release contains waterborne gradient self-potential (SP), surface-water temperature, and surface-water conductivity data measured continuously along approximately 72 kilometers (km) of the Rio Grande over the Mesilla part of the Hueco–Mesilla Bolson aquifer. The geophysical measurements were made from a kayak between June 26, 2020 and July 2, 2020 during peak releases of surface-water in the range of 54 to 65 cubic meters per second from Elephant Butte and Caballo Dams upstream from the surveyed reach. The full geophysical survey extended between Leasburg Dam in Leasburg Dam State Park, New Mexico, and the Farm to Market (FM) 259 bridge in Canutillo, Texas. For data-collection purposes, the full survey reach was divided into [...]

Contacts

Point of Contact :
OTWSC Public Information Officer
Process Contact :
Scott J Ikard
Originator :
Scott J Ikard, Shawn M Carr, William G Seelig, Andrew P Teeple
Metadata Contact :
OTWSC Public Information Officer
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
SDC Data Owner :
Oklahoma-Texas Water Science Center
USGS Mission Area :
Water Resources

Attached Files

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Field_Conditions_Data_Acquisition.JPG
“Data acquisition on the Rio Grande during peak-flow conditions” 		thumbnail 1.6 MB image/jpeg
HFEM_Resistivity.csv
“Helicopter Frequency Domain Electromagnetic Resistivity Data” 		1.59 MB text/csv
Observed_Self_Potential_Noise_Locations_Rio_Grande.csv
“Noise Locations” 		1.14 KB text/csv
Process_code.m
“Processing Code” 		59.97 KB text/x-objcsrc
Seepage_Stations.csv
“Seepage Stations” 		3.01 KB text/csv
Self_Potential_Data_Rio_Grande.csv
“Gradient Self-Potential Data” 		3.35 MB text/csv
Self_Potential_Electrode_Drift_Data_Rio_Grande.csv
“Electrode Drift Data” 		190.82 KB text/csv
TAAP_RioGrande_SP_Metadata.xml
Original FGDC Metadata
View 		68.32 KB application/fgdc+xml
Temperature_Conductivity_Data_Rio_Grande.csv
“Temperature and Conductivity Data” 		2.09 MB text/csv
Yearly_and_Median_Seepage_Gain_or_Loss.csv
“Yearly and Median Seepage Gain or Loss” 		2.76 KB text/csv
Yearly_Streamflow_Measurements.csv
“Yearly Streamflow Measurements” 		3.36 KB text/csv

Purpose

These waterborne self-potential, surface-water temperature, and surface-water data were collected to produce continuous profiles of voltage, temperature, and conductivity in the Rio Grande during bank-full flow conditions. The composite dataset is intended to provide a basis for making qualitative interpretations of variations of streaming-potential in the river across the Mesilla part of the Hueco-Mesilla Bolson from Leasburg Dam State Park, New Mexico to the Farm to Market (FM) 259 bridge in Canutillo, Texas.
Data acquisition on the Rio Grande during peak-flow conditions
Data acquisition on the Rio Grande during peak-flow conditions

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Communities

  • USGS Data Release Products
  • USGS Oklahoma-Texas Water Science Center

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Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9GTF1QB

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