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Self-potential tomography preconditioned by particle swarm optimization—Self-potential monitoring and streamflow data acquired March 26–September 14, 2023 at East Fork Poplar Creek near Oak Ridge Tennessee, with forward and inverse modeling computer scripts

Dates

Publication Date
Start Date
2023-03-26
End Date
2023-11-08

Citation

Ikard, S.J., Carroll, K.C., Brooks, S.C., Smith-Vega, G., Elwes, A., and Rucker, D.F., 2024, Self-potential tomography preconditioned by particle swarm optimization—Self-potential monitoring and streamflow data acquired March 26–September 14, 2023 at East Fork Poplar Creek near Oak Ridge Tennessee, with forward and inverse modeling computer scripts: U.S. Geological Survey data release, https://doi.org/10.5066/P9ASZNJR.

Summary

This data release contains self-potential (SP) monitoring data measured on the flood plain of East Fork Poplar Creek (East Fork) in Oak Ridge, Tennessee and streamflow data measured at streamgage EFK5.4 about 310 meters upstream from the SP monitoring site. Additionally, forward and inverse numerical modeling scripts used to model the electrical-potential field on the East Fork flood plain are provided. SP monitoring data included in this data release were measured at 39 different data-collection points on the east flood plain; 30 points were spaced 3-m apart along an 87-m profile parallel to the edge of the streambank, and 9 points were spaced 5-m apart along a 40-m profile approximately perpendicular to the streambank. The two profiles [...]

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Survey_Reach_From_Upstream.JPG
“Photograph of the Geophysical Survey Reach”
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README.txt
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“Data release files”
2.93 GB application/zip

Purpose

This data release provides a two-dimensional self-potential (SP) monitoring dataset composed of voltages measured through time at multiple data-collection points along two intersecting profiles on the flood plain of East Fork Poplar Creek (East Fork) in Oak Ridge, Tennessee and streamflow data measured about 310 meters upstream from the SP monitoring site. In addition to these SP datasets, data-processing computer scripts are provided and written in MATLAB version R2022a syntax to perform basic data-processing steps and to formulate and solve the SP inverse problem by a combination of global-search and gradient-based algorithms.

Rights

This work is marked with Creative Commons Zero v1.0 Universal (https://creativecommons.org/publicdomain/zero/1.0/).

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9ASZNJR

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