Research data supporting "Integrated interpretation of electrical resistivity tomography and soil-gas radon for shallow goaf- and collapse-related anomalies in a metal mine: A case study at the Darongxi scheelite mine"
Description
This dataset supports the manuscript entitled “Integrated interpretation of electrical resistivity tomography and soil-gas radon for shallow goaf- and collapse-related anomalies in a metal mine: A case study at the Darongxi scheelite mine” (Manuscript No. APPGEO-D-26-00795), submitted to the Journal of Applied Geophysics. The dataset contains raw and processed field data acquired along seven co-located electrical resistivity tomography (ERT) and soil-gas radon survey lines at the Darongxi scheelite mine, China. The deposited materials include soil-gas radon measurements, line-specific radon threshold calculations, available ERT field data and acquisition metadata, survey geometry and topographic information, ERT inversion input/output files and available inversion parameters, model-resistivity data used for pseudo-3D interpolation, and supporting processing documentation. The primary radon-high reference threshold was calculated separately for each survey line using the line-specific mean plus one standard deviation (Mean+SD), while the 90th percentile (P90) was used as an alternative threshold to evaluate the sensitivity of the identified radon highs to threshold definition. The deposited data are intended to support transparency, verification, and reproducibility of the analyses reported in the manuscript. Historical acquisition or quality-control parameters that could not be recovered from the archived field records have not been reconstructed; these limitations are explicitly documented in the accompanying README file.
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Steps to reproduce
Soil-gas radon data were processed separately for each survey line. At each sampling point, three consecutive 5-min measurements were acquired using the RAD7 in Sniff mode. The first cycle was used for gas-line replacement and instrument-response stabilization, and the arithmetic mean of the second and third cycles was taken as the representative soil-gas radon concentration. Valid high values were retained without numerical clipping, replacement, or subjective smoothing. For each survey line, the mean plus one standard deviation (Mean+SD) was used as the primary reference threshold for identifying radon highs. The 90th percentile (P90) was calculated independently as an alternative threshold to evaluate the sensitivity of the identified high-value zones to threshold definition. ERT data were quality checked before inversion. Records affected by identifiable instrument errors, invalid current or potential readings, or formatting errors were excluded, whereas the remaining observations were retained. Topographic information was incorporated, and two-dimensional inversion was performed using RES2DINV v3.54.44. The principal archived inversion parameters included an initial damping factor of 0.15, a minimum damping factor of 0.05, a first model-layer thickness of 0.5 m, and a vertical layer-thickness growth factor of 1.25. Final inversion models were selected according to model convergence and fitting-error behavior. For pseudo-3D visualization, model-resistivity values exported from the seven independent 2D ERT inversion sections were interpolated in Voxler 4 using inverse distance weighting (IDW). The resulting volume was used only as an interpolation-based pseudo-3D visualization and was not treated as a three-dimensional geophysical inversion. The deposited dataset includes the available raw and processed data, inversion files, and processing information. Historical acquisition and quality-control parameters that were not preserved in the archived field records were not reconstructed and are identified as unavailable in the accompanying documentation.
Institutions
- University of South ChinaHunan, Hengyang