Three-dimensional electrical resistivity datasets of the Choushui River Alluvial Fan, Pingtung Plain, and Yilan Plain, Taiwan
Description
This repository provides three-dimensional (3D) electrical resistivity model datasets for three major groundwater regions in Taiwan: the Choushui River Alluvial Fan (CRAF), the Pingtung Plain, and the Yilan Plain. The datasets characterize regional-scale subsurface resistivity structures and are intended to support interdisciplinary research involving subsurface characterization, including hydrogeology, engineering geology, environmental studies, geophysics, and Earth system science. The 3D resistivity models were constructed by integrating site-based one-dimensional (1D) resistivity profiles derived from transient electromagnetic (TEM), vertical electrical sounding (VES), and borehole resistivity (BR) surveys. To ensure consistency among heterogeneous data sources, all 1D profiles were processed using a unified workflow that included depth resampling at 1 m intervals, standardization to a maximum investigation depth of 200 m, and normalization of resistivity values to minimize systematic differences between survey methods. The processed profiles were subsequently spatially interpolated to generate volumetric resistivity distributions representing the subsurface structure of each study area. The repository structure and data formats are designed to facilitate straightforward reuse and extension across multiple research disciplines.
Files
Steps to reproduce
All 3D resistivity models in this repository are provided in Visualization Toolkit (VTK) format. After downloading and extracting the dataset, users should navigate to the directory corresponding to the study area of interest, including the Choushui River Alluvial Fan, the Pingtung Plain, or the Yilan Plain. The Choushui River Alluvial Fan dataset is further divided into northern (Changhua County) and southern (Yunlin County) subdirectories due to its large spatial extent, with separate 3D resistivity model files provided for each subregion. The VTK files can be opened directly using ParaView for interactive visualization or Python-based libraries such as PyVista for programmatic analysis. Each directory also contains figure files documenting geophysical data distribution, model parameter information, and representative cross-sectional resistivity views, which can be used to verify and interpret the models. The datasets can be readily reused for three-dimensional visualization, comparative regional studies, methodological development, numerical modeling input, and educational purposes without the need for proprietary software.
Institutions
Categories
Funders
- Geological Survey and Mining Management Agency, MOEA, TaiwanGrant ID: 110-5726901000-05-01, 111-5726901000-05-01, 112-5726901000-05-01, B113015, and B114048.