Three-dimensional imaging of subsurface structural patterns using quantitative large-scale multiconfiguration electromagnetic induction data

摘要: Electromagnetic induction (EMI) systems measure the soil apparent electrical conductivity (ECa), which is related to water content, texture, and salinity changes. Large-scale EMI measurements often show relevant areal ECa patterns, but only few researchers have attempted resolve vertical changes in that principle can be obtained using multiconfiguration devices. In this work, we used determine lateral distribution of at field scale beyond. Processed data for six coil configurations measured Selhausen (Germany) test site were calibrated inverted resistivity tomography (ERT) from a short transect with high range, regridded nearest neighbor interpolation. The quantitative each grid node novel three-layer inversion uses shuffled complex evolution (SCE) optimization Maxwell-based electromagnetic forward model. 1-D results stitched together form 3-D subsurface model showed smoothly varying conductivities layer thicknesses, indicating stability inversion. distributions validated low-resolution grain size maps two 120 m long ERT transects confirmed large-scale patterns. Observed differences attributed content between acquisition days. These findings indicate inversions infer hydrologically active layers.