Quantification of soil textural and hydraulic properties in a complex conductivity imaging framework: Results from the Wolfsegg slope

We present an approach that permits to predict hydraulic conductivity from extensive, multi-methodical geophysical data collected on a hillslope affected by landslides in Austria. The objective of the investigation is spatial characterization slope mass movements derive hydrogeological structures and preferential flow paths. sets presented this study consists 24 densely distributed complex (CC) imaging profiles, collocated these profiles we also 517 transient electromagnetic (TEM) soundings 10 refraction seismic tomography (RST) profiles. Additionally, well-logging (namely electrical resistivity, natural gamma logs) five boreholes. Cores recovered during drilling boreholes are used aid interpretation units, while analysis sediments was conducted obtain grain size distributions, cation exchange capacity mineralogy subsurface materials. While all processed initially independently, final results based incorporation structural constraints about units obtained TEM soundings. resolved CC then sustained RST images lithological information estimate derived using two-step approach. In first step, investigated link between different soil volume fractions gravel, sand, silt clay. second applied pedo-transfer function, namely well-known Rosetta model, estimated volumes. This allowed quantitative thus 3-dimensional (3D) representation distribution section. Thereby, observed well-determined site-specific relationships ( R 2 > 0.7) comparison resistivity analysis. hydrogeophysical 3D model delineate geometry aquiclude, and, thus, water-flow particular, can identify correlation aquiclude interface morphological features.