Exploring the Model Space of Airborne Electromagnetic Data to Delineate Large?Scale Structure and Heterogeneity Within an Aquifer System

Airborne electromagnetic (AEM) data can be inverted to recover models of the electrical resistivity subsurface; these, in turn, transformed obtain sediment type. AEM were acquired Butte and Glenn Counties, California, USA improve understanding aquifer system. Around 800 line-kilometers high-quality acquired, imaging a depth ?300 m. We developed workflow designed obtain, from data, information about large-scale structure heterogeneity system better understand vertical connectivity. Using six different inversions incorporating various forms available posterior sampling recovered models, we produced 6,006 models. These type estimates percentage sand/gravel. Exploring model space, containing derived allowed us delineate way that captures communicates uncertainty identified The increased, as expected, with depth, but also served indicate, areas high type, location both small-scale interfaces between types. A plan view map integrated sand/gravel, when compared existing hydrographs, revealed extent lateral changes connectivity within throughout study area.