Open AccessImproved hydrogeophysical imaging by structural coupling of 2D magnetic resonance and electrical resistivity tomography
Author(s) -
Nico Skibbe,
Thomas Günther,
Mike MüllerPetke
Publication year - 2021
Publication title -
geophysics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.178
H-Index - 172
eISSN - 1942-2156
pISSN - 0016-8033
DOI - 10.1190/geo2020-0593.1
Subject(s) - electrical resistivity tomography , electrical resistivity and conductivity , tomography , geology , ground penetrating radar , permeability (electromagnetism) , inversion (geology) , coupling (piping) , geophysical imaging , inverse problem , aquifer , geophysics , soil science , groundwater , materials science , computer science , geotechnical engineering , optics , radar , geomorphology , physics , mathematical analysis , mathematics , structural basin , membrane , biology , genetics , telecommunications , quantum mechanics , metallurgy
Describing hydraulic properties in the subsurface in at least two dimensions is one of the main objectives in hydrogeophysics. However, due to the limited resolution and ambiguity of the individual methods, those images are often blurry. We have developed a methodology to combine two measuring methods, magnetic resonance tomography (MRT) and electrical resistivity tomography (ERT). To this end, we extend a structurally coupled cooperative inversion scheme to three parameters. It results in clearer images of the three main parameters: water content, relaxation time, and electrical resistivity; thus, there is a less ambiguous hydrogeophysical interpretation. Synthetic models demonstrate its effectiveness and show how the parameters of the coupling equation affect the images and how they can be chosen. Furthermore, we examine the influence of resistivity structures on the MRT kernel function. We apply the method to a roll-along MRT data set and a detailed ERT profile. As a final result, a hydraulic conductivity image is produced. Known ground-penetrating radar reflectors act as the ground truth and demonstrate that the obtained images are improved by the structural coupling.