To detect near-surface voids and cavities is a common task in engineering geophysics. The worldwide spreading of multi-electrode resistivity measuring systems caused that the geoelectric measurement became one of the most amiable methods applied for cavity detection. Dimensions and position of the cavities can be determined by inversion method. An inversion based on Marquard algorithm was used for estimating the parameters of a 2D model representing the cavities along the profile. The process also resulted the reliability values of each parameter. The method was tested on numerical models and was successfully applied in practice as well. Numerical tests showed high correlation between the depth (h) and radius (r) parameters of the inverted model. To improve the reliabilities of the geometrical parameters (h, r) a simultaneous inversion process was developed. Applying joint inversion for data measured by two different types of geophysical method (e.g.: seismic and resistivity or EM and resistivity etc.) is well documented in literature. However the point of the joint inversion process is that two independent datasets of the same area must be used so using different types of measuring methods is not obligatory. That is why the developed simultaneous inversion process is based on only resistivity datasets but measured by different electrode configurations.


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