Integration of geophysical datasets by a conjoint probability tomography approach: Application to Italian active volcanic areas

Abstract

We expand the theory of probability tomography to the integration of different geophysical datasets. The aim of the new method is to improve the information quality using a conjoint occurrence probability function addressed to highlight the existence of common sources of anomalies. The new method is tested on gravity, magnetic and self-potential datasets collected in the volcanic area of Mt. Vesuvius (Naples), and on gravity and dipole geoelectrical datasets collected in the volcanic area of Mt. Etna (Sicily). The application demonstrates that, from a probabilistic point of view, the integrated analysis can delineate the signature of some important volcanic targets better than the analysis of the tomographic image of each dataset considered separately.