Integration of geophysical datasets by a conjoint probability tomography approach: application to Italian active volcanic areas
Main Article Content
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.
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.
Article Details
How to Cite
1.
Mauriello P, Patella D. Integration of geophysical datasets by a conjoint probability tomography approach: application to Italian active volcanic areas. Ann. Geophys. [Internet]. 2008Feb.18 [cited 2022Oct.5];51(1). Available from: https://www.annalsofgeophysics.eu/index.php/annals/article/view/3042
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