Gravimetric studies are becoming more and more widely acknowledged as
a useful tool for studying and modeling the distributions of subsurfac
e masses that are associated with volcanic activity. In this paper, ne
w gravimetric data for the volcanic island of Sao Miguel (Azores) were
analyzed and interpreted by a stabilized linear inversion methodology
. An inversion model of higher resolution was calculated for the Calde
ra of Furnas, which has a larger density of data. In order to filter o
ut the noncorrelatable anomalies, least squares prediction was used, r
esulting in a correlated gravimetric signal model with an accuracy of
the order of 0.9 mGal. The gravimetric inversion technique is based on
the adjustment of a three-dimensional (3-D) model of cubes of unknown
density that represents the island's subsurface. The problem of non-u
niqueness is solved by minimization with appropriate covariance matric
es of the data (resulting from the least squares prediction) and of th
e unknowns. We also propose a criterion for choosing a balance between
the data fit (which in this case corresponds to residues with rms of
the order of 0.6 mGal) and the smoothness of the solution. The global
model of the island includes a low-density zone in a WNW-ESE direction
and a depth of the order of 20 km, associated with the Terceira rift
spreading center. The minimums located at a depth of 4 km may be assoc
iated with shallow magmatic chambers beneath the main volcanoes of the
island. The main high-density area is related to the Nordeste basalti
c shield. With regard to the Caldera Furnas, in addition to the minimu
m that can be associated with a magmatic chamber, there are other shal
low minimums that correspond to eruptive processes.