Bs. Singer et Eb. Fainberg, Modelling of electromagnetic fields in thin heterogeneous layers with application to field generation by volcanoes - theory and example, GEOPHYS J I, 138(1), 1999, pp. 125-145
When interpreting electromagnetic fields observed at the Earth's surface in
a realistic geophysical environment it is often necessary to pay special a
ttention to the effects caused by inhomogeneities of the subsurface sedimen
tary and/or water layer and by inhomogeneities of the Earth's crust, The in
homogeneities of the Earth's crust are expected to be especially important
when the electromagnetic field is generated by a source located in a magma
chamber of a volcano, The simulation of such effects can be carried out usi
ng generalized thin-sheet models, which were independently introduced by Dm
itriev (1969) and Ranganayaki & Madden (1980), In the first part of the pap
er a system of integral equations is derived for the horizontal current tha
t flows in the subsurface inhomogeneous conductive layer and for the vertic
al current crossing the inhomogeneous resistive layer representing the Eart
h's mantle. The terms relating to the finite thickness of the laterally inh
omogeneous part of the model are retained in the equations. This only margi
nally complicates the equations, whilst allowing for a significant expansio
n of the approximation limits.
The system of integral equations is solved using the iterative dissipative
method developed by the authors in the period from 1978 to 1988, The method
can be applied to the simulation of the electromagnetic field in an arbitr
ary inhomogeneous medium that dissipates the electromagnetic energy. When c
onsidered on a finite numerical grid, the integral equations are reduced to
a system of linear equations that possess the same contraction properties
as the original equations. As a result, the rate at which the iterative-per
turbation sequence converges to the solution remains independent of the num
erical grid used for the calculations. In contrast to previous publications
on the method, aspects of the algorithm implementation that guarantee its
effectiveness and robustness are discussed here.