  This research presents one possible way for imminent prediction of earthquake
magnitude, depth and epicenter coordinates by solving the inverse problem using
a data acquisition network system for monitoring, archiving and complex
analysis of geophysical variables precursors. Among many possible precursors
the most reliable are the geoelectromagnetic field, the boreholes water level,
the radon surface concentration, the local heat flow, the ionosphere variables,
the low frequency atmosphere and Earth core waves. In this study only
geomagnetic data are used. Within the framework of geomagnetic quake approach
it is possible to perform an imminent regional seismic activity forecasting on
the basis of simple analysis of geomagnetic data which use a new variable Schtm
with dimension surface density of energy. Such analysis of Memambetsu, Kakioka,
Kanoya (Japan, INTERMAGNET) stations and NEIC earthquakes data, the hypothesis
that the predicted earthquake is this with bigest value of the variable Schtm
permit to formulate an inverse problem (overdetermined algebraic system) for
precursors signals like a functions of earthquake magnitude, depth and distance
from a monitoring point. Thus, in the case of data acquisition network system
existence, which includes monitoring of more than one reliable precursor
variables in at least four points distributed within the area with a radius of
up to 700 km, there will be enough algebraic equations for calculation of
impending earthquake magnitude, depth and distance, solving the overdetermined
algebraic system.
