
6. IMPLEMENTATION OF THE
METHOD
The theoretical part of the methodology has already
been presented. Moreover, examples of analyzed, real seismic events
have been presented, too. An overall flowchart that shows how all
these topics, already dealt with, are integrated in an actually
working procedure will be shown in this part of the presentation.
In the following figure (6.1) are given the various steps (numbered
accordingly) which are followed in order to have a successful
shortterm earthquake prediction.
Fig. 6.1. Flowchart, indicating the different,
interrelated steps, to be followed, for a successful,
shortterm earthquake prediction.
The specific flowchart has two distinct inputs. The first one
(step 1) is the monitoring of the Earth's electric field, while the
second one (step 7) is the generation of the theoretical, tidal, lithospheric oscillations.
The most probable occurrence times, for a future strong earthquake,
are selected, from data which are generated from step (7), at step
(8).
From step (1), the seismic precursory electrical signals are
processed at step (2) and these signals are correlated at step (9)
with the results of step (8). The output of this operation, is the
time of occurrence of the future earthquake (step 10), through the
use of the oscillating, plate lithospheric model.
From step (2), the epicentral area of the future earthquake is
determined at step (3). As an immediate result of this calculation,
there is the possibility to calculate the corresponding, cumulative
energy which is stored in the regional seismic area as a function of
time (step 4) using as input, the past, seismic history of the
regional, epicenter area which has already been calculated.
Furthermore, the time of occurrence is already known from step (10)
and therefore, the lithospheric, seismic energy flow model can be
applied at step (5), using as inputs the output of step (10) and
step (4). Consequently, the magnitude (step 6) of the future strong
earthquake can be calculated.
In the already followed procedure, just two data inputs were used;
namely the seismic, electric, precursory signals and the specific
times when max  min oscillating, lithospheric stressload is
achieved.
In conclusion, the three parameters (time, location, magnitude),
needed for a successful earthquake prediction, may be determined,
following the algorithm, presented, in figure (6.1).
