الفهرس 
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Abstract
ABSTRACT
XIV
ABASTRACT
A milestone of any seismic hazard analysis is the selection of ground motion prediction
equations (GMPEs). In order to reduce uncertainty in the seismic hazard analysis, more than one
GMPE is recommended to be used in the framework of the logic tree, the candidate GMPEs
must be carefully selected and adjusted to a specific region.
The current study presents procedures that evaluate GMPEs for northern Egypt using
ground motion dataset from 66 earthquakes of Mw 3.5-7.1 recorded by the Egyptian National
Seismological Network (ENSN) and networks from neighboring countries, for periods from 0.01
to 10 s and distances of 0-300 km. The method of study is based on the comparison of 5%
damped Pseudo-spectral Acceleration (PSA) of observed and predicted ones using GMPEs of
Abrahamson et al. (2014), Zhao et al. (2006), and Akkar et al. (2014). Based on the comparison
we did residual analysis and define correction coefficients as the mean residual values versus
distance at intervals of 50 km. from this comparison, it is found that the Abrahamson et al.
(2014) and Akkar et al. (2014) models generally provide a good prediction of PSA inferred from
visual inspection and residual analysis. For instance, Abrahamson et al. (2014) model has the
best fit to the observation at short source-to-site distances of < 50 km. At farther distances, we
found that the model of Akkar et al. (2014) has the best fit to the observation. On contrary, it is
noticed that a large deviation from observation is found when applying the Zhao et al. (2006)
model. Furthermore, we corrected the three GMPEs using the correction coefficients derived in
this study and found that the variations are significantly reduced.