Modelling macroseismic observations for historical earthquakes: the cases of the M = 7.0, 1954 Sofades and M = 6.8, 1957 Velestino events (central Greece)

Abstract

We attempt to model the spatial distribution of the strong ground motion for the large M = 7.0, 1954 Sofades and M = 6.8, 1957 Velestino events (southern Thessaly basin, central Greece), using the macroseismic intensities (IMM up to 9+) observed within the broader Thessaly area. For this reason, we employ a modified stochastic method realised by the EXSIM algorithm for extended sources, in order to reproduce the damage distribution of these earthquakes, in an attempt to combine existing earthquake information and appropriate scaling relations with surface geology and to investigate the efficiency of the available macroseismic data. For site-effects assessment, we use a new digital geological map of the broader Thessaly basin, where geological formations are grouped by age and mapped on appropriate NEHRP soil classes. Using the previous approach, we estimate synthetic time series for different rupture scenarios and employ various calibrating relations between PGA/PGV and macroseismic intensity, allowing the generation of synthetic (stochastic) isoseismals. Also, different site amplification factors proposed for the broader Aegean area, according to local geology, are tested. Finally, we also perform a sensitivity analysis of the fault location, taking into account the available neotectonic data for the broader southern Thessaly fault zone. The finally determined fault locations are different than previously proposed, in agreement with the available neotectonic information. The observed macroseismic intensities are in good agreement with the ones derived from the synthetic waveforms, verifying both the usefulness of the approach, as well as of the macroseismic data used. Finally, site-effects show clear correlation with the geological classification employed, with constant amplification factors for each soil class generally providing better results than generic transfer functions. © 2015, Springer Science+Business Media Dordrecht