A Ground-Motion Prediction Model for Shallow Crustal Earthquakes in Greece

Author:

Boore David M.1,Stewart Jonathan P.2,Skarlatoudis Andreas A.3,Seyhan Emel4,Margaris Basil5,Theodoulidis Nikos5,Scordilis Emmanuel6,Kalogeras Ioannis7,Klimis Nikolaos8,Melis Nikolaos S.7

Affiliation:

1. U.S. Geological Survey, Menlo Park, California, U.S.A.

2. University of California, Los Angeles, California, U.S.A.

3. AECOM, Los Angeles, California, U.S.A.

4. Risk Management Solutions, Newark, California, U.S.A.

5. Institute of Engineering Seismology and Earthquake Engineering, Thessaloniki, Greece

6. Department of Geophysics, Faculty of Sciences, Aristotle University, Thessaloniki, Greece

7. Institute of Geodynamics, National Observatory of Athens, Athens, Greece

8. Department of Civil Engineering, Democritus University of Thrace, Xanthi, Greece

Abstract

ABSTRACT Using a recently completed database of uniformly processed strong-motion data recorded in Greece, we derive a ground-motion prediction model (GMPM) for horizontal-component peak ground velocity, peak ground acceleration, and 5% damped pseudoacceleration response spectra, at 105 periods ranging from 0.01 to 10 s. The equations were developed by modifying a global GMPM, to account for more rapid attenuation and weaker magnitude scaling in the Greek ground motions than in the global GMPM. Our GMPM is calibrated using the Greek data for distances up to 300 km, magnitudes from 4.0 to 7.0, and time-averaged 30 m shear-wave velocities from 150 to 1200  m/s. The GMPM has important attributes for hazard applications including magnitude scaling that extends the range of applicability to M 8.0 and nonlinear site response. These features are possible because they are well constrained by data in the global GMPM from which our model is derived. An interesting feature of the Greek data, also observed previously in studies of mid-magnitude events (6.1–6.5) in Italy, is that they are substantially overpredicted by the global GMPM, which may be a repeatable regional feature, but may also be influenced by soil–structure interaction. This bias is an important source of epistemic uncertainty that should be considered in hazard analysis.

Publisher

Seismological Society of America (SSA)

Subject

Geochemistry and Petrology,Geophysics

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