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Prediction of strong ground motion at EURO-SEISTEST site using the empirical Green's function method
Authors:Katsuhiro Kamae  Pierre-Yves Bard  Kojiro Irikura
Institution:(1) Research Reactor Institute, Kyoto University, Japan;(2) Laboratoire de Geophysique Interne et Tectonophysique, Grenoble, France;(3) Laboratoire Central des Ponts-et-Chaussees, Paris, France;(4) Disaster Prevention Research Institute, Kyoto University, Japan
Abstract:This paper presents some tests on the empirical Green's function method, performed in order to check its effectiveness to predict strong ground motion during future large earthquakes. These investigations basically consist of blind or pseudo-blind tests using part of the data set obtained at the Volvi (Greece) test-site within the framework of the EURO-SEISTEST project. In a first step, a moderate event (ML=4.1) is simulated by using a small event (ML=2.5), and taking into account the a priori knowledge of the relevant source parameters (magnitude and stress-drop) for both the base and target events. This check emphasizes the sensitivity of the prediction to the stress-drop values. In a second step, a pseudo-blind prediction is carried out in which the information on the target event is only the magnitude (ML=5.3) besides the geometrical parameters such as source location, strike and dip. The other important parameters (seismic moment, fault area, stress-drop) are determined on the basis of specific empirical scaling laws derived from several small and moderate events occurring in the area. The synthetic motions are computed for two nearby sites, which are located on the southern edge and in the center of the Mygdonian graben, respectively, and correspond to much different site conditions: weathered rock and thick sediments. They are found in good agreement with the observations, which were unveiled after the simulation. In particular, the amplitude and the phase of the late, local surface waves generated on the southern edge of the graben, are very well reproduced at valley center. Finally, the last step is an attempt to predict strong ground motion for a hypothetical large earthquake of magnitude ML=6.5. The results are shown to depend very significantly on the scaling laws.
Keywords:blind prediction  empirical reen'sfunction method  EURO-SEISTEST  hypothetical ML=6  5 earthquake  scaling laws  strong ground motion  volvi valley (Greece)
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